digital transformation - linked data€¦ · so, if you like, conweaver has hit the mark with its...

DIGITAL TRANSFORMATIONIntegration of Heterogeneous IT Landscapes

Results Paper of the CONWEAVER GmbH Workshop on 22nd September 2017 in Darmstadt Germany

More than 40 proven experts from the methodological and process environment examine the potential of networking data sources at an exclusive CONWEAVER event

The phrase ldquodata is the new oilrdquo often mentioned in the same breath as the digital transformation allows our increased interest to move away from what we have already achieved as a goal to those traces that we leave behind Not only the product as such but also the condensed ldquoknowledgerdquo associated with it in the form of structured and unstructured data is of considerable value according to the new reading in the Holocene of digitization which is so significant that during the past Global Product Data Interopera-bility Summit in Phoenix Arizona the request ldquoConnecting the Digital Thread The Right Data to the Right Place at the Right Timerdquo was addressed The coming digitization requires us to consistently raise all (data) treasures no matter how deep they are buried in any source systems and may still have to be refined

So if you like CONWEAVER has hit the mark with its Linked Data portfolio and at the same time under-stood how to give the user the necessary freedom to explore the added value of the technologies offered - certainly very sophisticated - for him or herself And so the format of this yearrsquos workshop ldquoLinked Data 2017rdquo was in the tradition of last yearrsquos workshop and an event from the year 2013 The participantsrsquo own initiative was in the foreground not the frontal presentation of a brilliant speaker

ON THE THRESHOLD TO A NEW UNDERSTANDINGDr Bernhard D Valnion d1g1tal AGENDA

DIGITAL TRANSFORMATION

WORKSHOP LINKED DATA 2017

wwwconweavercom copy CONWEAVER 2017

As an aperitif to the following rounds of discussions Michael Edig presented Daimlerrsquos mega-project ldquoPDM 2020rdquo and the role of the vision ldquoDigital Twinrdquo

With the Digital Twin Edig emphasized there is the possibility of formulating a target image in such a way that it can even be considered by the board of directors a chance which the term ldquoPLMrdquo has long since lost The motive for this is known ldquoSoftware Flashing over the Airrdquo which can only work if the con-figuration of each delivered vehicle is known in detail

What Tesla has long since demonstrated is now what all automotive OEMs want to make pos-sible with their processes The manager said ldquoPDM 2020 as a vision of modern product data management is a component to implement the Digital Twin at Daimlerrdquo This requires the com-prehensive indexing of truly all data sources via a new yet to be implemented data layer recognizing the signs of the times in the selec-tion process for the Data Layer Daimler did not opt for a standard requirement specification approach because this would take far too long but for a hack marathon (ldquohackathonrdquo) in which several software providers enter the ring at once and do their best

After the keynote speech the go-ahead was given for the discussion rounds at the four thematic tables

1 Technology vis-agrave-vis

2 Linked Data Management

3 Single Source of Truth

4 Knowledge vs Information

The vivid conversations bridged the gap between the proven and the established on the one hand and questions and possible answers on the other about which changes are necessary for a consequent digiti-zation of the lived methods and processes

2

Digital Transformation is the topic and will remain so in the medium term It is bringing radical changes to society at a rapid pace that have not even been triggered by the Industrial Revolution Due to the complexity of structures and processes as well as the deep penetration of technology the (compulsion to) change for companies is multiplied by many times Unimaginable amounts of data are collected in the company on the basis of development and production data as well as networking with end custom-ers Data and information that are waiting to flow back into the improvement of processes and products The speed of innovation is enormous which equals corresponding pressure

And the market does not wait Disruptors in form of start-ups or hitherto non-market companies scratch the position of established companies due to their flex-ibility and agility Yet ldquonot the bigger but the faster one has competitive advantagesrdquo For some Sword of Damocles for others opportunity Proven processes are now under scrutiny New challenges are difficult to solve with old answers

The Workshop Idea

We raised questions and controversial discussions with participants from the manufacturing industry primar-ily the automotive and aviation sectors Moreover we developed ideas that support you in your day-to-day business life helping you to become the winner of Digital Transformation

The complexity of in-house and external business processes of OEMs and suppliers has become even clearer

bull What does the Digital Transformation actually mean to mebull How quickly can I bring about the necessary change in my companybull Where do I actually start and to what extent do I have to redesign processes - or even radically

change my business modelbull Which technologies and mental approaches help me to do thisbull How do I design projects that generate benefits for practice not theorybull And what does this mean for my colleagues and employees

3

Marc Fauquembergue CONWEAVER GmbH

THE WORKSHOP

Digital Transformation ndash the Sword of Damocles





The Workshop ConceptIn four World Cafeacute rounds the participants continued to develop the theme tables under the sponsorship of the experts Thus it was possible for all participants to bring in experiences ideas and opinions on each topic Always questioning its context the effects on its (potential) users which resultant strategies or processes emerge or are essential for its realization

The summary of the respective tables was subsequently prepared by the sponsor and their corresponding part-ners of CONWEAVER In order to preserve the spirit and creativity of the discussions we have left the summaries largely as they were and have decided against a uniform structure The different font colors in the mind maps and on the table papers reflect the different groups throughout the day

Figure The World Cafeacute tables with their sponsors

4

In the course of the Linked Data Workshop (LiDa 2017) this table focused on questions around the topic of archi-tecture Under the theme ldquoTechnologies vis-agrave-visrdquo ques-tions about the right technology for digital transformation were discussed

The basis for this discussion was the depicted simplified representation of a future IT architecture in companies that has been built up along business processes over the years and that is increasingly ex-posed to competition to a constantly changing IT landscape This leads to a recurrent discussion of the conflicting often contradictory philosophies of data transformation To sum up the discussions of the day the most relevant differences can be con-densed as follows

bull Openness vs security

bull Monolith vs pluralism

bull Dynamic vs resistance (plannability)

bull In-house vs cloud

Round 1The first round began with the question of whether information networking is generally necessary since the data source already contains all information Many systems would have overlaps that could be reused in one tool This was countered by the fact that a so-called monolith does not work here In par-ticular the speed of change has created new challenges that a monolith cannot overcome altogether The

flexibility in the composition of processes and the integration of new ldquodata poolsrdquo requires an adaptable architecture


TECHNOLOGIES VIS-Aacute-VIS

What is the right Technology for my Digital TransformationDoes it even existbull Which architectural approaches are there Advantages Disadvantagesbull What does it require What should be left out

Markus Zoier Virtual Vehicle Research CenterMarkus Schmitter CONWEAVER GmbH

Figure Simplified representation of the future IT architecture in companies

5

Monolith does not workAndreas Schuchardt Wintershall Holding GmbH

Information is role-independentAlwin Pross EMS GmbH



Furthermore one has to free the mind from the idea of a frontend for all tasks Rather there should be the possibility of reconnect-ing data and building up individual user inter-faces (Apps) that are useful for the respec-tive application purpose It would be useful to create a data lake (cloud memory) that users and applications can access This requires open systems and standards for which the Code of PLM Openness advocates However this openness is not entirely unproblematic with regard to information protection classes

Round 2

The second round began with the argument that in spite of all the flexibility a given structure was an inevitable requirement Data had to be standardized and made comparable For example different names languages or units are problematic

However the problem here is less about technology but about the manual effort of data cleansing In this context changes in the information landscape and the adaptation of technological solutions after the ini-tial introduction phase are additionally problematic which in the worst case has an impact on all source systems and must be followed up there

The time component must also be taken into account Test cases from five years ago should still be com-prehensible today Answers to questions such as ldquoHave the processes changedrdquo ldquoWhat were the as-sumptions for a test case back thenrdquo ldquoWho was the involved supplier at the time of the testrdquo The system must therefore enable a ldquohistorical networking modelrdquo


Dynamics and speed of change is the new challenge This requires an adaptable architectureDietmar Trippner dreiconsult GbR

We need new ways of providing data The way in which twenty-year-olds work today is different than it was 20 years agoAlwin Pross EMS GmbH

The system must enable a bdquohistorical networking modelldquoParticipant Linked Data Workshop 2017

6

Round 3The third round focused on the system from a supplier perspective From their point of view an open or semi-open system would have the advantage of being able to work directly on the customerlsquos data and thus avoid the disadvantages of system updates different units and denominations etc Such an approach enables the development of valid data and eliminates transmission errors

As a solution microservices were suggested which ideally considered the authorizations of the respective suppliers

Round 4In round four the focus of the discussion was on the demand for companies to rethink their approach in order to implement flexible software solutions in an efficient way

A system must support agility in order to react dynamically and flexibly to requirements The understand-ing in upper management was seen as problematic in this discussion group Due to an agile working meth-od results are not recognizable in advance and consequently difficult to measure

ConclusionAt the end of the day the requirement for a flexible IT architecture with interchangeable systems was considered relevant by the majority of participants Individual elements of this infrastructure should be replaceable without much effort without adversely affecting the user level This can only be achieved with a certain degree of openness whereby each company must decide for itself which data shall be made available to whom and to what extent On part of suppliers in particular there was a strong desire that the manufacturing companies should disclose parts of their data to the outside world and make them available

A challenge is still the ideology which has grown in some cases over decades that a product once purchased can be used forever Only slowly a rethinking begins also driv-en by the younger app-tested generation


Today product suppliers copy OEM data into their own formats to workFranz Gleixner Draumlxelmaier Group



LINKED DATA MANAGEMENT

Does the Linked Data Layer (LDL) offer Read-Only Accessbull Where are concrete areas of application that go beyond transparencybull What does the practice need

Sylke Rosenplaumlnter Opel Automobile GmbHFrank Pospischil CONWEAVER GmbH

At first it was unclear whether ldquoaccessrdquo meant access to the Linked Data Layer or access to the source systems The read access is undoubtedly related to the LDL Nevertheless there was a lot of discussion at the beginning with focus on writing access to the source systems Only in the course of the discussions it became clear that a writing access to the Linked Data Layer is also a valid approach

In the following paragraphs the original contributions of the participants as recorded in the Word Cafeacute on the desktop wallpaper were summarized thematically Subsequent comments of the table hosts can be found in italics

1 Fundamental ConsiderationsIn addition to the effort to identify concrete examples of applications that would require writing access funda-mental considerations were also addressed The partic-ipants discussed the requirements as well as problem areas The keywords mentioned can be assigned to the following topics

11 Linked Data GovernanceLinked Data Governance combines all notes dealing with the organizational aspects of a data layer

bull Which data exists (In the sense of a directory)bull Hard links vs soft links (semantic)

(Distinction of key-based connections from semantic relationships)bull Defining standardsbull Data ownershipbull Metadata vs user data (data vs context)bull Performancebull Traceabilitybull Playground management (Context)

(In the sense of a controlled selectionfiltering of the connected sources)

8wwwconweavercom copy CONWEAVER 2017

12 Saving Search ResultsA central issue that was controversially discussed On the one hand storing results generated by live queries of dynamic content was considered counterproductive On the other hand the desire for repro-ducibility was often expressed in order to document certain facts on a permanent basis

13 Enrichment vs CorrectionAs an alternative to changing data in the source it has been discussed whether and how data can be en-riched with information to represent the same facts without changing the source

14 Proprietary Data Formats NotDifficult to useThe variety and complexity of proprietary data formats was apparently the biggest problem in consider-ing whether to write data back to the source Since data in the LDL is only available in extracts important prerequisites may be missing to carry out a complete and consistent change process

15 Access Rights (search and write)How the processes required for a possible data change can be controlled was also addressed

It was clearly recognized that the focus of an LDL is to con-sume data and not to generate it The number of readers is far above the possible number of authors

Keywords

bull Checkoutbull Expansion of reading access currently

has priority 1

Figure Requirements and problem areas in Linked Data Management




2 Fields of ApplicationThe possibilities offered by write access can be roughly divided into five application areas based on the collected keywords

21 ValuationAnalysisAll keywords related to the subjective assessment of the data and their connection to each other are summarized here

bull Taggingfavorites (also likeshare and other social media techniques)bull What-if analysis (Changingoverwriting data to simulate the effects on the result)bull Planningscheduling (plausibility check)bull Results ranking

loz Ranking of search results -gt even user-specific if necessaryloz Learn and change rules

22 AdjustmentThe focus here was on aspects of changing data in the source

bull Change Goldsourcesource systembull Reduce doubleredundant sourcesbull Rewritingchanging with two levels of view

1 technically possible -gtYES2 procedurally meaningful -gtYES but depending on the benefit

bull Which application is being written from (native or third-party application) Prevention of inconsistencies and incompleteness in the data sources

bull Resolving inconsistencies (e g component weights) - do we have to duplicate databull Resolve inconsistencies in weights (target realized measured calculated)

Figure Prerequisites and problem zones in Linked Data Management


23 EnrichmentOverlayInstead of changing data in the source the LDL itself was identified as a data source to provide additional information

bull Linked Data Layer as a new source systembull Deliberately writing back analysis results (especially for complex systems)bull Enrichment of relationship knowledge (native AppCONWEAVER graph)bull Where to write the result of a search that has additional valuebull Create connectionsdependencies based on the search resultbull Semantic linkingbull Add information to links

24 WorkflowAs a further alternative to direct writing in source systems it was recognized that the initialization of a workflow for this purpose can also be triggered by writing information

bull Questions(and comments)bull Clearingworkflowbull Blockchainfortransactionalwriting

25 User Experience (UX)This chapter summarizes the ideas that came up for the user interface The interpretation of bdquoreading accessldquo as an audible process was of particular interest

bull User-defined searches (recurring tasks)bull UX -gt eg voice input -output -gtAI

(Artificial Intelligence in the sense of an intelligent interpretation of a spoken search query in a certain context)

bull Search from the point of view of other peoplebull Save searchtemplates -gt create new documentation on demandbull Save the frame of Linked Data and export it to Excel

3 Summary

One participant initially showed that he had been convinced of the idea of a writing component until then but that he had deviated from it in the course of the discussion

The desire to change the data at this point may only be an attempt to reduce a fundamental problem of data organization or data quality Remedying the causes directly at the source or in the process could be the more profitable way (eg reducing redundant data) In view of the fact that there are many more read-ers than authors the actual task of the LDL with read-only access is sufficiently fulfilled

1 1wwwconweavercom copy CONWEAVER 2017



Mrs Rosenplaumlnter as a topic patron pleaded for the idea of the ldquoWriting Linked Data Layerrdquo by presenting possible fields of application

Two aspects were presented as the most important results The issues ldquoWriting on source systemsrdquo and ldquoLinked Data Layer as a new source systemrdquo

A short excursion about reading access in the form of a ldquoreaderrdquo as well as the possibility to realize writing access with written text messages (eg to a bot) provided a refreshing wind and made some of our participants smile

31 Writing to Source SystemsThe key benefit is presumably to eliminate obvious inconsistencies directly and thus improve data qual-ity However the integration of the necessary approval processes is problematic (keyword Linked Data Governance)

32 Linked Data Layer as a New Source SystemIn addition to simplifying repetitive tasks by saving them a writing data layer provides the option of at-taching additional dependencies to the data and thus increasing the information content

321 Configuring and Savingbull Save search configurations as templatesbull LabelsTagsLikesFavoritesbull Reporting

322 Enriching and Improvingbull Customize ranking of results according to user or rolebull Provide existing connections with additional informationbull Create additional linksbull Search from the point of view of other people (bdquoWhat does my boss seeldquo)

(Validation of results by changing the context)

Numerous departments and engineers work simultaneously on the development and improvement of their products Co-operations joint ventures and supply relationships between companies create a mul-titude of data on a component an assembly or a product An increasing variety of variants exponentiates the generated mass of data This makes it all the more important to retrieve reliable information where it isneededButcanIrelyonthemWhoguaranteestheirtopicalityorcorrectnessThisWorldCafeacutethere-fore dealt with the question of the bdquosingle truthldquo

The following three theses were presented by Josef Kriegmair at the beginning of each of the four group phases as an introduction and then from the second group onwards additionally a summary of the previ-ous discussions was given

1 Single Source of Truth = Single Source of Untruth

2 There are Several Truths

SINGLE SOURCE OF TRUTH

Where does the ldquoNewrdquo Single Source of Truth emerge frombull How is data passed through processesbull How do we deal with the question of unambiguitybull How do you deal with redundancies in networking

Josef Kriegmair MTU Aero Engines AGMichael Graf CONWEAVER GmbH

What is necessary to achieve clarity

What is necessary to achieve truth

A lie told often enough becomes the truth Lenin Russian revolutionary

A lie gets halfway around the world before the truth has a change to get its pants onWinstonChurchillBritishstatesman

If there were only one truth you couldnrsquot paint a hundred canvases on the same theme Pablo Picasso Spanish painter graphic artist and sculptor

The opposite of a fact is falsehood but the opposite of one profound truth may very well be another profound truth NielsBohrDanishphysicist

13




3 Data amp Data Architecture determine the Success

What is necessary to convert data into value and to be compliant

At the beginning the following key topics were identified maturity trustworthiness of the data and how do we deal with it what do we have to do to achieve this What do I have to consider Not everything that is meaningful and possible is also allowed by the legislator In course of the discussion the new Fed-eral Data Protection Act - which is owed as an adaptation law to the basic data protection ordinance and will be valid throughout Europe from May 2018 - was mentioned in addition to this topic

Intellectual Property Security Compliance and Trustworthiness

Intellectual property security compliance and trustworthiness were also discussed intensively at the beginning How can I ensure that all employees have access to the data relevant to their tasks and at the same time ensure that only authorized persons have access to it How far do I trust my employees customers partners and suppliers How do I ensure compliance and how do I make sure that my IPs are protected as a company

What is TruthSubsequently the question ldquoWhat is truthrdquo was ex-amined in more detail It was worked out that truth can only exist in context As a simple example the temperature of 20 degrees Celsius was used In one context the temperature is good and correct (eg room temperature) in another context it is bad and wrong (eg body temperature)

In God we trust all other bring data William E Deming American physicist statisticianData architecture the bricks of

tomorrowacutes project executionPedro Travares Portuguese manager

How much effort are we willing to invest to generate truthThomas Wambera AVL Deutschland GmbH


Data Ownership

The question of data ownership has also been addressed When someone is providing data that is being processed by another person - who owns the new data Individual data in the context of offering new findings Who owns this data how should it be protected The truth is certainly not static The truth will change all the time

The data set should already contain the essential meta data itself which is often not yet the case (eg PLM systems) This must change in the future A temporary solution may be to drag containers around such data

Timeliness of DataUpdating data is another topic addressed Data also has an expiration date They may be obsolete even though they have the release status This means that data must also be cleansed Changes to data should only be made in the original system

Data Governance and Data Consistency

At the end of the discussion the topic of data governance and data consistency was discussed again An exampleofthiswasseeninunitsofmeasurementForexampleinchesandcentimetersBothunitsarecalculated back and forth in a use case but the accuracy will never be the same There will always be deviations but both are true This is especially challenging for companies that work with North American companies



Not the desire for falsehood but the ldquolazinessrdquo to search for the right data is often an obstacle to ldquousingrdquo the right dataMartin Sturm Opel Automobile GmbH

The important question in this context is Which data do I need when and in what quality to generate ldquovaluesrdquo for my businessA workshop participant Linked Data 2017

15

The discussion at the World Cafeacute table ldquoKnowledge vs Informationrdquo was based on the knowledge ladder according to North Starting from characters together with a syntax (ie combination rules for the char-acters) data is created Data plus meaning (ie semantics) create information People are interested in relevant information can contribute evaluate and act on experience and process knowledge After all from an organizational point of view core competencies are decisive for a companyrsquos competitiveness and adaptability

ChallengesIn the conversations at the table it became repeated-ly clear that knowledge is fundamentally of different nature than information and therefore knowledge cannot (yet) be stored in automated computer-aided form When an employee leaves a compa-ny the company loses his or her knowledge

Stored information on the other hand is not immune to change changing IT tools changing formats decreasing benefit of data and information over time This is particularly bad for a company when it suffers from the ldquovirusrdquo of separate data storage Data silos prevent the retrieval and linking of information Without (relevant) information no (correct) decision To be able to work at all data and information must reach the employees How do they get to the employee How does collaboration and knowledge sharing help companies become more competitive

KNOWLEDGE VS INFORMATION


Knowledge takes place in the Userlsquos Head and unlike Information cannot be stored easilybull How does meaningfulvaluable information occurbull In which ways do you prepare information so that knowledge can be derived from it

Walter Koch Schaeffler Technologies AG amp Co KGJoachim Caspar CONWEAVER GmbH

1 Figure modified and expanded (Source Fig 2 bdquoThe Knowledge Ladder according to NORTHldquo from Kaiser et al Information and knowledge management in sustainable land management Conceptual foundations for implementation-oriented research Technical Report Jan 2012)

Figure Knowledge Ladder according to North completed with discussed topics1

16

At the World Cafeacute table many interesting topics emerged around the steps of the knowledge ladder The following summary tries to reflect the highlights

1 Data Sources

In addition to external data sources with product-relat-ed reference2 three interesting types of data sources were mentioned within a company

1 Many individual authoring systems eg IT tools for requirements construction testing etc

2 Field data from product usage eg autotelemetry

3 NetworkingandcontextdataegwikisLessons-Learned-DBs3 collaboration platforms

Master data was repeatedly referred to as ldquoGolden Nuggetsrdquo ie these are particularly valuable

2 Data Structures

In order to open up different data sources in a meaningful way it is necessary to standardize the seman-tics and meaning of the stored distributed data This problem was also referred to as standardization mapping or modeling It is difficult to explain the value of such a standardization to the users especially when it is assumed that manual effort is involved which of course takes a lot of time If the data creators are then typically different from the data users it becomes seemingly difficult to argue

3 Linked Data

Semantic linking and added value for users were explained by some participants at the table (thank you very much) and also classified under the keywords simple data integration and assistance system for information retrieval Contrary to the expectations of some participants no explicit ldquoadvertising block for CONWEAVERrdquo was held at the table For better understanding some freedom is allowed at this point A Linked Data system leaves the existing source systems unchanged Integration of the different meanings of data or structure matching takes place on the level of a semantic middleware

Neither data creators nor users have to spend time and effort on standardization or data mapping


2 Social platforms have been mentioned as an interesting data source for big-data analytics in particular to answer marketing-related questions Product-specific questions could be bdquoHow is product X perceived in country Yldquo 3 The benefits of lessons-learned databases have been controversially discussed If they consist of largely unprocessed information the effort for manual processing or indexing is very high Thus either ldquodata gravesrdquo are created or they are very well maintained

17



A CONWEAVER solution is created in three steps

1 Extract Transform Load Configuration of automated executable workflows for ldquotappingrdquo data sources merging of data structures automated mapping of data contents to the defined structure model (= Linksphere Terra Graph)

2 Information Access Rules configuration of automatically executable rules for paths in the graph for traversing the identified correlations

3 GUIfrontend optimized for fast access via graph user friendly adaptation of the respective use cases of the end user

The general consensus was that user interaction with assistanceinformationsearch systems should be kept as simple as possible Desires for further features were quickly added

4 Correction Possibilities

Incorrect data in distinct authoring systems eg incorrect SAP entries or duplicates give rise to the de-sire for correction options and more communication feedback or ldquoreturn to the systemrdquo in case of incor-rect results bidirectional feedback between data user and data creator

5 Filter and Recommender

In order to avoid being ldquofloodedrdquo during the procurement of information ldquosuitablerdquo filter mechanisms eg dynamic filters are also required These are calculated based on a current set of hits and allow you to quickly select a desired category data source department etc thereby simplifying the handling of large sets of hits Recommender approaches were explained by a participant with an Amazon example ldquoCustomers who bought Film X [who were looking for information X] also looked at the following articles [other information]rdquo

6 ExternalPlatformsandBigData

In a slight variation of the well-known prov-erb it was stated ldquoHe who has knowledge is the powerful onerdquo As an example large platform operators agrave la Google amp Co were listed Their collection and use of countless personalized information was seen as an opportunity for new applications4 on the one hand and on the other hand as being viewed as very critical in terms of data protection In order not to become dependent on big data and analytics from the major platform manufacturers or their technologies medium-sized companies should be very careful and cooperate better

7 Internal Company Platforms

Similar to social networks users in a company could inform learn and help each other Push mechanisms or automated notifications might be useful The question was how employees could be motivated to share their knowledge or ldquowhat are the benefits for the individualrdquo As a network of experts a platform could also help to find the right contact person The participants took it for granted that the introduction of in-ternal (data processing) platforms within the company was in compliance with data protection regulations

8 Competitiveness and Adaptability

Every company possesses a large pool of knowledge in the minds of its employees Well-founded deci-sions are made (also) based on years of experience situational contextual process-related etc Knowl-edge that even todaylsquos AI technology cannot reach Entire bundles of core competencies that are difficult to imitate secure a companylsquos competitiveness and ability to change

9 Decision Verification

If a decision has been taken on the basis of a certain level of information or knowledge this decision should remain verifiable or revisable Not only the use of data and information can decrease over time Personal knowledge can also become obsolete basic conditions can change and information can appear in new or changed contexts


4 A vivid example was the automatic classification of pictures on an iPhone in categories such as selfies events places Large amounts of data are necessary in order to train bdquogoodldquo methods for automatic classification

19



10 Contextual KnowledgeCultural knowledge dimensions were discussed as an example of contextual knowledge Products and product data often also have a cultural dimension which can result in non-trivial changes to the prod-uct Two case studies have been cited rightleft-hand traffic (automotive construction) width of washing machines compared to the width of doors in different countries (assembly) ldquoWho manages howldquo the knowledge for such regional (product data) variants so that a designer is not overwhelmed Are design guidelines helpful or perhaps too extensive Could assistance systems help here

11 Trust Explanation LearningHow did knowledge come into existence Are the underlying information data facts (still) valid have contextboundary conditions changed Trust in the correctness of onelsquos own knowledge or the transfer of knowledge from others is among other things the result of good communication explanation and under-standing or insight

The explanation of correlations and creation of contextual information even critical scrutiny can still be best performed by man In contrast to statistical statements (correlative not causal) or softwareAI hu-man knowledge eg empirical knowledge belongs to another category Good knowledge transfer always requires a person directly vis-agrave-vis (rather than just remote learning) and especially time Discussing with people networking ideas exchanging knowledge and creating new ones at the same time also creates a (biochemically) feeling of happiness

The dedicated discussions at the various thematic tables proved CONWEAVER and the chosen dra-maturgy right Indeed the need for clarification is considerable since the potential applications of the Linked Data portfolio are immense and the merging of data into knowledge is a comprehensive subject It was a clever move by the organizer to let the participants gradually approach the topics in four steps in order to cover the entire spectrum of aspects as far as possible This is illustrated by two examples

Single Source of Truth While the first round dealt with topics such as maturity trustworthiness intellectual property ldquoSingle Source of Untruthrdquo or compliance the emphasis in the second round shifted to questions of the heavy weighted type such as ldquoWhat is truthrdquo The third group on the other hand did not stop to consider whether there could be any truth at all while the last round finally concerned itself with very practical aspects such as data governance or the elimination or avoidance of data inconsistencies

Linked Data ManagementThe journey through this theme landscape was initiated with the surprising question Should I use a search engine for writing Later the no less unusual question was added Why only reading and writing why doesnlsquot the search engine talk to me Like to remind me of the context of the last search And Who repairs detected data errors

Many questions arose good questions which do not necessarily require an answer but should be recalled at the right time


CONCLUSIONDr Bernhard D Valnion d1g1tal AGENDA

21

Intelligence lies in the Linking of Data in the Empathy of Sustainable Success



Mental or DigitalThemessageofBodoLorenzenrsquosgraduationkeynotespeechconcludedthatthetimespentreflectingonthe fundamentals is a worthwhile investment Lorenzen made a plea for empathy which is so peculiar to us humans but which as digitalization progresses runs the risk of being left behind The billions of selfies that flow through all sorts of social media channels prove that we care more and more about ourselves and not so much about others This can be dangerous accord-ing to Lorenzen if in sparring with an increasingly so-phisticated cyber intelligence those who are in danger of losing their connection fall into oblivion You canrsquot read thoughts but you can feel them Lorenzen said adding thoughtfully ldquoDigitalization changes everything and we havenrsquot noticed much of it yetrdquo

In order for the Fourth Industrial Revolution to be-come a departure into a better epoch - like the three before it by the way - it is important to search for treasure in onelsquos own databases CONWEAVER offers outstanding technologies for this purpose And we must not forget the human being An aspect of course well known to all the workshop participants

wwwconweavercom

REDEFINING THE FUUTURE OF PLM


Copyright lawsContents composition structure and presentation of this document are protected by copyright by CONWEAVER GmbH or their respective ownersowners The reproduction and distribution of information and data (text images graphics and animation files) is prohibited without the prior written consent of the respective copyright holder This also applies to the reproduction and distribution in extracts All rights reserved



Linked Data Future PLM

The Journey continuesWe are constantly discussing the topics Linked Data and Digital Thread in our forums on XING and LinkedIn Join the expert community now

Digital Thread and Traceability

ConWeaverGmbH

CLOSING WORDS OF THE MODERATOR Sebastian Doumlrr CONWEAVER GmbH

Again our expectations were exceeded It is not always easy to maintain the balance between ldquosmall but nicerdquo instead of ldquobigger faster higher widerrdquo This claim has once again provided us with a broad curious and interested spectrum of participants We would like to thank each participant personally for their time and commitment The feedback has encouraged us in our approach which we now need to expand In this way we want to further deepen the thematic clusters without losing sight of the big picture This con-tinues to be a high standard for you and us who want to accompany everyone on the increasingly dynam-ic journey through digital transformation

ThereisnottheonegoalandnottheonewayButthechosenpathtoachievethesetgoalsflexiblyandsustainably requires not only courage and the will to change of an organization but also tools that help to use old sluggish and inflexible methods and systems more intelligently or to throw them overboard if necessary

We would like to express our special thanks to the sponsors who according to my observation have suc-ceeded in transferring the spirit of open ideas and questions that are critical for the future to the entire workshop

To be continued promised

Yours sincerelySebastian Doumlrr

CONWEAVER GmbHFriedensplatz 12 64283 Darmstadt Germany

Email marketingconweavercomTel +49 6151 599 92 - 222Fax +49 6151 599 92 - 333

marketingconweavercom

More than 40 proven experts from the methodological and process environment examine the potential of networking data sources at an exclusive CONWEAVER event

The phrase ldquodata is the new oilrdquo often mentioned in the same breath as the digital transformation allows our increased interest to move away from what we have already achieved as a goal to those traces that we leave behind Not only the product as such but also the condensed ldquoknowledgerdquo associated with it in the form of structured and unstructured data is of considerable value according to the new reading in the Holocene of digitization which is so significant that during the past Global Product Data Interopera-bility Summit in Phoenix Arizona the request ldquoConnecting the Digital Thread The Right Data to the Right Place at the Right Timerdquo was addressed The coming digitization requires us to consistently raise all (data) treasures no matter how deep they are buried in any source systems and may still have to be refined

So if you like CONWEAVER has hit the mark with its Linked Data portfolio and at the same time under-stood how to give the user the necessary freedom to explore the added value of the technologies offered - certainly very sophisticated - for him or herself And so the format of this yearrsquos workshop ldquoLinked Data 2017rdquo was in the tradition of last yearrsquos workshop and an event from the year 2013 The participantsrsquo own initiative was in the foreground not the frontal presentation of a brilliant speaker

ON THE THRESHOLD TO A NEW UNDERSTANDINGDr Bernhard D Valnion d1g1tal AGENDA













2



The Workshop Idea





3


THE WORKSHOP









4














5






Round 2








6



























Keywords


has priority 1
























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH




















2



The Workshop Idea





3


THE WORKSHOP









4














5






Round 2








6



























Keywords


has priority 1
























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH












The Workshop Idea





3


THE WORKSHOP









4














5






Round 2








6



























Keywords


has priority 1
























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH














4














5






Round 2








6



























Keywords


has priority 1
























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH























5






Round 2








6



























Keywords


has priority 1
























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH











Round 2








6



























Keywords


has priority 1
























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH




































Keywords


has priority 1
























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH





























3 Summary



























13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH































13














Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH




















Data Ownership










15










16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH



















16


1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH











1 Data Sources






2 Data Structures


3 Linked Data





17






















19












21






wwwconweavercom









ConWeaverGmbH





























19












21






wwwconweavercom









ConWeaverGmbH



















21






wwwconweavercom









ConWeaverGmbH












wwwconweavercom









ConWeaverGmbH










digital transformation - linked data€¦ · so, if you like, conweaver has hit the mark with its...

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