Telework Ontology – needs and solutions

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Telework Ontology needs and solutions. Zigmas Bigelis Project TELEBALT consultant, zigmasb@is.lt ECMConsulting, zigmas.bigelis@ecmconsulting.com Saulius Maskelinas Institute of Mathematics and Informatics, -------------. Content. 1. Telework terms 2. Ontology definition - PowerPoint PPT Presentation

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Telework Ontology needs and solutionsZigmas Bigelis Project TELEBALT consultant, zigmasb@is.lt ECMConsulting, zigmas.bigelis@ecmconsulting.com Saulius MaskelinasInstitute of Mathematics and Informatics, ------------- TELEBALT conference "Teleworking Business, Education, Research and e-Commerce , Vilnius, Lithuania, October 21-22, 2002Content1. Telework terms2. Ontology definition3. Semantic Web 4. Web Ontology Language 5. Taxonomy and ontology software6. Knowledge Management7. Telework ontology needs8. Domain Knowledge Centre, as part of IDC9. Information Demonstration Centre (IDC)10. Ontology-based Web Applications for IDC Proposals for PartnershipTELEBALT conference, Vilnius, Lithuania, October 21-22, 20021. Telework termsTeleworkTelecommutingFlexible workeWorkRemote workAgile workTeleworkerMobile workerHome-based workerVirtual teamVirtual officeHotelingTelecottageTelecentreCompressed work scheduleFlexible work programWork-life balanceand much moreTELEBALT conference, Vilnius, Lithuania, October 21-22, 20027. Telework ontology needsOntology of telework domain itselfOntology of teleworker domainMain telework problems and barriersManagement Communication Both management and communication need for better understanding both each other and information to be collected, processed and sharedLess time for search and retrieval of the relevant information2 modes: one knows what knows and dont knowsTELEBALT conference, Vilnius, Lithuania, October 21-22, 20022. What is an Ontologywww.cs.ma.ac.uk/~stevensr/onto/node3.html Ontology is the specification of conceptualization , GruberThe conceptualization is the couching of knowledge about the world in terms of entities (things, the relationships they hold and the constraints between them)The specification is the representation of this conceptualization in a concrete form. The main components of an ontology are concepts, relations, instances and axiomsTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Ontology-bases applicationsMain areasKnowledge management systemsE-commerceIntelligent search systemsTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002http://sem.ucalgary.ca/KSI/KAW/KAW99/papers/Uschold2/final-ont-apn-fmk.pdf Neutral authoringOntology as specificationCommon access to informationOntology-based search Ontology-bases applications Main typesTELEBALT conference, Vilnius, Lithuania, October 21-22, 20023. Semantic Webhttp://www.w3.org/2001/sw/Activity Semantic comes from the Greek words for sign, signify, and significant, and today means of or relating to meaning, often in language. The Semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. It is the idea of having data on the Web defined and linked in a way that it can be used for more effective discovery, automation, integration, and reuse across various applications. TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Semantic Web (cntd 1) http://www.w3.org/2001/sw/Activity For the Web to reach its full potential, it must evolve into a Semantic Web, providing a universally accessible platform that allows data to be shared and processed by automated tools as well as by people. The Semantic Web is an initiative of the World Wide Web Consortium (W3C), with the goal of extending the current Web to facilitate Web automation, universally accessible content, and the 'Web of Trust'.TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Semantic Web (cntd 2) http://www.w3.org/2001/sw/ActivityTim Berners-Lee wrote the Road map for the Semantic Web in 1998, and it continues to be a good place to start for those who enjoy theory The Semantic Web lends itself to collaboration, teamwork, and cooperation. In addition to the RDF Interest Group which serves as W3C's primary focal point for Semantic Web community discussion, there are a variety of domain specific communities who are using RDF/XML to publish their data on the Web. TELEBALT conference, Vilnius, Lithuania, October 21-22, 20024. Web Ontology (WebONT) Working Group Charterwww.w3.org/2001/sw/WebOnt/charter The WG, part of the Semantic Web Activity, will focus on the development of a language to extend the semantic reach of current XML and RDF meta-data efforts.Tim Berners-Lee outlined the necessary layers for developing of applications that depend on an understanding of logical content, not just human-readable presentation This WG will focus on building the ontological layer and the formal underpinnings thereof.TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Web Ontology Working Grouphttp://www.w3.org/TR/owl-features/ The OWL (Web Ontology Language) is being designed by the W3C Web Ontology Working Group in order to provide a language that can be used for applications that need to understand the content of information instead of just understanding the human-readable presentation of content. OWL facilitates greater machine readability of web content than XML, RDF, and RDF-S support by providing a additional vocabulary for term descriptions.TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002OWL ontology definitionOntology a machine readable set of definitions that create a taxonomy of classes and subclasses, and relationships between themTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002OWL (cntd)Web Ontology language OWL is a semantic markup language for publishing and sharing ontologies on the World Wide Web.OWL is derived from the DAML+OIL Web Ontology Language and builds upon the Resource Description Framework [RDF/XML Syntax]OWL Recommendations to be approved on 2002.TELEBALT conference, Vilnius, Lithuania, October 21-22, 20025. Ontology and taxonomyA taxonomy is a hierarchical system of classification representing structural differences http://www.epsltd.com/Database/Reports/Taxonomy/TaxonomyExec.htm Hierarchical taxonomy expressing IS A (hypernymy hyponymy) relation .By definition, a taxonomy is simply a classification scheme, whereas an ontology serves to provide semantics and associations/relationships. http://www.brint.com/wwwboard/messages/128417.html TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Need for Taxonomy More than 80% of unstructured information on the Web Cataloguing unstructured information is a chronic problemTaxonomy software correlates and groups unstructured information from myriad of sourcesSearch when you know what are you looking forSearch when you dont knowwww.entopia.com/pdfs/delphi_taxonomy_white_paper.pdf TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Survey on categorization and taxonomy managementSurvey, February 2002, Delphi Group450 organizations, half of them revenue over %100 millionMore than 60% - finding information was difficult processOver 50% - spending 2 or more hours each day searching for informationSearch time is one of the fundamental symptoms of infoglut and how to measure taxonomy managementProcess of search is waste of timewww.entopia.com/pdfs/delphi_taxonomy_white_paper.pdf TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Ontology and taxonomy softwareEntopya http://www.entopia.com Applied Semantics http://www.aplliedsemantics.com Semio http://www.semio.com Stanford University project Protg-2000EU projectsOn-to-knowledge http://www.ontoknowledge.com OntoWeb http://www.ontoweb.com and moreTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002EC project OntoWebhttp://www.ontoweb.org/download/deliverables Ontologies provide a common vocabulary of an area and define-with different levels of formality the meaning of the term and the relations between themKnowledge in ontology is mainly formalized using 5 kinds of components:ClassesRelationsFunctionsAxiomsInstancesClasses in the ontology are usually organized in taxonomiesTELEBALT conference, Vilnius, Lithuania, October 21-22, 20026. Knowledge Management stageswww.kmworld.com/publications v11, issue 3Stage 1 by the internet out of intellectual capital. KEY PHRASES : best practices and later lessons learnedStage 2 human and cultural dimensions, the human relations stage. KEY PHRASE: communities of practice Stage 3 content and retrievability.KEY PHRASES : CONTENT MANAGEMENT and TAXONOMIESDr. Michael Koenig of Long Island UniversityTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Creating Knowledge from Datahttp://www.darwinmag.com/reada/whitepepaers/070101_data.html Transforming data and info into knowledge is not a passive activity such as going to a library and doing some research.KM is fundamentally active people need to have access to the right info at the right time.KM needs to be proactive, tightly integrated with business processes and integrally related to day-to-day operational activities.TELEBALT conference, Vilnius, Lithuania, October 21-22, 20027. Telework ontology needsOntology of telework domain itselfOntology of teleworker domainMain telework problems and barriersManagement Communication Both management and communication need for better understanding both each other and information to be collected, processed and sharedLess time for search and retrieval of the relevant information2 modes: one knows what knows and dont knowsTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Telework ontology needs (cntd)New Telework Consortium www.telcoa.org has been created Killer application that will drive the growth of ultra-high-bandwidth services to the home wont be entertainment as is generally assumed, but telework, or more specifically what Schaer call interpersonal communicationshttp://www.nwfusion.com.cgi-bin/mailto/x.cgi TELEBALT conference, Vilnius, Lithuania, October 21-22, 20028. IDCs Domain Knowledge CentreGoal and main featureOur goal has been not developing only ontology but ontology-based Web application and approach (background of methodology) for ontology buildingMain feature from information collected and enriched by individual during each day work to collaborative development of shared knowledgeDomain Ontology is a core module of knowledgeTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Domain Knowledge The domain knowledge describes the main static information and knowledge objects in an application domain.The main kind of components used to describe domain knowledge is ontologies.http://babage.dia.fi.upm.es/ontoweb/wp1/OntoRoadMap/index.html TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Domain Knowledge CentreUssage purposescollecting informationdistributed semi-automatic transforming information to knowledge and shared using of this knowledge and collected informationintelligent search of collected information and knowledgeserving as an information and knowledge background for ontology-based applications developmentTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Domain Knowledge CentreStructureThe core modules: I. Information sources DB, i.e. Domain Knowledge Centre enriched by metadata and metatags (concepts, attributes and values) II. Domain ontology moduleTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002I. Information sources DB FeaturesEnriched info metatags are one of knowledge types in DKCKnowledge should be created as each day procedureOn the next version adding of knowledge should be carried on in shared collaboration modeTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Information sources DB Enter & Edit FormTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Information sources DB Information representation structure 1st optionConceptProperty (attribute)ValueValue note 3rd optionClassConceptIndividual (instance) 2nd optionConceptProperty (attribute)ValueValue note 4th optionInstance namePropertyValueTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002 5th optionClassTerm-Definition of term 6th optionTermRelationship TYPEOther termCommentInformation sources DB Information representation structure (cntd)TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Domain Concept Attribute ValueTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002An example of reportTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002II. Domain ontology moduleOntology core module is in process of developmentNetwork model to be used instead of typically used hierarchical modelOntology module prototype is developed on relational DB (Microsoft Access)TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Domain ontology moduleOntology development proceduresEnriched manually structured information (concepts, attributes, values) serves as a background for developing and continuous enhancement of domain ontologyTelework ontology contains more than 100 terms (concepts and attributes)TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Domain ontology module Information representation structureClassType of relationConceptType of relationProperty (attribute)ValueValue constraints description TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Enter & Edit Form of Ontology moduleTELEBALT conference, Vilnius, Lithuania, October 21-22, 20029. Information Demonstration Centreof TELEBALT ProjectDomain Knowledge Centre of Project Activities (telework, teamwork, collaboration) E-library on EC projects, products related to TELEBALT project using intelligent ontology-based search E-library on 6th Framework Program main issuesIntelligent Search system of TELEBALT websites system (LT, LV, EE)Other Ontology-based Web applications of TELEBALT project (to be discussed)TELEBALT conference, Vilnius, Lithuania, October 21-22, 200210. Ontology-based Web apps for IDCProposals for PartnershipDocuments (e.g. legal acts) storehouse with ontology-based searchInformation collecting and semi-automatic generating of surveys and reportsWebsite structure ontology support of website enhancement and searchManagement of project groupTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Ontology-based Web applicationsProposals for Partnership (cntd 1)Personal and company e-Library Partnership supporting intelligent systemContracts and project proposals support systemIntelligent interactive consulting systemProduct and services catalogue development system TELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Ontology-based Web applicationsProposals for Partnership (cntd 2)Information transforming to Knowledge systemInformation and Knowledge Quality Checking systemIntegration of Business Intelligence products and Domain ontology Ontology-based CRM applicationDocument annotation self-automated generationTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Ontology-based Web applicationsProposals for Partnership (cntd 3)Research and Development information analysis systemSituation evaluation, problem identification, alternative generation and decision making systemTraining information systems building toolTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002Thanks for attention !?Zigmas Bigelis, UAB ECMC zigmas.bigelis@ecmconsulting.com Saulius Maskelinas,Institute of Mathematics and Informatics, VilniusTELEBALT conference, Vilnius, Lithuania, October 21-22, 2002

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