1 class exercise ii: use case implementation deborah mcguinness and peter fox csci-6962-01 week 8,...
TRANSCRIPT
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Class exercise II: Use Case Implementation
Deborah McGuinness and Peter Fox
CSCI-6962-01
Week 8, November 2, 2009
Contents• Review of use case presentations, questions,
comments
• Implementing a use case – this is where it can get tough and complicated for semantics
• Summary
• Next week
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Semantic Web Methodology and Technology Development Process
• Establish and improve a well-defined methodology vision for Semantic Technology based application development
• Leverage controlled vocabularies, et c.
Use Case
Small Team, mixed skills
Analysis
Adopt Technology Approach
Leverage Technology Infrastructur
e
Rapid PrototypeOpen World:
Evolve, Iterate, Redesign, Redeploy
Use Tools
Science/Expert Review & Iteration
Develop model/
ontology
EvaluationEvaluation
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Implementation Basics• Review your documented use case with team and
experts• Go into detail of your ontology; test it using the tools
you have• We will look at the use case document and examine
the actors, process flow, artifacts, etc.• You will start to develop a design and an architecture
(more on architecture and middleware next week)• Keep in mind that it is more flexible to place the
formal semantics between/ in your interfaces, i.e. between layers and components in your architecture, i.e. between ‘users’ and ‘information’ to mediate the exchange
Actors• The initial analysis will often have many
human actors
• Begin to see where these can be replaced with machine actors – may require additional semantics, i.e. knowledge encoding
• If you are doing this in a team, take steps to ensure that actors know their role and what inputs, outputs and preconditions are expected of them
• Often, you may be able to ‘run’ the use case (really the model) before you build anything
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Process flow• Each element in the process flow usually
denotes a distinct stage in what will need to be implemented
• Often, actors mediate the process flow
• Consider the activity diagram (and often a state diagram) as a means to turn the written process flow into a visual one that your experts can review
• Make sure the artifacts and services have an entry in the resources section
• Often the time you may do some searching6
Preconditions• Often the preconditions are very syntactic
and may not be ready to fit with your semantically-rich implementation
• Some level of modeling of these preconditions may be required (often this will not be in your first pass knowledge encoding which focuses on the main process flow, goal, description, etc.)
• Beware of using other entities data and services: policies, access rights, registration, and ‘cost’ 7
Artifacts• Add artifacts that the use case generates to the
resources list in the table• It is often useful to record which artifacts are
critical and which are of secondary importance• Be thinking of provenance and the way these
were produced, i.e. what semantics went into them and produce suitable metadata or annotations
• Engage the actors to determine the names of these artifacts and who should have responsibility for them (usually you want the actors to have responsibility for evolution)
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Reviewing the resources• Apart from the artifacts and actor resources,
you may find gaps
• Your knowledge encoding is also a resource, make it a first class citizen, i.e. give it a namespace and a URI
• Sometimes, a test-bed with local data is very useful as you start the implementation process, i.e. pull the data, maybe even implement their service (database, etc.)
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Back to the knowledge encoding• Declarative: in CL, OWL (probably OWL-DL),
RDF, SKOS?
• Need rules?
• Need query?
• Science expert review and iteration
• Means you need something that they can review, with precise names, properties, relations, etc.
• The knowledge engineering stage is much like a software engineering process
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Knowledge engineering• Classes 2, 3, 5 and 6
• Mostly choose OWL-DL (and OWL 2)
• We may need to go to OWL 2 for numerical comparisons and if so, separate your owl 1 from OWL 2 representations
• The interplay between tools like Protégé and CMAP will be very important in implementing a knowledge base that has ‘just enough’
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Implementation Basics• Review documented use case now• Go into detail of the ontology• Now we will look at the use case document and
examine the actors, process flow, artifacts, etc.• Start thinking of a design and an architecture• Semantics between/ in your interfaces
Roles and skill-sets
• Facilitator – changes slightly for implementation - sometime the facilitator becomes chief architect, sometimes steps back
• Domain experts are needed for expert review (domain literate, know resources; data, applications, tools, etc)
• You are the modeler (to extract objects, triples)• You are likely to play the role of a software engineer
(architecture, technology) but you can also ask someone for help with this
• Document, document, document• It is social – a team effort
Use case roles and skill-sets
• Time for a self assessment• We will scope for the purpose of learning how
to …
Implementing• Let’s take a few examples
– VSTO– BCO-DMO
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Summary• By now, the reality of going into complete
detail for the knowledge representation should be apparent
• Keeping it simple is also very important as you begin to implement
• Being prepared to iterate is really essential
• Now is the time to validate your ontology with domain experts and your team, use the tools
• The next stage is to choose your technology components and build and test 16
Environmental Cleanup• To determine the hazardous waste sites in New
York State that contained VOC contamination at or above their federal guidance value in groundwater and were remediated via Soil Vapor Extraction.
• The goal of this use case is to provide technical staff and stakeholders with the ability to access data for hazardous waste remediation sites across New York State. It allows project managers to find and analyze sites similar to their own in order to make better decisions. It also improves the ability to collaborate both internally and externally.
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Domain expert• Chris + ?
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Deep Sea Research Preparation• An oceanographer is preparing for a cruise
that will be making use of one of the National Deep Submergence Facility vehicle (operated by the Woods Hole Oceanographic Institution). They will be diving in the Galapagos hot vent area and want to:– see an organized list of links to related publications,
Oceanus articles, data library holdings, video snapshot sequences, and any other datasets available in the various repositories.
– get a list of researchers who have published journal articles about this particular area. 19
DSRP Resources• Bibliography of all journal articles that mention one
of the deep submergence vehicles by name• Text of some of the articles that the biblioography
points to• A CSV file containing a list of Oceanus magazine
articles and keywords associated with these articles• An inventory of video and still imagery held by the
data library• The Alvin Vehicle Framegrabber website (with video
snapshots available)• The Jason Virtual Control Van website (with video
snapshots available)20
More resources• NDSF bibliography link --
http://dlaweb.whoi.edu/DIG_RES/NDSF_bib.html
• Holdings spreadsheet
• Jason control van website -- http://4dgeo.whoi.edu/jason/alvin
• Framegrabber -- http://4dgeo.whoi.edu/alvin
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Domain experts• Andy Maffei, Lisa Raymond (WHOI)
• Andy is visiting this week – take advantage
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Assignment 3• Team use case implementation
– On the wiki– Write up and presentation– Due November 23
• Team 1: Environmental Cleanup– Chris, Xiang, Jim, Shankar
• Team 2: Deep Sea Research Preparation– Eric, Yongmei, Selcuk, Tim
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Next week• This weeks reading assignment:
– reading: IAAI VSTO, Semantic eScience Web Services and C&G paper
• Next class (week 9 – November 9): – Foundations V: Infrastructure and Architecture,
Middleware
• Questions?
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