semantic web services landscape

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Semantic Web Services Landscape Ontolog Tutorial Nov. 6, 2003 Revised Dec. 7, 2003 Bob Smith, Ph.D. Professor Emeritus, CSU Tall Tree Labs-Semtation USA Christian Fillies Semtation, Inc.

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Semantic Web Services Landscape. Ontolog Tutorial Nov. 6, 2003 Revised Dec. 7, 2003 Bob Smith, Ph.D. Professor Emeritus, CSU Tall Tree Labs-Semtation USA Christian Fillies Semtation, Inc. Objectives. Landscape = a geographic “Orientation” at some level of granularity - PowerPoint PPT Presentation

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Page 1: Semantic Web Services Landscape

Semantic Web Services Landscape

Ontolog Tutorial Nov. 6, 2003 Revised Dec. 7, 2003

Bob Smith, Ph.D. Professor Emeritus, CSU

Tall Tree Labs-Semtation USA

Christian Fillies Semtation, Inc.

Page 2: Semantic Web Services Landscape

Objectives

Landscape = a geographic “Orientation” at some level of granularityUseful for developing roadmaps between

where you are now and where you wish to go Assure explicit goal criteria and metrics of time-

distance-cost-value added Avoid disasters by building on past experiences Avoid tarpits, swamps, cliffs, etc. by inspection and

introspection+--

Page 3: Semantic Web Services Landscape

Outline (draft version 0.8)

Part 1 Objective: Integrated Project Plan

Part 2 NIST and Funding of Ontolog “Plan” Part 3 Pronto and Cladistics (Understand Patterns

of evolving web standards ~SBIR)

Part 4 SemTalk’s essential roles; BPMN

Part 5 Next Steps towards Ontolog Landscape and SBIR proposal-award cycles

Page 4: Semantic Web Services Landscape

Current Work to synthesize

Funding Sources for Ontolog WGSBIR proposals as opportunity to add valuePronto as potential project Code Name

Pragmatic Ontologies? Production Rules and Business Rules? Processes for UBL Solutions?

What strategy to use to identify feasible and productive questions for our SPIR proposal?

Page 5: Semantic Web Services Landscape

Landscape 1: Experts in context M. Daconta et. al. 2003: The Semantic Web: a Guide to the Future of XML, Web

Services, and Knowledge Management H. Smith & P. Fingar, 2002 BPM3 (www.BPMI.org) P. Harmon, Business Process Change, 2003, Morgan Kaufmann (www.bptrends.com ) D. Jenz 2003; BPMO Tutorial (www.JenzundPartner.de) C. Fillies 2003; Ontology Tools (www.SemTalk.com) D. McComb 2003; Semantics in Business Systems: The Discipline Underlying Web

Services, Business Rules, and the Semantic Web (www.semantics.bz) A. Tiwana 2002, the Knowledge Management Toolkit: Orchestrating IT, Strategy, and

Knowledge Platforms M. Denny, 2002, Ontology Building: a Survey of Editing Tools ( The Survey

www.xml.com/pub/a/2002/11/06/ontolgies.html) (Survey 2002 Results) http://www.xml.com/2002/11/06/Ontology_Editor_Survey.html

O. Corcho & A. Gomez-Perez 2000, A Roadmap to Ontology Specification Languages (

http://delicias.dia.fi.upm.es/articulos/ocorcho/ekaw2000-corcho.pdf). J. Heflin, 2003 OWL Use Cases & Requirements W.M.P. van der Aalst et. Al. 2003, Business Process Management: A Survey

http://tmitwww.tm.tue.nl/staff/wvdaalst/Publications/p174.pdf

Page 6: Semantic Web Services Landscape

Where would you scan for new ideas?

Published “experts” in related domainsCurrent issues; problems with existing

standards and tools Major vendors (Geoff Moore’s Gorillas)

Technology Trends anticipated 2-5 years out SBIR Requirements and their recent

awards

Page 7: Semantic Web Services Landscape

Knowledge “Perpetuation” Projects

MS: Whidbey and Longhorn: topology of your IT Stack to 2006 BizTalk 2004 Beta (Third time a charm?) Win95-Longhorn VB 6 -- Whidbey

TRL Processes (Tech Readiness Levels DoD) UML 2.0, OMG, SOA, MDA workouts

Other gorillas in the “big picture” IBM, Oracle, Cisco, Wal-Mart, Anthem, BofA

Page 8: Semantic Web Services Landscape

Placement of UBL and Ontolog?

Focus remains on content and context of the SBIR proposal What is the critical technology topic at NIST? How do we organize to phrase our most relevant

“Query”? Who best understands the content and context for this

“Query”? Which resources do we need to marshal for this

project?

Page 9: Semantic Web Services Landscape

W3C Stack 1

Page 10: Semantic Web Services Landscape

Ontology Spectrum (Stack 2)

Page 11: Semantic Web Services Landscape

Time Lanes and TRL

TRL and Time Lanes picture goes here

Page 12: Semantic Web Services Landscape

TRL 2

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TRL 3

Page 14: Semantic Web Services Landscape

Business Process Markup Notation

Page 15: Semantic Web Services Landscape
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Page 17: Semantic Web Services Landscape

Transition to Part 3: SemTalk

Landscaping SWS for Ontolog FundingObviously need better tools than Visio…Process includes environmental scan of

selected domain experts for issues; major players for explicit “future plans”; and Govt planning and auditing tools

Michael Denny’s Survey of Ontology Tools SemTalk EON2003 (October, 2003)

Semantic Web Export / Import Interface Test

Page 18: Semantic Web Services Landscape

SemTalk

MS-Visio based generic graphical modeling tool Main Application Areas (all of them using ontologies)

Business Process Modeling Product Configuration Ontology Modeling

Open Meta Model to define other graphical Methods Generates

HTML MS Word MS PowerPoint MS Project

Page 19: Semantic Web Services Landscape

Simple SemTalk Ontology

Page 20: Semantic Web Services Landscape

SemTalk Engine

In memory engine that ensures consistency within one Visio drawing

Expressiveness somewhere in the middle between RDFS and OWL multiple inheritance instances object- and data type properties

UML-style object notation Sufficient to cover most ontology / taxonomy

modeling issues related to BPM.

Page 21: Semantic Web Services Landscape

OWL Stencil

Page 22: Semantic Web Services Landscape

Interfaces to Inference Engines

F-Logic based interface to Ontobroker / OntoEdit of Ontoprise GmbH (we also have used DAML)

Cerebra Construct is 100% compatible with SemTalk. OWL & Visio drawing Construct is integrated with the Cerebra Engine of

Network Inference Ltd.

Page 23: Semantic Web Services Landscape

Experiments with 8 EON2002 modelsLoom We did not try to convert the Lisp files

OilEd After fixing some issues on the SemTalk DAML import, a subset of the model could be imported. The OildEd model differs significantly from the other models because it makes frequent use of those DAML features which are not support by SemTalk for DAML: intersectionOf, unionOf etc.

On the other hand this model is quite close to OWL. We tried to rename some XML elements to OWL, but finally failed to import it mainly because of the combination of “cons”-ed Lists and operators.

OntoEdit Since SemTalk has only an F-Logik export and not an F-Logik import function, the flo file could not be imported.

Using DAML import classes, instances and properties could be imported. Cardinalities are ignored.

OpenKnoME We did not try to convert the Smalltalk files

Protégé Using RDFS import. Ignored by SemTalk RDFS Import even if the SemTalk engine could represent them: OverridingProperty Cardinalities Allowed Values / Defaultvalues All Data types Inverse properties are mapped as properties

Terminae We did not try to convert the text / Oil files

WebODE Failed to import classes as rdf:description with rdf:type Class

KAON Successful import after manually removing the XML-namespace “a:”

Page 24: Semantic Web Services Landscape

OilEd (DAML)

Page 25: Semantic Web Services Landscape

OntoEdit (DAML)

Page 26: Semantic Web Services Landscape

Protégé (RDFS)

Page 27: Semantic Web Services Landscape

KAON (DAML)

Page 28: Semantic Web Services Landscape

OilEd (new with OWL.vst)

Page 29: Semantic Web Services Landscape

Summary SemTalk failed to import DAML models with complex

expressions This issue has already been fixed for OWL SemTalk succeeded in importing taxonomies from all

tools, which support DAML or RDFS ==== From a business point of view the lack of importing

models having axioms and rich logical expressions is not very relevant since those expressions are not included in the other SemTalk methodologies such as Business Process Modelling.

Being able to import taxonomies with subclassing and properties is the main point for our current customers.

Page 30: Semantic Web Services Landscape

Pronto A landscape describes the dominant features of an

interesting space dominant forces may be visualized to understand feasible

technical, economic, organizational, and political constraints, "push" and "pull" forces or vectors suggest reasonable pathways or roadmaps

MS MapPoint 2004 provides a useful analogy to planning a roadmap in physical world.

computer simulation applications (COCOMO II, Construx's Estimate, etc.) = Project Resources

games (Teknowledge's recent Phase 2 SBIR award) provide analogies to Ontology and SWS roadmaps

Page 31: Semantic Web Services Landscape

Locating the SBIR Opportunities

Gap analysis goes here Elaboration of project issues goes here