1 / 40

Development of Front End tools for Semantic Grid Services

Development of Front End tools for Semantic Grid Services. Dr.S.Thamarai Selvi, Professor & Head, Dept of Information Technology, Madras Institute of Technology, Anna University, Chennai. Objective. To develop a Front End Tools for Semantic Grid Services that enables

airlia
Télécharger la présentation

Development of Front End tools for Semantic Grid Services

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Development of Front End tools for Semantic Grid Services Dr.S.Thamarai Selvi, Professor & Head, Dept of Information Technology, Madras Institute of Technology, Anna University, Chennai.

  2. Objective To develop a Front End Tools for Semantic Grid Services that enables • the Service Requester to search a particular Grid Service Semantically. • the Service Provider to describe a Grid Service Semantically.

  3. Activities • Study of current version of Globus Toolkit and study of Semantic Grid Services • Understand the grid architecture and study of globus toolkit. • Study of languages needed to implement semantic grid services. • A prototype model for semantic grid services • Extending the UDDI registry to include semantic advertisements using TModels. • Design and Development of algorithms for intelligent discovery of grid services. • Design and Development of Grid Resource Portal • Functional testing and optimization of implementation

  4. Road Map • Understanding various Components of Globus Toolkit 4.0 • Understanding Semantic Web Services. • Understanding the technology used to develop Semantic Web Services. • Understanding Semantic Grid Services. • Developing a typical prototype for Semantic Grid Services.

  5. The Semantic Grid is an extension of the current Grid in which information is given a well-defined meaning, better enabling computers and people to work in cooperation Semantic Grid

  6. Layered Architecture of Semantic Grid

  7. Data/Computation Layer This layer deals with the way computational resources are allocated, scheduled and executed. • Information Layer * This layer deals with the way that information is represented, stored, accessed, shared and maintained. * Information equipped with meaning • Knowledge Layer This layer deals with the way knowledge is acquired, used, retrieved, published and maintained to achieve particular goals and objectives

  8. Research Issue • We need tools and infrastructure to automate the creation of ontology of knowledge present in the Grid environment. • Matchmaking of semantic web services can be done in OWL-S but it pose problems when comes to Grid. • Methods are required to build large-scale ontologies and tools deployed to provide a range of ontology services. • Knowledge capture tools are needed that can be added as plugins to a wide variety of applications and which draw down on ontology services.

  9. Development of Front End Tools for Semantic Grid Services To enable Semantic Search of Services To enable Semantic Description of Services

  10. General Architecture Implementing for Semantic Grid Services Semantic Component

  11. Semantic Component • Ontology You need an Editor to Create Ontology • Inference Engine To retrieve Knowledge from Ontology

  12. Ontology • Ontologies are used to capture knowledge about some domain of interest. • Ontology describes the concepts in the domain and also the relationships that hold between those concepts • Complex concepts can therefore be built up in definitions out of simpler concepts. • Ontology Web Language (OWL) is widely used to create Ontology Ex : Protégé, an OWL editor

  13. Algernon, an Inference Engine • Direct interaction with Protégé knowledge bases. • AlgernonKB interface is adaptable to other data sources. • Algernon commands not only retrieve and store slot values, but can also modify the ontology. • KB values can be passed to external functions written in Java or LISP, or can execute UNIX shell commands.

  14. Limitation of OWL Though OWL has a well-defined semantics, but it is notsufficiently expressive to characterize and describe services So, OWL-S, OWL for Service

  15. OWL-S OWL-S is an OWL-based grid service ontology, which supplies a core set of markup language constructs for describing the properties and capabilities of grid services in unambiguous, computer interpretable form

  16. Automation Enabled by OWL-S • Service discovery • Find me a shipping service that transports goods to Dubai. • Service invocation • Buy me 500 lbs. powdered milk from www.aavin.com • Service selection & composition • Arrange food for 500 people for 2 weeks in Dubai. • Service execution monitoring • Has the powdered milk been ordered and paid for yet?

  17. Limitations of OWLS • Though OWLS has WSDL2OWLS, but it cannot convert Grid WSDL to OWLS. • It cannot recognize WSRF specific WSDL elements. Hence we need to compromise while using the tool WSDL2OWLS

  18. Challenges in OWLS Difficulties Currently there is no tool available to create Grid Service Ontology automatically from its WSDL file Solution We need to create Service Ontology using Protégé Editor

  19. Grid Portal Semantic Component JAVA Interface Portal Knowledge Base Reasoner Portlet Portlet Grid Middleware Node1 Node 2 Node 3 Grid Environment Proposed Architecture Uses Algernon API to interact with Ontology We use Algernon Reasoner Protégé editor to create Ontology User Interface The Grid Environment is built using Globus Toolkit. Each and Every Grid Node presents a Grid Service

  20. Program Model of the Architecture This component contains required implementation for discovering the service Grid Service Provider registers in MDS Semantic Component Grid Service Provider Describe Semantically using WSDL2OWLS Converts the user query and sends to semantic component processing the request Results Delivered Service Requester Gridsphere Portal Globus Container Submits Query Service Invocation

  21. Program Model – Service Provider Grid Service Provider Submit WSDL file with Additional Information Registering service MDS WSDL2OWLS Converter OWL File

  22. Program Model – Service Requester Results OWL file Queries Service Requester Algernon Query Submits Query JAVA-OWL interface Tokeniser Semantic Component

  23. Future Work… • Study of Web Service Execution Framework. • Study of Semantic Matchmaking Algorithm. • Analysis of Various Inference Engine. Ex:- Pellet, Jena, OWL Reasoner Estimated Duration - 75 days

  24. Vision…. • Need to Extend the Capability of Globus Toolkit to describe Grid Service Semantically. It is decided to Integrate Globus Toolkit with Protégé to enable the Service Provider for creating Service Ontology. • Decided to develop a tool to convert WSDL written for Grid into OWLS file and thereby enabling to apply Matchmaking mechanism.

  25. Screenshots

  26. Grid Portal prompting to select the type of user

  27. Grid Portal for Service Provider

  28. Service Provider after submitting WSDL file

  29. Service Requester portlet to submit query

  30. Portlet Displaying the results

  31. The portlet invoking the Service

  32. OWLS editor using WSDL2OWLS tool

  33. OWLS editor with WSDL2OWLS tool After converting into OWLS

  34. OWLS editor showing Profile, Service, Grounding and Process

  35. References • Foster, I. and Kesselman, C. (eds), “The Grid: Blueprint for a New Computing Infrastructure”, Morgan Kaufmann, 1999, 259-278. • Foster, I. Kesselman, C. and Tuecke, S, “The Anatomy of the Grid: Enabling Virtual Organizations ”, International Journal of High Performance Computing Applications, 15(3), 200-222, 2001. • Foster, I., Kesselman, C, Jeffrey M. Nick, Steven Tuecke. „The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration”, A Draft Document, Version: 6/22/2002 • Bray, T., Paoli, J. and Sperberg-McQueen, C.M. “The Extensible Markup Language (XML) 1.0”, 1998. • Fallside, D.C. “XML Schema Part 0: Primer”. W3C, Recommendation, 2001, http://www.w3.org/TR/xmlschema-0/ • “Simple Object Access Protocol (SOAP) 1.1”. W3C, Note 8, 2000. • Christensen, E., Curbera, F., Meredith, G. and Weerawarana., S. “Web Services Description Language (WSDL) 1.1”. W3C, Note 15, 2001, www.w3.org/TR/wsdl.

  36. Brittenham, P. “An Overview of the Web Services Inspection Language”, 2001, www.ibm.com/developerworks/webservices/library/ws-wsilover. • “UDDI: Universal Description, Discovery and Integration”, www.uddi.org. • Daconta, Obrst, Smith. “The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management”, Wiley Publishing, Inc. 2003. • Grigoris Antoniou and Frank van Harmelen, “A Semantic Web Primer", The MIT Press, 2004. • “RDF Primer” W3C Recommendation 10 February 2004. • “OWL Web Ontology Language Overview”, W3C Recommendation 10 February 2004. • Massimo Paolucci, Katia Sycara, Takuya Nishimura, and Naveen Srinivasan, “Toward a Semantic Web e-commerce” To appear in Proceedings of BIS2003. • Dean, M. (ed.), “OWL-S: Semantic Markup for Web Services”, Version 1.1 Beta, 2004. • Katia Sycara, Massimo Paolucci, Anupriya Ankolekar and Naveen Srinivasan, “Automated Discovery, Interaction and Composition of Semantic Web services”, Journal of Web Semantics, Volume 1, Issue 1, September 2003, pp. 27-46

  37. Massimo Paolucci and Katia Sycara, “Autonomous Semantic Web Services; The Zen of the Web”, September-October 2003, Published by the IEEE Computer Society. • Rama Akkiraju, Richard Goodwin, Prashant Doshi, Sascha Roeder, “A Method for Semantically Enhancing the Service Discovery Capabilities of UDDI”, In the Proceedings of IJCAI Information Integration on the Web Workshop, Acapulco, Mexico, August 2003. • Pokraev, S., Koolwaaij, J. and M. Wibbels. “Extending UDDI with context-aware features based on semantic service descriptions”, ICWS'03: Proceedings of the International Conference on Web Services. • Hendler, J., and McGuinness, D., “The DARPA Agent Markup Language,” IEEE Intelligent Systems 15 (6), 2000, 72–73. • van Harmelen, F., and Horrocks, I., “FAQs on OIL: The Ontology Inference Layer,” IEEE Intelligent Systems 15 (6), 2000, 69–72. • Berners-Lee,T., Hendler,J. and Lassila, O. “The Semantic Web”, Scientific American, May 2001. • Micheel C.Jaeger, Gregor Rojec-Goldmann, Christoph Liebetruth and Kurt Geihs, “Ranked Matching for Service Descriptions using OWL-S”

  38. Andrew Flahive, Wenny Rahayu, David Tanier, Bernady Apduhan, “A distributed Ontology Framework in the Semantic Grid Environment”, Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA ’05), 2005. • Yuhua Li, Zhengding Lu, “Ontology-based Universal Knowledge Grid: Enabling Knowledge Discovery and Integration on the Grid”, Proceedings of the 2004 IEEE Inventional Conference on Services Computing(SCC’04). • Hui Yang and Minjie Zhang, “Ontology-based Resource Descriptions for Distributed Information Sources”, Proceedings of the Third International Conference on Information Technology and Applicaitons (ICITA’05), 2005. • David De Roure, Nicholas R. Jennings and Nigel R. Shadbolt, “The Semantic Grid: A future e-Science Infrastructure”, Grid Computing – Making the Global Infrastructure a reality, John Wiley & Sons, Ltd, 2003. • M.Li, P.Van Santen, D.W.Walker, O.F.Rana, M.A.Baker, “SGrid: a service-oriented model for the Semantic Grid”, Future Generation Computer Systems 20, July 2004, PP 7-18

  39. Questions

  40. Thank You

More Related