Towards Service Retrieval on the Web Eran Toch, Iris Reinhartz-Berger, Dov Dori, and Avigdor Gal ILAIS 2006
Agenda <ul><li>Motivation </li></ul><ul><li>Service Retrieval </li></ul><ul><ul><li>Approximation </li></ul></ul><ul><ul><...
Motivation
Current Approaches <ul><li>Traditional IR </li></ul><ul><ul><li>Wrap with text  [Dong et al., 2004],  [Ouzzani et al., 200...
Service Model Result Outputs, state change yields Service Input requires External Service relates to Quality Price, speed,...
Service Approximation Boston Service 1 Service 1   Service 2 San  Francisco far New York Service 2 close
Approximation By Composition San  Francisco Service 1 Service 1   Service 2 + Service 3 New York far Service 2 Service 3
OPOSSUM
Architecture Crawler Concepts Index Composition Index Query  Interface Service  Description User WSDL, OWL-S Ranker Domain...
Evaluation <ul><li>828 services  </li></ul><ul><li>5432 concepts in 23 domains </li></ul>
Domains and Approximation
Challenges <ul><li>Theory of service equivalence </li></ul><ul><ul><li>Human standpoints </li></ul></ul><ul><ul><li>Combin...
Implementation
References <ul><li>[Patil]  A. Patil, S. Oundhakar, A. Sheth, and K. Verma. Meteor-s web 13 service annotation framework. ...
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Service Retrieval on the Web (presentation from ILAIS-07)

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Slides from my presentation at ILAIS-07 research track.

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  • Service Retrieval on the Web (presentation from ILAIS-07)

    1. 1. Towards Service Retrieval on the Web Eran Toch, Iris Reinhartz-Berger, Dov Dori, and Avigdor Gal ILAIS 2006
    2. 2. Agenda <ul><li>Motivation </li></ul><ul><li>Service Retrieval </li></ul><ul><ul><li>Approximation </li></ul></ul><ul><ul><li>Search Engine </li></ul></ul><ul><li>Evaluation </li></ul><ul><li>Challenges </li></ul>
    3. 3. Motivation
    4. 4. Current Approaches <ul><li>Traditional IR </li></ul><ul><ul><li>Wrap with text [Dong et al., 2004], [Ouzzani et al., 2004] </li></ul></ul><ul><li>Semantic Web </li></ul><ul><ul><li>Ontologies, Logic-based inference [Paolucci et al., 2004], [Patil et al., 2002] </li></ul></ul>
    5. 5. Service Model Result Outputs, state change yields Service Input requires External Service relates to Quality Price, speed, freshness has
    6. 6. Service Approximation Boston Service 1 Service 1  Service 2 San Francisco far New York Service 2 close
    7. 7. Approximation By Composition San Francisco Service 1 Service 1  Service 2 + Service 3 New York far Service 2 Service 3
    8. 8. OPOSSUM
    9. 9. Architecture Crawler Concepts Index Composition Index Query Interface Service Description User WSDL, OWL-S Ranker Domain Knowledge
    10. 10. Evaluation <ul><li>828 services </li></ul><ul><li>5432 concepts in 23 domains </li></ul>
    11. 11. Domains and Approximation
    12. 12. Challenges <ul><li>Theory of service equivalence </li></ul><ul><ul><li>Human standpoints </li></ul></ul><ul><ul><li>Combining branches of equivalence </li></ul></ul><ul><li>Learning services </li></ul>Collaborative mining?
    13. 13. Implementation
    14. 14. References <ul><li>[Patil] A. Patil, S. Oundhakar, A. Sheth, and K. Verma. Meteor-s web 13 service annotation framework. In Proceedings of WWW 2004 , pages 553–562, New York, NY, May 2004. </li></ul><ul><li>[Paolucci] Massimo Paolucci, Takahiro Kawamura, Terry R. Payne, and Katia P. Sycara. Semantic matching of web services capabilities. In International Semantic Web Conference , pages 333–347, 2002. </li></ul><ul><li>[Dong] Xin Dong, Alon Y. Halevy, Jayant Madhavan, Ema Nemes, and Jun Zhang. Simlarity search for web services. In VLDB , pages 372–383, 2004. </li></ul><ul><li>[Ouzzani] Mourad Ouzzani and Athman Bouguettaya. Efficient access to web services. IEEE Internet Computing , 8(2):34–44, 2004. Mark Klein and Abraham Bernstein. Towards high-precision service retrieval. IEEE Internet Computing . </li></ul>

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