Harnessing the crowds for automating the identification of web APIs

AAAI Spring Symposium - Technical Report

Volumn SS-12-04, Issue , 2012, Pages 58-63

  Pedrinaci, Carlos ^a   Liu, Dong ^a   Lin, Chenghua ^a   Domingue, John ^a  

^a OPEN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CROWDSOURCING; DATA SETS;

APPLICATION PROGRAMMING INTERFACES (API); WEB SERVICES;

SEARCH ENGINES;

EID: 84864959792     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Cortes, C., and Vapnik, V. 1995. Support-vector networks. Machine learning 20(3):273-297.
2. Erl, T. 2007. SOA Principles of Service Design. The Prentice Hall Service-Oriented Computing Series. Prentice Hall.
3. Fielding, R. T. 2000. Architectural Styles and the Design of Network-based Software Architectures. Ph.D. Dissertation, University of California, Irvine.
4. Gomadam, K.; Ranabahu, A.; Nagarajan, M.; Sheth, A. P.; and Verma, K. 2008. A faceted classification based approach to search and rank web apis. In ICWS '08: Proceedings of the 2008 IEEE International Conference on Web Services, 177-184. Washington, DC, USA: IEEE Computer Society.
5. Kawamura, T.; Blasio, J.-A. D.; Hasegawa, T.; Paolucci, M.; and Sycara, K. P. 2004. Public Deployment of Semantic Service Matchmaker with UDDI Business Registry. In International Semantic Web Conference, 752-766.
6. Kiefer, C., and Bernstein, A. 2008. The Creation and Evaluation of iSPARQL Strategies for Matchmaking. In Proceedings of the 5th European Semantic Web Conference (ESWC), Lecture Notes in Computer Science. Springer. to appear.
7. Klusch, M.; Kapahnke, P.; and Zinnikus, I. 2009. SAWSDLMX2: A Machine-Learning Approach for Integrating Semantic Web Service Matchmaking Variants. In IEEE International Conference on Web Services, volume 0, 335-342. Los Alamitos, CA, USA: IEEE Computer Society.
8. Kopecky, J.; Vitvar, T.; Pedrinaci, C.; and Maleshkova, M. 2011. REST: From Research to Practice. Springer. chapter RESTful Services with Lightweight Machine-readable Descriptions and Semantic Annotations.
9. Lewis, D. 1998. Naive (bayes) at forty: The independence assumption in information retrieval. 4-15. Springer.
10. Maleshkova, M.; Pedrinaci, C.; and Domingue, J. 2010. Investigating Web APIs on the World Wide Web. In European Conference on Web Services (ECOWS).
11. Pedrinaci, C., and Domingue, J. 2010. Toward the Next Wave of Services: Linked Services for the Web of Data. Journal of Universal Computer Science 16(13):1694-1719.
12. Pedrinaci, C.; Domingue, J.; and Sheth, A. 2010. Handbook on Semantic Web Technologies, volume Semantic Web Applications. Springer. chapter Semantic Web Services.
13. Pilioura, T., and Tsalgatidou, A. 2009. Unified Publication and Discovery of Semantic Web Services. ACM Trans. Web 3(3):1-44.
14. Sheth, A.; Gomadam, K.; and Lathem, J. 2007. SA-REST: Semantically Interoperable and Easier-to-Use Services and Mashups. Internet Computing, IEEE 11(6):91-94.
15. Stollberg, M.; Hepp, M.; and Hoffmann, J. 2007. A Caching Mechanism for Semantic Web Service Discovery. In 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007), 477-490.
16. Toch, E.; Gal, A.; Reinhartz-Berger, I.; and Dori, D. 2007. A semantic approach to approximate service retrieval. ACM Transactions on Internet Technology (TOIT) 8(1):2.