Automated information extraction from web APIs documentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7651 LNCS, Issue , 2012, Pages 497-511

  Ly, Papa Alioune ^a,b   Pedrinaci, Carlos ^a   Domingue, John ^a  

^a OPEN UNIVERSITY   (United Kingdom)

^b EPFL   (Switzerland)

Author keywords

Information Extraction; RESTful service; Service Discovery; Web API; Web Page Segmentation

Indexed keywords

INFORMATION EXTRACTION; RESTFUL SERVICE; SERVICE DISCOVERY; WEB API; WEB PAGE SEGMENTATION;

ALGORITHMS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; SYSTEMS ENGINEERING; WEBSITES;

APPLICATION PROGRAMMING INTERFACES (API);

EID: 84869384919     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35063-4_36     Document Type: Conference Paper

References (20)

1. Fielding, R.T.: Architectural Styles and the Design of Network-based Software Architectures. PhD thesis, University of California, Irvine (2000)
2. Erl, T.: SOA Principles of Service Design. The Prentice Hall Service-Oriented Computing Series. Prentice Hall (July 2007)
3. Pedrinaci, C., Domingue, J.: Toward the Next Wave of Services: Linked Services for the Web of Data. Journal of Universal Computer Science 16(13), 1694-1719 (2010)
4. Maleshkova, M., Pedrinaci, C., Domingue, J.: Investigating Web APIs on the World Wide Web. In: European Conference on Web Services (ECOWS), Ayia Napa, Cyprus (2010)
5. Lin, C., He, Y., Pedrinaci, C., Domingue, J.: Feature lda: a supervised topic model for automatic detection of web api documentations from the web. In: The 11th International Semantic Web Conference (ISWC), Boston, USA (2012)
6. Pedrinaci, C., Domingue, J., Sheth, A.: Semantic Web Services. In: Handbook on Semantic Web Technologies. Semantic Web Applications. Springer (2010)
7. Richardson, L., Ruby, S.: RESTful Web Services. O'Reilly Media, Inc. (May 2007)
8. Sheth, A., Gomadam, K., Lathem, J.: SA-REST: Semantically Interoperable and Easier-to-Use Services and Mashups. IEEE Internet Computing 11(6), 91-94 (2007)
9. Kopecky, J., Vitvar, T., Pedrinaci, C., Maleshkova, M.: RESTful Services with Lightweight Machine-readable Descriptions and Semantic Annotations. In: Wilde, E., Pautasso, C. (eds.) REST: From Research to Practice. Springer (2011)
10. Gomadam, K., Ranabahu, A., Nagarajan, M., Sheth, A.P., Verma, K.: A faceted classification based approach to search and rank web apis. In: ICWS 2008: Proceedings of the 2008 IEEE International Conference on Web Services, pp. 177-184. IEEE Computer Society, Washington, DC (2008)
11. Steinmetz, N., Lausen, H., Brunner, M.: Web Service Search on Large Scale. In: Baresi, L., Chi, C.-H., Suzuki, J. (eds.) ICSOC-Service Wave 2009. LNCS, vol. 5900, pp. 437-444. Springer, Heidelberg (2009)
12. Lin, S., Ho, J.: Discovering informative content blocks from Web documents. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 588-593 (2002)
13. Debnath, S., Mitra, P., Pal, N.: Automatic Identification of Informative Sections of Web Pages. IEEE Transactions on Knowledge and Data Engineering 17(9) (2005)
14. Chakrabarti, D., Kumar, R., Punera, K.: Page-level template detection via isotonic smoothing. In: Proceedings of the 16th International Conference on World Wide Web, pp. 61-70 (2007)
15. Hammer, J., Garcia-Molina, H., Cho, J., Aranha, R., Crespo, A.: Extracting Semistructured Information from the Web. In: Proceedings of the Workshop on Management of Semistructured Data (May 1997)
16. Cai, D., Yu, S., Wen, J.: Vips: a visionbased page segmentation algorithm. Technical Report MSR-TR-2003-79, Microsoft Research (2003)
17. Liu, Y., Wang, Q., Wang, Q., Liu, Y., Wei, L.: An Adaptive Scoring Method for Block Importance Learning. In: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2006, pp. 761-764 (2006)
18. Wan, X., Yang, J., Xiao, J.: Block-based similarity search on the Web using manifold-ranking. In: Semantic Web: Research and Applications, Proceedings, Peking Univ, Inst Comp Sci & Technol, Beijing 100871, Peoples R China, pp. 60-71 (2006)
19. Kang, J., Yang, J., Choi, J.: Repetition-basedWeb Page Segmentation by Detecting Tag Patterns for Small-Screen Devices. IEEE Transaction on Consumer Electronics 56(2) (May 2010)
20. Vineel, G.: Web page DOM node characterization and its application to page segmentation. In: 2009 IEEE International Conference on Internet Multimedia Services Architecture and Applications (IMSAA), pp. 1-6 (2009)