POLYPHONET: An advanced social network extraction system from the Web

Web Semantics

Volumn 5, Issue 4, 2007, Pages 262-278

  Matsuo, Yutaka ^a   Mori, Junichiro ^b   Hamasaki, Masahiro ^a   Nishimura, Takuichi ^a   Takeda, Hideaki ^b   Hasida, Koiti ^a   Ishizuka, Mitsuru ^b  

^a National Institute of Advanced Industrial Science and Technology   (United States)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Search engine; Social network; Web mining

Indexed keywords

DATA MINING; SEARCH ENGINES; SOCIAL ASPECTS;

EXTRACTION SYSTEM; POLYPHONET; SOCIAL NETWORK; WEB DOCUMENTS; WEB MINING;

WEB SERVICES;

EID: 36549074243     PISSN: 15708268     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.websem.2007.09.002     Document Type: Article

References (55)

1. Staab S., Domingos P., Mika P., Golbeck J., Ding L., Finin T., Joshi A., Nowak A., and Vallacher R. Social networks applied. IEEE Intell. Syst. 20 1 (2005) 80-93
2. J. Leskovec, L.A. Adamic, B.A. Huberman, The dynamics of viral marketing, http://www.hpl.hp.com/research/idl/papers/viral/viral.pdf, 2005.
3. Golbeck J., and Hendler J. Accuracy of metrics for inferring trust and reputation in semantic Web-based social networks. Proceedings of the EKAW 2004 (2004)
4. P. Mika, Flink, Semantic Web technology for the extraction and analysis of social networks, J. Web Semantics 3 (2) (2005) 211-223.
5. Mika P. Ontologies are us: A unified model of social networks and semantics. J. Web Semantics 5 1 (2007) 5-15
6. L. Adamic, O. Buyukkokten, E. Adar, Social network caught in the Web, First Monday 8 (6).
7. Tyler J., Wikinson D., and Huberman B. Email as Spectroscopy: Automated Discovery of Community Structure within Organizations, Communities and technologies (2003), Kluwer, B.V. pp. 81-96
8. Miki T., Nomura S., and Ishida T. Semantic Web link analysis to discover social relationship in academic communities. Proceedings of the SAINT (2005)
9. Kautz H., Selman B., and Shah M. The hidden Web. AI Mag. 18 2 (1997) 27-35
10. Ramakrishnan C., Kochut K., and Sheth A. A framework for schema-driven relationship discovery from unstructured text. Proceedings of the ISWC (2006)
11. A. Culotta, R. Bekkerman, A. McCallum, Extracting social networks and contact information from email and the Web, in: Proceedings of the CEAS-1, 2004.
12. Bekkerman R., and McCallum A. Disambiguating Web appearances of people in a social network. Proceedings of the WWW (2005)
13. Harada M., Sato S., and Kazama K. Finding authoritative people from the Web. Proceedings of the Joint Conference on Digital Libraries (JCDL2004) (2004)
14. Faloutsos C., McCurley K.S., and Tomkins A. Fast discovery of connection subgraphs. Proceedings of the ACM SIGKDD (2004)
15. Knees P., Pampalk E., and Widmer G. Artist classification with Web-based data. Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR) (2004)
16. Turney P. Mining the Web for synonyms: F PMI-IR versus LSA on TOEFL. pp. 491-502. Proceedings of the ECML-2001 (2001)
17. Terra E., and Clarke C. Frequency estimates for statistical word similarity measures. Proceedings of the HLT/NAACL (2003)
18. Jin Y., Matsuo Y., and Ishizuka M. Extracting social networks among various entities on the Web. Proceedings of the ESWC (2007)
19. Matsuo Y., Mori J., Hamasaki M., Takeda H., Nishimura T., Hasida K., and Ishizuka M. POLYPHONET: an advanced social network extraction system. Proceedings of the WWW (2006)
20. Cimiano P., Handschuh S., and Staab S. Towards the self-annotating Web. pp. 462-471. Proceedings of the WWW (2004)
21. Cimiano P., Ladwig G., and Staab S. Gimmet́he context: context-driven automatic semantic annotation with cpankow. Proceedings of the WWW (2005)
22. T. Calishain, R. Dornfest, Google Hacks: 100 Industrial-Strength Tips & Tools, O'Reilly, 2003.
23. T. Finin, L. Ding, L. Zou, Social networking on the semantic Web, The Learning Organization 12 (5) (2005) 418-435.
24. Aleman-Meza B., Nagarajan M., Ramakrishnan C., Sheth A., Arpinar I., Ding L., Kolari P., Joshi A., and Finin T. Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection. Proceedings of the WWW (2006)
25. Goecks J., and Mynatt E.D. Leveraging social networks for information sharing. pp. 328-331. Proceedings of the ACM CSCW (2004)
26. Mori J., Ishizuka M., Sugiyama T., and Matsuo Y. Real-world oriented information sharing using social networks. Proceedings of the ACM GROUP'05 (2005)
27. Kumar R., Raghavan P., Rajagopalan S., and Tomkins A. The Web and social networks. IEEE Comput. 35 11 (2002) 32-36
28. Manning C., and Schütze H. Foundations of Statistical Natural Language Processing (2002), The MIT Press, London
29. Matsuo Y., Tomobe H., Hasida K., and Ishizuka M. Finding social network for trust calculation. pp. 510-514. Proceedings of the 16th European Conference on Artificial Intelligence (ECAI2004) (2004)
30. Matsuo Y., Hironori T., and Nishimura T. Robust estimation of google counts. Proceedings of the AAAI (2007)
31. Chen H., Lin M., and Wei Y. Novel association measures using Web search with double checking. Proceedings of the ACL (2006)
32. Yasuda Y., and Matsuo Y. Making invisible colleges visible - ai researchers' network positions and productivity. Proceedings of the International Sunbelt Social Network Conference (Sunbelt XXVI) (2006)
33. R. Guha, A. Garg, Disambiguating entities in Web search, tAP project, http://tap.stanford.edu/PeopleSearch.pdf, 2004.
34. L. Lloyd, V. Bhagwan, D. Gruhl, A. Tomkins, Disambiguation of references to individuals, Tech. Rep. RJ10364(A0410-011), IBM Research, 2005.
35. B. Malin, Unsupervised name disambiguation via social network similarity, in: Workshop Notes on Link Analysis, Counterterrorism, and Security, 2005.
36. Wacholder N., Ravin Y., and Choi M. Disambiguation of proper names in text. pp. 202-208. Proceedings of the 5th Applied Natural Language Processing Conference (1997)
37. Mann G.S., and Yarowsky D. Unsupervised personal name disambiguation. Proceedings of the CoNLL (2003)
38. Li X., Morie P., and Roth D. Semantic integration in text: From ambiguous names to identifiable entitiesb. AI Mag. Spring (2005) 45-68
39. Bollegala D., Matsuo Y., and Ishizuka M. Disambiguating personal names on the Web using automatically extracted key phrases. Proceedings of the ECAI 2006 (2006)
40. I. Davis, E. Vitiello Jr., RELATIONSHIP: a vocabulary for describing relationships between people, http://vocab.org/relationship/.
41. Wasserman S., and Faust K. Social Network Analysis. Methods and Applications (1994), Cambridge University Press, Cambridge
42. Palla G., Derenyi I., Farkas I., and Vicsek T. Uncovering the overlapping community structure of complex networks in nature and society. Nature 435 (2005) 814
43. Quinlan J.R. C4. 5: Programs for Machine Learning (1993), Morgan Kaufmann, California
44. Nigram K., McCallum A., Thrun S., and Mitchell T. Text classification from labeled and unlabeled documents using em. Mach. Learn. 39 (2000) 103-134
45. Mori J., Tsujishita T., Matsuo Y., and Ishizuka M. Extracting relations in social networks from Web using similarity between collective context. Proceedings of the ISWC 2006 (2006)
46. H. Nakagawa, A. Maeda, H. Kojima, Automatic term recognition system termextract, http://gensen.dl.itc.utokyo.ac.jp/gensenweb_eng.html, 2003.
47. Mori J., Matsuo Y., and Ishizuka M. Finding user semantics on the Web using word co-occurrence information. Proceedings of the International Workshop on Personalization on the Semantic Web (PersWeb05) (2005)
48. Chakrabarti S. Mining the Web: Discovering Knowledge from Hypertext Data (2002), Morgan Kaufmann
49. Hamasaki M., Takeda H., Ohmukai I., and Ichise R. Scheduling support system for academic conferences based on interpersonal networks. Proceedings of the ACM Hypertext (2004)
50. Nishimura T., Nakamura Y., Itoh H., and Nakamura H. System design of event space information support utilizing CoBITs. pp. 384-387. Proceedings of the ICDCS 2004 (2004)
51. Anagnostopoulos A., Broder A.Z., and Carmel D. Sampling search-engine results. pp. 245-256. Proceedings of the WWW (2005)
52. Cafarella M., and Etzioni O. A search engine for natural language applications. Proceedings of the WWW (2005)
53. Sahami M., and Heilman T. A Web-based kernel function for matching short text snippets. pp. 2-9. International Workshop on Learning in Web Search (LWS2005) (2005)
54. Burt R.S. Structural Holes: The Social Structure of Competition (1992), Harvard University Press, Cambridge, MA
55. Cimiano P., and Staab S. Learning by googling. SIGKDD Explor. 6 2 (2004) 24-33