Dmitri V. Kalashnikov
Rabia Nuray-Turan
ABSTRACT
Searching for people on the Web is one of the most common query types to the web search engines today. However, when a person name is queried, the returned webpages often contain documents related to several distinct namesakes who have the queried name. The task of disambiguating and finding the webpages related to the specific person of interest is left to the user. Many Web People Search (WePS) approaches have been developed recently that attempt to automate this disambiguation process. Nevertheless, the disambiguation quality of these techniques leaves a major room for improvement. This paper presents a new server-side WePS approach. It is based on collecting co-occurrence information from theWeb and thus it uses theWeb as an external data source. A skyline-based classification technique is developed for classifying the collected co-occurrence information in order to make clustering decisions. The clustering technique is specifically designed to (a) handle the dominance that exists in data and (b) to adapt to a given clustering quality measure. These properties allow the framework to get a major advantage in terms of result quality over all the latest WePS techniques we are aware of, including all the 18 methods covered in the recent WePS competition [2].
- R. Al-Kamha and D. W. Embley. Grouping search-engine returned citations for person-name queries. In WIDM04, 2004. Google Scholar
Digital Library
- J. Artiles, J. Gonzalo, and S. Sekine. The semeval-2007 weps evaluation: Establishing a benchmark for the web people search task. In SemEval, 2007. Google ScholarDigital Library
- J. Artiles, J. Gonzalo, and F. Verdejo. A testbed for people searching strategies in the WWW. In SIGIR, 2005. Google ScholarDigital Library
- A. Bagga and B. Baldwin. Entity-based cross-document co-referencing using the vector space model. In COLING, 1998. Google ScholarDigital Library
- R. Bekkerman and A. McCallum. Disambiguating web appearances of people in a social network. In WWW, 2005. Google ScholarDigital Library
- D. Bollegala, Y. Matsuo, and M. Ishizuka. Extracting key phrases to disambiguate personal names on the web. In CICLing, 2006. Google ScholarDigital Library
- D. Bollegala, Y. Matsuo, and M. Ishizuka. Measuring semantic similarity between words using web search engines. In WWW'07, 2007. Google ScholarDigital Library
- A. Z. Broder, S. C. Glassman, M. S. Manasse, and G. Zweig. Syntactic clustering of the web. Comput. Netw. ISDN Syst., 29(8-13):1157--1166, 1997. Google ScholarDigital Library
- Z. Chen, D. V. Kalashnikov, and S. Mehrotra. An adaptive graphical approach to entity resolution. In Proc. of ACM IEEE Joint Conference on Digital Libraries (ACM IEEE JCDL), June 17-23 2007. Google ScholarDigital Library
- J. Cho, H. Garcia-Molina, T. Haveliwala, W. Lam, A. Paepcke,S. Raghavan, and G. Wesley. Stanford webbase components and applications. In ACM TOIT, 2006. Google ScholarDigital Library
- E. Elmacioglu, M.-Y. Kan, D. Lee, and Y. Zhang. Web based linkage. In WIDM07, 2007. Google ScholarDigital Library
- E. Elmacioglu, Y. F. Tan, S. Yan, M.-Y. Kan, and D. Lee. Psnus: Web people name disambiguation by simple clustering with rich features. In SemEval, 2007. Google ScholarDigital Library
- E. Gabrilovich and S. Markovitch. Computing semantic relatedness using wikipedia-based explicit semantic analysis. In IJCAI, 2007. Google ScholarDigital Library
- R. Guha and A. Garg. Disambiguating people in search. In Stanford University, 2004.Google Scholar
- D. V. Kalashnikov, Z. Chen, R. Nuray-Turan, and S. Mehrotra. Web people search via connection analysis. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), to appear. Google ScholarDigital Library
- D. V. Kalashnikov and S. Mehrotra. Domain-independent data cleaning via analysis of entity-relationship graph. ACM Transactions on Database Systems (ACM TODS), 31(2):716--767, June 2006. Google ScholarDigital Library
- D. V. Kalashnikov, S. Mehrotra, and Z. Chen. Exploiting relationships for domain-independent data cleaning. In SIAM International Conference on Data Mining (SIAM Data Mining 2005), Newport Beach, CA, USA, April 21-23 2005.Google ScholarCross Ref
- D. V. Kalashnikov, S. Mehrotra, Z. Chen, R. Nuray-Turan, andN. Ashish. Entity search: A new paradigm for people search on the web. In IEEE ICDE, Istanbul, Turkey, April 16-20 2007.Google Scholar
- P. Kanani, A. McCallum, and C. Pal. Improving author coreference by resource-bounded information gathering from the web. In IJCAI, 2007. Google ScholarDigital Library
- I. C. Lerman. Les Bases de la Classification Automatique. Gauthier-Villars, 1970.Google Scholar
- X. Li, P. Morie, and D. Roth. Semantic integration in text: From ambiguous names to identifiable entities. AI Magazine. Special Issue on Semantic Integration, pages 45--68, 2005. Google ScholarDigital Library
- Y. Matsuo, J. Mori, M. Hamasaki, K. Ishida, T. Nishimura, H. Takeda,K. Hasida, and M. Ishizuka. Polyphonet: an advanced social network extraction system from the web. In WWW, 2006. Google ScholarDigital Library
- R. Nuray-Turan, D. V. Kalashnikov, and S. Mehrotra. Self-tuning in graph-based reference disambiguation. In Proc. of Int'l Conf. on Database Systems for Advanced Applications (DASFAA), April 9-12 2007. Google ScholarDigital Library
- C. J. van Rijsbergen. Information Retrieval. Butterworth, 1979. Google ScholarDigital Library
- X. Wan, J. Gao, M. Li, and B. Ding. Person resolution in person search results: Webhawk. In CIKM, 2005. Google ScholarDigital Library
Index Terms
- Towards breaking the quality curse.: a web-querying approach to web people search.
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