Disambiguation Algorithm for People Search on the Web.

Appeared in IEEE International Conference on Data Engineering (IEEE ICDE), short publication, 2007

Dmitri V. Kalashnikov, Stella Chen, Rabia Nuray, Sharad Mehrotra, and Naveen Ashish

Computer Science Department
University of California, Irvine
GDF project (http://www.ics.uci.edu/~dvk/GDF)


In this paper we present a new paradigm for entity search on the Web. Searching for entities, such as people, on the Web is today done using keyword based search, which leaves the burden of disambiguating and collecting pages relevant to a particular entity (from among the namesakes) on the user. We develop an approach in which a search for a name returns a set of clusters of Web pages grouped based on their association to a "real" person. Our method exploits variety of semantic information extracted from Web pages to disambiguate among namesakes referred to on the Web pages. We demonstrate the effectiveness of our approach by testing both the efficacy of the disambiguation algorithms and also its impact on entity search.

Categories and Subject Descriptors:

H.2.m [Database Management]: Miscellaneous - Data cleaning;
H.2.8 [Database Management]: Database Applications - Data mining;
H.2.5 [Information Systems]: Heterogeneous Databases;
H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval


Web people search, entity search, entity resolution, record linkage, data cleaning, new web services, information retrieval.

Downloadable files:

Paper: ICDE07_dvk.pdf
Presentation Slides: ICDE07_dvk.ppt

BibTeX entry:

   author    = {Dmitri V.\ Kalashnikov and Stella Chen and Rabia Nuray and Sharad Mehrotra 
                and Naveen Ashish},
   title     = {Disambiguation Algorithm for People Search on the Web},
   booktitle = {Proc.\ of the IEEE 23rd International Conference on Data Engineering 
                (IEEE ICDE 2007), short paper},
   year      = {2007},
   month     = {April 16--20},
   address   = {Istanbul, Turkey}

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