Disambiguating Web appearances of people in a social network

By Ron Bekkerman, Andrew McCallum. The Web Conference, 2005

323 citations recorded by the source corpus.

How researchers see this paper

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OAG: Toward Linking Large-scale Heterogeneous Entity Graphs (2019, background): “The problem of entity linking is related to entity matching [20, 25, 36], entity resolution [2, 3], web appearance disambiguation [1, 11], name identification [16], object distinction [37], and name disambiguation [8, 30, 40], and has been extensively studied for decades by different communities.”
Social Media, Knowledge Sharing, and Innovation: Toward a Theory of Communication Visibility (2014, unknown): “…social networks in the workplace have found high correlations between the two, indicating that the people with whom we communicate regularly at work (via email at least) are the people we normally consider to be part of our social networks (e.g. Bekkerman & McCallum, 2005; Campbell et al., 2003).”
POLYPHONET: an advanced social network extraction system from the web (2006, methodology): “Bekkerman and McCallum uses probabilistic models for the Web appearance disambiguation problem [3]: the set of Web pages is split into clusters, then one cluster can be considered as containing only relevant pages: all other clusters are irrelevant.”
Measuring semantic similarity between words using web search engines (2007, background): “Disambiguating named entities is important in various applications such as information retrieval [9], social network extraction [19, 3, 4], Word Sense Disambiguation (WSD) [21], citation matching [11] and cross-document co-reference resolution [28, 10].”