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Measuring Semantic Similarity between Named Entities by Searching the Web Directory
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Jiahui Birnbaum, Lawrence |
| Copyright Year | 2007 |
| Abstract | The importance of named entities in information retrieval and knowledge management has recently brought interest in characterizing semantic relationships between entities. In this paper, we propose a method for measuring semantic similarity, an important type of semantic relationship, between entities. The method is based on Google Directory, a search interface to the Open Directory Project. Via the search engine, we can locate the web pages relevant to an entity and automatically create a profile of the entity according to the directory assignments of its web pages, which capture various features of the entity. Using their profiles, the semantic similarity between entities can be measured in different dimensions. We apply the semantic similarity measurement to two knowledge acquisition tasks: thesaurus construction of entities and fine grained categorization of entities. Our experiments demonstrate that the proposed method works effectively in these two tasks. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cs.northwestern.edu/~jli156/WI07_Jiahui_final.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Apple Open Directory Categorization Dimensions Directory (computing) Directory service Experiment Information retrieval Interface Device Component Knowledge acquisition Knowledge management List of Google products Name Named entity Named-entity recognition Page (document) Published Directory Semantic similarity Thesaurus Web page Web search engine World Wide Web |
| Content Type | Text |
| Resource Type | Article |
