Google Knows Who Is Famous Today - Building an Ontology From Search Engine Knowledge and DBpedia

被引：5

作者：

Ochs, Christopher ^{[1
]}

Tian, Tian ^{[1
]}

Geller, James ^{[1
]}

Chun, Soon Ae ^{[2
]}

机构：

[1] New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA

[2] CUNY Coll Staten Isl, Staten Isl, NY USA

来源：

FIFTH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2011) | 2011年

关键词：

ontology; ontology extraction from Web; DBpedia; suggested completions; mining suggested completions; homonyms; disambiguating Web searches;

D O I：

10.1109/ICSC.2011.50

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Modern search engines provide users with suggested query completions. These search suggestions are often ambiguous in nature and could refer to any number of homonyms. Previously we used a static ontology built from data in Wikipedia to address this issue. Here, we present a method for dynamically building an ontology of "famous people" based on mining the suggested completions of a search engine that are produced in response to partial user search queries. This is combined with data from DBpedia. We use this ontology to provide disambiguated search suggestions within a dynamic version of our previous Ontology-Supported Web Search system.

引用

页码：320 / 327

页数：8

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