DocumentCode
496356
Title
Ontology-Based Categorization of Web Search Results Using YAGO
Author
Ren, Anjian ; Du, Xiaoyong ; Wang, Puwei
Volume
1
fYear
2009
fDate
24-26 April 2009
Firstpage
800
Lastpage
804
Abstract
One of the major limitations of current search engines is that users could not quickly locate what they want if the input query is too general. Some existing techniques try to cluster Web search results into groups so as to userpsilas quick browsing. In this paper, we present a new approach to categorize the Web search results by using YAGO ontology. It utilizes the YAGO ontology to automatically generate categories for the user´s specific query and classify the search results into appropriate categories. Our experimental results indicate that our method is feasible and effectiveness.
Keywords
ontologies (artificial intelligence); pattern classification; query processing; search engines; Web search result classification; Web search result clustering; YAGO ontology; ontology-based categorization; search engine; user quick browsing; user specific query; Feedback; Humans; Image databases; Image retrieval; Information retrieval; Information systems; Ontologies; Radio frequency; Set theory; Web search;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.179
Filename
5193813
Link To Document