A Novel Approach to Improve the Accuracy of Web Retrieval

Author

Klyuev, Vitaly ; Oleshchuk, Vladimir

Author_Institution

Software Eng. Lab., Univ. of Aizu, Fukushima, Japan

fYear

2010

fDate

21-23 May 2010

Firstpage

1

Lastpage

5

Abstract

General purpose search engines utilize a very simple view on text documents: They consider them as bags of words. It results that after indexing, the semantics of documents is lost. In this paper, we introduce a novel approach to improve the accuracy of Web retrieval. We utilize the WordNet and WordNet SenseRelate All Words Software as main tools to preserve the semantics of the sentences of documents and user queries. Nouns and verbs in the WordNet are organized in the tree hierarchies. The word meanings are presented by numbers that reference to the nodes on the semantic tree. The meaning of each word in the sentence is calculated when the sentence is analyzed. The goal is to put each noun and verb of the sentence on the right place on the tree. Taking this information into account, it is possible to solve the ambiguity problem for the query keywords and create the indicative summaries taking into account query words, and semantically related hypernyms and synonyms.

Keywords

query processing; search engines; semantic Web; text analysis; tree data structures; word processing; Web retrieval accuracy; WordNet; WordNet SenseRelate; ambiguity problem; query keywords; search engines; semantic tree; words software; Indexing; Natural languages; Search engines; Software engineering; Software packages; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Information Technology (FutureTech), 2010 5th International Conference on

Conference_Location

Busan

Print_ISBN

978-1-4244-6948-2

Type

conf

DOI

10.1109/FUTURETECH.2010.5482671

Filename

5482671