Query Intent Disambiguation of Keyword-Based Semantic Entity Search in Dataspaces

Keyword query has attracted much research attention due to its simplicity and wide applications. The inherent ambiguity of keyword query is prone to unsatisfied query results. Moreover some existing techniques on Web query, keyword query in relational databases and XML databases cannot be completely...

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Bibliographic Details
Published inJournal of computer science and technology Vol. 28; no. 2; pp. 382 - 393
Main Author 杨丹 申德荣 于戈 寇月 聂铁铮
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.03.2013
Springer Nature B.V
College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
Software College, University of Science and Technology LiaoNing, Anshan 114044, China%College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
Subjects
Ambiguity
Analysis
Artificial Intelligence
Computer Science
Data models
Data Structures and Information Theory
Extensible Markup Language
Information Systems Applications (incl.Internet)
Keywords
Metadata
Queries
Query processing
Regular Paper
Relational data bases
Science
Searches
Searching
Semantics
Software Engineering
Studies
Theory of Computation
Web查询
XML
XML数据库
关键字查询
实体
意图
数据空间
空间搜索
语义
semantic entity search
query intent disambiguation
dataspace
Online AccessGet full text
ISSN1000-9000
1860-4749
DOI10.1007/s11390-013-1338-0

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Summary:Keyword query has attracted much research attention due to its simplicity and wide applications. The inherent ambiguity of keyword query is prone to unsatisfied query results. Moreover some existing techniques on Web query, keyword query in relational databases and XML databases cannot be completely applied to keyword query in dataspaces. So we propose KeymanticES, a novel keyword-based semantic entity search mechanism in dataspaces which combines both keyword query and semantic query features. And we focus on query intent disambiguation problem and propose a novel three-step approach to resolve it. Extensive experimental results show the effectiveness and correctness of our proposed approach.
Bibliography:11-2296/TP
Keyword query has attracted much research attention due to its simplicity and wide applications. The inherent ambiguity of keyword query is prone to unsatisfied query results. Moreover some existing techniques on Web query, keyword query in relational databases and XML databases cannot be completely applied to keyword query in dataspaces. So we propose KeymanticES, a novel keyword-based semantic entity search mechanism in dataspaces which combines both keyword query and semantic query features. And we focus on query intent disambiguation problem and propose a novel three-step approach to resolve it. Extensive experimental results show the effectiveness and correctness of our proposed approach.
query intent disambiguation, semantic entity search, dataspace
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ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-013-1338-0