Ontology-Based Visual Query Formulation: An Industry Experience

被引：13

作者：

Soylu, Ahmet ^{[1
,2
]}

Kharlamov, Evgeny ^{[3
]}

Zheleznyakov, Dmitriy ^{[3
]}

Jimenez-Ruiz, Ernesto ^{[3
]}

Giese, Martin ^{[1
]}

Horrocks, Ian ^{[3
]}

机构：

[1] Univ Oslo, Dept Informat, N-0316 Oslo, Norway

[2] Gjovik Univ Coll, Fac Informat & Media Technol, Gjovik, Norway

[3] Univ Oxford, Dept Comp Sci, Oxford, England

来源：

ADVANCES IN VISUAL COMPUTING, PT I (ISVC 2015) | 2015年 / 9474卷

基金：

英国工程与自然科学研究理事会;

关键词：

Visual query formulation; Ontology; Usability; SPARQL;

D O I：

10.1007/978-3-319-27857-5_75

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Querying is an essential instrument for meeting ad hoc information needs; however, current approaches for querying semantic data sources mostly target technologically versed users. Hence, there is a need for methods that make it possible for users with limited technological skills to express relatively complex ad hoc information needs in an easy and intuitive way. Visual methods for query formulation undertake the challenge of making querying independent of users' technical skills and the knowledge of the underlying textual query language and the structure of data. In this paper, we present an ontology-based visual query system, OptiqueVQS, and report user experiments in two industrial settings.

引用

页码：842 / 854

页数：13

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