A query language and ranking algorithm for news items in the Hermes news processing framework

被引：5

作者：

Hogenboom, Frederik ^{[1
]}

Vandic, Damir ^{[1
]}

Frasincar, Flavius ^{[1
]}

Verheij, Arnout ^{[1
]}

Kleijn, Allard ^{[1
]}

机构：

[1] Erasmus Univ, NL-3000 DR Rotterdam, Netherlands

来源：

SCIENCE OF COMPUTER PROGRAMMING | 2014年 / 94卷

关键词：

Query languages; News ranking; Ontology-based querying;

D O I：

10.1016/j.scico.2013.07.018

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Hermes is a Web-based framework that makes use of many Semantic Web technologies for building personalized news services. Ontologies are employed for knowledge representation, natural language processing techniques are used for semantic text analysis, and semantic query languages enable the specification of the desired information. To accommodate for the need for an intuitive way to create complex queries for news information, we present the Hermes Graphical Query Language (HGQL). The language enables users to create structured queries that use disjunctive, conjunctive, negation, and pattern operators. In addition, this paper presents a ranking algorithm based on the queries made using our graphical query language. Results show that our proposed ranking algorithm significantly outperforms three state-of-the-art ranking algorithms and that users prefer our graphical query language over a text-based alternative. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：32 / 52

页数：21

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