Ontology Population from Web Product Information

被引：2

作者：

Vandic, Damir ^{[1
]}

Nederstigt, Lennart J. ^{[1
]}

Aanen, Steven S. ^{[1
]}

Frasincar, Flavius ^{[1
]}

Hogenboom, Frederik ^{[1
]}

机构：

[1] Erasmus Univ, POB 1738, NL-3000 DR Rotterdam, Netherlands

来源：

WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2014年

关键词：

Ontology population; product information; key matching;

D O I：

10.1145/2567948.2577322

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the vast amount of information available on the Web, there is an increasing need to structure Web data in order to make it accessible to both users and machines. E-commerce is one of the areas in which growing data congestion on the Web has serious consequences. This paper proposes a framework that is capable of populating a product ontology using tabular product information from Web shops. By formalizing product information in this way, better product comparison or recommendation applications could be built. Our approach employs both lexical and syntactic matching for mapping properties and instantiating values. The performed evaluation shows that instantiating consumer electronics from Best Buy and Newegg.com results in an F-1 score of approximately 77%.

引用

页码：391 / 392

页数：2

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