Title

Extracting Link Chains of Relationship Instances from a Website

Publication Type

Journal Article

Publication Date

10-2006

Abstract

Web pages from a Web site can often be associated with concepts in an ontology, and pairs of Web pages also can be associated with relationships between concepts. With such associations, the Web site can be searched, browsed, or even reorganized based on the concept and relationship labels of its Web pages. In this article, we study the link chain extraction problem that is critical to the extraction of Web pages that are related. A link chain is an ordered list of anchor elements linking two Web pages related by some semantic relationship. We propose a link chain extraction method that derives extraction rules for identifying the anchor elements forming the link chains. We applied the proposed method to two well-structured Web sites and found that its performance in terms of precision and recall is good, even with a small number of training examples.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

Journal of the American Society for Information Science and Technology

Volume

57

Issue

12

First Page

1590

Last Page

1605

ISSN

1532-2882

Identifier

10.1002/asi.20469

Publisher

Wiley

Additional URL

http://dx.doi.org/10.1002/asi.20469