A Comparison of Semantic Annotation Systems for Text-Based Web Documents

A Comparison of Semantic Annotation Systems for Text-Based Web Documents

Lawrence Reeve (Drexel University, USA) and Hyoil Han (Drexel University, USA)
Copyright: © 2006 |Pages: 24
DOI: 10.4018/978-1-59140-905-2.ch006
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

The Semantic Web promises new as well as extended applications, such as concept searching, custom Web page generation, and question-answering systems. Semantic annotation is a key component for the realization of the Semantic Web. The volume of existing and new documents on the Web makes manual annotation problematic. Semi-automatic semantic annotation systems, which we call platforms because of their extensibility and composability of services, have been designed to alleviate this burden for text-based Web documents. These semantic annotation platforms provide services supporting annotation, including ontology and knowledge base access and storage, information extraction, programming interfaces, and end-user interfaces. This chapter defines a framework for examining semantic annotation platform differences based on platform characteristics, surveys several recent platform implementations, defines a classification scheme based on information extraction method used, and discusses general platform architecture.

Complete Chapter List

Search this Book:
Reset