The Internet presents a huge amount of useful information which is usually formatted for its
users, which makes it difficult to extract relevant data from various sources. Therefore, the …

This volume brings together ontology learning, knowledge acquisition and other related
topics. It presents current research in ontology learning, addressing three perspectives. The …

Abstract (LP) 2 is a covering algorithm for adaptive Information Extraction from text (IE). It
induces symbolic rules that insert SGML tags into texts by learning from examples found in a …

Learning Language in Logic - Genic Interaction Extraction Challenge Page 1 Learning
Language in Logic - Genic Interaction Extraction Challenge C. Nédellec CLAIRE.NEDELLEC@JOUY.INRA.FR …

The process of document annotation for the Semantic Web is complex and time consuming,
as it requires a great deal of manual annotation. Information extraction from texts (IE) is a …

A crucial aspect of creating the Semantic Web (SW) is to enable users to create
machinereadable Web content. Emphasis in the research community has till now been put …

For the purposes of this chapter, an information agent can be described as a distributed
system that receives a goal through its user interface, gathers information relevant to this …

Semantic Web markup languages will improve the automated gathering and processing of
information and help integrate multiagent systems with the existing information …

The new frontier of research on Information Extraction from texts is portability without any
knowledge of Natural Language Processing. The market potential is very large in principle …

In the past few years, there has been an exponential increase in the amount of information
available on the World Wide Web. This plethora of information can be extremely beneficial …