1.

Record Nr.

UNINA9910782332603321

Titolo

Ontology learning and population [[electronic resource] ] : bridging the gap between text and knowledge / / edited by Paul Buitelaar and Philipp Cimiano

Pubbl/distr/stampa

Amsterdam, : Ios Press, 2008

ISBN

6611733558

1-281-73355-5

9786611733551

1-60750-296-8

600-00-0509-1

1-4337-1130-3

Descrizione fisica

1 online resource (292 p.)

Collana

Frontiers in artificial intelligence and applications ; ; v. 167

Altri autori (Persone)

BuitelaarPaul

CimianoPhilipp

Disciplina

006.33

Soggetti

Artificial intelligence

Expert systems (Computer science)

Information retrieval

Knowledge acquisition (Expert systems)

Machine learning

Natural language processing (Computer science)

Ontology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Title page; On the ""Ontology"" in Ontology Learning; Foreword; Contents; Extracting Terms and Synonyms; Taxonomy and Concept Learning; Learning Relations; Ontology Population; Methodology; Evaluation; Author Index

Sommario/riassunto

The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will



allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee