Transformation of Urban Knowledge Sources to Ontologies

[en] Since the development of ontologies from scratch requires much time and many resources, the activity of knowledge acquisition constitutes one of the most impor- tant steps at the beginning of the ontology development process. This activity is essential in all the different methodologies for ontology design as a previous step to the conceptualization and formalization phases. And as its name indicates, this activity is devoted to gather all available knowledge resources describing the domain of the ontology and identify the most important terms in the domain. This chapter is focused on the study of methods and techniques for the (semi-) automatic processing of knowledge resources that may alleviate the work of knowledge acquisition. This task is known as ontology learning in the literature of ontological engineering. The aim of ontology learning is to apply the most appropriate methods to transform unstructured (e.g., text corpora), semi-structured (e.g., folksonomies, HTML pages) and structured data sources (e.g., databases, thesauri) into conceptual structures. The methods of ontology learning are usually connected with the activity of ontology population, which also relies on (semi-)automatic methods to transform unstruc- tured, semi-structured and structured data sources into instance data (i.e., instances of ontology concepts).

Research Center/Unit :

LEMA-Local Environment Management and Analysis
Lepur : Centre de Recherche en Sciences de la Ville, du Territoire et du Milieu rural

Disciplines :

Architecture

Author, co-author :

Nogueras-Iso, Javier

Lacasta, Javier

Teller, Jacques ; Université de Liège - ULiège > Département Argenco : Secteur TLU+C > Urbanisme et aménagement du territoire

Falquet, Gilles

Guyot, Jacques

Language :

English

Title :

Transformation of Urban Knowledge Sources to Ontologies

Publication date :

2011

Main work title :

Ontologies in Urban Development Projects

Editor :

Falquet, Gilles

Métral, Claudine

Teller, Jacques ; Université de Liège - ULiège > Département ArGEnCo > Urbanisme et aménagement du territoire

Tweed, Chris

Publisher :

Springer, Heidelberg, Germany

ISBN/EAN :

978-0-85729-724-2

Collection name :

Advanced Information and Knowledge Processing

Pages :

153-166

Additional URL :

http://www.springerlink.com/content/mm1823426338k102/fulltext.html

Name of the research project :

Towntology

Funders :

ESF - European Science Foundation

Available on ORBi :

since 02 September 2011

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