Learning of Ontologies from the Web: the Analysis of Existent Approaches

The next generation of the Web, called Semantic Web, has to improve the Web with semantic (ontological) page annotations to enable knowledge-level querying and searches. Manual construction of these ontologies will require tremendous efforts that force future integration of machine learning with knowledge acquisition to enable highly automated ontology learning. In the paper we present the state of the-art in the field of ontology learning from the Web to see how it can contribute to the task of semantic Web querying. We consider three components of the query processing system: natural language ontologies, domain ontologies and ontology instances. We discuss the requirements for machine learning algorithms to be applied for the learning of the ontologies of each type from the Web documents, and survey the existent ontology learning and other closely related approaches.

[1]  John W. Lloyd,et al.  Classification of Individuals with Complex Structure , 2000, ICML.

[2]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[3]  Thomas G. Dietterich.  What is machine learning? , 2020, Archives of Disease in Childhood.

[4]  Antonio Badia,et al.  Ontologies , 2001, Springer Berlin Heidelberg.

[5]  Dieter Fensel,et al.  Ontologies: A silver bullet for knowledge management and electronic commerce , 2002 .

[6]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[7]  James A. Hendler,et al.  Ontology-based Induction of High Level Classification Rules , 1997, DMKD.

[8]  Olatz Ansa,et al.  Enriching very large ontologies using the WWW , 2000, ECAI Workshop on Ontology Learning.

[9]  Paul Compton,et al.  Learning Classification taxonomies from a classification knowledge based system , 2000, ECAI Workshop on Ontology Learning.

[10]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[11]  Markus Junker,et al.  Learning for Text Categorization and Information Extraction with ILP , 1999, Learning Language in Logic.

[12]  Matthew P. Evett,et al.  PARKA: a system for massively parallel knowledge representation , 1994 .

[13]  Fernandez Lopez,et al.  Overview Of Methodologies For Building Ontologies , 1999, IJCAI 1999.

[14]  Steffen Staab,et al.  Semi-Automatic Engineering of Ontologies from Text , 2000, ICSE 2000.

[15]  Ian Horrocks,et al.  Knowledge Representation on the Web , 2000, Description Logics.

[16]  Arthur B. Markman,et al.  Knowledge Representation , 1998 .

[17]  Gilles Bisson,et al.  Designing Clustering Methods for Ontology Building - The Mo'K Workbench , 2000, ECAI Workshop on Ontology Learning.

[18]  C. Fellbaum.  An Electronic Lexical Database , 1998 .

[19]  Tom M. Mitchell,et al.  Learning to construct knowledge bases from the World Wide Web , 2000, Artif. Intell..

[20]  M. Fernández-López,et al.  Overview of methodologies for building ontologies , 1999, IJCAI 1999.

[21]  Tim Berners-Lee,et al.  Weaving The Web: The Original Design And Ultimate Destiny of the World Wide Web , 1999 .

[22]  David Fisher,et al.  Issues in inductive learning of domain-specific text extraction rules , 1995, Learning for Natural Language Processing.

[23]  David Faure,et al.  First experiences of using semantic knowledge learned by ASIUM for information extraction task using INTEX , 2000, ECAI Workshop on Ontology Learning.