Ontologies, Different Reasoning Strategies, Different Logics, Different Kinds of Knowledge Representation: Working Together

Bosch, Mela Ontologies, Different Reasoning Strategies, Different Logics, Different Kinds of Knowledge Representation: Working Together. Knowledge Organization, 2006, vol. Vol. 3, n. num 3,, pp. 153-159. [Journal article (Paginated)]

[thumbnail of BoschOntologies,_Different_Reasoning_Strategies,_Different_Logics,_Different_Kinds_of_Knowledge_Representation.pdf]
Preview
 PDF
BoschOntologies,_Different_Reasoning_Strategies,_Different_Logics,_Different_Kinds_of_Knowledge_Representation.pdf
Download (271kB) | Preview

English abstract

The recent experiences in the building, maintenance and reuse of ontologies has shown that the most efficient approach is the collaborative one. However, communication between collaborators such as IT professionals, librarians, web designers and subject matter experts is difficult and time consuming. This is because there are different reasoning strategies, different logics and different kinds of knowledge representation in the applications of Semantic Web. This article intends to be a reference scheme. It uses concise and simple explanations that can be used in common by specialists of different backgrounds working together in an application of Semantic Web.

Spanish abstract

Las experiencias recientes en la construcción , mantenimiento y reutilización de ontologías han demostrado que el enfoque más eficiente es el de colaboración. Sin embargo, la comunicación entre los colaboradores tales como los profesionales IT, los bibliotecarios, los diseñadores web y los expertos en diferentes temas, es difícil y consume demasiado tiempo. Esto es porque hay diversas estrategias de razonamiento, diversas lógicas y diversas clases de representación del conocimiento en las aplicaciones del Web semántico. Este artículo se prepone ser un esquema de referencia. Utiliza explicaciones sucintas y simples que se pueden utilizar en común por los especialistas de diversos trasfondos cognitivos que trabajan juntas en un uso del Web semántico.

Item type: Journal article (Paginated)
Keywords: Knowledge Representation, Multidisciplinary Approach, Ontologies, Semantic Web, Enfoque Multidisciplinario, Ontologías, Representación del Conocimiento, Web Semántica
Subjects: I. Information treatment for information services > ID. Knowledge representation.
Depositing user: Mela Bosch
Date deposited: 18 May 2007
Last modified: 02 Oct 2014 12:07
URI: http://hdl.handle.net/10760/9557

References

Bosch, Mela. 2001. Documentos y lenguaje de marcado: conceptos, problemas y tendencias (Documents and markup language: concepts, problems and trends). El profesional de la información, 10, (11): 4-9.

Bryan, Martin. 1998. SGML An author guide. New York: Addison Wesley.

Davis, Randall; Shrobe, Howard; Szolovits, Peter. 1993. What is a Knowledge Representation? AI Magazine, 14(1):17-33. http://groups.csail.mit.edu/medg/ftp/psz/k-rep.html

Díaz, Alicia. 2005. CO-Protégé: A Groupware Tool for Supporting Collaborative Ontology Design with Divergence. Lifia, Fac. Informática- UNLP, La Plata, Argentina- Loria, Campus Scientifique, Vandœuvre-lès-Nancy cedex, France. http://protege.stanford.edu/conference/2005/slides/6.2_A.Diaz_Co-Protege_slices_and_flyer.pdf.

Gnoli, Claudio and Poli, Roberto. 2004. Levels of Reality and Levels of Representation. Knowledge Organization, 31, (3): 151-160.

Gruber, Tom. .2004. Interview. In: http://www.sigsemis.org/newsletter/october2004/tom_gruber_interview_sigsemis

Hodgson, Ralph and Keller, Paul. 2005. Collaborative Ontology-Based Systems. Innovator Perspectives and Demonstrations of New Open Standards and Technologies in Support of Ontology Engineered Solutions. TopQuadrant and NASA Ames. Collaborative Expedition Workshop #38, at NSF Semantic Conflict, Mapping, and Enablement: Making Commitments Together: http://www.topquadrant.com/documents/talks/TQ%20Ontology-Based%20Collaborative%20Environments%20(v4).pdfBased%20Collaborative%20Environments%20(v4).pdf

Institut für Informatik, Freie Universität Berlin. (2005) Ontology Engineering Cost Estimation with ONTOCOM. http://ontocom.ag-nbi.de//index.html

ISO 8879:1986. Information processing. Text and office systems. Standard Generalized Markup Language (SGML) JTC 1/SC 34; ISO Standards 35.240.30.

Lambrix, Patrick. 2003. Description Logic. Document of : Intelligent Information Systems Laboratory, Department of Computer and Information Science, Linköping University, S-581 83 Linköping, Sweden: http://www.ida.liu.se/labs/iislab/people/patla/DL/index.html

Lassila, Ora and McGuinness, Deborah. 2001. The Role of Frame-Based Representation

on the Semantic Web. Software Technology Laboratory, Nokia Research Center

2Knowledge Systems Laboratory, Stanford University. http://www.ida.liu.se/ext/epa/ej/etai/2001/018/01018-etaibody.pdf

Noy, Natalya F. and McGuinness, Deborah. 2001. Ontology Development 101: A Guide to Creating Your First Ontology. Stanford University: http://protege.stanford.edu/publications/ontology_development/ontology101-noy-mcguinness.html

Rumbaugh, James; Blaha, Michael; Premerlani, William; Eddy, Frederick; Lorensen, William. 1991. Object Oriented Modeling and Design. Prentice Hall, ISBN 0-13-629841-9


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item
Contact us
Send email Sponsors
Sponsor: AIMS Sponsor: D&P Sponsor: UniNa CAB Get connected
Facebook Facebook Twitter Twitter Linkedin LinkedIn RSS RSS