MENTOR: an enabler for interoperable intelligent systemsFootnote

^1. Based on ‘MENTOR – A Methodology for Enterprise Reference Ontology Development’, by J. Sarraipa, J.P.M.A. Silva, R. Jardim-Gonçalves and A.A.C. Monteiro, which appeared in the Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08, pp. 6-32–6-40.

References

• Arms , W. 2000 . Lexicon definition after Digital Libraries , Edited by: Arms , William . Cambridge : M.I.T. Press .
   Google Scholar
• Bechhofer , S. 2004 . Tackling the ontology acquisition bottleneck: an experiment in ontology re-engineering . Available from http://citeseerx.ist.psu.edu/viewdoc/summary?doi = 10.1.1.3.2350 [Access April 2010].
   Google Scholar
• Bézivin, J., Jouault, F. and Valduriez, P., 2004. An Eclipse-based IDE for the ATL model transformation language, Research Report LINA, (04.08)
   Google Scholar
• Borgo, S., et al., 2002. Ontology roadmap, Retrieved at June 2009 from the web: http://wonderweb.semanticweb.org/deliverables/documents/D15.pdf
   Google Scholar
• Brent , Michael R. and Cartwright , Timothy A. 2002 . “ Distribution regularity and phonotactic constraints are useful for segmentation ” . In Psycholinguistics: critical concepts in psychology , Edited by: Gerry , A. Abingdon, UK : Routledge .
   Google Scholar
• Donini , F.M. 1991 . A hybrid system with datalog and concept languages: trends in artificial intelligence , New York : Springer Verlag .
   Google Scholar
• Gómez-Pérez, A., Fernández-López, M. and Corcho, O., 2002. Technical Roadmap D.1.1.2. OntoWeb Consortium
   Google Scholar
• Gómez-Pérez, A., Fernández-López, M. and Corcho, O., 2004. Ontological Engineering: methodologies and tools, The Second European Summer School on Ontological Engineering and the Semantic Web (SSSW-2004)
   Google Scholar
• Gruber , T.R. 1993 . A translation approach to portable ontology specifications . Journal of knowledge acquisition , 5 ( 2 ) : 199 – 220 .
   Web of Science ®Google Scholar
• Guarino, N. and Schneider, L., 2002. Ontology-driven conceptual modeling, Lecture Notes In Computer Science, Retrived from web: ‘ http://www.loa-cnr.it/Tutorials/GuarinoERTutorialPart1.pdf ’ at June 2009
   Google Scholar
• Hayek , F. 1945 . The use of knowledge in society . The American economic review , 35 ( 4 ) : 519 – 530 .
   Web of Science ®Google Scholar
• IEEE Computer Society, New York –USA, 1995. IEEE Guide for Software Quality Assurance Planning. Std. 730.1-1995
   Google Scholar
• Jardim-Goncalves , R. , Figay , N. and Steiger-Garcao , A. 2006a . Enabling interoperability of STEP application protocols at meta-data and knowledge level . International journal of technology management , 36 ( 4 ) : 402 – 421 .
   Web of Science ®Google Scholar
• Jardim-Goncalves, R., Grilo, A. and Steiger-Garcao, A., 2006b. Challenging the interoperability between computers in industry with MDA and SOA, Computers in Industry, Elsevier
   Google Scholar
• Jardim-Goncalves , R. 2004 . “ Ontology-based framework for enhanced interoperability in networked industrial environments ” . In 11th IFAC symposium on information control problems in manufacturing – INCOM 2004 Salvador, Brazil
   Google Scholar
• Jardim-Goncalves , R. 2007 . “ Framework for enhanced interoperability through ontological harmonisation of enterprise product models ” . In Ontologies: a handbook of principles, concepts and applications , Integrated Series in Information Systems Vol. 14-2007, XXIV, 915 p., 245 illus. ISBN: 978-0-387-37019-4
   Google Scholar
• Kalfoglou , Y. and Schorlemmer , M. 2003 . Ontology mapping: the state of the art . The knowledge engineering review , 18 ( 1 ) : 1 – 31 .
   Web of Science ®Google Scholar
• Kasabov , N. and Filev , D. Evolving intelligent systems: methods, learning, & applications . pp. 8 – 18 . Proc. Int. Symposium on Evolving Fuzzy Systems,
   Google Scholar
• Maedche , A. and Staab , S. 2001 . Ontology learning for the semantic web . IEEE intelligent systems , 16 ( 2 ) : 72 – 79 .
   Web of Science ®Google Scholar
• Maedche , A. 2003 . Ontologies for enterprise knowledge management . IEEE intelligent systems , 18 ( 2 ) : 26 – 33 .
   Google Scholar
• Man-Sze Li, et al., 2006. Enterprise Interoperability Research Roadmap, European Commission, Final Version (Version 4.0) 31 July 2006
   Google Scholar
• Menzel , C. 2003 . “ Reference ontologies – application ontologies: either/or or both/and? ” . In Proceedings of the KI2003 workshop on Reference Ontologies and Application Ontologies 16 September 2003
   Google Scholar
• Meystel , A.M. and Albus , J.S. 2001 . Intelligent systems: architecture, design, and control , New York : John Wiley and Sons .
   Google Scholar
• Mika, P. and Akkermans, H., 2003. D1.2 Analysis of the state-of-the-art in ontology-based knowledge management, In: SWAP EU IST-2001-34103 Project Deliverable D1.2 (WP1)
   Google Scholar
• Missikoff, M., et al., 2004. D8.1 – State of the art and state of the practice including initial possible research orientations, INTEROP Project, n° IST 508-011
   Google Scholar
• Mueller , H.A. 2000 . “ Reverse engineering: a roadmap ” . In Proc. Int. Conf. Software Eng. (ICSE-00) , 47 – 60 . New York : ACM Press .
   Google Scholar
• Navigli , R. and Velardi , P. 2004 . Learning domain ontologies from document warehouses and dedicated web sites . Computational linguistics , 30 ( 2 ) : 151 – 179 .
   Web of Science ®Google Scholar
• Nicola , A. , Missikoff , M. and Navigli , R. 2005 . “ A proposal for a unified process for ontology building: UPON ” . In Proceedings of 16th international conference on Database and Expert Systems Applications (DEXA) , 655 – 664 . Berlin : Springer . Denmark, LNCS no. 3588
   Google Scholar
• Noy, N. and McGuinness, D., 2002. Ontology development 101: a guide to creating your first ontology', Stanford knowledge Systems Laboratory Technical Report, KSL-01-05 and Stanford, MIT-R SMI-2001-0880
   Google Scholar
• Panetto , H. , Jardim-Gonçalves , R. and Pereira , C. 2006 . E-Manufacturing and web-based technology for intelligent manufacturing and networked enterprise . Journal of intelligent manufacturing , 17 ( 6 ) : 639 – 640 .
   Web of Science ®Google Scholar
• Pinto , H.S. , Gómez-Pérez , A. and Martins , J.P. 1999 . “ Some issues on ontology integration ” . In Proceedings of IJCAI99's workshop on Ontologies and problem solving methods: lessons learned and future trends pp. 7.1–7.12
   Google Scholar
• Saridis , G.N. and Valavanis , K.P. 1988 . Analytical design of intelligent machines . Automatica , 24 ( 2 ) : 123 – 133 .
   Web of Science ®Google Scholar
• Sarraipa , J. 2007 . “ Annotation for enterprise information management traceability ” . In Proceedings of IDETC/CIE ASME
   Google Scholar
• Sarraipa , J. MENTOR – A Methodology for Enterprise Reference Ontology Development . In: 2008 4th International IEEE Conference on Intelligent Systems, pp. 6-32 – 6-40
   Google Scholar
• Tsarkov, D. and Horrocks, I., 2003. DL reasoner vs. first-order prover. In Proc. of the 2003 Description Logic Workshop (DL 2003), volume 81 of CEUR ( http://ceur-ws.org/ ), pages 152–159
   Google Scholar
• Zadeh , L.A. 1994 . Fuzzy logic, neural networks, and soft computing . Communications to the ACM , 37 ( 3 ) : 77 – 84 . ISSN:0001-0782
   Web of Science ®Google Scholar