Métodos de integración de datos basados en ontologías: un marco para la comparación
Un sistema de integración de datos proporciona una interfaz uniforme para fuentes distribuidas y heterogéneas. Estas Las fuentes pueden ser bases de datos, así como información no estructurada, como archivos, páginas HTML, etc. Una de las más Un problema importante dentro de la integración de datos...
- Autores:
-
Buccell, Agustina
Cechich, Alejandra
Brisaboa, Nieves R.
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2005
- Institución:
- Universidad Autónoma de Bucaramanga - UNAB
- Repositorio:
- Repositorio UNAB
- Idioma:
- spa
- OAI Identifier:
- oai:repository.unab.edu.co:20.500.12749/9026
- Acceso en línea:
- http://hdl.handle.net/20.500.12749/9026
- Palabra clave:
- Innovaciones tecnológicas
Ciencia de los computadores
Desarrollo de tecnología
Ingeniería de sistemas
Investigaciones
Tecnologías de la información y las comunicaciones
TIC´s
Technological innovations
Computer science
Technology development
Systems engineering
Investigations
Information and communication technologies
ICT's
Data integration
Ontology
Semantic heterogeneity
Innovaciones tecnológicas
Ciencias de la computación
Ingeniería de sistemas
Investigación
Tecnologia de la informacion y comunicacion
Desarrollo tecnológico
Integración de datos
Ontología
Heterogeneidad semántica
- Rights
- License
- Derechos de autor 2005 Revista Colombiana de Computación
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dc.title.spa.fl_str_mv |
Métodos de integración de datos basados en ontologías: un marco para la comparación |
dc.title.translated.eng.fl_str_mv |
Ontology-based data integration methods: a framework for comparison |
title |
Métodos de integración de datos basados en ontologías: un marco para la comparación |
spellingShingle |
Métodos de integración de datos basados en ontologías: un marco para la comparación Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Data integration Ontology Semantic heterogeneity Innovaciones tecnológicas Ciencias de la computación Ingeniería de sistemas Investigación Tecnologia de la informacion y comunicacion Desarrollo tecnológico Integración de datos Ontología Heterogeneidad semántica |
title_short |
Métodos de integración de datos basados en ontologías: un marco para la comparación |
title_full |
Métodos de integración de datos basados en ontologías: un marco para la comparación |
title_fullStr |
Métodos de integración de datos basados en ontologías: un marco para la comparación |
title_full_unstemmed |
Métodos de integración de datos basados en ontologías: un marco para la comparación |
title_sort |
Métodos de integración de datos basados en ontologías: un marco para la comparación |
dc.creator.fl_str_mv |
Buccell, Agustina Cechich, Alejandra Brisaboa, Nieves R. |
dc.contributor.author.spa.fl_str_mv |
Buccell, Agustina Cechich, Alejandra Brisaboa, Nieves R. |
dc.contributor.googlescholar.spa.fl_str_mv |
Buccell, Agustina [ZN2HL1AAAAAJ] Cechich, Alejandra [HutJAtsAAAAJ] Brisaboa, Nieves R. [-sCLLPEAAAAJ] |
dc.contributor.orcid.spa.fl_str_mv |
Cechich, Alejandra [0000-0003-4804-6270] Brisaboa, Nieves R. [0000-0001-8025-3048] |
dc.contributor.researchgate.spa.fl_str_mv |
Cechich, Alejandra [Alejandra-Cechich] Brisaboa, Nieves R. [Nieves-Brisaboa-2] |
dc.subject.none.fl_str_mv |
Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s |
topic |
Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Data integration Ontology Semantic heterogeneity Innovaciones tecnológicas Ciencias de la computación Ingeniería de sistemas Investigación Tecnologia de la informacion y comunicacion Desarrollo tecnológico Integración de datos Ontología Heterogeneidad semántica |
dc.subject.keywords.eng.fl_str_mv |
Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Data integration Ontology Semantic heterogeneity |
dc.subject.lemb.spa.fl_str_mv |
Innovaciones tecnológicas Ciencias de la computación Ingeniería de sistemas Investigación Tecnologia de la informacion y comunicacion |
dc.subject.proposal.spa.fl_str_mv |
Desarrollo tecnológico Integración de datos Ontología Heterogeneidad semántica |
description |
Un sistema de integración de datos proporciona una interfaz uniforme para fuentes distribuidas y heterogéneas. Estas Las fuentes pueden ser bases de datos, así como información no estructurada, como archivos, páginas HTML, etc. Una de las más Un problema importante dentro de la integración de datos es la heterogeneidad semántica, que analiza el significado de términos incluidos en las diferentes fuentes de información. Esta encuesta describe siete sistemas y tres propuestas para la integración de datos basada en ontologías. Una característica importante es que todos ellos utilizan, de alguna manera, ontologías como la forma de resolver problemas de heterogeneidad semántica. En este artículo mostramos similitudes y diferencias entre los sistemas proporcionando un marco de comparación y clasificación. |
publishDate |
2005 |
dc.date.issued.none.fl_str_mv |
2005-06-01 |
dc.date.accessioned.none.fl_str_mv |
2020-10-27T00:21:12Z |
dc.date.available.none.fl_str_mv |
2020-10-27T00:21:12Z |
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Artículo |
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http://purl.org/redcol/resource_type/CJournalArticle |
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2539-2115 1657-2831 |
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http://hdl.handle.net/20.500.12749/9026 |
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https://revistas.unab.edu.co/index.php/rcc/article/view/1068/1040 |
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https://revistas.unab.edu.co/index.php/rcc/article/view/1068 |
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http://hdl.handle.net/20.500.12749/20373 |
dc.relation.references.none.fl_str_mv |
Ambite, J.L., Arens, Y., Ashish, N., Knoblock, C. A. and collaborators. The SIMS Manual 2.0. Technical Report, University of Southern, California. December 22, 1997. http://www.isi.edu/sims/papers/sims-manual.ps. Arens, Y., Hsu, C., Knoblock, C. A. Query processing in the SIMS Information Mediator. Advanced Planning Technology, Austin Tate (Ed.), AAAI Press, Menlo Park, CA, 61-69, 1996. Arens, Y., Hsu, C., Knoblock, C. A. Retrieving and integrating data from multiple information sources. International Journal in Intelligent and Cooperative Information Systems,Vol.2(2), 127-158, 1993. Arruda, L., Baptista, C., Lima, C. MEDIWEB: A Mediator-based environment for data integration on the web. Databases and Information Systems Integration. ICEIS , 34-41, 2002. Baru C. Features and Requirements for an XML View Definition Language: Lessons from XML Information Mediation. In: W3CWorkshop on Query Language(QL´98), Boston, 1998. Bass, L., Clements, P., Kazmar, R. Software Architecture in Practice. Addison-Wesley. 1998. Bassiliades, N. and Gray, P. M. D. CoLan: A functional constraint language and its implementation, Data and Knowledge Engineering, 14, 203–249, 1994. Bayardo Jr., R. J., Bohrer, W., Brice, R., Cichocki, A., Fowler, J., Helal, A., Kashyap, V., Ksiezyk, T., Martin, G., Nodine, M., Rashid, M., Rusinkiewicz, M., Shea, R., Unnikrishnan, C., Unruh, A. and Woelk, D. InfoSleuth: Agent-Based Semantic Integration of Information in Open and Dynamic Environments. Microelectronics and Computer Technology Corporation (MCC). Borgida, A., Brachman, R.J., McGuinness, D.L., and Resnick, L.A. CLASSIC: A structural data model for objects. In Proceedings ACM SIGMOD-89, Portland, Oregon, 1989. Busse, S., Kutsche, R. D., Leser, U. & Weber H. (1999). Federated Information Systems: Concepts, Terminology and Architectures. Technical Report. Nr. 99-9, TU Berlin. Chakravarthy, U. S., Grant, J., and Minker, J. Logic-based approach to semantic query optimization. ACM Trans. Database Syst. Vol.15(2), 162–207, 1990. Corcho, O. and Gomez-Perez, A. Evaluating knowledge representation and reasoning capabilities of ontology specification languages. In Proceedings of the ECAI 2000 Workshop on Applications of Ontologies and Problem-Solving Methods, Berlin, 2000. Cui, Z., Jones, D. and O’Brien, P. Issues in Ontology -based Information Integration. IJCAI 2001– Seattle, USA • August 5 2001. Cui, Z. and O’Brien, P. Domain Ontology Management Environment. In Proceedings of the 33rd Hawaii International Conference on System Sciences. 2000. DAML+OIL 2001: Available at:http://www.daml.org/2001/03/daml+oil-index. Deschaine, L., M., Brice, R., S., Nodine, M., H. Use of InfoSleuth to Coordinate Information Acquisition, Tracking and Analysis in Complex Applications. Technical Report MCC-INSL-008-00. 2000. Firat, A., Madnick, S., Grosof, B. Knowledge integration to overcome ontological heterogeneity: challenges from financial information systems. Twenty-Third International Conference on Information Systems. 2002. Goh, C.H., Bressan, S., Siegel, M. and Madnick, S. E. Context Interchange: New Features and Formalisms for the Intelligent Integration of Information. ACM Transactions on Information Systems, Vol. 17(3), 270–293,1999. Gray, P.M.D, Preece, A., Fiddian, N.J. and colab. KRAFT: Knowledge Fusion from Distributed Databases and Knowledge Bases, Proceedings of 8th International Workshop on database and Expert Systems Applications (DEXA'97). 1997. Gruber, T. A translation approach to portable ontology specifications. Knowledge Acquisition 1993 –Vol.5(2), 199–220, 1993. Hsu, C. and Knoblock, C. A. Using Inductive learning to generate rules for semantic query optimization. In Piatetsky -Shapiro, G., Fayyad, U., Symyth, P. and Uthurusamy, R. editors, Advances in Knowledge Discovery and Data Mining, chapter 17. AAAI Press, 1996. Kakas, A. C., Kowalski, R. A., and Toni, F. .Abductive Logic Programming,. Journal of Logic and Computation. Vol.2(6), 719-770, 1993. Kifer, M., Lausen, G., and Wu, J. Logical foundations of object-oriented and frame-based languages. Journal of ACM, Vol.42(4), 741–843, 1995. Kitchenham, B. DESMET: A method for evaluating Software Engineering methods and tools Technical Report TR96-09. Department of Computer Science, University of Keele, Staffordshire. August 1996. Lange, D., Oshima, M. Programming and Deploying Java Mobile Agents with Aglets. Addison-Wesley, 1998. Lassila O., R.R. Swick,. Resource Description Framework (RDF) Modeland Syntax Specification. W3C Recommendation, February 22, 1999. . MacGregor, R. Inside the LOOM classifier. SIGART bulletin. Nº 2(3), 70-76, 1991. MCC Carnot Project, http://www.mcc.com/projects/carnot Medcraft, P., Schiel, U., Baptista, P. DIA: Data Integration Using Agents. Databases and Information Systems Integration. ICEIS, 79-86, 2003. Mena, E., Kashyap, V., Sheth, A. and Illarramendi, A. Observer: An approach for query processing in global information systems based on interoperation across pre-existing ontologies. Kluwer Academic Publishers, Boston. http://citeseer.nj.nec.com/mena96observer.html, 1-49, 2000. Mena, E., Kashyap, V., Sheth, A. and Illarramendi, A. Managing Multiple Information Sources through Ontologies: Relationship between Vocabulary Heterogeneity and Loss of Information. In Proceedings of Knowledge Representation Meets Databases (KRDB’96), ECAI’96 conference, Budapest, Hungary, 50-52, 1996. Nam, Y. & Wang, A. (2002). Metadata Integration Assistant Generator for Heterogeneous Distributed Databases. In Proceedings International Conference on Ontologies, Databases, and Applications of Semantics for Large Scale Information Systems, Irvine CA, 28-30. Preece, A., Hui, K., Gray, P. KRAFT: Supporting Virtual Organisations through Knowledge Fusion. Artificial Intelligence for Electronic Commerce: Papers from the AAAI-99 Workshop, Technical Report WS-99-01, AAAI Press, 33-38, 1999. Preece, A., Hui, K., Gray, A., Jones, D., Cui, Z. The KRAFT Architecture for Knowledge Fusion and Transformation. In 19th SGES International Conference on Knowledgebased Systems and Applied Artificial Intelligence (ES'99), Berlin. Springer. Siegel, M. and Madnick, S. E. A metadata approach to resolving semantic conflicts. In Proceedings of the 17th Conference on Very Large Data Bases (Barcelona, Spain, Sept.). VLDB Endowment 1991, Berkeley, CA, 133– 145, 1991. Tzitzikas, Y., Spyratos, N., Constantopoulos, P. Mediators over Ontology -based Information Sources. Proceedings of the Second International Conference on Web Information Systems Engineering (WISE’02).IEEE 2002. Visser, P. R. S., Jones, D. M., Bench-Capon, T. J. M. and Shave, M. J. R. Assessing heterogeneity by classifying ontology mismatches. In Proceedings of the International Conference on Formal Ontology in Information Systems (FOIS’98), IOS Press, 148–162, 1998. Wache, H., Vögele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H. and Hübner, S. Ontology - based Integration of Information - A Survey of Existing Approaches. In: Proceedings of IJCAI-01 Workshop: Ontologies and Information Sharing, Seattle, WA, 108-117, 2001. Woelk, D., P. Cannata, M. Huhns, W. Shen, and C. Tomlinson. Using Carnot for Enterprise Information Integration. Second International Conf. Parallel and Distributed Information Systems. January, 133-136, 1993. Woelk, P., Kim, W. And Lee, W. Query Processing in Distributed ORION. International Conference on Extending Datadase Technology, 169-187, March, 1990. Woelk, D. and C. Tomlinson. The InfoSleuth Project: Intelligent Search Management via Semantic Agents. MCC Tech. Report, Sept., 1994. Also available in the Electronic Proceedings of the Second World Wide Web Conference ‘94 at http://www.ncsa.uiuc.edu/SDG/IT94/Proceedings/Searching/woelk/woelk.html. Yang,H. Cui, Z. and OBrien, P., Extracting Ontologies from Legacy Systems for Understanding and Reengineering. IEEE International Conference on Computer Software and Applications, 1999. Zaniolo, C. The Logical Data Language (LDL): An Integrated Approach to Logic and Databases. MCC Technical Report STP-LD-328-91, 1991. |
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Buccell, Agustinac3283a93-7e54-4565-b051-39cbaa76ec2dCechich, Alejandra5389a2c0-4a80-47bd-a195-09544e99e17aBrisaboa, Nieves R.0fa51995-9999-4c1c-b00a-0439ce207f00Buccell, Agustina [ZN2HL1AAAAAJ]Cechich, Alejandra [HutJAtsAAAAJ]Brisaboa, Nieves R. [-sCLLPEAAAAJ]Cechich, Alejandra [0000-0003-4804-6270]Brisaboa, Nieves R. [0000-0001-8025-3048]Cechich, Alejandra [Alejandra-Cechich]Brisaboa, Nieves R. [Nieves-Brisaboa-2]2020-10-27T00:21:12Z2020-10-27T00:21:12Z2005-06-012539-21151657-2831http://hdl.handle.net/20.500.12749/9026instname:Universidad Autónoma de Bucaramanga UNABrepourl:https://repository.unab.edu.coUn sistema de integración de datos proporciona una interfaz uniforme para fuentes distribuidas y heterogéneas. Estas Las fuentes pueden ser bases de datos, así como información no estructurada, como archivos, páginas HTML, etc. Una de las más Un problema importante dentro de la integración de datos es la heterogeneidad semántica, que analiza el significado de términos incluidos en las diferentes fuentes de información. Esta encuesta describe siete sistemas y tres propuestas para la integración de datos basada en ontologías. Una característica importante es que todos ellos utilizan, de alguna manera, ontologías como la forma de resolver problemas de heterogeneidad semántica. En este artículo mostramos similitudes y diferencias entre los sistemas proporcionando un marco de comparación y clasificación.A data integration system provides a uniform interface to distributed and heterogeneous sources. These sources can be databases as well as unstructured information such as files, HTML pages, etc. One of the most important problems within data integration is the semantic heterogeneity, which analyzes the meaning of terms included in the different information sources. This survey describes seven systems and three proposals for ontology -based data integration. An important feature is that all of them use, in some way, ontologies as the way to solve problems about semantic heterogeneity. In this paper, we show similarities and differences among the systems by providing a framework for comparison and classification.application/pdfspaUniversidad Autónoma de Bucaramanga UNABhttps://revistas.unab.edu.co/index.php/rcc/article/view/1068/1040https://revistas.unab.edu.co/index.php/rcc/article/view/1068http://hdl.handle.net/20.500.12749/20373Ambite, J.L., Arens, Y., Ashish, N., Knoblock, C. A. and collaborators. The SIMS Manual 2.0. Technical Report, University of Southern, California. December 22, 1997. http://www.isi.edu/sims/papers/sims-manual.ps.Arens, Y., Hsu, C., Knoblock, C. A. Query processing in the SIMS Information Mediator. Advanced Planning Technology, Austin Tate (Ed.), AAAI Press, Menlo Park, CA, 61-69, 1996.Arens, Y., Hsu, C., Knoblock, C. A. Retrieving and integrating data from multiple information sources. International Journal in Intelligent and Cooperative Information Systems,Vol.2(2), 127-158, 1993.Arruda, L., Baptista, C., Lima, C. MEDIWEB: A Mediator-based environment for data integration on the web. Databases and Information Systems Integration. ICEIS , 34-41, 2002.Baru C. Features and Requirements for an XML View Definition Language: Lessons from XML Information Mediation. In: W3CWorkshop on Query Language(QL´98), Boston, 1998.Bass, L., Clements, P., Kazmar, R. Software Architecture in Practice. Addison-Wesley. 1998.Bassiliades, N. and Gray, P. M. D. CoLan: A functional constraint language and its implementation, Data and Knowledge Engineering, 14, 203–249, 1994.Bayardo Jr., R. J., Bohrer, W., Brice, R., Cichocki, A., Fowler, J., Helal, A., Kashyap, V., Ksiezyk, T., Martin, G., Nodine, M., Rashid, M., Rusinkiewicz, M., Shea, R., Unnikrishnan, C., Unruh, A. and Woelk, D. InfoSleuth: Agent-Based Semantic Integration of Information in Open and Dynamic Environments. Microelectronics and Computer Technology Corporation (MCC).Borgida, A., Brachman, R.J., McGuinness, D.L., and Resnick, L.A. CLASSIC: A structural data model for objects. In Proceedings ACM SIGMOD-89, Portland, Oregon, 1989.Busse, S., Kutsche, R. D., Leser, U. & Weber H. (1999). Federated Information Systems: Concepts, Terminology and Architectures. Technical Report. Nr. 99-9, TU Berlin.Chakravarthy, U. S., Grant, J., and Minker, J. Logic-based approach to semantic query optimization. ACM Trans. Database Syst. Vol.15(2), 162–207, 1990.Corcho, O. and Gomez-Perez, A. Evaluating knowledge representation and reasoning capabilities of ontology specification languages. In Proceedings of the ECAI 2000 Workshop on Applications of Ontologies and Problem-Solving Methods, Berlin, 2000.Cui, Z., Jones, D. and O’Brien, P. Issues in Ontology -based Information Integration. IJCAI 2001– Seattle, USA • August 5 2001.Cui, Z. and O’Brien, P. Domain Ontology Management Environment. In Proceedings of the 33rd Hawaii International Conference on System Sciences. 2000.DAML+OIL 2001: Available at:http://www.daml.org/2001/03/daml+oil-index.Deschaine, L., M., Brice, R., S., Nodine, M., H. Use of InfoSleuth to Coordinate Information Acquisition, Tracking and Analysis in Complex Applications. Technical Report MCC-INSL-008-00. 2000.Firat, A., Madnick, S., Grosof, B. Knowledge integration to overcome ontological heterogeneity: challenges from financial information systems. Twenty-Third International Conference on Information Systems. 2002.Goh, C.H., Bressan, S., Siegel, M. and Madnick, S. E. Context Interchange: New Features and Formalisms for the Intelligent Integration of Information. ACM Transactions on Information Systems, Vol. 17(3), 270–293,1999.Gray, P.M.D, Preece, A., Fiddian, N.J. and colab. KRAFT: Knowledge Fusion from Distributed Databases and Knowledge Bases, Proceedings of 8th International Workshop on database and Expert Systems Applications (DEXA'97). 1997.Gruber, T. A translation approach to portable ontology specifications. Knowledge Acquisition 1993 –Vol.5(2), 199–220, 1993.Hsu, C. and Knoblock, C. A. Using Inductive learning to generate rules for semantic query optimization. In Piatetsky -Shapiro, G., Fayyad, U., Symyth, P. and Uthurusamy, R. editors, Advances in Knowledge Discovery and Data Mining, chapter 17. AAAI Press, 1996.Kakas, A. C., Kowalski, R. A., and Toni, F. .Abductive Logic Programming,. Journal of Logic and Computation. Vol.2(6), 719-770, 1993.Kifer, M., Lausen, G., and Wu, J. Logical foundations of object-oriented and frame-based languages. Journal of ACM, Vol.42(4), 741–843, 1995.Kitchenham, B. DESMET: A method for evaluating Software Engineering methods and tools Technical Report TR96-09. Department of Computer Science, University of Keele, Staffordshire. August 1996.Lange, D., Oshima, M. Programming and Deploying Java Mobile Agents with Aglets. Addison-Wesley, 1998.Lassila O., R.R. Swick,. Resource Description Framework (RDF) Modeland Syntax Specification. W3C Recommendation, February 22, 1999.. MacGregor, R. Inside the LOOM classifier. SIGART bulletin. Nº 2(3), 70-76, 1991.MCC Carnot Project, http://www.mcc.com/projects/carnotMedcraft, P., Schiel, U., Baptista, P. DIA: Data Integration Using Agents. Databases and Information Systems Integration. ICEIS, 79-86, 2003.Mena, E., Kashyap, V., Sheth, A. and Illarramendi, A. Observer: An approach for query processing in global information systems based on interoperation across pre-existing ontologies. Kluwer Academic Publishers, Boston. http://citeseer.nj.nec.com/mena96observer.html, 1-49, 2000.Mena, E., Kashyap, V., Sheth, A. and Illarramendi, A. Managing Multiple Information Sources through Ontologies: Relationship between Vocabulary Heterogeneity and Loss of Information. In Proceedings of Knowledge Representation Meets Databases (KRDB’96), ECAI’96 conference, Budapest, Hungary, 50-52, 1996.Nam, Y. & Wang, A. (2002). Metadata Integration Assistant Generator for Heterogeneous Distributed Databases. In Proceedings International Conference on Ontologies, Databases, and Applications of Semantics for Large Scale Information Systems, Irvine CA, 28-30.Preece, A., Hui, K., Gray, P. KRAFT: Supporting Virtual Organisations through Knowledge Fusion. 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MCC Technical Report STP-LD-328-91, 1991.Derechos de autor 2005 Revista Colombiana de Computaciónhttp://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-nd/2.5/co/Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://purl.org/coar/access_right/c_abf2Revista Colombiana de Computación; Vol. 6 Núm. 1 (2005): Revista Colombiana de Computación; 1-24Innovaciones tecnológicasCiencia de los computadoresDesarrollo de tecnologíaIngeniería de sistemasInvestigacionesTecnologías de la información y las comunicacionesTIC´sTechnological innovationsComputer scienceTechnology developmentSystems engineeringInvestigationsInformation and communication technologiesICT'sData integrationOntologySemantic heterogeneityInnovaciones tecnológicasCiencias de la computaciónIngeniería de sistemasInvestigaciónTecnologia de la informacion y comunicacionDesarrollo tecnológicoIntegración de datosOntologíaHeterogeneidad semánticaMétodos de integración de datos basados en ontologías: un marco para la comparaciónOntology-based data integration methods: a framework for comparisoninfo:eu-repo/semantics/articleArtículohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/redcol/resource_type/CJournalArticleORIGINAL2005_Articulo_Métodos de integración de datos basados en ontologíasun marco para la comparación.pdf2005_Articulo_Métodos de integración de datos basados en ontologíasun marco para la comparación.pdfArtículoapplication/pdf208096https://repository.unab.edu.co/bitstream/20.500.12749/9026/1/2005_Articulo_M%c3%a9todos%20de%20integraci%c3%b3n%20de%20datos%20basados%20%e2%80%8b%e2%80%8ben%20ontolog%c3%adasun%20marco%20para%20la%20comparaci%c3%b3n.pdff2b7d71aa0377caaf1d54a38c09dd3baMD51open accessTHUMBNAIL2005_Articulo_Métodos de integración de datos basados en ontologíasun marco para la comparación.pdf.jpg2005_Articulo_Métodos de integración de datos basados en ontologíasun marco para la comparación.pdf.jpgIM Thumbnailimage/jpeg9298https://repository.unab.edu.co/bitstream/20.500.12749/9026/2/2005_Articulo_M%c3%a9todos%20de%20integraci%c3%b3n%20de%20datos%20basados%20%e2%80%8b%e2%80%8ben%20ontolog%c3%adasun%20marco%20para%20la%20comparaci%c3%b3n.pdf.jpgcf1e9f142f071f6757c62c798ac967b9MD52open access20.500.12749/9026oai:repository.unab.edu.co:20.500.12749/90262023-07-04 10:09:23.599open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.co |