Согласование онтологий в групповых рекомендующих системах: полимодельный метод и типовые модели
Ключевые слова:
согласование онтологий, групповые рекомендующие системы, типовые модели,Аннотация
Статья предлагает метод и комплекс типовых моделей для решения проблемы согласования онтологий, обозначенной в предыдущей публикации автора. Предложенный метод объединяет лексический, структурный и семантический подходы. Представленные типовые модели интеграции знаний и согласования элементов онтологий могут существенно ускорить процессы интеграции знаний и согласования онтологий за счет использования схем, основанных на знании типовых решений.Литература
Alasoud, A., Haarslev, V., Shiri, N. An Effective Ontology Matching Technique. Proceedings of the 17th International Symposium ISMIS 2008, 2008, 585-590
Aumueller, D., Do, H., Massmann, S., Rahm, E. Schema and Ontology Matching with COMA++. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, 2005, 906-908
Baatarjav E.-A., Phithakkitnukoon S., Dantu R. Group Recommendation System for Facebook // OTM 2008: Proceedings of On the Move to Meaningful Internet Systems Workshop (2008). LNCS 5333. Springer, 2009, 211 219
Castano, S., Ferrara, A., Montanelli, S. H-Match: an Algorithm for Dynamically Matching Ontologies in Peer-based Systems. Proceedings of the 1st VLDB International Workshop on Semantic Web and Databases, SWDB 2003, 2003
Chen Y.-J., Chen Y.-M., Wu M.-S. An expert recommendation system for product empirical knowledge consultation // ICCSIT2010: The 3rd IEEE International Conference on Computer Science and Information Technology. IEEE, 2010, 23 27
Cruz, I., Antonelli, F., Stroe, C. Efficient Selection of Mappings and Automatic Quality-Driven Combination of Matching Methods. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Doan, A., Madhavan, J., Domingos, P., Halevy, A. Learning to map between ontologies on the semantic web. Proceedings of the 11th international conference on World Wide Web, 662-673, 2002
Doan, A., Hai, D., Jayant, M., Pedro, D., Alon, H. Ontology Matching: A Machine Learning Approach. Handbook on Ontologies in Information Systems. Springer, 2004.
Euzenat J., Shvaiko, P. Self-Organization and identification of Web Communities // IEEE Computer. Vol. 35. No. 3. IEEE, 2002, 66-71
Flake G. W., Lawrence S., Giles C. L., Coetzee F. Group Recommender System for Tourist Activities // EC-Web 2009: Proceedings of E-Commerce and Web Technologies, The 10th International Conference (2009). LNCS 5692. Springer, 2009, 26-37
Garcia I., Sebastia L., Onaindia E., Guzman C. A. Computing Minimal Mappings. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Giunchiglia F., Maltese V., Autayeu A. Computing Minimal Mappings. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Hovy E. Combining and standardizing largescale, practical ontologies for machine trans-lation and other uses. Proceedings of the First International Conference on Language Resources and Evaluation (LREC), 1998, 535-542
Hu W., Jian N., Qu Y., Wang Y. GMO: A Graph Matching for Ontologies. Proceedings of the K-CAP Workshop on Integrating Ontologies, 2005, 43-50
Klein M., Kiryakov W., Ognyanov D., Fensel D. Ontology Versioning and Change Detection on the Web. Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW02, 2002
McGuinness D. L., Fikes R., Rice J., Wilder S. An Environment for Merging and Testing Large Ontologies. Proceedings of the Seventh International Conference on Principles of Knowledge Representation and Reasoning (KR’2000), http://www.ksl.stanford.edu/software/chimaera/ (Accessed 12 May 2012)
Melnik S., Garcia-Molina H., Rahm E. Similarity flooding: a versatile graph matching algorithm and its application to schema matching. Proceedings of the 18th International Conference on Data Engineering, 2002, 117-128
Mitra P., Wiederhold G., Jannink J. Semi-automatic Integration of Knowledge Sources. Proceedings of the 2nd International Conference on Information Fusion, FUSION 1999, 1999
Mitra P., Kersten M., Wiederhold G. Graph-Oriented Model for Articulation of Ontology Interdependencies. Proceedigns of the Proceedings of the 7th International Conference on Extending Database Technology, 2000
Moon S. K., Simpson T.W., Kumara S. R. T. An agent-based recommender system for developing customized families of products // Journal of Intelligent Manufacturing. Vol. 20. No. 6. Springer, 2009, 649 659
Noy N., Musen M. SMART: Automated Support for Ontology Merging and Alignment. Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling, and Management, 1999
Noy N., Musen M. Anchor-PROMPT: Using Non-Local Context for Semantic Matching. Proceedings of the Workshop on Ontologies and Information Sharing at the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-2001, 2001
Ritze D., Meilicke C., Šváb-Zamazal O., Stuckenschmidt H. A pattern-based ontology matching approach for detecting complex correspondences. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Romesburg H. C. Cluster Analysis for Researchers. Lulu Press, California, 2004. 340 p.
Serafini L., Bouquet P., Magnini B., Zanobini S. An algorithm for matching contextualized schemas via SAT. Technical report, DIT University of Trento, Italy, 2003
Smirnov A., Kashevnik A., Shilov N., Balandin S., Oliver I., Boldyrev S. On-the-Fly Ontology Matching for Smart M3-based Smart Spaces. In Proceedings of the First International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2010), 2010, 225–230
Uschold M., Grüninger M. Ontologies: Principles, methods and applications. Knowledge Engineering Review, 11(2), 1996, 93-155
Шилов Н. Проблемы поддержки принятия решений при конфигурировании гибких сетевых организаций // Труды СПИИРАН, №22, Санкт-Петербург, 2012, стр. 224-233
Aumueller, D., Do, H., Massmann, S., Rahm, E. Schema and Ontology Matching with COMA++. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, 2005, 906-908
Baatarjav E.-A., Phithakkitnukoon S., Dantu R. Group Recommendation System for Facebook // OTM 2008: Proceedings of On the Move to Meaningful Internet Systems Workshop (2008). LNCS 5333. Springer, 2009, 211 219
Castano, S., Ferrara, A., Montanelli, S. H-Match: an Algorithm for Dynamically Matching Ontologies in Peer-based Systems. Proceedings of the 1st VLDB International Workshop on Semantic Web and Databases, SWDB 2003, 2003
Chen Y.-J., Chen Y.-M., Wu M.-S. An expert recommendation system for product empirical knowledge consultation // ICCSIT2010: The 3rd IEEE International Conference on Computer Science and Information Technology. IEEE, 2010, 23 27
Cruz, I., Antonelli, F., Stroe, C. Efficient Selection of Mappings and Automatic Quality-Driven Combination of Matching Methods. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Doan, A., Madhavan, J., Domingos, P., Halevy, A. Learning to map between ontologies on the semantic web. Proceedings of the 11th international conference on World Wide Web, 662-673, 2002
Doan, A., Hai, D., Jayant, M., Pedro, D., Alon, H. Ontology Matching: A Machine Learning Approach. Handbook on Ontologies in Information Systems. Springer, 2004.
Euzenat J., Shvaiko, P. Self-Organization and identification of Web Communities // IEEE Computer. Vol. 35. No. 3. IEEE, 2002, 66-71
Flake G. W., Lawrence S., Giles C. L., Coetzee F. Group Recommender System for Tourist Activities // EC-Web 2009: Proceedings of E-Commerce and Web Technologies, The 10th International Conference (2009). LNCS 5692. Springer, 2009, 26-37
Garcia I., Sebastia L., Onaindia E., Guzman C. A. Computing Minimal Mappings. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Giunchiglia F., Maltese V., Autayeu A. Computing Minimal Mappings. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Hovy E. Combining and standardizing largescale, practical ontologies for machine trans-lation and other uses. Proceedings of the First International Conference on Language Resources and Evaluation (LREC), 1998, 535-542
Hu W., Jian N., Qu Y., Wang Y. GMO: A Graph Matching for Ontologies. Proceedings of the K-CAP Workshop on Integrating Ontologies, 2005, 43-50
Klein M., Kiryakov W., Ognyanov D., Fensel D. Ontology Versioning and Change Detection on the Web. Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW02, 2002
McGuinness D. L., Fikes R., Rice J., Wilder S. An Environment for Merging and Testing Large Ontologies. Proceedings of the Seventh International Conference on Principles of Knowledge Representation and Reasoning (KR’2000), http://www.ksl.stanford.edu/software/chimaera/ (Accessed 12 May 2012)
Melnik S., Garcia-Molina H., Rahm E. Similarity flooding: a versatile graph matching algorithm and its application to schema matching. Proceedings of the 18th International Conference on Data Engineering, 2002, 117-128
Mitra P., Wiederhold G., Jannink J. Semi-automatic Integration of Knowledge Sources. Proceedings of the 2nd International Conference on Information Fusion, FUSION 1999, 1999
Mitra P., Kersten M., Wiederhold G. Graph-Oriented Model for Articulation of Ontology Interdependencies. Proceedigns of the Proceedings of the 7th International Conference on Extending Database Technology, 2000
Moon S. K., Simpson T.W., Kumara S. R. T. An agent-based recommender system for developing customized families of products // Journal of Intelligent Manufacturing. Vol. 20. No. 6. Springer, 2009, 649 659
Noy N., Musen M. SMART: Automated Support for Ontology Merging and Alignment. Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling, and Management, 1999
Noy N., Musen M. Anchor-PROMPT: Using Non-Local Context for Semantic Matching. Proceedings of the Workshop on Ontologies and Information Sharing at the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-2001, 2001
Ritze D., Meilicke C., Šváb-Zamazal O., Stuckenschmidt H. A pattern-based ontology matching approach for detecting complex correspondences. Proceedings of the Fourth International Workshop on Ontology Matching, 2009
Romesburg H. C. Cluster Analysis for Researchers. Lulu Press, California, 2004. 340 p.
Serafini L., Bouquet P., Magnini B., Zanobini S. An algorithm for matching contextualized schemas via SAT. Technical report, DIT University of Trento, Italy, 2003
Smirnov A., Kashevnik A., Shilov N., Balandin S., Oliver I., Boldyrev S. On-the-Fly Ontology Matching for Smart M3-based Smart Spaces. In Proceedings of the First International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2010), 2010, 225–230
Uschold M., Grüninger M. Ontologies: Principles, methods and applications. Knowledge Engineering Review, 11(2), 1996, 93-155
Шилов Н. Проблемы поддержки принятия решений при конфигурировании гибких сетевых организаций // Труды СПИИРАН, №22, Санкт-Петербург, 2012, стр. 224-233
Опубликован
2013-02-01
Как цитировать
Шилов, Н. Г. (2013). Согласование онтологий в групповых рекомендующих системах: полимодельный метод и типовые модели. Труды СПИИРАН, 1(24), 313-331. https://doi.org/10.15622/sp.24.19
Раздел
Статьи
Авторы, которые публикуются в данном журнале, соглашаются со следующими условиями:
Авторы сохраняют за собой авторские права на работу и передают журналу право первой публикации вместе с работой, одновременно лицензируя ее на условиях Creative Commons Attribution License, которая позволяет другим распространять данную работу с обязательным указанием авторства данной работы и ссылкой на оригинальную публикацию в этом журнале.
Авторы сохраняют право заключать отдельные, дополнительные контрактные соглашения на неэксклюзивное распространение версии работы, опубликованной этим журналом (например, разместить ее в университетском хранилище или опубликовать ее в книге), со ссылкой на оригинальную публикацию в этом журнале.
Авторам разрешается размещать их работу в сети Интернет (например, в университетском хранилище или на их персональном веб-сайте) до и во время процесса рассмотрения ее данным журналом, так как это может привести к продуктивному обсуждению, а также к большему количеству ссылок на данную опубликованную работу (Смотри The Effect of Open Access).
