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dc.creatorVarela Arregoces, Ernesto Eduardo
dc.creatorDe la Hoz, Emiro
dc.creatorDe la Hoz Correa, Eduardo Miguel
dc.creatorFAJARDO TORO, CARLOS HERNAN
dc.date.accessioned2018-11-22T14:18:21Z
dc.date.available2018-11-22T14:18:21Z
dc.date.issued2017-07-22
dc.identifier.issn07981015
dc.identifier.urihttp://hdl.handle.net/11323/1702
dc.description.abstractThe query algorithms in search engines use indexing, contextual analysis and ontologies, among other techniques, for text search. However, they do not use equations due to their writing complexity. NOMAT is a prototype of mathematical expression search engine that seeks information both in thesaurus and internet, using ontological tool for filtering and contextualizing information and LaTeX editor for the symbols in these expressions. This search engine was created to support mathematical research. Compared to other Internet search engines, NOMAT does not require prior knowledge of LaTeX, because has an editing tool which enables writing directly the symbols that make up the mathematical expression of interest. The results obtained were accurate and contextualized, compared to other commercial and no-commercial search engines.spa
dc.description.abstractLos algoritmos de consulta de los motores de búsqueda utilizan indexación, análisis contextual y ontologías, entre otras técnicas, para la búsqueda de texto. Sin embargo, no utilizan ecuaciones debido a su complejidad de escritura. Nomat es un prototipo de motor de búsqueda de expresión matemática que busca información tanto en tesauro como en Internet, utilizando la Herramienta ontológica para filtrar y contextualizar información y editor de látex para los símbolos de estas expresiones. Este buscador fue creado para apoyar la investigación matemática. En comparación con otros motores de búsqueda de Internet, Nomat no requiere conocimientos previos de látex, ya que cuenta con una herramienta de edición que permite escribir directamente los símbolos que componen la expresión matemática de interés. Los resultados obtenidos fueron precisos y contextualizados, en comparación con otros motores de búsqueda comerciales y no comerciales.eng
dc.language.isoengeng
dc.publisherRevista Espacioseng
dc.rightsAtribución – No comercial – Compartir igualeng
dc.subjectLaTeXeng
dc.subjectMathematical Expressionseng
dc.subjectSearch Engine and Semantic Webeng
dc.subjectOntologyeng
dc.subjectDefining context (DC)eng
dc.subjectontologíaeng
dc.subjectdefinición de contexto (DC)eng
dc.subjectlatexeng
dc.subjectexpresiones matemáticaseng
dc.subjectmotor de búsqueda y web semánticaeng
dc.titleMathematical ontological browser - NOMATeng
dc.title.alternativeNavegador ontológico matemático-NOMATeng
dc.typeArticleeng
dcterms.referencesAdeel, M., Cheung, H., & Khival, S. (2008). Math go! prototype of a content based mathematical formula search engine. Journal of Theorical and Applied Information Technology , 1002-1012. Alarcón, R., & Sierra, G. (2003). El rol de las predicaciones verbales en la extracción automática de conceptos. Estudios de lingüistica aplicada, 129-144. Baeza-Yates, R., & Pino, J. (2006). Towards formal evaluation of collaborative work. Information Research. Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Scientific American, 1-4. Cabré, T., Estopá, R., & Vivaldi, J. (2001). Automatic term detection. A review of current systems. . Recent Advances in Computational Terminology, 53-87. Chen, H., Finin, T., & Joshi, A. (2005). SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications. Ontologies for agents: Theory and experiences, 233-258. Codecogs. (7 de December de 2015). Codecogs LaTeX. Obtenido de https://www.codecogs.com/latex/eqneditor.php Contreras, J., & Martínez, J. (2007). Tutorial de ontologías. SEDIC - Asociación Española de Documentación e Información. Cristani, M., & Ferrario, R. (2014). Multiagent socio-technical systems. An Ontological approach. En T. Balke, F. Dignum, M. Van Riemsdijk, & A. Chopra, Coordination, Organizations, Institutions, and Norms in Agent Systems IX (págs. 42-62). Switzerland: Lecture Notes in Computer Science - Springer International Publishing. De-La-Hoz-Franco, E., De-La-Hoz-Correa, E., Ortiz, A., Ortega, J., & Martinez, A. (2014). Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps. KBS - Knowledge-Based Systems. Knowledge-Based Systems, 71, 322-338. Garcés, S., & Cobos, C. (2011). Metabuscador web basado en la información del contexto y el filtrado colaborativo. Revista UIS Ingenierías. Guo, W., Su, W., Li, L., An, N., & Cui, L. (2013). MQL: A mathematical formula query language for mathematical search. 2013 IEEE 16th Internacional Conference on Computacional Science and Engineering (págs. 245-250). IEEE Computer Society. Gruber, T. (1992). Toward Principles for the Design of Ontologies used for Knowledge Sharing. International Journal of Human and Computer Studies, 907-928. Guzmán Luna, J., López Bonilla, M., & Torres, I. (2012). Methodologies and methods for building ontologies. Scientia et Technica, 133-140. Heckmann, D., Schwartz, T., Brandherm, B., & Kröner, A. (2005). GUMO the General User Model Ontology. Lecture Notes in Computer Science - Springer , 428-432. IEEE Computer Society - FIPA. (3 de December de 2015). http://www.fipa.org/. Obtenido de The Foundation for Intelligent Physical Agents. Kohlhase, M., & Sucan, I. (2006). A search engine for mathematical formulae. En J. Calmet, T. Ida, & D. Wang, AISC 2006 - LNCS (LNAI) (págs. 241-253). Springer Heidelberg. Kohlhase, M., & Prodescu, C. (2013). Mathwebsearch at NTCIR-10. National Institute of Informatics Testbeds and Community for Information access Research 10 (NTCIR-10), 675-679. MathOverflow. (7 de December de 2015). MathOverflow. Obtenido de http://mathoverflow.net/ Melucci, M. (2005). Context modeling and discovery using vector space bases. Proceedings of the AAAI Spring Symposium on Quantum Interaccion, 808-815. Miller, B., & Youssef, A. (2003). Technical aspects of the digital library of mathematical functions. Annals of Mathematics and Artificial Intelligence, 121-136. Misutka, J., & Galambos, L. (2011). System description: EgoMath2 as a tool for mathematical searching on wikipedia.org. En J. Davenport, W. Farmer, J. Urban, & F. Rabe, MKM/Calculemus - LNCS (págs. 307-309). Springer - Heidelberg. Munavalli, R., & Miner, R. (2006). Mathfind: a math-aware search engine. Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pág. 735). ACM. Neches, R., Fikes, R., Finin, T., Gruber, T., Patil, R., Senator, T., & Swartout, W. (1991). Enabling Technology for Knowledge Sharing. AI Magazine, 36-56. Nghiem, M.-Q., Kristianto, G., Topic, G., & Aizawa, A. (2014). Which one is better: Presentationbased or content-based math search? En S. Watt, J. Davenport, A. Sexton, P. Sojka, & J. Urban, Intelligent Computer Mathematics (págs. 200-212). Coimbra - Portugal: Springer Link. Nguyen, T., Chang, K., & Hui, S. (2012). Amath-aware search engine formath question answering system. Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), 724-733. NIST. (7 de December de 2015). National Institute of Standards and Technology: Digital library of mathematical functions. Obtenido de http://dlmf.nist.gov Park, J., & Musen, M. (1998). Virtual Machine in Protégé: A Study of Software Reuse . Studies in Health Tecnology and Informatics, 644-648. Rovetto, R., & Mizoguchi, R. (2015). Causality and the Ontology desease. Applied Ontology, 81- 86. Setti, F., Porello, D., Ferrario, R., Abduljalil, S., & Cristani, M. (2 de December de 2015). "Tell me more": how semantic technologies can help refining internet image search. Obtenido de Laboratory for Applied Ontology: http://www.loa.istc.cnr.it/sites/default/files/vigta13_ontoclass.pdf Sheth, A. (2013). Semantic web: Ontology and knowledge base enabled tools, services and applications. IGI Global. Siekmann, J. (7 de December de 2015). Activemath. Obtenido de http://www.activemath.org/eu/ Sojka, P., & Liska, M. (2011). The Art of Mathematics Retrieval. Proceedings of the ACM Conference on Document Engineering (págs. 57-60). Mountain View - CA: Association of Computing Machinery. Springer. (1 de December de 2015). Springer LaTeX. Obtenido de http://www.latexsearch.com/ Stanford University. (s.f.). Protégé. Recuperado el 7 de December de 2015, de http://protege.stanford.edu/ Universidad Politécnica de Valencia. (3 de December de 2015). Web Semántica: Agentes Inteligentes. Obtenido de http://personales.upv.es/ccarrasc/doc/2003- 2004/websemag/agentes.htm Uribe Tirado, A. (3 de December de 2015). Acceso, conocimiento y uso de las herramientas especializadas de internet entre la comunidad académica, científica, profesional y cultural de la Universidad de Antioquía. Obtenido de e-LiS repository: http://eprints.rclis.org/6206/1/presentacion.pdf Valencia, M. (2007). Categorización de consultas enviadas a un motor de búsqueda web. Tesis Doctoral. Valencia, España: Universidad Politécnica de Madrid. Wang, X., Gu, T., Zhang, D., & Pung, H. (2004). Ontology based context modeling and reasoning using OWL. Second IEEE workshop on context modeling and reasoning, 18-22. Wolfram Research Inc. (7 de December de 2015). Wolfram Alpha. Obtenido de http://functions.wolfram.com/ W3C. (3 de December de 2015). World Wide Web Consortium. Obtenido de www.w3c.es/Divulgacion/GuiasBreves/HojasEstilo Yang, S.-Q., & Tian, X.-D. (2014). A maintenance algorithm of FDS based mathematical expression index. Proceedings of the 2014 International Conference on Machine Learning and Cybernetics (págs. 888-892). Lanzhou - China: IEEEXplore. Yokoi, K., & Aizawa, A. (2009). An approach to similarity search for mathematical expressions using MathML. Czech Digital Mathematics Library, 27-35. Youssef, A. (2005). Information search and retrieval of mathematical contents: Issues and methods. The ISCA 14th International Conference on Intelligent and Adaptative Sustems and Software Engineering, 100-105. Youssef, A. (2007). Methods of relevance ranking and hit-content generation in math search. En M. Kauers, M. Kerber, R. Miner, & W. Windsteiger, MKM/Calculemus (págs. 393-406). Springer - Heidelberg. Zhang, Q., & Youssef, A. (2014). An Approach to Math-Similarity Search. CICM 2014 - LNAI 8543 - Springer International Publishing Switzerland, 404-418.spa


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