Modelo para Expansión de Consultas basado en Información Desestructurada
Resumo
Hoy día la obtención de resultados útiles en el proceso de búsqueda en Internet no es una tarea trivial. Esto se debe en parte porque la inmensa cantidad de información disponible puede ocultar resultados valiosos si no se usan los términos adecuados en la consulta. En este contexto, la expansión de consultas es un mecanismo que permite mejorar la calidad de los resultados. Tanto la utilización de una fuente fiable de datos como de la estrategia para seleccionar los nuevos termino son aspectos clave en el proceso de expansión. En este artículo se describe un modelo de expansión de consultas no supervisado basado en Wikipedia. Para la obtención de términos se utiliza modelado de tópicos y grafos de conocimiento.
Palavras-chave:
Expansión de consultas, Procesamiento de lenguaje natural, Grafos de Conocimiento, Modelado de Tópicos
Referências
J. Ooi, X. Ma, H. Qin, and S. C. Liew, "A survey of query expansion, query suggestion and query refinement techniques," in 2015 4th International Conference on Software Engineering and Computer Systems, ICSECS 2015: Virtuous Software Solutions for Big Data, 2015.
C. Bobed and E. Mena, "QueryGen: Semantic interpretation of keyword queries over heterogeneous information systems," Inf. Sci. (Ny)., 2016.
S. Balaneshin-Kordan and A. Kotov, "Sequential query expansion using concept graph," in International Conference on Information and Knowledge Management, Proceedings, 2016.
H. K. Azad and A. Deepak, "Query expansion techniques for information retrieval: A survey," Inf. Process. Manag., vol. 56, no. 5, pp. 1698-1735, Sep. 2019.
J. Guisado-Gámez and A. Prat-Pérez, "Understanding graph structure of wikipedia for query expansion," 3rd Int. Work. Graph Data Manag. Exp. Syst. GRADES 2015 - co-located with SIGMOD/PODS 2015, 2015.
E. Cambria and B. White, "Jumping NLP curves: A review of natural language processing research," IEEE Computational Intelligence Magazine. 2014.
K. Zeng, C. Li, L. Hou, J. Li, and L. Feng, "A comprehensive survey of entity alignment for knowledge graphs," AI Open, vol. 2, pp. 1-13, 2021.
Y. Duan, L. Shao, G. Hu, Z. Zhou, Q. Zou, and Z. Lin, "Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph," in Proceedings - 2017 15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017, 2017.
F. Boudin, "A Comparison of Centrality Measures for Graph-Based Keyphrase Extraction," in International Joint Conference on Natural Language Processing (IJCNLP), 2013.
D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent Dirichlet allocation," J. Mach. Learn. Res., 2003.
L. C. Freeman, "A Set of Measures of Centrality Based on Betweenness," Sociometry, 2006.
C. Bobed and E. Mena, "QueryGen: Semantic interpretation of keyword queries over heterogeneous information systems," Inf. Sci. (Ny)., 2016.
S. Balaneshin-Kordan and A. Kotov, "Sequential query expansion using concept graph," in International Conference on Information and Knowledge Management, Proceedings, 2016.
H. K. Azad and A. Deepak, "Query expansion techniques for information retrieval: A survey," Inf. Process. Manag., vol. 56, no. 5, pp. 1698-1735, Sep. 2019.
J. Guisado-Gámez and A. Prat-Pérez, "Understanding graph structure of wikipedia for query expansion," 3rd Int. Work. Graph Data Manag. Exp. Syst. GRADES 2015 - co-located with SIGMOD/PODS 2015, 2015.
E. Cambria and B. White, "Jumping NLP curves: A review of natural language processing research," IEEE Computational Intelligence Magazine. 2014.
K. Zeng, C. Li, L. Hou, J. Li, and L. Feng, "A comprehensive survey of entity alignment for knowledge graphs," AI Open, vol. 2, pp. 1-13, 2021.
Y. Duan, L. Shao, G. Hu, Z. Zhou, Q. Zou, and Z. Lin, "Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph," in Proceedings - 2017 15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017, 2017.
F. Boudin, "A Comparison of Centrality Measures for Graph-Based Keyphrase Extraction," in International Joint Conference on Natural Language Processing (IJCNLP), 2013.
D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent Dirichlet allocation," J. Mach. Learn. Res., 2003.
L. C. Freeman, "A Set of Measures of Centrality Based on Betweenness," Sociometry, 2006.
Publicado
13/10/2021
Como Citar
MONTIEL, Raúl; KARANIK, Marcelo; COSTILLA, Patricio; ZIMMERMANN, Federico; ENRIQUE, Gerardo; MINOLI, Mariano.
Modelo para Expansión de Consultas basado en Información Desestructurada. In: CONGRESSO LATINO-AMERICANO DE SOFTWARE LIVRE E TECNOLOGIAS ABERTAS (LATINOWARE), 18. , 2021, Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 130-133.
DOI: https://doi.org/10.5753/latinoware.2021.19918.
