Geração semiautomática de uma rede semântica para descrever as comunidades vítimas do conflito armado colombiano
DOI:
https://doi.org/10.18041/1900-3803/entramado.1.6114Palavras-chave:
Rede semântica, políticas públicas, mineração de texto, técnicas de análise multivariadaResumo
A situação de violência na Colômbia tem produzido dinâmicas que estão além do controle do Estado e dificultam a construção de uma agenda pública por parte das instituições estatais, já que estas têm limitações na descrição do ambiente social e político que influencia o território. Para superar essas limitações, é pertinente gerar redes semânticas que descrevam as informações sobre as comunidades vítimas do conflito armado. Isto permitirá gerar um input que as instituições e autoridades locais possam utilizar para reconhecer pilares na formação de políticas públicas que sejam consistentes com as necessidades de cada comunidade. Neste artigo, é apresentado o processo para a geração semiautomática de uma rede semântica baseada no processamento de dados textuais. Para isso, foram utilizadas ferramentas de mineração de texto e técnicas de análise multivariada. A rede semântica gerada é uma primeira abordagem para descrever as características do estudo de caso da comunidade Arauca durante os anos 2013-2018.
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AL MADI, Naser y KHAN, Javed. Constructing Semantic Networks of Comprehension from Eye-Movement during Reading. En: Proceedings - 12th IEEE International Conference on Semantic Computing (12, 31-2, enero-febrero: Laguna Hills, California). ICSC. California: IEEE, 2018. p. 49-55. https://doi.org/10.1109/ICSC.2018.00016
ALZATE, Mary L. y ROMO, Gerardo. El enfoque de la gobernanza y su recepción en el marco gubernativo actual de las sociedades latinoamericanas. En: Opinião Pública. Diciembre, 2014. vol. 20, no. 3, p. 480-495. https://doi.org/10.1590/1807-01912014203480
ASTRAKHANTSEV, Nikita A., FEDORENKO, Denis G. y TURDAKOV, Denis Y. Methods for automatic term recognition in domain-specific text collections: A survey. En: Programming and Computer Software. Noviembre, 2015. vol. 41, no. 6, p. 336-349. https://doi.org/10.1134/S036176881506002X
AUSSENAC-GILLES, Nathalie; BIEBOW, Brigitte y Szulman, Sylvie. Revisiting Ontology Design: A Methodology Based on Corpus Analysis. En: EKAW 2000 (12, 2-6, octubre: Jean-les-Pins, Francia). Knowledge Engineering and Knowledge Management Methods, Models, and Tools. Berlin: Springer-Verlag Berlin Heidelberg, 2000. p. 172-188. https://doi.org/10.1007/3-540-39967-4_13
BLEI, David M.; NG, Andrew Y. y JORDAN, Michael I. Latente Dirichlet Allocation. En: The Journal of Machine Learning Research. Enero, 2003. vol. 3, p. 993-1022.
BRACHMAN, Ronald J. On the epistemological status of semantic networks. In: Associative Networks. Representation and Use of Knowledge by Computers. Nueva York: Academic Press, FINDLER, Nicholas V., 1979. p. 3-50. https://doi.org/https://doi.org/10.1016/B978-0-12-256380-5.50007-4
BRACHMAN, Ronald J. What’s in a concept: structural foundations for semantic networks. In: International Journal of Man-Machine Studies. Marzo, 1977. vol. 9, no. 2, p. 127-152. https://doi.org/10.1016/S0020-7373(77)80017-5
CARLEY, Kathleen M., BIGRIGG, Michael W. y DIALLO, Boubacar. Data-to-model: A mixed initiative approach for rapid ethnographic assessment. In: Computational and Mathematical Organization Theory. Julio, 2012. vol. 18, no. 3, p. 300-327. https://doi.org/10.1007/s10588-012-9125-y
CHRISTENSEN, Tom y LAEGREID, Per. El estado fragmentado: los retos de combinar eficiencia, normas institucionales y democracia. En: Gestión y Política Pública. Julio- diciembre, 2005. vol. 14, no. 003, p. 557–598. https://www.redalyc.org/pdf/133/13314306.pdf
DEERWESTER, Scott; DUMAIS, Susan T.; FURNAS, George W.; LANDAUER, Thomas K. y HARSHMAN, Richard. Indexing by Latent Semantic Analysis. En: Journal of the American Society for Information Science. Septiembre, 1990. vol. 41, no. 6, p. 391-407. https://doi.org/10.1002/(SICI)1097-4571(199009)41
DUBNICK, Melvin J. y BARDES, Barbara A. Thinking about public policy, a problem-solving approach. Political Science Scholarship. Nueva York: John Wiley and Sons, 1983. 283 p. ISBN 0471864641 9780471864646.
ECHEVERRY-CORREA, Julian D. Contributions to speech analytics based on speech recognition and topic identification. Trabajo de grado PH.D. en Ingeniería de Sistemas Electrónicos. Madrid: Universidad Politécnica de Madrid. Escuela Técnica Superior de Ingenieros de Telecomunicación, 2015. 135 p. https://doi.org/10.22517/9789587222678
EVANGELOPOULOS, Nicholas; ZHANG, Xiaoni y PRYBUTOK, Victor R. Latent Semantic Analysis: five methodological recommendations. In: European Journal of Information Systems. Septiembre, 2012. vol. 21, no. 1, p. 70-86. https://doi.org/10.1057/ejis.2010.61
FEDORENKO, Denis G., ASTRAKHANTSEV, Nikita A. y TURDAKOV, Denis Y. Automatic recognition of domain-specific terms: An experimental evaluation. In: Proceedings of the Institute for System Programming. 2014. vol. 26, no. 4, p. 55-72. https://doi.org/10.15514/ISPRAS-2014-26(4)-5
GÓMEZ-PÉREZ, Asunción, FERNÁNDEZ-LOPEZ, Mariano y CORCHO, Oscar. Ontological Engineering: With examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. Londres: Springer-Verlag London, 2004. 404 p. (Serie Advanced Information and Knowledge Processing). https://doi.org/10.1007/b97353
GUTIÉRREZ, Omar J. Arauca: espacio, conflicto e institucionalidad. En: Análisis Político. Mayo, 2010. vol. 23, no. 69, p. 3-34. https://revistas.unal.edu.co/index.php/anpol/article/view/45778/47305
HUTCHINS, Christopher E. y BENHAM-HUTCHINS, Marge. Hiding in plain sight: Criminal network analysis. En: Computational and Mathematical Organization Theory. Noviembre, 2010. vol. 16, p. 89-111. https://doi.org/10.1007/s10588-009-9060-8.
ILGEN, Daniel. R. y HULIN, Charles. L. Computational Modeling of Behavior in Organizations: The Third Scientific Discipline. Nueva York: American Psychological Association. 2000. 309 p. ISBN 978-1-55798-639-9.
JACQUEMIN, Christian y BOURIGAULT, Didier. Term Extraction and Automatic Indexing. In: The Oxford Handbook of Computational Linguistics. Oxford: Oxford University Press, MITKOV, Ruslan, 2012. https://doi.org/10.1093/oxfordhb/9780199276349.013.0033
KAO, Anne y POTEET, Stephen R. Overview. En: Natural Language Processing and Text Mining. Londres: Springer-Verlag London Limited, 2007. p. 1-7. https://doi.org/10.1007/978-1-84628-754-1
KASHYAP, Vipul y BORGIDA, Alex. Representing the UMLS® semantic network using OWL (or “what’s in a Semantic Web link?”). En: 2nd International Semantic Web Conference (2: 20-23, octubre: Sanibel Island, Florida). The Semantic Web – ISWC 2003. Springer, Berlin, Heidelberg: ISWC, 2003, p. 1-16. https://doi.org/10.1007/978-3-540-39718-2_1.
KINGDON, John W. Agendas, alternatives and public policy. Boston: Little, Brown and Company, 1984. 240 p. ISBN 9780316493918.
LAGUTINA, Ksenia, MAMEDOV, Eldar, LAGUTINA, Nadezhda, PARAMONOV, Ilya y SHCHITOV, Ivan. Analysis of relation extraction methods for automatic generation of specialized thesauri: Prospect of hybrid methods. En: 19th Conference of Open Innovations Association (19: 7-11, noviembre: Jyvaskyla, Finland). 2016 19th Conference of Open Innovations Association (FRUCT). Saint-Petersburg: FRUCT Oy, 2016. p. 138-144. https://doi.org/10.23919/FRUCT.2016.7892193
MANNING, Christopher y SCHUTZA, Hinrich. Foundations of statistical natural language processing. 2 ed. Cambridge: The MIT Press, 2000. 680 p. ISBN 9780262133609.
PFEFFER, Jürgen y Carley, Kathleen M. Rapid modeling and analyzing networks extracted from pre-structured news articles. En: Computational and Mathematical Organization Theory. Junio, 2012. vol. 18, no. 3, p. 280-299. https://doi.org/10.1007/s10588-012-9122-1.
QUILLIAN, M. Ross. The teachable language comprehender: a simulation program and theory of language. In: Communications of the ACM. Agosto, 1969. vol. 12, no. 8, p. 459-476. https://doi.org/10.1145/363196.363214
QUINTANA, Christian. Impacto social y económico en la implementación de políticas públicas. Trabajo de grado Especialista en Finanzas y Administración Pública. Bogotá D.C.: Universidad Militar Nueva Granada. Facultad de Ciencias Económicas, 2014. 34 p. http://repository.unimilitar.edu.co/bitstream/10654/11092/1/IMPACTO SOCIAL Y ECONÓMICO EN LA IMPLEMENTACIÓN. OK.pdf
ROTH DEUBEL, André-Noël. Políticas públicas. Formulación, implementación y evaluación. 10.o edición. Bogotá D.C.: Ediciones Aurora, 2002. 134 p. ISBN 958913615X.
TAPIA-LEÓN, Mariela; RIVERA, Abdon C.; ESPINOSA, Janneth. C. y LUJAN-MORA, Sergio. Representation of Latin American university syllabuses in a semantic network. En: 2nd International Conference on Information Systems and Computer Science. (2: 23-25, noviembre: Quito, Ecuador). 2017 International Conference on Information Systems and Computer Science (INCISCOS). Quito: CPS, 2018. p. 295-301. https://doi.org/10.1109/INCISCOS.2017.28
URIEL JIMÉNEZ, Ezequiel y ALDÁS MANZANO, Joaquín. Análisis factorial. En: Análisis multivariante aplicado: Aplicaciones al marketing, investigación de mercados, dirección de empresas y turismo. España: Thomson-Paraninfo, 2005. p. 407-440.
USCHOLD, Mike y KING, Martin. (1995). Towards a Methodology for Building Ontologies. Edinburgh: University of Edinburgh, 1995. AIAI-TR-183. http://www.aiai.ed.ac.uk/publications/documents/1995/95-ont-ijcai95-ont-method.pdf
VAN HOLT, Tracy; JOHNSON, Jeffrey C.; BRINKLEY, James D.; CARLEY, Kathleen M. y CASPERSEN, Janna. Structure of ethnic violence in Sudan: A semi-automated network analysis of online news (2003-2010). In: Computational and Mathematical Organization Theory. Septiembre, 2012. vol. 18, no. 3, p. 340-355. https://doi.org/10.1007/s10588-012-9124-z.
WOODS, William A. WHAT’S IN A LINK: Foundations for Semantic Networks. En: Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence. California: Morgan Kaufmann Publishers, Inc., COLLINS, Allan y SMITH, Edward E., 1988. p. 102-125. https://doi.org/10.1016/B978-1-4832-1446-7.50014-5
ZHU, Bing, WANG, Yu y HE, Chenglong. Global Social Event Extraction and Analysis by Processing Online News. In: 2016 International Conference on Information System and Artificial Intelligence. (24-26, junio: Hong Kong, China). ISAI 2016. Hong Kong: CPS, 2016. p. 73-76. https://doi.org/10.1109/ISAI.2016.0024.
ZOUAQ, Amal, GASEVIC, Dragan y HATALA, Marek. Linguistic patterns for information extraction in OntoCmaps. En: 3rd Workshop on Ontology Patterns (3: 12, noviembre: Boston, Estados Unidos). Proceedings of the 3rd Canadian Semantic Web Symposium. Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V, 2012. p. 61–72.