Un modelo de recomendación de protocolos experimentales basado en el contexto de uso del usuario

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dc.contributor.advisorGuzmán-Luna, Jaime Alberto
dc.contributor.authorMuñoz Fernández, Juan Felipe
dc.contributor.researchgroupSISTEMAS INTELIGENTES WEB (SINTELWEB)spa
dc.date.accessioned2021-06-02T17:10:48Z
dc.date.available2021-06-02T17:10:48Z
dc.date.issued2021
dc.description.abstractEl protocolo experimental es un instrumento que formaliza el quehacer experimental describiendo las particularidades y las entidades convergentes en el diseño de experimentos y permite la reproducibilidad de los mismos como piedra angular de la práctica científica (Soldatova et al., 2014a). En esta tesis se propone un modelo de recomendación de protocolos experimentales basado en el contexto de uso del usuario. Como caso de estudio se analizan los protocolos experimentales de los ensayos de laboratorio de Ingeniería Civil que están normalizados en los estándares ASTM (American Society for Testing and Materials). Partiendo desde la especificación formal del protocolo experimental se obtiene un modelo de representación que permite describir de manera individual, las diferentes entidades (y sus relaciones) que convergen en este producto de la actividad científica, contribuyendo a la formalización de los protocolos experimentales en un dominio de conocimiento que ha sido poco explorado desde esta perspectiva. Con el resultado anterior, se propone un modelo de recomendación que aprovecha el concepto del contexto de uso para destacar dentro del protocolo experimental, aquellas entidades que caracterizan el contexto en el que un usuario realiza un nuevo experimento, reproduce, repite o audita experimentos previamente realizados. Con esto también se contribuye a considerar la recomendación de este tipo de productos, propuesta que aún no aparece visible en los repositorios de protocolos experimentales explorados en esta tesis. Con los resultados anteriores se construye un prototipo de software que implementa la especificación formal obtenida y el modelo de recomendación, y sirve de punto de partida para considerar el diseño de un sistema de información que facilite el curado de la información resultante de la actividad experimental de un laboratorio de ingeniería civil y la recuperación personalizada de ésta. Mediante unos casos de prueba se valida el modelo de la especificación formal y el modelo de recomendación con resultados satisfactorios en la estrategia basada en el contenido para lograr una recomendación al usuario.spa
dc.description.abstractThe experimental protocol is an instrument that formalizes the experimental work, describing the particularities and entities that converge in the design of experiments and allows their reproducibility as a cornerstone of scientific practice (Soldatova et al., 2014a). In this thesis a model of recommendation of experimental protocols is proposed based on the context of use of the user. As a case study, the experimental protocols of the Civil Engineering laboratory tests in the ASTM (American Society for Testing and Materials) standards are analyzed. Starting from the formal specification of the experimental protocol, a representation model is obtained. This model allows to describe individually, the different entities (and their relationships) that converge in this product of scientific activity, contributing to the formalization of experimental protocols in a domain of knowledge that has been little explored from this perspective. With the previous result, a recommendation model is proposed taking advantage of the concept of the context of use to highlight within the experimental protocol, those entities that characterize the context in which a user performs a new experiment, reproduces, repeats or audits previously performed experiments. This also contributes to considering the recommendation of this type of product, a proposal that is not yet visible in the repositories of experimental protocols explored in this thesis. With the previous results, a software prototype is built using the obtained formal specification and the recommendation model and serves as a starting point to consider the design of an information system that facilitates the curation of the information resulting from the experimental activity of a civil engineering laboratory and its personalized recovery. Finally, and through test cases, the formal specification model and the recommendation model are validated with satisfactory results in the content-based strategy to achieve a recommendation to the user.eng
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ingeniería – Ingeniería de Sistemasspa
dc.description.researchareaSistemas de recomendaciónspa
dc.format.extent257 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/79598
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombia - Sede Medellínspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellínspa
dc.publisher.departmentDepartamento de la Computación y la Decisiónspa
dc.publisher.facultyFacultad de Minasspa
dc.publisher.placeMedellínspa
dc.publisher.programMedellín - Minas - Maestría en Ingeniería - Ingeniería de Sistemasspa
dc.relation.indexedN/Aspa
dc.relation.referencesAdomavicius, G., & Tuzhilin, A. (2015). Context-aware recommender systems. In Recommender Systems Handbook, Second Edition (pp. 191–226). https://doi.org/10.1007/978-1-4899-7637-6_6spa
dc.relation.referencesAdomavicius, Gediminas, Sankaranarayanan, R., Sen, S., & Tuzhilin, A. (2005). Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst., 23(1), 103–145. https://doi.org/doi: 10.1145/1055709.1055714spa
dc.relation.referencesAdomavicius, Gediminas, & Tuzhilin, A. (2015). Context-aware recommender systems. In F. Ricci, S. Bracha, L. Rokach, & P. B. Rokach (Eds.), Recommender Systems Handbook, Second Edition (pp. 191–226). Springer. https://doi.org/10.1007/978-1-4899-7637-6_6spa
dc.relation.referencesAggarwal, C. C. (2016). Content-Based Recommender Systems. In Recommender Systems. The Textbook (pp. 139–166). Springer International Publishing.spa
dc.relation.referencesAjmani, S., Ghosh, H., Mallik, A., & Chaudhury, S. (2013). An ontology based personalized garment recommendation system. Proceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013, 3, 17–20. https://doi.org/10.1109/WI-IAT.2013.143spa
dc.relation.referencesAllemang, D., & Hendler, J. (2011). Semantic Web for the Working Ontologist: Effective modeling in RDFS and OWL. In Semantic Web for the Working Ontologist (pp. 2–12). Elsevier.spa
dc.relation.referencesAsaduzzaman, M., Roy, C. K., Monir, S., & Schneider, K. A. (2015). Exploring API method parameter recommendations. 2015 IEEE 31st International Conference on Software Maintenance and Evolution, ICSME 2015 - Proceedings, 271–280. https://doi.org/10.1109/ICSM.2015.7332473spa
dc.relation.referencesAsanov, D. (2011). Algorithms and Methods in Recommender Systems. Other Conferences. https://doi.org/10.1146/annurev-psych-113011-143823spa
dc.relation.referencesAssante, M. (2015). Science 2.0 Repositories. UNIVERSITÀ DI PISA.spa
dc.relation.referencesAssante, M., Candela, L., Castelli, D., Manghi, P., & Pagano, P. (2015a). Science 2.0 repositories: Time for a change in scholarly communication. D-Lib Magazine. https://doi.org/10.1045/january2015-assantespa
dc.relation.referencesAssante, M., Candela, L., Castelli, D., Manghi, P., & Pagano, P. (2015b). Repositories for Open Science: The SciRepo Reference Model. In E. Garoufallou, R. J. Hartley, & P. Gaitanou (Eds.), Metadata and Semantics Research (pp. 298–311). Springer International Publishing.spa
dc.relation.referencesASTM International. (n.d.). Geotechnical Engineering Standards. Retrieved April 25, 2018, from https://www.astm.org/Standards/geotechnical-engineering-standards.htmlspa
dc.relation.referencesASTM International. (2008). ASTM Form and Style for ASTM Standars. https://www.astm.org/ILS/PDFS/blue_book.pdfspa
dc.relation.referencesASTM D2216-10 - Standard Test Methods for Laboratory Determination of Water (Moisture) Content of Soil and Rock by Mass, ASTM International 1 (2010). https://doi.org/10.1520/D2216-10.Nspa
dc.relation.referencesASTM International. (2017). Form of ASTM Test Methods. In Form and Style of ASTM Standars (pp. 7–24).spa
dc.relation.referencesASTM Standard D2216-10. (2010). Standard Test Methods for Laboratory Determination of Water (Moisture) Content of Soil and Rock by Mass. In ASTM International. https://doi.org/10.1520/D2216-10.Nspa
dc.relation.referencesBandrowski, A., Brinkman, R., Brochhausen, M., Brush, M. H., Bug, B., Chibucos, M. C., Clancy, K., Courtot, M., Derom, D., Dumontier, M., Fan, L., Fostel, J., Fragoso, G., Gibson, F., Gonzalez-Beltran, A., Haendel, M. A., He, Y., Heiskanen, M., Hernandez-Boussard, T., … Zheng, J. (2016). The Ontology for Biomedical Investigations. PLoS One, 11(4), e0154556. https://doi.org/10.1371/journal.pone.0154556spa
dc.relation.referencesBartling, S., & Friesike, S. (2014). Towards Another Scientific Revolution. In S. Bartling & S. Friesike (Eds.), Opening Science: The Evolving Guide on How the Internet is Changing Research, Collaboration and Scholarly Publishing (pp. 3–15). Springer International Publishing. https://doi.org/10.1007/978-3-319-00026-8_1spa
dc.relation.referencesBecker, M., & Laue, R. (2012). A comparative survey of business process similarity measures. Computers in Industry, 63(2), 148–167. https://doi.org/10.1016/j.compind.2011.11.003spa
dc.relation.referencesBelhajjame, K., Corcho, O., Garijo, D., Zhao, J., Missier, P., Newman, D., Palma, R., Bechhofer, S., García Cuesta, E., Gómez-Pérez, J. M., Klyne, G., Page, K., Roos, M., Ruiz, J. E., Soiland-Reyes, S., Verdes-Montenegro, L., De Roure, D., & Goble, C. A. (2012). Workflow-centric research objects: First class citizens in scholarly discourse. CEUR Workshop Proceedings, 903, 1–12. https://doi.org/10.1.1.383.203spa
dc.relation.referencesBelhajjame, K., Goble, C., & De Roure, D. (2012). Research object management: opportunities and challenges. Data Intensive Collaboration in Science and Engineering (DISCOSE) Workshop, Collocated with ACM CSCW.spa
dc.relation.referencesBelhajjame, K., Zhao, J., Garijo, D., Gamble, M., Hettne, K., Palma, R., Mina, E., Corcho, O., Gómez-Pérez, J. M., Bechhofer, S., Klyne, G., & Goble, C. (2015). Using a suite of ontologies for preserving workflow-centric research objects. Journal of Web Semantics, 32, 16–42. https://doi.org/10.1016/j.websem.2015.01.003spa
dc.relation.referencesBenchling Inc. (2018). Benchling. https://benchling.comspa
dc.relation.referencesBergmann, R., & Gil, Y. (2014). Similarity assessment and efficient retrieval of semantic workflows. Information Systems, 40, 115–127. https://doi.org/10.1016/j.is.2012.07.005spa
dc.relation.referencesBerners-Lee, T., Hendler, J., Lassila, O., & others. (2001). The semantic web. Scientific American, 284(5), 28–37.spa
dc.relation.referencesBielefeld University. (n.d.). What is BASE. Retrieved September 13, 2018, from https://www.base-search.net/about/en/index.phpspa
dc.relation.referencesBio-protocol LLC. (2018). Bio-Protocol. https://bio-protocol.orgspa
dc.relation.referencesBMC. (2018). Biological Procedures Online. https://biologicalproceduresonline.biomedcentral.com/spa
dc.relation.referencesBologna, C., De Rosa, A. C., De Vivo, A., Gaeta, M., Sansonetti, G., & Viserta, V. (2013). Personality-based recommendation in E-commerce. CEUR Workshop Proceedings, 997.spa
dc.relation.referencesBourne, P. E., Clark, T. W., Dale, R., Waard, A. De, Herman, I., Hovy, E. H., & Shotton, D. (2012). Improving The Future of Research Communications and e-scholarship. Dagstuhl Manifestos. https://doi.org/10.4230/DagMan.1.1.41spa
dc.relation.referencesBunge, M. (1989). Capítulo 14. Experimento. In Ariel (Ed.), La Investigación Cientifica: Su Estrategia y Su Filosofía (2nd ed., pp. 819–858). Ariel.spa
dc.relation.referencesCarrillo-Ramos, A., Villanova-Oliver, M., Gensel, J., & Martin, H. (2007). Profiling nomadic users considering preferences and context of use. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2007: OTM 2007 WORKSHOPS, PT 1, PROCEEDINGS, 4805, 457–466.spa
dc.relation.referencesChamorro-Koc, M. (2007). Experience, Context-of-use and the Design of Product Usability [Queensland University of Technology]. https://eprints.qut.edu.au/16360/1/Marianella_Chamorro-Koc_Thesis.pdfspa
dc.relation.referencesCrabu, S. (2014). Give us a protocol and we will rise a lab. The shaping of the infra-structuring objects. Information Infrastructure(s): Boundaries, Contexts, Ecologies, 120–165.spa
dc.relation.referencesD’Agostino, D., Gasparetti, F., Micarelli, A., & Sansonetti, G. (2016). A social context-aware recommender of itineraries between relevant points of interest. Communications in Computer and Information Science, 618, 354–359. https://doi.org/10.1007/978-3-319-40542-1_58spa
dc.relation.referencesDe Roure, D., Goble, C., Aleksejevs, S., Bechhofer, S., Bhagat, J., Cruickshank, D., Fisher, P., Hull, D., Michaelides, D., Newman, D., Procter, R., Lin, Y., & Poschen, M. (2010). Towards open science: The myExperiment approach. Concurrency Computation Practice and Experience. https://doi.org/10.1002/cpe.1601spa
dc.relation.referencesDeisenroth, M. P., Faisal, A., & Ong, C. S. (2020). Mathematics for Machine Learning. Cambridge University Press.spa
dc.relation.referencesDelatte, N. (2009). Las normas y la ingeniería en las aulas universitarias. ASTM Standardization News. https://www.astm.org/SNEWS/SPANISH/SPMJ09/provocative_spmj09.htmlspa
dc.relation.referencesDey, A. K. (2001). Understanding and Using Context. Personal and Ubiquitous Computing 5 (1), 4–7. https://doi.org/10.1007/s007790170019spa
dc.relation.referencesDryad Digital Repository. (2016). Dryad. http://datadryad.orgspa
dc.relation.referencesEyharabide, V., Gasparini, I., Schiaffino, S., Pimenta, M., & Amandi, A. (2009). Personalized e-learning environments: Considering students’ contexts. IFIP Advances in Information and Communication Technology, 302 AICT, 48–57. https://doi.org/10.1007/978-3-642-03115-1_5spa
dc.relation.referencesFecher, B., & Friesike, S. (2014). Open Science: One Term, Five Schools of Thought. In S. Bartling & S. Friesike (Eds.), Opening Science: The Evolving Guide on How the Internet is Changing Research, Collaboration and Scholarly Publishing (pp. 17–47). Springer International Publishing. https://doi.org/10.1007/978-3-319-00026-8_2spa
dc.relation.referencesFerreras-Fernández, T., Merlo-Vega, J. A., & García-Peñalvo, F. J. (2013). Science 2.0 supported by open access repositories and open linked data. Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality - TEEM ’13. https://doi.org/10.1145/2536536.2536586spa
dc.relation.referencesFonseca, J. M. C., Calleros, J. M. G., Meixner, G., Paternò, F., Pullmann, J., Raggett, D., Schwabe, D., & Vanderdonckt, J. (2010). Model-Based UI XG Final Report. W3C Incubator Group Report, May, 32. https://www.w3.org/2005/Incubator/model-based-ui/XGR-mbui/#the-context-of-usespa
dc.relation.referencesFranciosa, J. A. (2012). Protocol Development and Preparation for a Clinical Trial. In P. G. Supino & J. S. Bore (Eds.), Principles of Research Methodology (pp. 111–129). Springer. https://doi.org/10.1007/978-1-4614-3360-6spa
dc.relation.referencesFriedrich, M., Niemann, K., Scheffel, M., Schmitz, H. C., & Wolpers, M. (2007). Object Recommendation based on Usage Context. Educational Technology & Society, 3(10), 106–121.spa
dc.relation.referencesGarcia-Silva, A., Gomez-Perez, J. M., Palma, R., Marcin, K., Mantovani, S., Foglini, F., Grande, V., De Leo, F., Salvi, S., Trasati, E., Romaniello, V., Albani, M., Silvagni, C., Leone, R., Marelli, F., Albani, S., Lazzarini, M., Napier, H. J., Glaves, H. M., … Ilkay. (2018). Enabling FAIR Research in Earth Science through Research Objects (pp. 1–19). arXiv.spa
dc.relation.referencesGarcía J., Y., García Y.S., M., & González B., S. M. (2012). Semantic Characterization of Context of Use and Contents for User-Centric Media Retrieval. User Centric Media. UCMEDIA 2010, 60, 20–25. https://doi.org/978-3-642-35145-7_3spa
dc.relation.referencesGarijo, D., & Gil, Y. (2012). Augmenting PROV with plans in P-PLAN: Scientific processes as linked data. CEUR Workshop Proceedings, 951.spa
dc.relation.referencesGiles, C. L., Bollacker, K. D., & Lawrence, S. (1998). CiteSeer: An Automatic Citation Indexing System. Digital Libraries 98: Third ACM Conference on Digital Libraries. https://doi.org/10.1145/276675.276685spa
dc.relation.referencesGipp, B., Beel, J., & Hentschel, C. (2009). Scienstein : A Research Paper Recommender System. Scienstein : A Research Paper Recommender System. https://doi.org/10.1109/WI.2006.149spa
dc.relation.referencesGiraldo, O. (2017). SMART Protocols. http://vocab.linkeddata.es/SMARTProtocols/spa
dc.relation.referencesGiraldo, O., Garcia, A., & Corcho, O. (2018). A guideline for reporting experimental protocols in life sciences. PeerJ, 6, e4795. https://doi.org/10.7717/peerj.4795spa
dc.relation.referencesGiraldo, O., García, A., & Corcho, O. (2014). SMART protocols: SeMAntic representation for experimental protocols. CEUR Workshop Proceedings, 1282, 36–47.spa
dc.relation.referencesGiraldo, O., García, A., López, F., & Corcho, O. (2017). Using semantics for representing experimental protocols. Journal of Biomedical Semantics, 8(1). https://doi.org/10.1186/s13326-017-0160-yspa
dc.relation.referencesGoderis, A., Li, P., & Goble, C. (2006). Workflow discovery: The problem, a case study from e-Science and a graph-based solution. Proceedings - ICWS 2006: 2006 IEEE International Conference on Web Services, 312–319. https://doi.org/10.1109/ICWS.2006.147spa
dc.relation.referencesGolub H, G., & Van Loan, C. F. (1996). Matrix Computations (1985 (ed.)). Johns Hopkins University Press.spa
dc.relation.referencesGomez-Perez, J. M., Palma, R., & Garcia-Silva, A. (2017). Towards a human-machine scientific partnership based on semantically rich research objects. Proceedings - 13th IEEE International Conference on EScience, EScience 2017. https://doi.org/10.1109/eScience.2017.40spa
dc.relation.referencesGomez-Uribe, C. A., & Hunt, N. (2015). The Netflix Recommender System. ACM Transactions on Management Information Systems. https://doi.org/10.1145/2843948spa
dc.relation.referencesHane, P. J. (2013). Sharing Research Data—New figshare For Institutions. Against The Grain. http://www.against-the-grain.com/2013/09/sharing-research-data-new-figshare-for-institutions-2/spa
dc.relation.referencesHolmes, J. (2015). How Methods Videos Are Making Science Smarter. The New Yorker. https://www.newyorker.com/tech/elements/how-methods-videos-are-making-science-smarterspa
dc.relation.referencesImran, H., Belghis-Zadeh, M., Chang, T.-W., Kinshuk, & Graf, S. (2016). PLORS: a personalized learning object recommender system. Vietnam Journal of Computer Science, 3(1), 3–13. https://doi.org/10.1007/s40595-015-0049-6spa
dc.relation.referencesInzunza, S., Juárez-Ramírez, R., & Ramírez-Noriega, A. (2016). User and Context Information in Context-Aware Recommender Systems: A Systematic Literature Review. In New Advances in Information Systems and Technologies (Issue 444, pp. 649–658). Springer International. https://doi.org/10.1007/978-3-319-31232-3_61spa
dc.relation.referencesIsinkaye, F. O., Folajimi, Y. O., & Ojokoh, B. A. (2015). Recommendation systems: Principles, methods and evaluation. Egyptian Informatics Journal, 16(3), 261–273. https://doi.org/https://doi.org/10.1016/j.eij.2015.06.005spa
dc.relation.referencesISO. (1998). ISO 9241-11. Ergonomic Requirements for Office Work with Visual Display Terminals (VDTs) -- Part 11: Guidance on Usability. http://www.iso.org/iso/catalogue_detail.htm?csnumber=16883spa
dc.relation.referencesIvanov, G.-B. (2018). Introduction to NLTK. In Natural Language Processing For Hackers (pp. 1–13). Manning Publications.spa
dc.relation.referencesJack, K., Hammerton, J., Harvey, D., Hoyt, J. J., Reichelt, J., & Henning, V. (2010). Mendeley’s Reply to the DataTEL Challenge. Procedia Computer Science. https://doi.org/doi:10.1037/rmh0000008spa
dc.relation.referencesJannach, D., Zanker, M., Felfernig, A., & Friedrich, G. (2010). Recommender Systems: An Introduction (1st ed.). Cambridge University Press.spa
dc.relation.referencesJannach, D., Zanker, M., Felfernig, A., & Gerhard, F. (2012). Content-Based Recomendation. In Recommender Systems an Introduction. Cambridge University Press.spa
dc.relation.referencesJoVE. (2018). JoVE - Video Journal. https://www.jove.com/spa
dc.relation.referencesKandogan, E., Roth, M., Schwarz, P., Hui, J., Terrizzano, I., Christodoulakis, C., & Miller, R. J. (2015). LabBook: Metadata-driven social collaborative data analysis. 2015 IEEE International Conference on Big Data (Big Data), 431–440. https://doi.org/10.1109/BigData.2015.7363784spa
dc.relation.referencesKnoth, P., Anastasiou, L., Charalampous, A., Cancellieri, M., Pearce, S., Pontika, N., & Bayer, V. (2017). Towards effective research recommender systems for repositories. ArXiv Preprint ArXiv:1705.00578. https://arxiv.org/ftp/arxiv/papers/1705/1705.00578.pdfspa
dc.relation.referencesKunert, T. (2009). Interactive TV Applications and Their Context of Use. In User-centered Interaction Design Patterns for Interactive Digital Television Applications (pp. 19–47). Springer-Verlag. https://doi.org/10.1007/978-1-84882-275-7spa
dc.relation.referencesLabArchives LLC. (2018). LabArchives - Notebook. https://www.labarchives.comspa
dc.relation.referencesLane, H., Howard, C., & Hapke, M. H. (2019a). Build your vocabulary (word tokenization). In Natural Language Processing in Action. (pp. 30–69).spa
dc.relation.referencesLane, H., Howard, C., & Hapke, M. H. (2019b). Math with words (TD-IDF vectors). In Natural Language Processing in Action (pp. 70–96). Manning Publications.spa
dc.relation.referencesLee, H., Choi, Y., & Kim, Y.-J. (2011). An adaptive user interface based on spatiotemporal structure learning. IEEE Communications Magazine, 49(6), 118–124. https://doi.org/10.1109/MCOM.2011.5783996spa
dc.relation.referencesLichtnow, D., Gasparini, I., Bouzeghoub, A., De Oliveira, J. P. M., & Pimenta, M. S. (2011). Recommendation of learning material through studentś collaboration and user modeling in an adaptive e-learning environment. In Studies In Computational Intelligence (Vol. 350, pp. 257–278). Springer-Verlag. https://doi.org/10.1007/978-3-642-19814-4_12spa
dc.relation.referencesLika, B., Kolomvatsos, K., & Hadjiefthymiades, S. (2014). Facing the cold start problem in recommender systems. Expert Systems with Applications, 41(4), 2065–2073. https://doi.org/10.1016/J.ESWA.2013.09.005spa
dc.relation.referencesLops, P., de Gemmis, M., & Semeraro, G. (2011). Content-based Recommender Systems: State of the Art and Trends. In Recommender Systems Handbook (pp. 73–105). Springer Science+Business Media. https://doi.org/10.1007/978-0-387-85820-3_3spa
dc.relation.referencesLynch, M. (2002). Protocols, practices, and the reproduction of technique in molecular biology. British Journal of Sociology, 53(2), 203–220. https://doi.org/10.1080/00071310220133304spa
dc.relation.referencesMaccagnan, A., Riva, M., Feltrin, E., Simionati, B., Vardanega, T., Valle, G., & Cannata, N. (2010). Combining ontologies and workflows to design formal protocols for biological laboratories. Automated Experimentation, 2, 3. https://doi.org/10.1186/1759-4499-2-3spa
dc.relation.referencesMaguire, M. (2001). Context of use within usability activities. International Journal of Human Computer Studies, 55(4), 453–483. https://doi.org/10.1006/ijhc.2001.0486spa
dc.relation.referencesMeza Ochoa, V. E. (2013). Guía de Laboratorio de Mecánica de Suelos. Politécnico Colombiano Jaime Isaza Cadavid.spa
dc.relation.referencesMikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013). Distributed Representations of Words and Phrases and their Compositionality.spa
dc.relation.referencesMiller, B. N., Albert, I., Lam, S. K., Konstan, J. A., & Riedl, J. (2003). MovieLens Unplugged: Experiences with an OccasionallyConnected Recommender Systems. IUI ’03: Proceedings of the 8th International Conference on Intelligent User Interfaces.spa
dc.relation.referencesMolina Fernández, L. E. (2018). Recommendation System for Netflix. Vrije Universiteit Faculty of Science Business Analytics.spa
dc.relation.referencesNature. (2012). Access all areas. Nature. https://doi.org/10.1038/481409aspa
dc.relation.referencesNature Publishing Group. (2018). Protocol Exchange. https://www.nature.com/protocolexchange/protocols/spa
dc.relation.referencesNiemann, K. (2015). Automatic tagging of learning objects based on their usage in web portals. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9307, 240–253. https://doi.org/10.1007/978-3-319-24258-3_18spa
dc.relation.referencesNiemann, K., & Wolpers, M. (2015). Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning. IEEE Transactions on Learning Technologies, 8(3), 274–285. https://doi.org/10.1109/TLT.2014.2379261spa
dc.relation.referencesOlmedo B., C. (2015). RESSIST: A Research Object-based Recommender System. Universidad Politécnica de Madrid.spa
dc.relation.referencesOpentrons. (2018). Opentrons. https://opentrons.com/spa
dc.relation.referencesOpenWetWare Contributors. (2017). OpenWetWare. https://openwetware.orgspa
dc.relation.referencesOrthmann, M. A., Friedrich, M., Kirschenmann, U., Niemann, K., Scheffel, M., Schmitz, H. C., & Wolpers, M. (2011). Usage-based clustering of learning objects for recommendation. Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011, 553–557. https://doi.org/10.1109/ICALT.2011.169spa
dc.relation.referencesPalma, R., Holubowicz, P., Corcho, O., Gómez-Pérez, J. M., & Mazurek, C. (2014). Rohub - A digital library of research objects supporting scientists towards reproducible science. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-319-12024-9_9spa
dc.relation.referencesPardo M., C. I. (2017). Los nuevos retos para generar conocimiento en Colombia. Portafolio. http://www.portafolio.co/economia/la-ciencia-abierta-el-elemento-clave-de-la-del-conocimiento-508673spa
dc.relation.referencesParker, J., & Hollister, D. (2014). The Cognitive Science Basis for Contex. In Context in Computing (pp. 205–219). Springer. https://doi.org/978-1-4939-1887-4_14spa
dc.relation.referencesPazzani, M., & Billsus, D. (2007). Content-Based Recommendation Systems The Adaptive Web. In The Adaptive Web (Vol. 4321, pp. 325–341). https://doi.org/10.1007/978-3-540-72079-9_10spa
dc.relation.referencesPeska, L. (2016). Using the Context of User Feedback in Recommender Systems. In J. Bouda, L. Hol\’\ik, J. Kofron, J. Strejcek, & A. Rambousek (Eds.), Proceedings 11th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, {MEMICS} 2016, Telč, Czech Republic, 21st-23rd October 2016. (Vol. 233, pp. 1–12). https://doi.org/10.4204/EPTCS.233.1spa
dc.relation.referencesPetertonkoker, J., Reinhardt, W., Surve, J., & Sureka, P. (2014). Scientific recommendations to enhance scholarly awareness and foster collaboration. In Recommender Systems for Technology Enhanced Learning: Research Trends and Applications. https://doi.org/10.1007/978-1-4939-0530-0_14spa
dc.relation.referencesPinheiro, M. K. (2006). Adaptation Contextuelle et Personnalisée de l’Information de Conscience de Groupe au sein des Systèmes d’Information Coopératifs. Université Joseph-Fourier - Grenoble I.spa
dc.relation.referencesRicci, F., Rokach, L., & Shapira, B. (2015a). Introduction to Recommender Systems Handbook. Recommender Systems Handbook, 54(OCTOBER), 1–35. https://doi.org/10.1007/978-0-387-85820-3_1spa
dc.relation.referencesRicci, F., Rokach, L., & Shapira, B. (2015b). Recommender Systems Handbook. In Springer-Verlag. https://doi.org/10.1007/978-0-387-85820-3spa
dc.relation.referencesSalton, G., Wong, A., & Yang, C. S. (1975). A vector space model for automatic indexing. Communications of the ACM. https://doi.org/10.1145/361219.361220spa
dc.relation.referencesSan Raffaele Ospedale. (n.d.). Experimental protocol and data tracking. Retrieved September 13, 2018, from http://research.hsr.it/en/research-integrity/experimental-protocol-and-data-tracking.htmlspa
dc.relation.referencesSchafer, J. Ben, Konstan, J. A., & Riedl, J. (2001). E-Commerce Recommendation Applications. In Applications of Data Mining to Electronic Commerce. https://doi.org/10.1007/978-1-4615-1627-9_6spa
dc.relation.referencesSciNote. (2018). SciNote. https://scinote.net/spa
dc.relation.referencesShani, G., & Gunawardana, A. (2011). Evaluating Recommendation Systems. In Recommender Systems Handbook (p. 283). Springer New York Dordrecht Heidelberg London.spa
dc.relation.referencesSitek, D., & Bertelmann, R. (2014). Open Access: A State of the Art. In S. Bartling & S. Friesike (Eds.), Opening Science: The Evolving Guide on How the Internet is Changing Research, Collaboration and Scholarly Publishing (pp. 139–153). Springer International Publishing. https://doi.org/10.1007/978-3-319-00026-8_9spa
dc.relation.referencesSoldatova, L. N., Aubrey, W., King, R. D., & Clare, A. (2008). The EXACT description of biomedical protocols. Bioinformatics, 24(13), 295–303. https://doi.org/10.1093/bioinformatics/btn156spa
dc.relation.referencesSoldatova, L. N., & King, R. D. (2006). An ontology of scientific experiments. Journal of Royal Society Interface, 3(June), 795–803. https://doi.org/10.1098/rsif.2006.0134spa
dc.relation.referencesSoldatova, L. N., Nadis, D., King, R. D., Basu, P. S., Haddi, E., Baumlé, V., Saunders, N. J., Marwan, W., & Rudkin, B. B. (2014a). EXACT2: the semantics of biomedical protocols. BMC Bioinformatics, 15 Suppl 1(Suppl 14), S5. https://doi.org/10.1186/1471-2105-15-S14-S5spa
dc.relation.referencesSoldatova, L. N., Nadis, D., King, R. D., Basu, P. S., Haddi, E., Baumlé, V., Saunders, N. J., Marwan, W., & Rudkin, B. B. (2014b). EXACT2: The semantics of biomedical protocols. BMC Bioinformatics, 15(14). https://doi.org/10.1186/1471-2105-15-S14-S5spa
dc.relation.referencesSon, L. H. (2016). Dealing with the new user cold-start problem in recommender systems: A comparative review. Information Systems, 58, 87–104. https://doi.org/10.1016/j.is.2014.10.001spa
dc.relation.referencesSpidlen, J., Breuer, K., Rosenberg, C., Kotecha, N., & Brinkman, R. R. (2012). FlowRepository: A resource of annotated flow cytometry datasets associated with peer-reviewed publications. Cytometry Part A, 81A(9), 727–731. https://doi.org/10.1002/cyto.a.22106spa
dc.relation.referencesSpringer Nature. (2018). Springer Nature Experiments. https://experiments.springernature.com/spa
dc.relation.referencesStuder, R., Benjamins, V., & Fensel, D. (1998). Knowledge engineering: principles and methods. Data Knowledge Engineering, 25(1–2), 161–197. https://doi.org/10.1016/S0169-023X(97)00056-6spa
dc.relation.referencesSwiss Institute of Bioinformatics. (2018). Swiss-Model. https://swissmodel.expasy.org/repositoryspa
dc.relation.referencesTeytelman, L., Stoliartchouk, A., Kindler, L., & Hurwitz, B. L. (2016). Protocols.io: Virtual Communities for Protocol Development and Discussion. PLoS Biology. https://doi.org/10.1371/journal.pbio.1002538spa
dc.relation.referencesThe CellML Project. (2018). cellML. https://www.cellml.orgspa
dc.relation.referencesTing, K. M. (2010). Precision and Recall. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning (p. 781). Springer US. https://doi.org/10.1007/978-0-387-30164-8_652spa
dc.relation.referencesTorres, I.-D., Guzmán-Luna, J., & Moreno, F. (2018). Automatic Workflow Scientific Model for Lab Test in Civil Engineering. International Journal of Applied Engineering Research, 13(9), 6529–6535. https://www.ripublication.com/ijaer18/ijaerv13n9_06.pdfspa
dc.relation.referencesTorres, I., Guzmán, J., & Moreno, F. (2017). Semántica para un sistema de recuperación de protocolos experimentales en ingeniería civil. Coloquio de Investigación Multidisciplinaria, 5(2), 753.spa
dc.relation.referencesTreat-NMD Neuromuscular Network. (2018). Experimental Protocols for DMD animal models. http://www.treat-nmd.eu/research/preclinical/dmd-sops/spa
dc.relation.referencesUC San Diego. (2018). The Metabolomics Workbench. http://www.metabolomicsworkbench.org/spa
dc.relation.referencesUtrecht University. (2018). Search Repository. https://uilots-labs.wp.hum.uu.nl/resources/search-resources/spa
dc.relation.referencesVäätäjä, H. (2015). Characterizing the context of use in mobile work. IFIP Advances in Information and Communication Technology, 468, 97–113. https://doi.org/10.1007/978-3-319-27048-7_7spa
dc.relation.referencesValdestilhas, A., Kosch, H., & Marcotti, P. (2014). User-centric and personalized access to mobile multimedia systems based on a multimedia middleware. Proceedings - 14th International Conference on Computational Science and Its Applications, ICCSA 2014, 260–263. https://doi.org/10.1109/ICCSA.2014.60spa
dc.relation.referencesVerbert K.; Manouselis, N. . O. X. . W. M. . D. H. . B. I. . D. E. (2012). Context-Aware Recommender Systems for Learning: A Survey and Future Challenges. Learning Technologies, IEEE Transactions On, 5(4), 318–335. https://doi.org/10.1109/TLT.2012.11spa
dc.relation.referencesWolstencroft, K., Krebs, O., Snoep, J. L., Stanford, N. J., Bacall, F., Golebiewski, M., Kuzyakiv, R., Nguyen, Q., Owen, S., Soiland-Reyes, S., Straszewski, J., Van Niekerk, D. D., Williams, A. R., Malmström, L., Rinn, B., Müller, W., & Goble, C. (2017). FAIRDOMHub: A repository and collaboration environment for sharing systems biology research. Nucleic Acids Research. https://doi.org/10.1093/nar/gkw1032spa
dc.relation.referencesXu, Z., Zhang, F., Wang, W., Liu, H., & Kong, X. (2016). Exploiting Trust and Usage Context for Cross-Domain Recommendation. IEEE Access, 4, 2398–2407. https://doi.org/10.1109/ACCESS.2016.2566658spa
dc.relation.referencesXue, N., Jia, S. ling, Hao, J. xing, & Wang, Q. (2013). Ontology based scientific keywords recommendation system under web 2.0. International Journal of Emerging Technologies in Learning. https://doi.org/10.3991/ijet.v8i4.2942spa
dc.relation.referencesYachie, N., Consortium, R. B., & Natsume, T. (2017). Robotic crowd biology with Maholo LabDroids. In Nature Biotechnology. https://doi.org/10.1038/nbt.3758spa
dc.relation.referencesZakrzewska, D. (2009). Cluster analysis in personalized e-learning systems. Studies in Computational Intelligence, 252, 229–250. https://doi.org/10.1007/978-3-642-04170-9_10spa
dc.relation.referencesZakrzewska, D. (2011). Building context-aware group recommendations in E-learning systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6922 LNAI(PART 1), 132–141. https://doi.org/10.1007/978-3-642-23935-9_13spa
dc.relation.referencesZheng, Y. (2016). Tutorial: Context-Awareness In Information Retrieval and Recommender Systems. The 16th IEEE/WIC/ACM Conference on Web Intelligence. https://yongzhengme.wordpress.com/publications/spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadoresspa
dc.subject.lembIngeniería civil
dc.subject.proposalProtocolo experimentalspa
dc.subject.proposalSistemas de recomendaciónspa
dc.subject.proposalIngeniería civilspa
dc.subject.proposalExperimental protocoleng
dc.subject.proposalRecommendation systemseng
dc.subject.proposalCivil engineeringeng
dc.titleUn modelo de recomendación de protocolos experimentales basado en el contexto de uso del usuariospa
dc.title.translatedA recommendation model of experimental protocols based on the user context of useeng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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