RDF query and protocols language using for description and representation of web ontologies
Date
2020-02-29
2020-02-29
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Abstract
The purpose of this article is to expose the metadata structure based on RDF (Resource Description Framework) and the way in which queries can be made using SPARQL (Protocol and RDF Query Language), as a principle for searching the Semantic Web. It also describes what must be considered to build a Web Ontology and the tools that can help the Software developer to make querys using SPARQL.
Referencias:
[1] Alobaid, A., Garijo, D., Poveda-Villalón, M., Santana-Perez, I., Fernández-Izquierdo, A., & Corcho, O. (2019). Automating ontology engineering support activities with OnToology. Journal of Web Semantics, 57, 100472.
[2] Fernández-López, M., Poveda-Villalón, M., SuárezFigueroa, M. C., & Gómez-Pérez, A. (2019). Why are ontologies not reused across the same domain?. Journal of Web Semantics, 57, 100492.
[3] Piñeres-Melo, M. A., Ariza-Colpas, P. P., NietoBernal, W., & Morales-Ortega, R. (2019, July). SSwWS: Structural Model of Information Architecture. In International Conference on Swarm Intelligence (pp. 400-410). Springer, Cham.
[4] Ariza-Colpas, P. P., Piñeres-Melo, M. A., NietoBernal, W., & Morales-Ortega, R. (2019, July). WSIA: Web Ontological Search Engine Based on Smart Agents Applied to Scientific Articles. In International Conference on Swarm Intelligence (pp. 338-347). Springer, Cham.
[5] Leão, F., Revoredo, K., & Baião, F. (2019). Extending WordNet with UFO foundational ontology. Journal of Web Semantics, 57, 100499.
[6] Mutawa, A. M., & Alzuwawi, M. A. (2019). Multilayered rule-based expert system for diagnosing uveitis. Artificial Intelligence in Medicine, 99, 101691.
[7] Canizares, P. C., Núnez, A., & de Lara, J. (2019). An expert system for checking the correctness of memory systems using simulation and metamorphic testing. Expert Systems with Applications, 132, 4462.
[8] Nikzad–Khasmakhi, N., Balafar, M. A., & Feizi–Derakhshi, M. R. (2019). The state-of-the-art in expert recommendation systems. Engineering Applications of Artificial Intelligence, 82, 126-147.
[9] Gao, H., Jiang, G., Gao, X., Xiao, J., & Wang, H. (2019). An equine disease diagnosis expert system based on improved reasoning of evidence credibility. Information Processing in Agriculture, 6(3), 414423.
[10] Gu, W., Foster, K., Shang, J., & Wei, L. (2019). A game-predicting expert system using big data and machine learning. Expert Systems with Applications, 130, 293-305.
[11] Aivaliotis, P., Aivaliotis, S., Gkournelos, C., Kokkalis, K., Michalos, G., & Makris, S. (2019). Power and force limiting on industrial robots for human-robot collaboration. Robotics and Computer- A. (2019, July). Enkephalon-Technological Platform to Support the Diagnosis of Alzheimer’s Disease Through the Analysis of Resonance Images Using Data Mining Techniques. In International Conference on Swarm Intelligence (pp. 211-220). Integrated Manufacturing, 59, 346-360. [23] Ariza-Colpas, P., Morales-Ortega, R., Piñeres-Springer, Cham.
[12] Langer, A., Feingold-Polak, R., Mueller, O., Kellmeyer, P., & Levy-Tzedek, S. (2019). Trust in Socially Assistive Robots: Considerations for use in Rehabilitation. Neuroscience & Biobehavioral Reviews.
[13] Benlice, C., Demirkaya, A., Aghayeva, A., Baca, Melo, M., De la Hoz-Franco, E., Echeverri-Ocampo, I., & Salas-Navarro, K. (2019, July). Parkinson Disease Analysis Using Supervised and Unsupervised Techniques. In International Conference on Swarm Intelligence (pp. 191-199). B., Hamzaoglu, I., & Karahasanoglu, T. (2019). [24] De-La-Hoz-Franco, E., Ariza-Colpas, P., Quero, J. 196–Totally Robotic Ivor-Lewis Esophagectomy M., & Espinilla, M. (2018). Sensor-based datasets with Intrathoracic Robot-Sewn Anastomosis for for human activity recognition–A systematic review Cardioesophageal Cancer with the Da Vinci Xi. of literature. IEEE Access, 6, 59192-59210. Gastroenterology, 156(6), S-1386. [25] Calabria-Sarmiento, J. C., Ariza-Colpas, P.,
[14] Tsompanas, M. A., Fullarton, C., & Adamatzky, A. Pineres-Melo, M., Ayala-Mantilla, C., Urina-Triana, (2019). Belousov-Zhabotinsky liquid marbles in M., Morales-Ortega, R., ... & Echeverri-Ocampo, I. robot control. Sensors and Actuators B: Chemical, (2018). Software applications to health sector: A 295, 194-203. systematic review of literature.
[15] Deutsch, I., Erel, H., Paz, M., Hoffman, G., & [26] AKT Definition. Available Advances Knowledge Zuckerman, O. (2019). Home robotic devices for AKT http://www.aktors.org/akt/ older adults: Opportunities and concerns. Computers [27] ASG Definition. Available: http://asgin Human Behavior, 98, 122-133. platform.org/cgi-bin/twiki/view/Public/WebHome
[16] Feng, X., Jiang, Y., Yang, X., Du, M., & Li, X. [28] Cruz-Cunha, M. M. (Ed.). (2009). Handbook of (2019). Computer vision algorithms and hardware Research on Social Dimensions of Semantic implementations: A survey. Integration. Technologies and Web Services. IGI Global.
[17] Teo, C., Giffard, P., Johnston, V., & Treleaven, J. [29] Euzenat, J., Fensel, D., Lara, R., & Pérez, A. G. (2019). Computer vision symptoms in people with (2004, November). Knowledge web: realising the and without neck pain. Applied Ergonomics, 80, 50- semantic web... all the way to knowledge-enhanced 56. multimedia documents.
[18] Zhong, B., Wu, H., Ding, L., Love, P. E., Li, H., [30] IMS Global Definition Available: Luo, H., & Jiao, L. (2019). Mapping computer http://www.imsglobal.org vision research in construction: Developments, [31] OpenKnowledge Definition. Available: knowledge gaps and implications for research. http://www.openk.org/ Automation in Construction, 107, 102919. [26] Palechor, F. M., De la Hoz Manotas, A., Colpas, P.
[19] Taheri-Garavand, A., Fatahi, S., Omid, M., & A., Ojeda, J. S., Ortega, R. M., & Melo, M. P. Makino, Y. (2019). Meat quality evaluation based (2017). Cardiovascular Disease Analysis Using on computer vision technique: A review. Meat Supervised and Unsupervised Data Mining science. Techniques. JSW, 12(2), 81-90.
[20] Maitre, J., Bouchard, K., & Bédard, L. P. (2019). [27] Mendoza-Palechor, F. E., Ariza-Colpas, P. P., Mineral grains recognition using computer vision Sepulveda-Ojeda, J. A., De-la-Hoz-Manotas, A., & and machine learning. Computers & Geosciences, Piñeres Melo, M. (2016). Fertility Analysis Method 130, 84-93. Based on Supervised and Unsupervised Data Mining
[21] Ariza-Colpas, P., Oviedo-Carrascal, A. I., & De-la- Techniques. hoz-Franco, E. (2019, July). Using K-Means [28] Palechor, M., Enrique, F., De La Hoz Manotas, A. Algorithm for Description Analysis of Text in RSS K., De La Hoz Franco, E., & Ariza Colpas, P. P. News Format. In International Conference on Data (2015). Feature selection, learning metrics and Mining and Big Data (pp. 162-169). Springer, dimension reduction in training and classification Singapore. processes in intrusion detection systems.
[22] Ariza-Colpas, P., Piñeres-Melo, M., Barceló [29] - Champin, P.-A. Fundamental concepts (RDF). Martinez, E., De la Hoz-Franco, E., BenitezAgudelo, J., Gelves-Ospina, M., ... & Leon-Jacobus, Springer, Cham.
[23] Ariza-Colpas, P., Morales-Ortega, R., Piñeres-Melo, M., De la Hoz-Franco, E., Echeverri-Ocampo, I., & Salas-Navarro, K. (2019, July). Parkinson Disease Analysis Using Supervised and Unsupervised Techniques. In International Conference on Swarm Intelligence (pp. 191-199). Springer, Cham.
[24] De-La-Hoz-Franco, E., Ariza-Colpas, P., Quero, J. M., & Espinilla, M. (2018). Sensor-based datasets for human activity recognition–A systematic review of literature. IEEE Access, 6, 59192-59210.
[25] Calabria-Sarmiento, J. C., Ariza-Colpas, P., Pineres-Melo, M., Ayala-Mantilla, C., Urina-Triana, M., Morales-Ortega, R., ... & Echeverri-Ocampo, I. (2018). Software applications to health sector: A systematic review of literature.
[26] AKT Definition. Available Advances Knowledge AKT http://www.aktors.org/akt/
[27] ASG Definition. Available: http://asgplatform. org/cgi-bin/twiki/view/Public/WebHome
[28] Cruz-Cunha, M. M. (Ed.). (2009). Handbook of Research on Social Dimensions of Semantic Technologies and Web Services. IGI Global.
[29] Euzenat, J., Fensel, D., Lara, R., & Pérez, A. G.(2004, November). Knowledge web: realising the semantic web... all the way to knowledge-enhanced multimedia documents.
[30] IMS Global Definition Available: http://www.imsglobal.org
[31] OpenKnowledge Definition. Available: http://www.openk.org/
[26] Palechor, F. M., De la Hoz Manotas, A., Colpas, P. A., Ojeda, J. S., Ortega, R. M., & Melo, M. P. (2017). Cardiovascular Disease Analysis Using Supervised and Unsupervised Data Mining Techniques. JSW, 12(2), 81-90.
[27] Mendoza-Palechor, F. E., Ariza-Colpas, P. P., Sepulveda-Ojeda, J. A., De-la-Hoz-Manotas, A., & Piñeres Melo, M. (2016). Fertility Analysis Method Based on Supervised and Unsupervised Data Mining Techniques.
[28] Palechor, M., Enrique, F., De La Hoz Manotas, A. K., De La Hoz Franco, E., & Ariza Colpas, P. P. (2015). Feature selection, learning metrics and dimension reduction in training and classification processes in intrusion detection systems.
[29] Champin, P.-A. Fundamental concepts (RDF).
[30] SPARQL Query Language for RDF. (2006- 2007). Recuperado el Enero de 2009, de http://www.w3.org/TR/rdf-sparql-query/
[31] W3C World Wide Web Consortium. (2007). “SPARQL Query Results XML Format.”. Retrieved 10/08/2007, de: http://www.w3.org/TR/rdf-sparql- XMLres/.
[32] D. Beckett, “SPARQL RDF Query Language Reference v1.8,” 2006.
[33] Dodds, Leigh. Twinkle: A SPARQL Query Tool. Recuperado en Octubre 14 de 2010 de: http://www.ldodds.com/projects/twinkle/
[34] Stanford Center for Biomedical Informatics Research. Recuperado en Octubre 14 de 2010 de: http://protege.stanford.edu/
[35] Peter F. Patel-Schneider, I. H. (2004). OWL Web Ontology Language Semantics and Abstract Syntax. Recuperado el Enerode 2009, de http://www.w3.org/TR/owl-semantics/ syntax.html
[36] Matthew Horridge, H. K. (27 de Agosto de 2004). Practical Guide To Building OWL Ontologies Using The Protégé-OWL Plugin and CO-ODE Tools. Recuperado el 5 de Noviembre de 2008, de http://www.coode.org/resources/tutorials/ProtegeOWLTutorial.pdf
[37] Gil, C., Diaz, J., Orozco, M., De La Hoz, A., De La Hoz, E., & Morales, R. (2016). Agile Testing Practices in Software Quality: State of the Art Review.
[38] Jimeno-Gonzalez, Karen., Ariza-Colpas, Paola., Piñeres-Melo, Marlon., Gobierno de TI en Pymes Colombianas ¿Mito o Realidad?(2017) Espacios. 38(57) 7-19.
[39] Caicedo-Ortiz, J. G., De-la-Hoz-Franco, E., Ortega, R. M., Piñeres-Espitia, G., Combita-Niño, H., Estévez, F., & Cama-Pinto, A. (2018). Monitoring system for agronomic variables based in WSN technology on cassava crops. Computers and Electronics in Agriculture, 145, 275-281.
[40] Echeverry Ocampo, Isabel., Urina-Triana, Miguel., Mantilla Mirary., Ariza-Colpas Paola (2018) El trabajo colaborativo entre ingenieros y personal de la salud para el desarrollo de proyectos en salud digital: una visión al futuro para lograr tener éxito. Archivos Venezolanos de Farmacología y Terapeutica, 37(4):400-405
[41] Guerrero, Hilda, Shirly Polo, and Judith Martinez Royer Paola Ariza. "Trabajo colaborativo como estrategia didáctica para el desarrollo del pensamiento crítico." Opción 34.86 (2018): 959-986.
[42] Ariza, P., Pineres, M., Santiago, L., Mercado, N., & De la Hoz, A. (2014, November). Implementation of moprosoft level I and II in software development companies in the colombian caribbean, a commitment to the software product quality region. In 2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV) (pp. 1-5). IEEE.
[1] Alobaid, A., Garijo, D., Poveda-Villalón, M., Santana-Perez, I., Fernández-Izquierdo, A., & Corcho, O. (2019). Automating ontology engineering support activities with OnToology. Journal of Web Semantics, 57, 100472.
[2] Fernández-López, M., Poveda-Villalón, M., SuárezFigueroa, M. C., & Gómez-Pérez, A. (2019). Why are ontologies not reused across the same domain?. Journal of Web Semantics, 57, 100492.
[3] Piñeres-Melo, M. A., Ariza-Colpas, P. P., NietoBernal, W., & Morales-Ortega, R. (2019, July). SSwWS: Structural Model of Information Architecture. In International Conference on Swarm Intelligence (pp. 400-410). Springer, Cham.
[4] Ariza-Colpas, P. P., Piñeres-Melo, M. A., NietoBernal, W., & Morales-Ortega, R. (2019, July). WSIA: Web Ontological Search Engine Based on Smart Agents Applied to Scientific Articles. In International Conference on Swarm Intelligence (pp. 338-347). Springer, Cham.
[5] Leão, F., Revoredo, K., & Baião, F. (2019). Extending WordNet with UFO foundational ontology. Journal of Web Semantics, 57, 100499.
[6] Mutawa, A. M., & Alzuwawi, M. A. (2019). Multilayered rule-based expert system for diagnosing uveitis. Artificial Intelligence in Medicine, 99, 101691.
[7] Canizares, P. C., Núnez, A., & de Lara, J. (2019). An expert system for checking the correctness of memory systems using simulation and metamorphic testing. Expert Systems with Applications, 132, 4462.
[8] Nikzad–Khasmakhi, N., Balafar, M. A., & Feizi–Derakhshi, M. R. (2019). The state-of-the-art in expert recommendation systems. Engineering Applications of Artificial Intelligence, 82, 126-147.
[9] Gao, H., Jiang, G., Gao, X., Xiao, J., & Wang, H. (2019). An equine disease diagnosis expert system based on improved reasoning of evidence credibility. Information Processing in Agriculture, 6(3), 414423.
[10] Gu, W., Foster, K., Shang, J., & Wei, L. (2019). A game-predicting expert system using big data and machine learning. Expert Systems with Applications, 130, 293-305.
[11] Aivaliotis, P., Aivaliotis, S., Gkournelos, C., Kokkalis, K., Michalos, G., & Makris, S. (2019). Power and force limiting on industrial robots for human-robot collaboration. Robotics and Computer- A. (2019, July). Enkephalon-Technological Platform to Support the Diagnosis of Alzheimer’s Disease Through the Analysis of Resonance Images Using Data Mining Techniques. In International Conference on Swarm Intelligence (pp. 211-220). Integrated Manufacturing, 59, 346-360. [23] Ariza-Colpas, P., Morales-Ortega, R., Piñeres-Springer, Cham.
[12] Langer, A., Feingold-Polak, R., Mueller, O., Kellmeyer, P., & Levy-Tzedek, S. (2019). Trust in Socially Assistive Robots: Considerations for use in Rehabilitation. Neuroscience & Biobehavioral Reviews.
[13] Benlice, C., Demirkaya, A., Aghayeva, A., Baca, Melo, M., De la Hoz-Franco, E., Echeverri-Ocampo, I., & Salas-Navarro, K. (2019, July). Parkinson Disease Analysis Using Supervised and Unsupervised Techniques. In International Conference on Swarm Intelligence (pp. 191-199). B., Hamzaoglu, I., & Karahasanoglu, T. (2019). [24] De-La-Hoz-Franco, E., Ariza-Colpas, P., Quero, J. 196–Totally Robotic Ivor-Lewis Esophagectomy M., & Espinilla, M. (2018). Sensor-based datasets with Intrathoracic Robot-Sewn Anastomosis for for human activity recognition–A systematic review Cardioesophageal Cancer with the Da Vinci Xi. of literature. IEEE Access, 6, 59192-59210. Gastroenterology, 156(6), S-1386. [25] Calabria-Sarmiento, J. C., Ariza-Colpas, P.,
[14] Tsompanas, M. A., Fullarton, C., & Adamatzky, A. Pineres-Melo, M., Ayala-Mantilla, C., Urina-Triana, (2019). Belousov-Zhabotinsky liquid marbles in M., Morales-Ortega, R., ... & Echeverri-Ocampo, I. robot control. Sensors and Actuators B: Chemical, (2018). Software applications to health sector: A 295, 194-203. systematic review of literature.
[15] Deutsch, I., Erel, H., Paz, M., Hoffman, G., & [26] AKT Definition. Available Advances Knowledge Zuckerman, O. (2019). Home robotic devices for AKT http://www.aktors.org/akt/ older adults: Opportunities and concerns. Computers [27] ASG Definition. Available: http://asgin Human Behavior, 98, 122-133. platform.org/cgi-bin/twiki/view/Public/WebHome
[16] Feng, X., Jiang, Y., Yang, X., Du, M., & Li, X. [28] Cruz-Cunha, M. M. (Ed.). (2009). Handbook of (2019). Computer vision algorithms and hardware Research on Social Dimensions of Semantic implementations: A survey. Integration. Technologies and Web Services. IGI Global.
[17] Teo, C., Giffard, P., Johnston, V., & Treleaven, J. [29] Euzenat, J., Fensel, D., Lara, R., & Pérez, A. G. (2019). Computer vision symptoms in people with (2004, November). Knowledge web: realising the and without neck pain. Applied Ergonomics, 80, 50- semantic web... all the way to knowledge-enhanced 56. multimedia documents.
[18] Zhong, B., Wu, H., Ding, L., Love, P. E., Li, H., [30] IMS Global Definition Available: Luo, H., & Jiao, L. (2019). Mapping computer http://www.imsglobal.org vision research in construction: Developments, [31] OpenKnowledge Definition. Available: knowledge gaps and implications for research. http://www.openk.org/ Automation in Construction, 107, 102919. [26] Palechor, F. M., De la Hoz Manotas, A., Colpas, P.
[19] Taheri-Garavand, A., Fatahi, S., Omid, M., & A., Ojeda, J. S., Ortega, R. M., & Melo, M. P. Makino, Y. (2019). Meat quality evaluation based (2017). Cardiovascular Disease Analysis Using on computer vision technique: A review. Meat Supervised and Unsupervised Data Mining science. Techniques. JSW, 12(2), 81-90.
[20] Maitre, J., Bouchard, K., & Bédard, L. P. (2019). [27] Mendoza-Palechor, F. E., Ariza-Colpas, P. P., Mineral grains recognition using computer vision Sepulveda-Ojeda, J. A., De-la-Hoz-Manotas, A., & and machine learning. Computers & Geosciences, Piñeres Melo, M. (2016). Fertility Analysis Method 130, 84-93. Based on Supervised and Unsupervised Data Mining
[21] Ariza-Colpas, P., Oviedo-Carrascal, A. I., & De-la- Techniques. hoz-Franco, E. (2019, July). Using K-Means [28] Palechor, M., Enrique, F., De La Hoz Manotas, A. Algorithm for Description Analysis of Text in RSS K., De La Hoz Franco, E., & Ariza Colpas, P. P. News Format. In International Conference on Data (2015). Feature selection, learning metrics and Mining and Big Data (pp. 162-169). Springer, dimension reduction in training and classification Singapore. processes in intrusion detection systems.
[22] Ariza-Colpas, P., Piñeres-Melo, M., Barceló [29] - Champin, P.-A. Fundamental concepts (RDF). Martinez, E., De la Hoz-Franco, E., BenitezAgudelo, J., Gelves-Ospina, M., ... & Leon-Jacobus, Springer, Cham.
[23] Ariza-Colpas, P., Morales-Ortega, R., Piñeres-Melo, M., De la Hoz-Franco, E., Echeverri-Ocampo, I., & Salas-Navarro, K. (2019, July). Parkinson Disease Analysis Using Supervised and Unsupervised Techniques. In International Conference on Swarm Intelligence (pp. 191-199). Springer, Cham.
[24] De-La-Hoz-Franco, E., Ariza-Colpas, P., Quero, J. M., & Espinilla, M. (2018). Sensor-based datasets for human activity recognition–A systematic review of literature. IEEE Access, 6, 59192-59210.
[25] Calabria-Sarmiento, J. C., Ariza-Colpas, P., Pineres-Melo, M., Ayala-Mantilla, C., Urina-Triana, M., Morales-Ortega, R., ... & Echeverri-Ocampo, I. (2018). Software applications to health sector: A systematic review of literature.
[26] AKT Definition. Available Advances Knowledge AKT http://www.aktors.org/akt/
[27] ASG Definition. Available: http://asgplatform. org/cgi-bin/twiki/view/Public/WebHome
[28] Cruz-Cunha, M. M. (Ed.). (2009). Handbook of Research on Social Dimensions of Semantic Technologies and Web Services. IGI Global.
[29] Euzenat, J., Fensel, D., Lara, R., & Pérez, A. G.(2004, November). Knowledge web: realising the semantic web... all the way to knowledge-enhanced multimedia documents.
[30] IMS Global Definition Available: http://www.imsglobal.org
[31] OpenKnowledge Definition. Available: http://www.openk.org/
[26] Palechor, F. M., De la Hoz Manotas, A., Colpas, P. A., Ojeda, J. S., Ortega, R. M., & Melo, M. P. (2017). Cardiovascular Disease Analysis Using Supervised and Unsupervised Data Mining Techniques. JSW, 12(2), 81-90.
[27] Mendoza-Palechor, F. E., Ariza-Colpas, P. P., Sepulveda-Ojeda, J. A., De-la-Hoz-Manotas, A., & Piñeres Melo, M. (2016). Fertility Analysis Method Based on Supervised and Unsupervised Data Mining Techniques.
[28] Palechor, M., Enrique, F., De La Hoz Manotas, A. K., De La Hoz Franco, E., & Ariza Colpas, P. P. (2015). Feature selection, learning metrics and dimension reduction in training and classification processes in intrusion detection systems.
[29] Champin, P.-A. Fundamental concepts (RDF).
[30] SPARQL Query Language for RDF. (2006- 2007). Recuperado el Enero de 2009, de http://www.w3.org/TR/rdf-sparql-query/
[31] W3C World Wide Web Consortium. (2007). “SPARQL Query Results XML Format.”. Retrieved 10/08/2007, de: http://www.w3.org/TR/rdf-sparql- XMLres/.
[32] D. Beckett, “SPARQL RDF Query Language Reference v1.8,” 2006.
[33] Dodds, Leigh. Twinkle: A SPARQL Query Tool. Recuperado en Octubre 14 de 2010 de: http://www.ldodds.com/projects/twinkle/
[34] Stanford Center for Biomedical Informatics Research. Recuperado en Octubre 14 de 2010 de: http://protege.stanford.edu/
[35] Peter F. Patel-Schneider, I. H. (2004). OWL Web Ontology Language Semantics and Abstract Syntax. Recuperado el Enerode 2009, de http://www.w3.org/TR/owl-semantics/ syntax.html
[36] Matthew Horridge, H. K. (27 de Agosto de 2004). Practical Guide To Building OWL Ontologies Using The Protégé-OWL Plugin and CO-ODE Tools. Recuperado el 5 de Noviembre de 2008, de http://www.coode.org/resources/tutorials/ProtegeOWLTutorial.pdf
[37] Gil, C., Diaz, J., Orozco, M., De La Hoz, A., De La Hoz, E., & Morales, R. (2016). Agile Testing Practices in Software Quality: State of the Art Review.
[38] Jimeno-Gonzalez, Karen., Ariza-Colpas, Paola., Piñeres-Melo, Marlon., Gobierno de TI en Pymes Colombianas ¿Mito o Realidad?(2017) Espacios. 38(57) 7-19.
[39] Caicedo-Ortiz, J. G., De-la-Hoz-Franco, E., Ortega, R. M., Piñeres-Espitia, G., Combita-Niño, H., Estévez, F., & Cama-Pinto, A. (2018). Monitoring system for agronomic variables based in WSN technology on cassava crops. Computers and Electronics in Agriculture, 145, 275-281.
[40] Echeverry Ocampo, Isabel., Urina-Triana, Miguel., Mantilla Mirary., Ariza-Colpas Paola (2018) El trabajo colaborativo entre ingenieros y personal de la salud para el desarrollo de proyectos en salud digital: una visión al futuro para lograr tener éxito. Archivos Venezolanos de Farmacología y Terapeutica, 37(4):400-405
[41] Guerrero, Hilda, Shirly Polo, and Judith Martinez Royer Paola Ariza. "Trabajo colaborativo como estrategia didáctica para el desarrollo del pensamiento crítico." Opción 34.86 (2018): 959-986.
[42] Ariza, P., Pineres, M., Santiago, L., Mercado, N., & De la Hoz, A. (2014, November). Implementation of moprosoft level I and II in software development companies in the colombian caribbean, a commitment to the software product quality region. In 2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV) (pp. 1-5). IEEE.
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