An ontology-based web decision support system to find entertainment points of interest in an urban area

References

• Adams, D., C. De Sousa, and S. Tiesdell. 2010. “Brownfield Development: A Comparison of North American and British Approaches.” Urban Studies 47 (1): 75–104. doi:10.1177/0042098009346868.
   Web of Science ®Google Scholar
• Al-Hamadani, B. T., and R. F. Alwan. 2015. “An Ontology-Based Expert System for General Practitioners to Diagnose Cardiovascular Diseases.” Advances in Computational Sciences and Technology 8: 53–65.
   Google Scholar
• Alharbi, R. F., J. Berri, and S. El-Masri. 2015. “Ontology Based Clinical Decision Support System for Diabetes Diagnostic.” Paper presented at the 2015 Science and Information Conference (SAI), London, UK, July 28–30, pp. 597–602.
   Google Scholar
• Alkahtani, M., A. Choudhary, A. De, and J. A. Harding. 2019. “A Decision Support System Based on Ontology and Data Mining to Improve Design Using Warranty Data.” Computers & Industrial Engineering 128: 1027–1039. doi:10.1016/j.cie.2018.04.033.
   Web of Science ®Google Scholar
• Bender, J. 2003. “An examination of the use of urban entertainment centers as a catalyst for downtown revitalization.” Master’s Thesis, Virginia Polytechnic Institute and State University.
   Google Scholar
• Boshkoska, B. M., S. Liu, G. Zhao, A. Fernandez, S. Gamboa, M. Del Pino, P. Zarate, J. Hernandez, and H. Chen. 2019. “A Decision Support System for Evaluation of the Knowledge Sharing Crossing Boundaries in Agri-Food Value Chains.” Computers in Industry 110: 64–80. doi:10.1016/j.compind.2019.04.012.
   Web of Science ®Google Scholar
• Broens, T., S. Pokraev, M. Sinderen, J. Koolwaaij, and P. Dockhorn Costa. 2004. “Context-Aware, Ontology-Based Service Discovery.” Paper presented at the 2004 Ambient Intelligence: Second European Symposium (EUSAI), Eindhoven, Netherlands, November 8-11, pp. 72–83.
   Google Scholar
• Child Hill, R., and J. W. Kim. 2000. “Global Cities and Developmental States: New York, Tokyo and Seoul.” Urban Studies 37 (12): 2167–2195. doi:10.1080/00420980020002760.
   Web of Science ®Google Scholar
• Chmielewski, M. 2009. “Ontology Applications for Achieving Situation Awareness in Military Decision Support Systems.” Paper presented at the 2009 International Conference on Computational Collective Intelligence, Wroclaw, Poland, October 5-7, pp. 528–539.
   Google Scholar
• Ebrahimipour, V., K. Rezaie, and S. Shokravi. 2010. “An Ontology Approach to Support FMEA Studies.” Expert Systems with Applications 37 (1): 671–677. doi:10.1016/j.eswa.2009.06.033.
   Web of Science ®Google Scholar
• El-Sappagh, S., J. M. Alonso, F. Ali, A. Ali, J. H. Jang, and K. S. Kwak. 2018. “An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis.” IEEE Access 6: 37371–37394. doi:10.1109/ACCESS.2018.2852004.
   Web of Science ®Google Scholar
• Evans, G. 2009. “Creative Cities, Creative Spaces and Urban Policy.” Urban Studies 46 (5–6): 1003–1040. doi:10.1177/0042098009103853.
   Web of Science ®Google Scholar
• Fensel, D., U. Şimşek, K. Angele, E. Huaman, E. Kärle, O. Panasiuk, I. Toma, J. Umbrich, and A. Wahler. 2020. “Introduction: What is a Knowledge Graph?” In Knowledge Graphs, edited by D. Fensel, U. Şimşek, K. Angele, E. Huaman, E. Kärle, O. Panasiuk, I. Toma, J. Umbrich, and A. Wahler, 1–10. Cham, Switzerland: Springer.
   Google Scholar
• Glimm, B., I. Horrocks, B. Motik, G. Stoilos, and Z. Wang. 2014. “HermiT: An OWL 2 Reasoner.” Journal of Automated Reasoning 53 (3): 245–269. doi:10.1007/s10817-014-9305-1.
   Web of Science ®Google Scholar
• Guarino, N., D. Oberle, and S. Staab. 2009. “What is an Ontology?” In Handbook on ontologies, edited by S. Staab, and R. Studer, 1–17. Berlin, Heidelberg: Springer.
   Google Scholar
• Hoseini, A. M., and A. Maleki. 2011. “Influences of Climate on Arak Traditional and Modern Architecture.” Environmental Based Territorial Planning 3: 133–155.
   Google Scholar
• Jajaga, E., L. Ahmedi, and F. Ahmedi. 2015. “An Expert System for Water Quality Monitoring Based on Ontology.” Paper presented at the 2015 Metadata and Semantics Research Conference, Manchester, UK, September 9-11, pp. 89–100.
   Google Scholar
• Jean-Baptiste, L. 2021. Ontologies with Python. Berkeley, CA: Apress.
   Google Scholar
• Keen, P. G. 1980. “Decision Support Systems: A Research Perspective.” Paper presented at the 1980 International Task Force Meeting, New York, USA, June 23-25, pp. 23–44.
   Google Scholar
• Kuhlman, D. 2013. A Python Book: Beginning Python, Advanced Python, and Python Exercises. Warsaw, Poland: Platypus Global Media.
   Google Scholar
• Lagos-Ortiz, K., J. Medina-Moreira, M. A. Paredes-Valverde, W. Espinoza-Morán, and R. Valencia-García. 2017. “An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases.” Journal of Information Technology Research 10 (4): 42–55. doi:10.4018/JITR.2017100103.
   Google Scholar
• Loures, L. 2015. “Post-Industrial Landscapes as Drivers for Urban Redevelopment: Public versus Expert Perspectives Towards the Benefits and Barriers of the Reuse of Post-Industrial Sites in Urban Areas.” Habitat international 45: 72–81. doi:10.1016/j.habitatint.2014.06.028.
   Web of Science ®Google Scholar
• Malczewski, J., and M. Jelokhani-Niaraki. 2012. “An Ontology-Based Multicriteria Spatial Decision Support System: A Case Study of House Selection.” Geo-Spatial Information Science 15 (3): 177–185. doi:10.1080/10095020.2012.715900.
   Google Scholar
• Mao, X., and Q. Li. 2011. “Ontology-Based Web Spatial Decision Support System.” Paper presented at the 2011 International Conference on Geoinformatics, Shanghai, China, June 24-26, pp. 1–4.
   Google Scholar
• Mekruksavanich, S. 2016. “Medical Expert System Based Ontology for Diabetes Disease Diagnosis.” Paper presented at the 2016 IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, August 26-28, pp. 383–389.
   Google Scholar
• Morente-Molinera, J. A., R. Wikström, E. Herrera-Viedma, and C. Carlsson. 2016. “A Linguistic Mobile Decision Support System Based on Fuzzy Ontology to Facilitate Knowledge Mobilization.” Decision Support Systems 81: 66–75. doi:10.1016/j.dss.2015.09.001.
   Web of Science ®Google Scholar
• Motik, B., R. Shearer, and I. Horrocks. 2009. “Hypertableau Reasoning for Description Logics.” The Journal of Artificial Intelligence Research 36: 165–228. doi:10.1613/jair.2811.
   Web of Science ®Google Scholar
• Noy, N. F., and M. A. Musen. 2003. “The PROMPT Suite: Interactive Tools for Ontology Merging and Mapping.” International Journal of Human-Computer Studies 59 (6): 983–1024. doi:10.1016/j.ijhcs.2003.08.002.
   Web of Science ®Google Scholar
• Prcela, M., D. Gamberger, and A. Jovic. 2008. “Semantic Web Ontology Utilization for Heart Failure Expert System Design.” Studies in Health Technology and Informatics 136: 851.
   PubMedGoogle Scholar
• Raggett, D., A. Le Hors, and I. Jacobs. 1999. “HTML 4.01 Specification.” W3C recommendation 24.
   Google Scholar
• Rajput, Q., N. S. Khan, A. Larik, and S. Haider. 2014. “Ontology Based Expert-System for Suspicious Transactions Detection.” Computer and Information Science 7 (1): 103. doi:10.5539/cis.v7n1p103.
   Google Scholar
• Rezaei, Z., and M. H. Vahidnia. 2022. “Effective Medical Center Finding During COVID-19 Pandemic Using a Spatial DSS Centered on Ontology Engineering.” GeoJournal 1–15. doi:10.1007/s10708-022-10777-3.
   PubMed Web of Science ®Google Scholar
• Robles-Bykbaev, V. E., W. Guamán-Murillo, D. Quisi-Peralta, M. López-Nores, J. J. Pazos-Arias, and J. García-Duque. 2016. “An Ontology-Based Expert System to Generate Therapy Plans for Children with Disabilities and Communication Disorders” Paper presented at the 2016 IEEE Ecuador Technical Chapters Meeting (ETCM), Guayaquil, Ecuador, October 12-14 , pp. 1–6.
   Google Scholar
• Sari, N. K. A. P. 2021. “Implementation of the AHP-SAW Method in the Decision Support System for Selecting the Best Tourism Village.” Jurnal Teknik Informatika CIT Medicom 13: 24–35.
   Google Scholar
• Schein, A. I., A. Popescul, L. H. Ungar, and D. M. Pennock. 2002. “Methods and Metrics for Cold-Start Recommendations” Paper presented at the 2002 Annual International ACM SIGIR conference on Research and Development in Information Retrieval, Tampere, Finland, August 11-15, pp. 253–260.
   Google Scholar
• Shen, Y., K. Yuan, D. Chen, J. Colloc, M. Yang, Y. Li, and K. Lei. 2018. “An Ontology-Driven Clinical Decision Support System (IDDAP) for Infectious Disease Diagnosis and Antibiotic Prescription.” Artificial intelligence in medicine 86: 20–32. doi:10.1016/j.artmed.2018.01.003.
   PubMed Web of Science ®Google Scholar
• Sherimon, P., and R. Krishnan. 2016. “OntoDiabetic: An Ontology-Based Clinical Decision Support System for Diabetic Patients.” Arabian Journal for Science and Engineering 41 (3): 1145–1160. doi:10.1007/s13369-015-1959-4.
   Web of Science ®Google Scholar
• Singh, S., S. Ghosh, J. Jayaram, and M. K. Tiwari. 2019. “Enhancing Supply Chain Resilience Using Ontology-Based Decision Support System.” International Journal of Computer Integrated Manufacturing 32 (7): 642–657. doi:10.1080/0951192X.2019.1599443.
   Web of Science ®Google Scholar
• Vahidnia, M. H. 2022. “Point-Of-Interest Recommendation in Location-Based Social Networks Based on Collaborative Filtering and Spatial Kernel Weighting.” Geocarto international 1–20. doi:10.1080/10106049.2022.2086626.
   Web of Science ®Google Scholar
• Vahidnia, M. H., and A. A. Alesheikh. 2014. “Ontological Exploration of Geospatial Objects in Context.” Geo-Spatial Information Science 17 (2): 129–138. doi:10.1080/10095020.2013.766397.
   Google Scholar
• Wei, L., H. Du, Q. Mahesar, K. Al Ammari, D. R. Magee, B. Clarke, V. Dimitrova, et al. 2020. “A Decision Support System for Urban Infrastructure Inter-Asset Management Employing Domain Ontologies and Qualitative Uncertainty-Based Reasoning.” Expert Systems with Applications 158: 113461. doi:10.1016/j.eswa.2020.113461.
   Web of Science ®Google Scholar
• Zhong, S., Z. Fang, M. Zhu, and Q. Huang. 2017. “A Geo-Ontology-Based Approach to Decision-Making in Emergency Management of Meteorological Disasters.” Natural Hazards 89 (2): 531–554. doi:10.1007/s11069-017-2979-z.
   Web of Science ®Google Scholar