References
- Saha, S., Usman, Z., Li, W., Jones, S., & Shah, N. (2019). Core domain ontology for joining processes to consolidate welding standards. Robotics and Computer-Integrated Manufacturing, 59, 417-430. doi:10.1016/j.rcim.2019.05.010
- Elgammal, A., &Turetken, O. (2015). Lifecycle Business Process Compliance Management: A Semantically-Enabled Framework. 2015 International Conference on Cloud Computing (ICCC). doi:10.1109/cloudcomp.2015.7149646
- De Nicola, A., & Missikoff, M. (2016). A lightweight methodology for rapid ontology engineering. Communications of the ACM, 59(3), 79-86. doi:10.1145/2818359 doi:10.1093/bib/6.3.239
- Ingram, J., & Gaskell, P. (2019). Searching for meaning: Co-constructing ontologies with stakeholders for smarter search engines in agriculture. NJAS - Wageningen Journal of Life Sciences, 100300. doi:10.1016/j.njas.2019.04.006\
- Strohmaier, M., Walk, S., PPschko, J., Lamprecht, D., Tudorache, T., Nyulas, C., ...Noy, N. F. (2013). How Ontologies are Made: Studying the Hidden Social Dynamics Behind Collaborative Ontology Engineering Projects. SSRN Electronic Journal. doi:10.2139/ssrn.319903
- Bouayad-Agha, N., Casamayor, G., &Wanner, L. (2014). Natural Language Generation in the context of the Semantic Web. Semantic Web, 5, 493-513. https://doi.org/10.3233/SW-130125
- Dai, Y., Zhang, S., Chen, J., Chen, T., and Zhang, W. Semantic Network Language Generation Based on a Semantic Networks Serialization Grammar. World Wide Web 13, 3(2010), 307-341. https://doi.org/10.1007/s11280-010-0087-z
- Demir, S., Carberry, S., and Mccoy, K. A Discourseaware Graph-based Content Selection Framework. In Proceedings of the 6th International Natural Language Generation Conference (INLG) (2010), pp. 17-27. \
- Bojars, U., Liepins, R., Gruzitis, N., Cerans, K., &Celms, E. (2016). Extending OWL Ontology Visualizations with Interactive Contextual Verbalization. VOILA@ISWC.
- Keet, C. M., &Khumalo, L. (2016). On the verbalization patterns of part-whole relations in isiZulu. Proceedings of the 9th International Natural Language Generation conference. doi:10.18653/v1/w16-6629
- KaarelKaljurand and Norbert E. Fuchs. 2007. Verbalizing owl in attempt to controlled English. In Proceedings of Third International Workshop on OWL: Experiences and Directions, Innsbruck, Austria (6th-7th June 2007), volume 258
- Guimaraes, M. A., Zisman, R. P., & Renzi, A. B. (2019). Pharmaceutical Online Store Project: Usability, Affordances and Expectations. Advances in Intelligent Systems and Computing, 523-534. doi:10.1007/978-3-030-20040-4_47
- Sun, Mi, Olsson, Paulsson, &Harrie. (2019). Utilizing BIM and GIS for Representation and Visualization of 3D Cadastre. ISPRS International Journal of Geo-Information, 8(11), 503. doi:10.3390/ijgi8110503
- Dorothy, B., & S. Ramesh Kumar, B. (2018). DORBRI: An Architecture for the DoD Security Breaches Through Quantum IoT. International Conference on Computer Networks and Communication Technologies, 491-496. doi:10.1007/978-981-10-8681-6_44
- Androutsopoulos, I., Lampouras, G., &Galanis, D. (2013). Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System. Journal of Artificial Intelligence Research, 48, 671-715. doi:10.1613/jair.4017
- Mann, W.C., & Thompson, S.A. (1988). Rhetorical Structure Theory: Toward a functional theory of text organization. Text & Talk, 8, 243 - 281.
- Sportelli, F., &Franconi, E. (2016). Formalisation of ORM Derivation Rules and Their Mapping into OWL. On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 827-843. doi:10.1007/978-3-319-48472-3_52
- Bontcheva, K., & Wilks, Y. (2004). Automatic Report Generation from Ontologies: The MIAKT Approach. Natural Language Processing and Information Systems, 324-335. doi:10.1007/978-3540-27779-8_28
- Bao, J., Cao, Y., Tavanapong, W., & Honavar, V. (2004). Integration of DomainSpecific and DomainIndependent Ontologies for Colonoscopy Video Database Annotation. Artificial Intelligence Research LaboratoryIowa State University
- Poulovassilis, A., Selmer, P., & Wood, P. T. (2016). Approximation and Relaxation of Semantic Web Path Queries. SSRN ElectronicJournal. doi:10.2139/ssrn.3199265
- Motta, E., Mulholland, P., Peroni, S., d'Aquin, M., GomezPerez, J.M., Mendez, V., Zablith, F.: A novel approach to visualizing and navigating ontologies. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) The Semantic Web { ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011
- Alobaid, A., Garijo, D., Poveda-Villalon, M., Santana-Perez, I., Fernandez-Izquierdo, A., & Corcho, O. (2019). Automating ontology engineering support activities with OnToology. Journal of Web Semantics, 57, 100472. doi:10.1016/j.websem.2018.09.003
- Garijo, D. (2017). WIDOCO: A Wizard for Documenting Ontologies. Lecture Notes in Computer Science, 94-102. doi:10.1007/978-3-319-68204-4_9
- Singh, A., Ramasubramanian, K., & Shivam, S. (2019). Introduction to Microsoft Bot, RASA, and Google Dialogflow.
- Janarthanam, S. (2017). Hands-On Chatbots and Conversational UI Development: Build chatbots and voice user interfaces with Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, and Alexa Skills.
- Ralston, K. (2019). Personalizing Chatbot Conversations with IBM Watson.
- Wallace, The Elements of AIML Style, ALICE A. I. Foundation, Inc. March 28, 2003
- Wallace, R. S. (2014). AIML 2.0 Working Draft, https://docs.google.com/document/d/1wNT25hJRyup cG51aO89UcQEiG-HkXRXusukADpFnDs4/pub