The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.
Liu, S., Brewster, C. and Shaw, D. (2013). A semantic framework for enhancing information interoperability in emergency and disaster management. In: SMERST 2013: Social Media and Semantic Technologies in Emergency Response, 15-16 Apr 2013, Coventry, UK. https://oro.open.ac.uk/42141/.
Liu, S., Brewster, C. and Shaw, D. (2013). Ontologies for crisis management: a review of state of the art in ontology design and usability. In: 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2013), 12-15 May 2013, Baden-Baden, Germany. https://oro.open.ac.uk/42140/.
Liu, S., Joy, M. and Griffiths, N. (2013). An exploratory study on group formation based on learning styles. In: 13th IEEE International Conference on Advanced Learning Technologies (ICALT 2013), 15-18 Jul 2013, Beijing, China. https://oro.open.ac.uk/42137/.
Tiddi, I. (2013). Explaining data patterns using background knowledge from Linked Data. In: ISWC 2013 Doctoral Consortium co-located with 12th International Semantic Web Conference (ISWC 2013) and the 1st Austalasian Semantic Web Conference, 20 Oct 2013, Sydney, Australia. https://oro.open.ac.uk/41693/.
Osborne, F., Likavec, S. and Cena, F. (2013). Granular semantic user similarity in the presence of sparse data. In: AI*IA 2013: XIII Conference of the Italian Association for Artificial Intelligence, 4-6 Dec 2013, Turin, Italy. https://oro.open.ac.uk/41689/.
Mikroyannidis, A., Okada, A. and Scott, P. (2013). Personal Learning Environments for Inquiry-Based Learning. In: 4th International Conference on Personal Learning Environments, 10-12 Jul 2013, Berlin, Germany. https://oro.open.ac.uk/41468/.
Cano Basave, A.E., He, Y., Liu, K. and Zhao, J. (2013). A weakly supervised Bayesian model for violence detection in social media. In: 6th International Joint Conference on Natural Language Processing, 14-18 Oct 2013, Nagoya, Japan. https://oro.open.ac.uk/41416/.
Boden, C., Karnstedt, M., Fernández, M. and Volker, M. (2013). Large-scale social-media analytics on stratosphere. In: 22nd International World Wide Web Conference (WWW 2013), 13-17 May 2014, Rio de Janeiro, Brazil. https://oro.open.ac.uk/41397/.
Saif, H., Fernández, M., He, Y. and Alani, H. (2013). Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold. In: 1st Interantional Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM 2013), 3 Dec 2013, Turin, Italy. https://oro.open.ac.uk/40660/.
Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C. and Janowicz, K.E. (2013). The Semantic Web – ISWC 2013: Proceedings of the 12th International Semantic Web Conference, Sydney, NSW, Australia - Part I. Lecture Notes in Computer Science (8218). Berlin: Springer. https://oro.open.ac.uk/38970/.
Rizzardini, R.H., Schmitz, H.C., Mikroyannidis, A., Kloos, C.D. and Chao, L.E. (2013). Cloud Education Environment. Journal of Universal Computer Science, 19 (14). J.UCS. https://oro.open.ac.uk/40590/.
Mikroyannidis, A., Connolly, T. and Berthold, M. (2013). Self Regulated Learning. Milton Keynes: The Open University. https://oro.open.ac.uk/40050/.
Simperl, E., Norton, B., Acosta, M., Maleshkova, M., Domingue, J., Mikroyannidis, A., Mulholland, P. and Power, R. (2013). Using Linked Data Effectively. Milton Keynes: The Open University. https://oro.open.ac.uk/40052/.
Meyer, P., Kelle, S., Ullmann, T.D., Scott, P. and Wild, F. (2013). Interdisciplinary cohesion of TEL – an account of multiple perspectives. In: Hernández-Leo, Davinia; Ley, Tobias; Klamma, Ralf and Harrer, Andreas eds. Scaling up Learning for Sustained Impact. Lecture Notes in Computer Science (8095). Springer, pp. 219–232. https://oro.open.ac.uk/40058/.
Cataldi, M., Ballatore, A., Tiddi, I. and Aufaure, M.A. (2013). Good location, terrible food: detecting feature sentiment in user-generated reviews. Social Network Analysis and Mining, 3(4), pp. 1149–1163. https://oro.open.ac.uk/40060/.
Jay, N. and d'Aquin, M. (2013). Linked data and online classifications to organise mined patterns in patient data. In: AMIA Annual Symposium, 16-20 Nov 2013, Washington, DC, USA. https://oro.open.ac.uk/40064/.
Ullmann, T., Wild, F. and Scott, P. (2013). Reflection - quantifying a rare good. In: 3rd Workshop on Awareness and Reflection in Technology-Enhanced Learning, 17 Sep 2013, Paphos, Cyprus. https://oro.open.ac.uk/40065/.
Cena, F., Likavec, S. and Osborne, F. (2013). Anisotropic propagation of user interests in ontology-based user models. Information Sciences, 250 pp. 40–60. https://oro.open.ac.uk/39990/.
Tindle, A. and Quick, K. (2013). Minerals Under the Microscope. Open University. https://oro.open.ac.uk/39290/.
Scheuermann, A., Motta, E., Mulholland, P., Gangemi, A. and Presutti, V. (2013). An empirical perspective on representing time. In: Seventh International Conference on Knowledge Capture, 23-26 Jun 2013, Banff, Canada. https://oro.open.ac.uk/39266/.
