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STEM Knowledge Media Institute

Browse publications from researchers across STEM Knowledge Media Institute.

Latest Knowledge Media Institute publications > Displaying [601–620 of 1593]

  • Third, A., Tiddi, I., Bastianelli, E., Valentine, C. and Domingue, J., 2017, ‘Towards the Temporal Streaming of Graph Data on Distributed Ledgers’, Lecture Notes in Computer Science, 10577 pp. 327–332., https://oro.open.ac.uk/52930/.
  • Fernandez, M., Piccolo, L. S., Maynard, D., Wippoo, M., Meili, C. and Alani, H., 2017, ‘Pro-Environmental Campaigns via Social Media: Analysing Awareness and Behaviour Patterns’, Journal of Web Science, 3(1), https://oro.open.ac.uk/51172/.
  • Burel, G., Saif, H. and Alani, H., 2017, ‘Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media’, in 16th International Semantic Web Conference, 21-25 Oct 2017, Vienna, Austria., https://oro.open.ac.uk/51726/.
  • Third, A. and Domingue, J., 2017, ‘The Irrefutable History of You: Distributed Ledgers and Semantics for Ubiquitous Personal Ratings’, in Re-coding Black Mirror 2017 Workshop, 22 Oct 2017, Vienna, Austria., https://oro.open.ac.uk/52929/.
  • Bellingham, M., Holland, S. and Mulholland, P., 2017, ‘Choosers: designing a highly expressive algorithmic music composition system for non-programmers’, in Second Conference on Computer Simulation of Musical Creativity, 11-13 Sep 2017, The Open University, Milton Keynes, UK., https://oro.open.ac.uk/53946/.
  • Peroni, S., Osborne, F., Di Iorio, A., Nuzzolese, A. G., Poggi, F., Vitali, F. and Motta, E., 2017, ‘Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articles’, PeerJ Computer Science, 3, https://oro.open.ac.uk/51206/.
  • Pride, D. and Knoth, P., 2017, ‘Incidental or influential? – A decade of using text-mining for citation function classification’, in 16th International Society of Scientometrics and Informetrics Conference, 16-20 Oct 2017, Wuhan., https://oro.open.ac.uk/51751/.
  • Khare, P., Fernandez, M. and Alani, H., 2017, ‘Statistical Semantic Classification of Crisis Information’, in 1st workshop of Hybrid Statistical Semantic Understanding and Emerging Semantics (HSSUES), 16th International Semantic Web Conference (ISWC) 2017, 21-22 Oct 2017., https://oro.open.ac.uk/51181/.
  • Fernandez, M., Dickinson, T. and Alani, H., 2017, ‘An analysis of UK Policing Engagement via Social Media’, in Social Informatics (SocInfo2017), 13-15 Sep 2017, Oxford, UK., https://oro.open.ac.uk/51174/.
  • Pride, D. and Knoth, P., 2017, ‘Incidental or Influential? - Challenges in Automatically Detecting Citation Importance Using Publication Full Texts’, in 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, 18-21 Sep 2017, Thessaloniki, Greece., https://oro.open.ac.uk/56753/.
  • Knoth, P., Gooch, P. and Jack, K., 2017, ‘What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers’, Lecture Notes in Computer Science, 10450 pp. 287–299., https://oro.open.ac.uk/52924/.
  • Wibowo, A. T., Siddharthan, A., Lin, C. and Masthoff, J., 2017, ‘Matrix Factorization for Package Recommendations’, in Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios (ComplexRec 2017), 31 Aug 2017, Como, Italy., https://oro.open.ac.uk/58720/.
  • Alhathli, M., Mastho, J. and Siddharthan, A., 2017, ‘Should Learning Material's Selection be Adapted to Learning Style and Personality? In: UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, 9-12 Jul 2017, Bratislava, Slovakia’, https://oro.open.ac.uk/58721/.
  • Lastra-Díaz, J. J., García-Serrano, A., Batet, M., Fernández, M. and Chirigati, F., 2017, ‘HESML: A scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset’, Information Systems, 66 pp. 97–118., https://oro.open.ac.uk/49732/.
  • De Liddo, A., Plüss, B. and Wilson, P., 2017, ‘A Novel Method to Gauge Audience Engagement with Televised Election Debates through Instant, Nuanced Feedback Elicitation’, in Communities and Technologies (C&T) 2017, 26-30 Jun 2017, Troyes, France., https://oro.open.ac.uk/49729/.
  • Pontika, N., Knoth, P., Anastasiou, L., Charalampous, A., Cancellieri, M., Pearce, S. and Bayer, V., 2017, ‘The uptake of the CORE recommender in repositories’, OpenRepositories2017., https://oro.open.ac.uk/50182/.
  • Knoth, P., Anastasiou, L., Basile, G., Pearce, S. and Pontika, N., 2017, ‘Machine accessibility of Open Access scientific publications from publisher systems via ResourceSync’, OAI10., https://oro.open.ac.uk/50181/.
  • Barawi, M. H., Lin, C. and Siddharthan, A., 2017, ‘Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels’, in International Conference on Applications of Natural Language to Information Systems, 21-23 Jun 2017, Liège, Belgium., https://oro.open.ac.uk/51052/.
  • Liu, S., d'Aquin, M. and Motta, E., 2017, ‘Measuring Accuracy of Triples in Knowledge Graphs’, in Language, Data, and Knowledge (LDK 2017), 19-20 Jun 2017, Galway., https://oro.open.ac.uk/51017/.
  • Kravcik, M., Mikroyannidis, A., Pammer, V., Prilla, M. and Ullmann, T. D. e., 2017, ‘International Journal of Technology Enhanced Learning’, 9(2/3), https://oro.open.ac.uk/49865/.