Rexplore Graph

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.

Cano, A.E., Saif, H., Alani, H. and Motta, E. (2016). Semantic Topic Compass – Classification Based on Unsupervised Feature Ambiguity Gradation. Lecture Notes in Computer Science, 9678 pp. 350–367. https://oro.open.ac.uk/48479/.

Cano Basave, A., Osborne, F. and Salatino, A. (2016). Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors. In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), 19-23 Nov 2016, Bologna, Italy (forthcoming). https://oro.open.ac.uk/47330/.

Cano Basave, A., Osborne, F. and Salatino, A. (2016). Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors. In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), 19-23 Nov 2016, Bologna, Italy. https://oro.open.ac.uk/47331/.

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/.

Cano, A.E., Rizzo, G., Varga, A., Rowe, M., Stankovic, M. and Dadzie, A.S. (2014). Making sense of microposts: (#Microposts2014) named entity extraction & linking challenge. In: Making Sense of Microposts (#Microposts2014), 07 Apr 2014, Seoul, Korea. https://oro.open.ac.uk/41415/.

Varga, A., Cano Basave, A.E., Rowe, M., Ciravegna, F. and He, Y. (2014). Linked knowledge sources for topic classification of microposts: a semantic graph-based approach. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 26 pp. 36–57. https://oro.open.ac.uk/41414/.

Cano Basave, A.E., He, Y. and Xu, R. (2014). Automatic labelling of topic models learned from Twitter by summarisation. In: 52nd Annual Meeting of the Association for Computational Linguistics, 22-27 Jun 2014, Baltimore, MD, USA. https://oro.open.ac.uk/41413/.

Cano Basave, A., Mazumdar, S. and Ciravegna, F. (2014). Social influence analysis in microblogging platforms - a topic-sensitive based approach. Semantic Web, 5(5), pp. 357–403. https://oro.open.ac.uk/41412/.

Fernández, M., Wandhoefer, T., Allen, B., Cano Basave, A. and Alani, H. (2014). Using social media to inform policy making: to whom are we listening? In: European Conference on Social Media (ECSM 2014), 10-11 Jul 2014, Brighton, UK. https://oro.open.ac.uk/41396/.

Cano Basave, A., Fernández, M. and Alani, H. (2014). Detecting child grooming behaviour patterns on social media. In: SociInfo 2014: The 6th International Conference on Social Informatics, 10-13 Nov 2014, Barcelona, Spain. https://oro.open.ac.uk/41394/.

Fernández, M., Cano, A. and Alani, H. (2014). Policing engagement via social media. In: City Labs Workshop - SociInfo 2014, 10-13 Nov 2014, Barcelona, Spain. https://oro.open.ac.uk/41393/.

Cano, A.E., He, Y. and Alani, H. (2014). Stretching the life of Twitter classifiers with time-stamped semantic graphs. In: 13th International Semantic Web Conference (ISWC 2014), 19-23 Oct 2014, Riva del Garda, Trentino, Italy. https://oro.open.ac.uk/41402/.

Cano, A., He, Y. and Alani, H. (2014). The topics they are a-changing - characterising topics with time-stamped semantic graphs. In: 13th International Semantic Web Conference (ISWC 2014), 19-23 Oct 2014, Riva del Garda, Trentino, Italy. https://oro.open.ac.uk/41404/.

He, Y., Lin, C. and Cano Basave, A. (2012). Online sentiment and topic dynamics tracking over the streaming data. In: 2012 ASE International Conference on Social Computing (SocialCom 2012), 03-05 Sep 2012, Amsterdam, The Netherlands. https://oro.open.ac.uk/34893/.

View By

#kmiou on Bluesky

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team