KMi Publications

External Publications

13 publications | Chenghua Lin


He, Y., Lin, C., Gao, W. and Wong, K. (2012) Online Sentiment and Topic Dynamics Tracking from Social Media, ACM Transactions on Intelligent Systems and Technology

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Lin, C., He, Y., Pedrinaci, C. and Domingue, J. (2012) Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web, The 11th International Semantic Web Conference (ISWC), Boston, USA

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He, Y., Lin, C. and Cano Basave, E. (2012) Online Sentiment and Topic Dynamics Tracking over the Streaming Data, IEEE International Conference on Social Computing (SocialCom), Amsterdam, The Nethelands

He, Y., Lin, C., Gao, W. and Wong, K. (2012) Tracking Sentiment and Topic Dynamics from Social Media, Poster at The 6th International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin, Ireland

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Pedrinaci, C., Liu, D., Lin, C. and Domingue, J. (2012) Harnessing the Crowds for Automating the Identification of Web APIs, Workshop: Intelligent Web Services Meet Social Computing at AAAI Spring Symposium 2012, Stanford, California

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Lin, C., He, Y. and Everson, R. (2011) Sentence Subjectivity Detection with Weakly-Supervised Learning, The 5th International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand

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He, Y., Lin, C. and Alani, H. (2011) Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification, The 49th Annual Meeting of the Association for Computational Linguistics (ACL), Portland, Oregon

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Lin, C., He, Y., Everson, R. and Rueger, S. (2011) Weakly-Supervised Joint Sentiment-Topic Detection from Text, IEEE Transactions on Knowledge and Data Engineering (TDKE)

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Lin, C., He, Y. and Everson, R. (2010) A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection, The 14th Conference on Computational Natural Language Learning (CoNLL), Uppsala, Sweden

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Lin, C. and He, Y. (2009) Joint Sentiment/Topic Model for Sentiment Analysis, The 18th ACM Conference on Information and Knowledge Management (CIKM), Hong Kong, China

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He, Y. and Lin, C. (2009) Protein-Protein Interactions Classification from Text via Local Learning with Class Priors, 14th International Conference on Applications of Natural Language to Information Systems (NLDB), Saabrucken, Germany

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Liu, K., Lin, C. and Qiao, B. (2008) A Multi-agent System for Intelligent Pervasive Spaces, IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), Beijing, China

Lin, C., Liu, K. and Wei, H. (2008) Review of Computer Vision in Intelligent Environment Design, SSE System Engineering Conference, Reading, UK

 
 
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.