forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online
The workshop aims to discuss key issues and practices of semantic mining. Thanks to the initiatives of the Linked Open Data and robust techniques for semantic annotation of Web, social, and sensor data, more semantic data is available. Many research efforts have been directed toward demonstrating semantic techniques to analyze and mine this growing resource. The workshop will provide a cross-disciplinary forum for researchers to showcase their innovation and efforts, and to further enhance existing bounds and create new connections among different communities. Here we solicit contributions on researches and practices of mining data semantics including theory, algorithms, and applications from computer science, life science, healthcare and other domains.
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F. Silvestri, S. Orlando, and R. Perego. SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, page 305--312. New York, NY, USA, ACM, (2004)
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R. Baraglia, and F. Silvestri. WI '04: Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, 0, page 199-205. Los Alamitos, CA, USA, IEEE Computer Society, (2004)
R. Baraglia, and F. Silvestri. WI '04: Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, page 199--205. Washington, DC, USA, IEEE Computer Society, (2004)