Lecture Series in Pattern Recognition
题 目（TITLE）：Biomedical text mining for semantic search and knowledge discovery
讲 座 人（SPEAKER）：Prof. Sophia Ananiadou (University of Manchester, UK)
主 持 人 (CHAIR)：Prof. Chengqing Zong
时 间 (TIME)：16:50PM, May 9 (Wednesday), 2012
地 点 (VENUE)：1115 Meeting Room
Due to increasing specialisation, silo effects and literature deluge, researchers are struggling to draw out general truths and to generate hypotheses to test. This is especially true when considering the needs of biomedicine. Natural language processing techniques are urgently needed, including aids to link the scientific literature with appropriate knowledge in scientific databases, and to provide textual evidence in hypothesis generation and semantic search. The evidence to generate hypotheses for comprehensive diagnostics, pharmacological interventions, treatments, etc., is hidden in text. In addition, the type of evidence needed is complex, requiring techniques beyond statistical keyword search mechanisms, such as question answering about facts, relations and events of biomedical relevance. The extraction of semantic metadata from text allows advanced semantic search. In my talk, I will discuss such issues and also present some of the biomedical text mining services developed at the UK National Centre for Text Mining addressing the needs of the biomedical community for semantic search and knowledge discovery.
Sophia Ananiadou is Director of the UK National Centre for Text Mining (NaCTeM, www.nactem.ac.uk), and full Professor of Computer Science in the School of Computer Science, University of Manchester, UK. She is the main designer of the text-mining tools and services currently used in NaCTeM, i.e.advanced search, information extraction and association mining. Her research projects include text mining-based visualisation of biochemical networks, data integration using text mining, building terminological resources, and automatic event extraction for pathway reconstruction and bioprocess recognition. She also leads work to support scientists in evidence finding via text mining based search, within the UK PubMed Central project, and collaborates with centres in the US and Japan to develop text mining infrastructures for the community.
She has been awarded the Daiwa Adrian prize (2004) and the IBM UIMA innovation award (2006, 2007,2008) for her work on interoperability of text-mining tools in biomedicine. She has over 200 publications in journals, conferences and books.