Text Mining
Combining Biological Databases and Text Mining to support New Bioinformatics Applications
Submitted by rene on Sun, 2010-08-22 09:06- Login to post comments
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{Ontological Text Mining of Software Documents}
Submitted by rene on Thu, 2010-08-05 07:08- Login to post comments
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{Semantic Assistants: SOA for Text Mining}
Submitted by rene on Thu, 2010-07-29 08:56- Login to post comments
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Ontology-Based Extraction and Summarization of Protein Mutation Impact Information
Submitted by rene on Fri, 2010-07-23 10:03- Login to post comments
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The GATE Multi-Parser Predicate-Argument EXtractor Component (MultiPaX)
The GATE Multi-Parser Predicate-Argument EXtractor Component (MultiPaX) can extract predicate-argument structures (PAS) from the output of different parsers.
Semantic Assistants Project
In the Semantic Assistants project, we investigate how to support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated with common desktop applications (word processors, email clients, Web browsers, ...), web information systems (wikis, portals) and mobile applications (based on Android). They are implemented through an open service-oriented architecture, using Semantic Web ontologies and W3C Web Services.
Fuzzy Believer
The growing number of publicly available information sources makes it impossible for individuals to keep track of all the various opinions on one topic. The goal of our fuzzy believer project is to extract and analyze statements of opinion from newspaper articles.
Beliefs are modeled using a fuzzy-theoretic approach applied after NLP-based information extraction. A fuzzy believer models a human agent, deciding what statements to believe or reject based on different, configurable strategies.
Open Mutation Miner (OMM) Project
In the Open Mutation Miner (OMM) project we investigate the combination of NLP, ontologies, and bioinformatics tools for the extraction and analysis of mutations and their impacts from the bibliome.