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» Large-scale extraction and use of knowledge from text
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BMCBI
2008
144views more  BMCBI 2008»
15 years 2 months ago
Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses
Background: The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising te...
Olivo Miotto, Tin Wee Tan, Vladimir Brusic
ICDE
2009
IEEE
183views Database» more  ICDE 2009»
16 years 3 months ago
Efficient Indices Using Graph Partitioning in RDF Triple Stores
With the advance of the Semantic Web, varying RDF data were increasingly generated, published, queried, and reused via the Web. For example, the DBpedia, a community effort to extr...
Ying Yan, Chen Wang, Aoying Zhou, Weining Qian, Li...
113
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ACL
2006
15 years 3 months ago
On2L - A Framework for Incremental Ontology Learning in Spoken Dialog Systems
An open-domain spoken dialog system has to deal with the challenge of lacking lexical as well as conceptual knowledge. As the real world is constantly changing, it is not possible...
Berenike Loos
BMCBI
2010
148views more  BMCBI 2010»
15 years 2 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
CICLING
2005
Springer
15 years 7 months ago
A Machine Learning Approach to Information Extraction
Information extraction is concerned with applying natural language processing to automatically extract the essential details from text documents. A great disadvantage of current ap...
Alberto Téllez-Valero, Manuel Montes-y-G&oa...