Discovering biomedical relations utilizing the World-wide Web.
To crate a Semantic Web for Life Sciences discovering relations between biomedical entities is essential. Journals and conference proceedings represent the dominant mechanisms of reporting newly discovered biomedical interactions. The unstructured nature of such publications makes it difficult to utilize data mining or knowledge discovery techniques to automatically incorporate knowledge from these publications into the ontologies. On the other hand, since biomedical information is growing explosively, it is difficult to have human curators manually extract all the information from literature. In this paper we present techniques to automatically discover biomedical relations from the World-wide Web. For this purpose we retrieve relevant information from Web Search engines using various lexico-syntactic patterns as queries. Experiments are presented to show the usefulness of our techniques.
Mukherjea
Sougata
S
IBM India Research Lab, Hauz Khas, New Delhi, India. smukherj@in.ibm.com
Sahay
Saurav
S
D002965:Classification; D019295:Computational Biology; D016247:Information Storage and Retrieval; D020407:Internet; D051188:Knowledge Bases; D012660:Semantics; D009626:Terminology as Topic; D017432:Unified Medical Language System