BioMed Experts (BME)

See Anil Srivastava's My Page on Biomed Experts.

INCTR's OHSL program is working on a knowledge discovery project with the Embassy of India on creating a portal for scientists and engineer of Indian origin in the United States and information on Indo-US science and technology information and resources of interest. We hope that the Biomed Experts page will be made to work in tandem. But in the meanwhile we at OHSL will be using My Page as a tool to initially map Indo-US cancer community and slowly expand to the global INCTR community.

At the same time we are exploring with Collexis, who have created the BioMed Experts portal the possibility of a collaboration with INCTR. Collexis approach, according to the company, is known as for high definition search and knowledge discovery and what makes it unique is:

"What makes Collexis unique?
Initially, Collexis differentiates itself from full-text search engines by using thesauri for information retrieval. The high-quality search is based on semantics that have been defined in a thesaurus or ontology: synonymous terms and terms in different languages are linked to a single concept. Hierarchical relations between concepts, links between definitions and terms, and other semantic relationships are utilized in the search applications. This process helps to highlight those terms most relevant to the searcher’s query.

Additionally, Collexis’ matching technology is unique. The matching technology computes “distances” between the query and the content items that are being searched, which allows discovery of partially matching documents. Users do not have to construct a complicated (Boolean) search query, but can simply enter a free text search without the risk of getting “no results” due to extensive search term use. In fact, with matching technology, the use of more search text means faster and more accurate results in general.

Yet another aspect that differentiates Collexis is that the computer can easily manipulate the Fingerprints generated by the software. They can be aggregated, associated, clustered, etc. These manipulations also allow Collexis to provide information that goes beyond the level of a single document. Searchers can see information distributed over different documents as well as discernible patterns in a group of documents - e.g., a group of documents written by one author or belonging to a particular semantic category."

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