Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences

Search engines running on scientiﬁc literature have been widely used by life scientists to ﬁnd publications related to their research. However, existing search engines in the life-science domain, such as PubMed, have limitations when applied to exploring and analyzing factual knowledge (e.g., disease-gene associations) in massive text corpora. These limitations are mainly due to the problems that factual information exists as an unstructured form in text, and also keyword and MeSH term-based queries cannot

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Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences

Semantic Scholar · Biology · 2017

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Search engines running on scientiﬁc literature have been widely used by life scientists to ﬁnd publications related to their research. However, existing search engines in the life-science domain, such as PubMed, have limitations when applied to exploring and analyzing factual knowledge (e.g., disease-gene associations) in massive text corpora. These limitations are mainly due to the problems that factual information exists as an unstructured form in text, and also keyword and MeSH term-based queries cannot

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