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From Literature to Knowledge: Exploiting PubMed to Answer Biomedical Questions in Natural Language

Researchers, practitioners and the general public strive to be constantly up to date with the latest developments in the subjects of bio- medical research of their interest. Meanwhile the collection of high qual- ity research papers freely available on the Web has increase dramatically in the last few years and this trend is likely to continue. This state of facts brings about opportunities as well as challenges for the construction of effective web-based searching tools. Question/Answering systems based on user interactions in Natural Language have emerged as a promis- ing alternative to traditional keyword based search engines. However this technology still needs to mature in order to fulfill its promises. In this paper we present and test a new graph-based proof-of-concept paradigm for processing the knowledge base and the user queries expressed in natural Language. The user query is mapped as a subgraph match- ing problem onto the internal graph representation, and thus can handle efficiently also partial matches. Preliminary user-based output quality measurements confirm the viability of our method.


ITBAM 2015 - Information Technology in Bio-and Medical Informatics, Valencia, 2015

IIT authors:

Pinaki Bhaskar

Foto di Pinaki Bhaskar

Type: Article in proceedings of international peer-reviewed conference
Field of reference: Information Technology and Communication Systems
Da pagina 3 a pagina 15

Activity: Algoritmica per tecnologie web