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Posts Tagged ‘Text mining

Big Data mining at Pharma by IBM

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Technology firm IBM, US, recently launched a cloud analytics platform, called IBM Strategic IP Insight Platform (SIPP), to allow researchers to extract data from patents and scientific journals. The new application will reportedly allow researchers to speed up their searches of massive amounts of patents and scientific journals to find information on pharmaceutical chemicals.

Search algorithms in the SIPP are said to make extraction of drawings, figures and articles from scientific publications faster. The firm donated a large amount of data it curated using SIPP to the National Institutes of Health (NIH). The data contains 12 million patents and 20 million Medline scientific abstracts. Researchers at the NIH are expected to use the information to discover new medication and research cures for cancer.

Scientists traditionally had to search for the chemical names in paper journals. IBM’s new cloud-based platform will now help them curate the data on molecules and chemicals within 24 hours of publication. In the database, the chemical names map out to synonyms for the chemicals.

For the NIH project, IBM took pharmaceutical data from AstraZeneca, Bristol-Myers Squibb, DuPont and Pfizer. It extracted the data from 2.4 million chemical compounds, 4.7 million patents and 11 million biomedical journals.


Written by hbasset

December 13, 2011 at 8:40 pm

Journal article mining and semantic search: practices and promises

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An impressive study research, sponsored by the Publishing Research Consortium: includes interviews of key-people from Pfizer, the CERN, Mendeley, the British Library, from TEMIS, Elsevier, Springer, Nature, Wiley, etc.

Journal Article Mining: a research study into Practices, Policies, Plans …..and Promises Eefke Smit and Maurits van der Graaf. PRC June 2011 153pp. This is a study commissioned by PRC which offers the first comprehensive look at what publishers and others are doing, and plan to do, in both data and text mining of the scholarly, mainly journal, literature. Lots of fascinating detail from a number of viewpoints – from 29 interviews and 190 detailed responses to a survey

Written by hbasset

July 21, 2011 at 7:42 pm

Semantic search for Publisher’s platforms

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TEMIS and Semantico have announced a strategic partnership.

The powerful text mining technology developed by TEMIS automates the semantic enrichment of unstructured content, dramatically improving its findability and discoverability by search engines and end-users.

In online publications, the resulting richer metadata can be used to:

  • Help search engines return more relevant results
  • Feed search facets to enable efficient drill-down in search results
  • Recommend related or similar documents and knowledge

‘More and more publishers are seeing the benefits of semantic content enrichment to boost the value of their content and help market it in innovative ways,’ said Daniel Mayer, Product Marketing Manager, TEMIS

Press release:

Written by hbasset

February 3, 2011 at 8:42 pm