CAMBRIDGE, England and BOSTON, June 19, 2014 /PRNewswire/ — Today, Linguamatics launches I2E Semantic Enrichment to provide increased return on investment in enterprise search systems and radically improve speed to insight. I2E Semantic Enrichment is used within an existing enterprise search deployment to enrich the current data, make it more discoverable and provide more relevant search results. The software scans millions of documents to identify and mark-up semantic entities such as genes, drugs, diseases, organizations, authors and other relevant concepts and relationships. Enterprise search engines consume this enriched metadata to provide a faster, more effective search for users. Read more
Posts Tagged ‘Linguamatics’
Linguamatics is looking for a Software Client Services Engineer in Westborough, MA. According to the post, “Linguamatics is a leading provider of text mining solutions with a current emphasis on high value life science, chemistry and biomedical applications. Thanks to a great team, and innovative use of semantic and natural language processing (NLP) technologies, our software is acknowledged as a leading solution in the pharmaceutical, biotech and healthcare industries and has been adopted by most of the top 20 global pharmaceutical companies. We are now looking for a Software Client Services Engineer to be located in our Westborough, MA office.” Read more
CAMBRIDGE, England and BOSTON, April 22, 2014 /PRNewswire/ – Linguamatics is today celebrating being named as a winner of the Queen’s Award for Enterprise – the UK’s highest accolade for business success.
Linguamatics receives the award for International Trade in recognition of outstanding growth in export sales across USA and Europe for its natural language processing (NLP)-based text analytics software platform. Over the past five years Linguamatics achieved growth in excess of 300 percent in overseas sales and staff growth of almost 200 percent. Read more
Selventa and Linguamatics have announced a strategic partnership to provide a “complete pipeline of scientific knowledge extraction to their life science partners.” According to the article, “The alliance will bring together established analytical capabilities of both companies to efficiently extract complex life science knowledge in a computable, structured, biological expression language (BEL) format that can be used to interpret large-scale experimental data in the context of published literature.” Read more