Press release: Linguamatics broadens the utility of its market-leading text mining platform with the launch of a new web services api, virtual data integration and new chemistry capabilities

December 13 2012

I2E 4.0 delivers the next-generation in text mining and knowledge discovery for existing and new users

(Cambridge, England and Boston, USA – December 13th, 2012) Linguamatics is proud to announce the launch of a dramatically enhanced version of its already successful and well established text mining software platform, I2E.  Significant step change enhancements in the latest release, Version 4.0, have been added in terms of Web Services, Virtual Data Integration and Chemistry, amongst others.  These improvements have been made as part of Linguamatics’ continuing investment in research and technology development.

Web Services API: The new Linguamatics I2E WSAPI (Web Services API) will open up the power of state-of-the-art natural language processing (NLP) based text mining to a broader range of users within the organization by allowing easier and more focussed interfaces for different audiences.  Organizations will therefore find it much easier to embed text mining into core systems and work flows, deployed via intuitive, accessible, customized interfaces.

Virtual Data Integration: Regardless of how many disparate data sources need to be mined, I2E now has the power to analyze and extract information and knowledge from all of them simultaneously.  This enables users to dramatically increase the speed of their knowledge extraction, by avoiding the need to carry out a series of separate searches over multiple data sources. It also makes it easy to create queries that connect together the different data sources, allowing information from different silos to be brought together to create new knowledge.

Advanced Chemistry: Linguamatics I2E can now deal with recognition of novel compounds, which will give informaticians, researchers and patent analysts the power to investigate uncharted areas of innovation.  Recognition and analysis of chemical names allows powerful searching, for example to find chemicals which share a particular structure, substructure or similarity score.
Users will also benefit from other new features, including a new reporting format for query results. The product innovations in Version 4.0 will collectively mean that NLP-based text mining can be used by more people, more easily and in a more sophisticated and powerful fashion.