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LexisNexis?,announced yesterday that it has signed an agreement with SRA International, Inc. to implement SRA?s text analytics product NetOwl? as its enterprise tool to deliver enhanced search and discovery capabilities for legal and business professionals.??
Here’s the press release in full..
By integrating NetOwl?s entity, link, and event extraction capabilities into its solutions, LexisNexis will create a richer set of metadata for each piece of text-based content it offers. This enrichment will deliver a more sophisticated semantic search capability, answer filtering, and analytics to LexisNexis customers ? enhancing their ability to quickly find and analyze the information they need from across large enterprise databases.??”Implementing NetOwl semantic search and discovery technology in our solutions creates an even more complete and valuable research process for LexisNexis customers, helping them more efficiently and strategically find the trusted answers they need to confidently do their jobs,? said James Wanke, vice president, content shared services at LexisNexis.??”We are excited about this agreement because it will support LexisNexis in providing their customers with even more powerful ways to find information,” said Pat Burke, senior vice president, offerings and products at SRA. “The pairing of the leading-edge content and data expertise of LexisNexis with the NetOwl text analytics product will provide legal professionals and others a solution that sets the bar for management and analysis of unstructured text.”??NetOwl provides highly scalable advanced text analysis technology that automatically identifies and extracts key entities, links, and events from any text data source, in multiple languages. NetOwl automatically identifies and extracts more than 70 types of entities ? such as people, organizations, places, addresses, or other things ? from text data. NetOwl also has the unique capability to extract over 150 types of links and events indicating complex semantic relations between entities, such as employment, as well as semantic relations among events and its participant entities.
