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LexisNexis Introduces Transparent Semantic Search Technology for Patent Research

Advanced semantic technology delivers greater user control, produces more relevant intellectual property research results

October 12, 2009 — New York, NY, October 12, 2009 - LexisNexis, a leading global provider of content-enabled workflow solutions, today announced the availability of transparent semantic search technology for its full complement of intellectual property (IP) research products – enabling users to find the most precise and relevant patent search results.

Through a development alliance with Dallas-based Pure Discovery, LexisNexis has become the first provider of legal information services to integrate the power of semantic search technology with familiar Boolean search technology, giving the user greater control over the patent research process via a simple, streamlined user interface that matches their typical daily workflow.

Semantic search uses the science of meaning in language ("semantics") to produce highly relevant search results. While semantic search engines are not uncommon, most contain limitations - including lack of transparency and user control - which can ultimately undermine the overall value of results. For example, they typically do not show precisely how search results are generated and the user must simply trust that the right relevance between the original query and the semantic application are, in fact, appropriate to the intent of the searcher.

The new semantic search solution from LexisNexis and Pure Discovery, however, overcomes such challenges to accomplish four breakthrough objectives in online search:

  • Transparency: Each query is enhanced by the machine intelligence and shown to the user for their complete understanding and engagement.

  • Increased control: Not only is the semantic search transparent, but users are in control with the ability to add, delete, increase or decrease the importance of all query words (concepts) in a unique visual query interface called a "querycloud."

  • Fully federated: While LexisNexis maintains one of the largest full-text patent and non-patent literature databases in the world, its semantic search platform can associate semantic searches to virtually any index, whether it resides internally or on the web.

  • Scalability: The LexisNexis index includes semantic intelligence from more than 10 million full-text patent documents from the U.S. Patent and Trademark Office's patent index, as well as Elsevier journal articles and other documents.

"With semantic search technology we have changed the very nature of online patent research by providing users with an additional means of researching patent and non-patent prior art," said Peter Vanderheyden, LexisNexis vice president of Global Intellectual Property. "This alliance will provide users with tools to create more meaningful queries, allowing them to obtain more precise results by using semantic technology to enhance their Boolean search strategies."

The new technology is now available through the patent research and retrieval service LexisNexis® TotalPatent™ and the automated patent application and analysis product LexisNexis® PatentOptimizer™. In addition, the functionality is also available through®, the flagship online legal research service from LexisNexis, for full-text non-patent prior art and other patent-related content.

About LexisNexis
LexisNexis® ( is a leading global provider of content-enabled workflow solutions designed specifically for professionals in the legal, risk management, corporate, government, law enforcement, accounting and academic markets. LexisNexis originally pioneered online information with its Lexis® and Nexis® services. A member of Reed Elsevier [NYSE: ENL; NYSE: RUK] (, LexisNexis serves customers in more than 100 countries with 18,000 employees worldwide.

About PureDiscovery
PureDiscovery ( is the creator of KnowledgeGraph, a semantic software platform that transforms an organization's documents into a working collective intelligence. PureDiscovery's technology semant

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