|Weekly News Digest
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LexisNexis Announces New IP Research Technology With Semantic Search “Brain”
LexisNexis announced the debut of a new semantic search “brain” for its full complement of intellectual property (IP) research products. The next-generation semantic search technology identifies the meaning of multiple concepts within a single search query to help users zero in on core concepts faster and make fewer revisions to their search queries. The technology will power the patent research and retrieval service LexisNexis TotalPatent, the automated patent application and analysis product LexisNexis PatentOptimizer, and IP research across patent and non-patent literature conducted on the flagship lexis.com online legal research service.
Semantic search uses the science of meaning in language (“semantics”) to produce highly relevant search results. LexisNexis launched its semantic search technology 18 months ago, significantly enhancing the search process for patent researchers through technology that delivers results based on an analysis of the meaning of the language used in search queries—not just the words themselves.
The new semantic search technology takes this science to the next level by enhancing its ability to identify multiple concepts contained within a single search query. Thus, if a patent researcher asks the LexisNexis search engine to find information about a complex subject, the new semantic brain will actually identify various possible ideas contained in that request and return related concepts for each idea in their query. The researcher can then review the concepts suggested, assign relative importance by weighting them, eliminate concepts that aren’t related, and even add more concepts they think might be useful to the search project.
LexisNexis also introduced a series of enhancements to its TotalPatent service. The most notable addition is a new “Visualize & Compare” tool that allows users to compare and analyze any two or three result sets or lists of patents, regardless of the underlying search mechanism, for example a comparison between a Boolean search result and a semantic search result.
The new comparison capability not only highlights documents that were uniquely surfaced in one query or list versus another, but also serves as an important tool to assist researchers in analyzing and improving their overall search strategy and queries to find the most precise documents. The comparison tool will also give patent researchers greater confidence that they have executed the most comprehensive search possible, thereby lowering the risk of missing crucial documents.
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