Holovisions U.S. Patent for Context-Driven Search is Approved

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New search engine methodology groups and displays search results by semantic context

Holovision LLC

"In five years people will be using a search engine that generates a narrative"

Holovisions announces the publication of U.S. Patent #8,161,073 for Context-Driven Search. Context-driven search analyzes the semantic context for query phrases in web pages or other documents and clusters these sources into groups of results with similar meaning. This provides results that are organized by query phrase context. Search users no longer have to wade through pages of results to pick out those entries that relate to the semantic context in which they are interested.

For over a decade, search users have generally been content to receive a page of algorithm-sorted links to web pages in response to a search query. However, search is changing. Five years from now it will be very unlikely that users will still be using a search engine that yields a set of links that lacks semantic organization. Some large technology companies are offering voice-based search engines that provide short answers to some types of queries, pursuing semantic search, and incorporating social media into search results. Some newer and increasingly-popular technology companies such as DuckDuckGo are providing new search features and privacy options. Wikipedia provides human-generated narrative with imbedded links.

"Our vision for the future of search is that these innovations will converge," says Robert A. Connor, Ph.D., CEO of Holovisions, "In five years people will be using a search engine that generates a narrative, with semantic-organized imbedded links, in real time in response to their query. Context-driven search… and our other pending patents related to text-based search, text morphing, and document synthesis… are steps, albeit modest ones, toward making this vision a reality."

Today's search engines do not produce search results that are driven by the major contextual uses of a search input phrase. Accordingly, search results can be a jumble of different contextual meanings. This makes a user wade through pages of results (manually scanning titles, text snippets, and URLS) in order to pick out those entries that relate to the context for the phrase in which the user is interested.

Context-driven search solves this problem in three steps. First, a person provides an input phrase search query. Second, the search engine identifies sets of substantially-equivalent expanded phrases that are relevant to the input phrase. Third, the search engine provides the person with set-specific summary information concerning these sets of substantially-equivalent expanded phrases. This three-step method provides search results that are driven, consolidated, and summarized by search phrase context.

About Holovisions LLC: Holovisions is a technology start-up in Minnesota, wherein the long winters prompt creative ideation in order to keep warm. In addition to this approved U.S. patent for context-driven search, Holovisions also has pending patents for document-synthesizing methods and text morphing methods. Further, Holovisions has created a proprietary database of phrase synonyms to power context-driven search and text morphing. Holovisions also has IP in the field of glasses-free 3D display. The CEO of Holovisions, Robert A. Connor, Ph.D., soon to be a professor emeritus, is a serial inventor on numerous patents and has been honored by the Minnesota Intellectual Property Law Association.

Contact: Robert A. Connor, Ph.D.,CEO, Holovisions LLC, (612) 339-1442, info(at)Holovision(dot)com

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Robert A. Connor, Ph.D., CEO