Systems and methods for semantic search, content correlation and visualization

a semantic search and content technology, applied in the field of semantic search, content correlation and visualization, can solve the problems of producing too many false positives and missing too many relevant documents

Inactive Publication Date: 2011-11-03
ORBIS TECHNOLOGIES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0038]In some embodiments, the named entities may be assigned to a category selected from the group consisting of a person, an organization, a location, and a date. The server node may be further configured to transmit to the user interface a list of documents in an order based on a determined relevance of each respective result to the at least one name of an entity of interest. The server node may ...

Problems solved by technology

However, such search techniques may produce too ma...

Method used

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  • Systems and methods for semantic search, content correlation and visualization
  • Systems and methods for semantic search, content correlation and visualization

Examples

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Embodiment Construction

[0074]With reference to FIG. 1, according to one aspect of the invention, a system 10 is provided whereby interactive client devices having displays (referred to herein as “user interface nodes”), such as computers 12 and 14 having wired connections to an electronic communication network 20 and client devices such as computer 15, browser-equipped cell phone 16 and handheld network accessing device 18 having wireless connections to electronic communications network 20, are enabled to access a search appliance 22 and visualization / navigation engine 26 via application server 24. Electronic communication network 20 may be a public or private network. A client device user may initiate a document search by providing, for example, key words to search appliance 22. Search appliance 22 may perform a key word search of documents indexed and / or stored in document / artifact data store 40 and return a list of matching documents to the client device for display to the user. The user may select a s...

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Abstract

Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]The present application claims priority benefit under 35 U.S.C 119(e) of U.S. Provisional Patent Application No. 61 / 282,969, entitled “Systems and Methods for Semantic Search, Content Correlation and Visualization,” filed Apr. 30, 2011, the contents of which are incorporated herein by reference in their entirety.BACKGROUND OF THE INVENTION[0002]1. Field of the Invention[0003]The present invention relates to systems and methods for searching a large corpus of data to identify contextually relevant search results, correlating content and visualizing the results.[0004]2. Description of the Related Art[0005]There has been much research on search and retrieval of documents. Typically, searching requires knowledge of a specific term or set of terms. Similarity-based document retrieval allows the user to fetch “more documents like this one” by using a general document-similarity score as measured by counting words without regard to context. Howe...

Claims

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Application Information

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IPC IPC(8): G06F3/048
CPCG06F17/2211G06F40/194
Inventor CROCHET, LARRYNIV, MICHAEL
Owner ORBIS TECHNOLOGIES
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