CLIENT-BASED SEARCH OVER LOCAL AND REMOTE DATA SOURCES FOR INTENT ANALYSIS, RANKING, AND RELEVANCE
First Claim
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1. A system, comprising:
- a global access component that is a unified interface to disparate data discovery paradigms, the global access component provides access to corresponding disparate datasets;
a local search component creates aggregations of information from the disparate datasets via the global access component and processes a query against the aggregations of information to return search results, the local search component performs intent analysis of the query to derive query intent, ranking of the search results, and relevance processing of the search results based on the query intent; and
a processor that executes computer-executable instructions associated with at least one of the global access component or the local search component.
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Abstract
A search engine that resides on a local computer to enable query intent analysis, results ranking, and relevance processing over data of both local and remote data sources. The architecture also employs a global access component, which is a unified interface to disparate data discovery paradigms. The global access component provides access to corresponding disparate datasets of the paradigms for creating aggregation of information. A local search engine creates the aggregations of information from the disparate datasets via the global access component and processes a query against the aggregations of information to return search results.
46 Citations
20 Claims
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1. A system, comprising:
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a global access component that is a unified interface to disparate data discovery paradigms, the global access component provides access to corresponding disparate datasets; a local search component creates aggregations of information from the disparate datasets via the global access component and processes a query against the aggregations of information to return search results, the local search component performs intent analysis of the query to derive query intent, ranking of the search results, and relevance processing of the search results based on the query intent; and a processor that executes computer-executable instructions associated with at least one of the global access component or the local search component. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method, comprising acts of:
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creating aggregations of information locally from disparate datasets of corresponding data discovery paradigms; processing a query locally against the aggregations of information to return search results; deriving query intent from the search results; ranking the results based on sources of the results; processing the ranked search results for relevance to a specific topic; outputting the relevant search results; and utilizing a processor that executes instructions stored in memory to perform at least one of the acts of creating, processing, deriving, ranking, processing, or outputting. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A method, comprising acts of:
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locally creating aggregations of information from a local dataset and a network-based dataset; locally extracting dominant terms and topics from the aggregations of information to categorize, group, and browse through the aggregations of information; locally processing a query against the aggregations of information to return search results from the local dataset and from the network-based dataset; deriving query intent from the search results; ranking the results based on sources of the results; processing the ranked search results for relevance based on the sources; outputting the relevant search results; and utilizing a processor that executes instructions stored in memory to perform at least one of the acts of creating, extracting, processing, deriving, ranking, processing, or outputting. - View Dependent Claims (18, 19, 20)
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Specification