Camelot UK Bidco Limited

Thomson Reuters Global Resources Unlimited Company

Ekaterina Suvorova

Raphael Shmuel Ryger

Nikolai Nefedov

Jan Waerniers

Brian Ulicny

The present invention provides a method and system for identifying, retrieving and presenting electronic documents responsive to user queries. The three distinct inventive concepts are relevancy ranking of responsive documents based on component query technique; cross-lingual searching; and search expansion using analytics of initial results to derive and generate a modified query. Each of these inventions enhances document search and retrieval systems and the three solutions may be used separately or in any combination. The three inventions apply in layers above an underlying search system, controlling the submission of requests to the underlying system in support of received search requests, typically originating with an end user. Invention (III) provides a semantic-expansion capability specifically utilizing the availability of language independent fields in the data being searched with natural language query terms. This invention is enhanced by incorporating the preceding two inventions.

Method, system and software for searching, identifying, retrieving and presenting electronic documents

The present invention provides a method and system for identifying, retrieving and presenting electronic documents responsive to user queries. The three distinct inventive concepts are relevancy ranking of responsive documents based on component query technique; cross-lingual searching; and search expansion using analytics of initial results to derive and generate a modified query. Each of these inventions enhances document search and retrieval systems and the three solutions may be used separately or in any combination. The three inventions apply in layers above an underlying search system, controlling the submission of requests to the underlying system in support of received search requests, typically originating with an end user. Invention (I) involves use of focus-spectrum expanded search queries and either of two general types of enhanced OR operator that may be offered by the underlying search system. Processing of the content domain informs automated generation of elaborated queries using these operators for submitting to such an underlying system so as to yield improved relevance ranking.

The present invention provides a method and system delivering graph-based metric to measure a similarity between weighted sets of classifications codes (presented as nodes) defined on hierarchical taxonomy trees. The suggested method is applied to find company peers in a particular domain, e.g., the IP domain based on a company patent portfolio. The suggested method may be applied to other domains that include hierarchical classifications such as trademarks, legal documents, scientific papers, lawsuits etc.

Method and system for peer detection

The present invention provides a method and system for identifying, retrieving and presenting electronic documents responsive to user queries. The three distinct inventive concepts are relevancy ranking of responsive documents based on component query technique; cross-lingual searching; and search expansion using analytics of initial results to derive and generate a modified query. Each of these inventions enhances document search and retrieval systems and the three solutions may be used separately or in any combination. The three inventions apply in layers above an underlying search system, controlling the submission of requests to the underlying system in support of received search requests, typically originating with an end user. Invention (I) involves use of either of two general types of enhanced OR operator that may be offered by the underlying search system. Processing of the content domain informs automated generation of elaborated queries using these operators for submitting to such an underlying system so as to yield improved relevance ranking. Invention (II) introduces a cross-lingual search-term suggestion capability driven by the structured data being searched, requiring no dictionaries or thesauri and no rule-based or statistical language modeling. Invention (III) introduces a semantic-expansion capability specifically utilizing the availability of language independent fields in the data being searched with natural language query terms. This invention is enhanced by incorporating the preceding two inventions.

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Hamden, CT, United States of America

Ekaterina Suvorova