Patent Document ID: 8150859
Application ID: 12701338

Base Claim:
1. One or more computer-readable media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: receiving a search query; performing a search using the search query; receiving a plurality of documents snippets from the search; identifying a first set of one or more candidate topics by comparing one or more document snippets to an ontology of topics; identifying a second set of one or more candidate topics by comparing one or more document snippets to an ontology of partial topics; identifying a third set of one or more candidate topics by generating key-phrase topics from one or more document snippets, wherein identifying the third set of one or more candidate topics includes computing independent key-phrases from document snippets remaining in the document set by: generating candidate key-phrases from one or more document snippets, evaluating candidate key-phrases for independence, merging mutually dependent candidate key-phrases, and identifying a most frequent candidate key-phrase for each group of merged mutually dependent key-phrases; ranking candidate topics from the first, second, and third set of candidate topics; selecting one or more topics based on ranking of the candidate topics; and providing a search results page in response to the search query, the search results page having a table of contents containing the one or more topics and a search results area for presenting one or more search results.

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Claim 2:
2. The one or more computer-readable media of claim 1 , wherein identifying the second set of one or more candidate topics by comparing one or more document snippets to the ontology of partial topics comprises identifying one or more partial topics and naming each partial topic, wherein a partial topic is named by: identifying occurrences of a partial topic identifier word for the partial topic within one or more document snippets; extracting words and/or phrases occurring around identified occurrences of the partial topic identifier word within the one or more document snippets; counting frequency of each extracted word and/or phrase; selecting a most frequently used word or phrase; and naming the partial topic using the partial topic identifier and the most frequently used word or phrase.