Method and apparatus for performing semantic-based data analysis
First Claim
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1. A computer implemented method for performing a semantic-based analysis of a plurality of documents with regard to a query, the method comprising:
- extracting, by a content processor, semantic information from content of a plurality of documents, the semantic information including a plurality of factual beliefs;
assigning a weight to each of the factual beliefs, the weights being based at least partly on relevance to the query;
assigning links between documents containing related semantic information;
assigning a weight to each link indicating a confidence level that the documents comprise semantically related information; and
determining one or more inferential relationships regarding the query based upon analysis of the plurality of weighted factual beliefs and the links, wherein determining one or more inferential relationships includes applying rules to the weighted factual beliefs and the weighted links to obtain the one or more inferential relationships.
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Abstract
A computer implemented method and apparatus for analyzing content of a plurality of documents. The method extracts semantic information from content of a plurality of documents; assigns weights to the semantic information; assigns links between documents containing similar semantic information; assigns a weight to each link; extracts information about the content of the plurality of documents by using the weighted links and weighted semantics to cluster the documents, perform inferential analysis, or both.
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Citations
16 Claims
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1. A computer implemented method for performing a semantic-based analysis of a plurality of documents with regard to a query, the method comprising:
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extracting, by a content processor, semantic information from content of a plurality of documents, the semantic information including a plurality of factual beliefs; assigning a weight to each of the factual beliefs, the weights being based at least partly on relevance to the query; assigning links between documents containing related semantic information; assigning a weight to each link indicating a confidence level that the documents comprise semantically related information; and determining one or more inferential relationships regarding the query based upon analysis of the plurality of weighted factual beliefs and the links, wherein determining one or more inferential relationships includes applying rules to the weighted factual beliefs and the weighted links to obtain the one or more inferential relationships. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer implemented method for performing a semantic-based analysis of a plurality of documents with regard to a query, the method comprising:
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extracting, by a content processor, semantic information from content of a plurality of documents, the semantic information including a plurality of factual beliefs; assigning a weight to each of the factual beliefs, the weights being based at least partly on relevance to the query; assigning links between documents containing related semantic information; and
assigning a weight to each link indicating a confidence level that the documents comprise semantically related information;performing clustering of the plurality of documents by applying a cluster tool to identify documents having content with common information; adjusting at least one weight of at least one of the weighted factual beliefs or the weighted links to modify at least one cluster of documents; and inferring one or more inferential relationships regarding the query based upon analysis of the plurality of weighted factual beliefs and the links. - View Dependent Claims (8)
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9. An apparatus for performing a semantic-based analysis of a plurality of documents with regard to a query, the apparatus comprising:
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a central processing unit (CPU); a content processor for extracting semantic information from content of a plurality of documents, the semantic information including a plurality of factual beliefs, assigning a weight to each of the factual beliefs, the weights being based at least partly on relevance to the query, and assigning links between documents containing related semantic information; a cluster identifier that performs clustering of the plurality of documents by applying a cluster tool to identify documents having content with common information, wherein the cluster identifier adjusts at least one weight of at least one of the weighted factual beliefs or the weighted links to modify at least one cluster of documents; and an inference identifier that determines one or more inferential relationships regarding the query based upon analysis of the plurality of weighted factual beliefs and the links. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A non-transitory computer readable medium for storing computer instructions that, when executed by a processor, cause the processor to perform a method for performing a semantic-based analysis of a plurality of documents with regard to a query, the method comprising:
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extracting semantic information from content of a plurality of documents, the semantic information including a plurality of factual beliefs; assigning a weight to each of the factual beliefs, the weights being based at least partly on relevance to the query; assigning links between documents containing related semantic information; assigning a weight to each link indicating a confidence level that the documents comprise semantically related information; and determining one or more inferential relationships regarding the query based upon analysis of the plurality of weighted factual beliefs and the links, wherein determining one or more inferential relationships includes applying rules to the weighted factual beliefs and the weighted links to obtain the one or more inferential relationships.
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Specification