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AssigneeAgency for Science, Technology and Research
InventorsAh Hwee Tan, Rajaraman Kanagasabai
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A method and a system for discovering knowledge from text documents are disclosed, which involve extracting from text documents semi-structured meta-data, wherein the semi-structured meta-data includes a plurality of entities and a plurality of relations between the entities; identifying from the semi-structured meta-data a plurality of key entities and a corresponding plurality of key relations; deriving from a domain knowledge base a plurality of attributes relating to each of the plurality of entities relating to one of the plurality of key entities for forming a plurality of pairs of key entity and a plurality of attributes related thereto; formulating a plurality of patterns, each of the plurality of patterns relating to one of the plurality of pairs of key entity and a plurality of attributes related thereto; analyzing the plurality of patterns using an associative discoverer; and interpreting the output of the associative discoverer for discovering knowledge.
A method for discovering knowledge from a set of text documents using a processor, the method comprising:
A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for discovering knowledge from a set of text documents, the computer program product comprising:
A system for knowledge discovery from a set of free-text documents, the system comprising:
Dependencies are inferred from the claim text.