Ohio State Innovation Foundation

Manirupa Das

Rajiv Ramnath

John Eric Fosler-Lussier

Documents from a set of related documents in a domain are processed to identify keywords associated with each document. The documents are then further processed to identify the documents that are the most similar to each other. For each document, some or all of the keywords that are associated with the similar documents, but not the document itself, are selected as semantic tags for the document. These semantic tags determined for a document represent novel or hidden concepts and contexts that may relate to the document, but that do not actually appear in the document. The documents are used to train a model that generate semantic tags for a document or for keywords associated with the document. The generated model can then be used for a variety of purposes such the creation of an index for a set of documents or for query expansion.

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Powell, OH, United States of America

Manirupa Das