International Business Machines Corporation

Clyde Lee Cain, Jr

Feng-wei Chen

Nikhil R Parekh

William Donald Reed

Margaret H Mago

Ju Y Lee

Yoo Y Lee

Margaret J Mago

Embodiments of the present invention provide a novel and non-obvious method, server and computer program product for finding relevant content in a knowledge base. A method for finding items that are related to a user selected item in a knowledge base is provided. The method can include generating a first list of knowledge base items with a defined relationship to the user selected item and generating a second list of knowledge base items that belong to the same category as a category of the user selected item. The method can further include generating a third list of knowledge base items having one or more tags identical to one or more tags of the user selected item and selecting a first set of knowledge base items that are present in the first, second or third lists. The method can further include displaying the first set of knowledge base items as most relevant.

Relevance content searching for knowledge bases

A method for generating an ontology may include selecting, by a processing device, a tag in a tag cloud. The method may also include searching, by the processing device, an online encyclopedia for content corresponding to the selected tag and determining, by the processing device, at least one category to which the content belongs in the online encyclopedia in response to finding the content corresponding to the selected tag in the online encyclopedia. The method may additionally include adding, by the processing device, a class to the ontology corresponding to the at least one category of the content in the online encyclopedia.

Creating an ontology using an online encyclopedia and tag cloud

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Raleigh, NC, United States of America

Clyde Lee Cain, Jr