Ontology Competition

By Melody Smith | April 1, 2011

Rearden Commerce has announced its sponsorship of a category of The World Championship for Automated Theorem Proving (ATP), Large Theory division. The competition showcases the latest advancements in logical reasoning.

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The Importance of Linked Data

By Melody Smith | March 29, 2011

In its purest form, linked data can be found at the research desk in any library. Access to sources and pertinent information connected to but beyond your initial inquiry, can make your results more inclusive and dynamic.

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New Tech Projects Get Funding from Harvard Library Lab

By Melody Smith | March 23, 2011

The Harvard Library Lab announced its first ten projects. Included in those projects is LibraryCloud, whose goal is to allow access to a wide range of Harvard Library metadata via an application programming interface (API) that would allow developers to create new apps based on the information.

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Research Classification Needs Clear Taxonomies

By Melody Smith | February 16, 2011

Funding models and how they influence research endeavours haven’t always been the topic of cocktail parties, let alone gatherings of professional researchers. However there is considerable discrepancy in the models deployed across the continents and one author at least, thinks it should be discussed.

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Call for Classification and Ontology Papers

By Melody Smith | January 21, 2011

Classification and Ontology is the third biennial conference in a series of UDC Seminars organized by the Universal Decimal Classification Consortium (UDC Consortium) and hosted by Koninklijke Bibliotheek (The National Library of Netherlands).

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Repositioning Information Science

By Melody Smith | November 8, 2010 |

One of the sessions I attended while at the 2010 meeting of the American Society for Information Science and Technology (ASIS&T) in Pittsburgh recently was presented by Michael Buckland, Fidelia Ibekwe-Sanjuan, and Kiersten Latham. This interesting session was actually three coordinated presentations that individually and together questioned the accepted view of information science as an emerging, scientific discipline closely tied with information technology and, mainly, textual data.

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