Text mining enhances Educational Evidence Portal - new article and demo site


The UK Education Evidence Portal (eep) provides a single, searchable, point of access to the contents of the websites of 33 organizations relating to education, with the aim of revolutionizing work practices for the education community. Use of the portal alleviates the need to spend time searching multiple resources to find relevant information. However, the combined content of the websites of interest is still very large (over 500,000 documents and growing). This means that searches using the portal can produce very large numbers of hits.

The JISC-funded ASSIST project has produced a prototype web interface to demonstrate the applicability of integrating a number of text-mining tools and methods into the eep, to facilitate an enhanced searching, browsing and document-viewing experience. New features include automatic classification of documents according to a taxonomy, automatic clustering of search results according to similar document content, and automatic identification and highlighting of key terms within documents.

The features and functionality of the interface are more fully described in a newly-released article:

Sophia Ananiadou, Paul Thompson, James Thomas, Tingting Mu, Sandy Oliver, Mark Rickinson, Yutaka Sasaki, Davy Weissenbacher and John McNaught (2010).
Supporting the Education Evidence Portal via Text Mining. Philosophical Transcations of the Royal Society A, 368(1925), 3829-3844.

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