The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data...
Kathrin Knautz, Simone Soubusta, Wolfgang G. Stock
Annotations are an important part in today’s digital libraries and Web information systems as an instrument for interactive knowledge creation. Annotation-based document retrieva...
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
This paper presents an evaluation of evolved term-weighting schemes on short, medium and long TREC queries. A previously evolved global (collection-wide) term-weighting scheme is ...
Hierarchic document clustering has been widely applied to Information Retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search. However, pre...
Anastasios Tombros, Robert Villa, C. J. van Rijsbe...