Abstract--This position paper describes the challenges related to federated enterprise search over heterogeneous product information sources. It focuses on the aspect of finding re...
On the Semantic Web, decision makers (humans or software agents alike) are faced with the challenge of examining large volumes of information originating from heterogeneous sources...
We formulate a novel problem of summarising entities with limited presentation budget on entity-relationship knowledge graphs and propose an efficient algorithm for solving this pr...
Marcin Sydow, Mariusz Pikula, Ralf Schenkel, Adam ...
We address the problem of extracting semantics of tags ? short, unstructured text-labels assigned to resources on the Web ? based on each tag's metadata patterns. In particul...
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...