title: Discovering, Indexing and Interlinking Information Resources.
abstract: The social media revolution is having a dramatic effect on the world of scientific publication. Scientists now publish their research interests, theories and outcomes across numerous channels, including personal blogs and other thematic web spaces where ideas, activities and partial results are discussed. Accordingly, information systems that facilitate access to scientific literature must learn to cope with this valuable and varied data, evolving to make this research easily discoverable and available to end users. In this paper we describe the incremental process of discovering web resources in the domain of agricultural science and technology. Making use of Linked Open Data methodologies, we interlink a wide array of custom-crawled resources with the AGRIS bibliographic database in order to enrich the user experience of the AGRIS website. We also discuss the SemaGrow Stack, a query federation and data integration infrastructure used to estimate the semantic distance between crawled web resources and AGRIS.
authors: Food and Agriculture Organization of the UN, Rome, Italy.
authors: Fabrizio
authors: F
authors: Celli
authors: Food and Agriculture Organization of the UN, Rome, Italy.
authors: Johannes
authors: J
authors: Keizer
authors: Food and Agriculture Organization of the UN, Rome, Italy.
authors: Yves
authors: Y
authors: Jaques
authors: NCSR Demokritos, Athens, Greece.
authors: Stasinos
authors: S
authors: Konstantopoulos
authors: Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia.
authors: Dušan
authors: D
authors: Vudragović
keywords: AGRIS; Linked Data; Recommender Systems; SemaGrow; Text Categorization; Web Crawling