Discovering, Indexing and Interlinking Information Resources

F1000Res. 2015 Jul 30;4:432. doi: 10.12688/f1000research.6848.2. eCollection 2015.

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.

Keywords: AGRIS; Linked Data; Recommender Systems; SemaGrow; Text Categorization; Web Crawling.

Grant support

This work was supported by the European Commission under EU FP7 project SemaGrow (Grant No. 318497), and in part by the Ministry of Education, Science, and Technological Development of the Republic of Serbia (under project ON171017).