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.
Highlights
AGRIS is the International System for Agricultural Science and Technology, a collection of nearly 8 million multilingual bibliographic resources spanning the last forty years and produced by a network of more than 150 institutions from 65 countries
Since December 2013, AGRIS adopted a LOD (Linked Open Data) infrastructure [Anibaldi et al, 2015], which allowed the creation of mashup pages, where users looking for specific topics can access a publication from the AGRIS database, together with other related resources extracted from other preselected datasets
This paper describes a proposed solution to discover such knowledge making use of modified open source software (Nutch and Maui) together with the SemaGrow Stack and a custom recommender in order to enrich the relevance of AGRIS bibliographic resources and the AGRIS web portal mashup
Summary
AGRIS (http://agris.fao.org/) is the International System for Agricultural Science and Technology, a collection of nearly 8 million multilingual bibliographic resources spanning the last forty years and produced by a network of more than 150 institutions from 65 countries. Since December 2013, AGRIS adopted a LOD (Linked Open Data) infrastructure [Anibaldi et al, 2015], which allowed the creation of mashup pages, where users looking for specific topics (e.g. impacts of climate change in a country) can access a publication from the AGRIS database, together with other related resources extracted from other preselected datasets. External resources available in AGRIS mashup pages are bibliographic metadata, and distribution maps, statistics, germplasm accessions, and so on. In this paper we explore a new data source available in AGRIS mashup pages: the web itself
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