Abstract
The needs of global science have fostered open access to the results and contextual information of research organizations at an international scale. This requires the use of standards or shared data models to exchange information preserving its semantics when transferred between systems. In that direction, standards as CERIF or projects as VIVO were developed to exchange or expose the scientific knowledge. Also, there are other sources of scientific information in the Web that are useful to complement institutional repositories and CRISes. The heterogeneity of data models behind each source in turn raises the need for mappings between them to ease interchange and aggregate information. In this paper, we present a tool that integrates three sources of research information and enables their aggregating and export into both VIVO and CERIF models. We present a case study in agriculture using OpenAGRIS, a bibliographic database linked to Web sources with more than 7 million records. Concretely, we describe the methods to combine Google Scholar data for the scholarly content indexed in OpenAGRIS and aggregating new information provided by the first one, using our tool. Finally the information is stored in a VIVO instance and then translated into CERIF using a conversion process mapping both data models. The case demonstrates the possibilities of mapping tools to aggregate and translate CRIS information.
Highlights
One of the objectives of researching is to share the knowledge with the rest of the world so it can take benefits of it
VIVO is an approach to share research information but it has the problem that its use is not very extended, and that it is not recognized as a standard or recommended by any political community
VIVO is represented through Resource Description Framework6 (RDF) statements using classes and properties from the Web Ontology Language7 (OWL)
Summary
One of the objectives of researching is to share the knowledge with the rest of the world so it can take benefits of it. CERIF was released 1991 and 2000 as an EC Recommendation to European Member States2 Another project with a similar aim of storing scientific knowledge and interchanging data between organizations is VIVO [2], providing an open source semantic web based application for the discovery of research information across institutions. It is based on an ontology through which institutions create their local instances and populate them with their research activities and results. The information will be formatted in two standards VIVO and CERIF
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