Semantically Enrichable Research Information System SocioNet
- Cite this paper as:
- Parinov S., Lyapunov V., Puzyrev R., Kogalovsky M. (2015) Semantically Enrichable Research Information System SocioNet. In: Klinov P., Mouromtsev D. (eds) Knowledge Engineering and Semantic Web. Communications in Computer and Information Science, vol 518. Springer, Cham
Our paper presents a semantically enrichable type of research information systems, which differs from the traditional one by allowing users to create semantic linkages between information objects and to enrich by this the initial content. This approach was implemented as a whole ecosystem of tools and services at the SocioNet research information system, which is publicly available for the research community. Making semantic linkages, the SocioNet users create over metadata from its content a semantic layer that visualizes their scientific knowledge or hypothesis about relationships between research outputs. Such facilities, in particular, open new opportunities for authors of research outputs. Authors can essentially enrich metadata of their research outputs after the papers have been published and have become available at the SocioNet content. Authors can provide comments and notes for updating publication abstracts, data about motivations for citing the papers in the reference lists, research association with newer relevant publications, data about their personal roles and contributions into the collective research outputs, etc.
KeywordsResearch information system Semantic enrichment Semantic linkage Scientific relationship Taxonomy Controlled vocabulary SocioNet
Unable to display preview. Download preview PDF.