ScholarBase: Towards a cross-domain knowledgebase for linked scholarly data

Elbattah, Mahmoud

Abstract

Linked Data has gained a significant momentum over the last years through various initiatives embraced by academia and industry as well. In this paper, we introduce ScholarBase, a research project in progress that is aimed to serve as a Linked Data repository for cross-domain scholarly data. ScholarBase can be conceived as a knowledgebase that weaves links among scholars, institutions, research areas, publications, and geographical locations in a Linked Data fashion. Initially, the primary source of data stems from Google Scholar, specifically the profile pages of scholars. Subsequently, the collected dataset is transformed into a semantic-based format (i.e. RDF). The semantified dataset will enable a machine-readable expression of entity relationships, and can in turn be linked to external knowledge bases (e.g. DBpedia). Through the paper, we discuss the architecture and implementation of the project. ScholarBase can play an important role in the Linked Data web by opening extended opportunities for interesting applications, and data exploration of scholarly data.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: SWM '17: 1st Workshop on Scholarly Web Mining
• Start Date: Feb 10, 2017
• Online Publication Date: Feb 10, 2017
• Publication Date: Feb 10, 2017
• Deposit Date: Nov 23, 2024
• Peer Reviewed: Peer Reviewed
• Pages: 33-40
• Book Title: SWM '17: Proceedings of the 1st Workshop on Scholarly Web Mining
• DOI: https://doi.org/10.1145/3057148.3057153
• Public URL: https://uwe-repository.worktribe.com/output/13461833
• Additional Information: Published: 2017-02-10