S
Simon Scerri
Researcher at University of Bonn
Publications - 80
Citations - 1595
Simon Scerri is an academic researcher from University of Bonn. The author has contributed to research in topics: Ontology (information science) & Semantic Web. The author has an hindex of 17, co-authored 76 publications receiving 1335 citations. Previous affiliations of Simon Scerri include National University of Ireland & National University of Ireland, Galway.
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Journal ArticleDOI
A systematic review of open government data initiatives
TL;DR: The open government data life-cycle is described and a discussion on publishing and consuming processes required within open governmentData initiatives is focused on, and guidelines for publishing data are provided and an integrated overview is provided.
The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies
TL;DR: In this article, the authors discuss approaches for collaborative tagging activities at a semantic level, and presenting conceptual models for collaborative tag activities and folksonomies, and present criteria for comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria.
Proceedings ArticleDOI
Review and Alignment of Tag Ontologies for Semantically-Linked Data in Collaborative Tagging Spaces
TL;DR: This paper proposes a solution for tag data representation which allows data reuse across different tagging systems, and presents a method for federation among existing ontologies in order to generate re-usable, semantically-linked data that will underly tagging data.
Proceedings Article
The state of the art in tag ontologies: a semantic model for tagging and folksonomies
TL;DR: In this article, the authors discuss approaches for collaborative tagging activities at a semantic level, and presenting conceptual models for collaborative tag activities and folksonomies, and present criteria for comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria.
Proceedings ArticleDOI
Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems.
TL;DR: This work devise Enterprise Knowledge Graphs (EKGs) as a formal model to represent and manage corporate information at a semantic level and provides evidences that existing approaches do not implement all the EKG features, being therefore, a challenge the development of these features in the next generation of EISs.