Paper 97 (Resources track)

SemSur: A Core Ontology for the Semantic Representation of Research Findings

Author(s): Said Fathalla, Sören Auer, Christoph Lange

Abstract: The way how research is communicated using text publications has not changed much. We have the vision that ultimately researchers will work on a common structured knowledge base comprising comprehensive semantic and machine-comprehensible descriptions of their research, thus making research contributions transparent and comparable. The current approach for structuring, systematizing and comparing research results is based on survey or review articles. We present the SemSur ontology for semantically capturing the information commonly found in survey and review articles. SemSur allows to represent individual research problems, approaches, implementations and evaluations in a structured and comparable way. We discuss possible applications and present an evaluation of our approach with the retrospective, exemplary semantification of a survey. We demonstrate the utility of the SemSur ontology to answer queries about the different research contributions covered by the survey.

Keywords: Semantic Metadata Enrichment; Quality Assessment; SWRL rules; Knowledge-based Scholarly Communication; Semantic Publishing

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