Semantic integration of enterprise information systems using meta-metadata ontology

Igor Cverdelj-Fogaraši (), Goran Sladić (), Stevan Gostojić (), Milan Segedinac () and Branko Milosavljević ()
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Igor Cverdelj-Fogaraši: University of Novi Sad
Goran Sladić: University of Novi Sad
Stevan Gostojić: University of Novi Sad
Milan Segedinac: University of Novi Sad
Branko Milosavljević: University of Novi Sad

Information Systems and e-Business Management, 2017, vol. 15, issue 2, No 3, 257-304

Abstract: Abstract This paper proposes a non-domain-specific metadata ontology as a core component in a semantic model-based document management system (DMS), a potential contender towards the enterprise information systems of the next generation. What we developed is the core semantic component of an ontology-driven DMS, providing a robust semantic base for describing documents’ metadata. We also enabled semantic services such as automated semantic translation of metadata from one domain to another. The core semantic base consists of three semantic layers, each one serving a different view of documents’ metadata. The core semantic component’s base layer represents a non-domain-specific metadata ontology founded on ebRIM specification. The main purpose of this ontology is to serve as a meta-metadata ontology for other domain-specific metadata ontologies. The base semantic layer provides a generic metadata view. For the sake of enabling domain-specific views of documents’ metadata, we implemented two domain-specific metadata ontologies, semantically layered on top of ebRIM, serving domain-specific views of the metadata. In order to enable semantic translation of metadata from one domain to another, we established model-to-model mappings between these semantic layers by introducing SWRL rules. Having the semantic translation of metadata automated not only allows for effortless switching between different metadata views, but also opens the door for automating the process of documents long-term archiving. For the case study, we chose judicial domain as a promising ground for improving the efficiency of the judiciary by introducing the semantics in this field.

Keywords: Enterprise information systems; Semantic document management systems; Semantic services; Metadata model; Model-to-model mappings; Semantic metadata translation (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10257-015-0303-6

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