Semantic Data Sharing and Presentation in Integrated Knowledge System

Krysiński, Michał; Krystek, Marcin; Mazurek, Cezary; Pukacki, Juliusz; Spychala, Pawel; Stroiński, Maciej; Węglarz, Jan

doi:10.1007/978-3-642-35647-6_6

Cited by 1 publication

(2 citation statements)

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“…Extending on the work of Popovič [12] ,von Halle [10] [11] , and Krysinski et al [13] present their case for creating a convenient semantic environment for ordinary users so that meaning of data fields are easily discovered as well as maintaining rich functionality available for professionals for semantic engagement with multiple information systems. The authors pay special attention to semantic standards and data cooperation issues, which makes their system available to other applications implementing semantic data and keeps it open for data integration projects.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The authors pay special attention to semantic standards and data cooperation issues, which makes their system available to other applications implementing semantic data and keeps it open for data integration projects. [13] The authors argue for the creation of a semantic data repository in subject, predicate and object format which is a natural and widely used representation of semantic data. A schema describing the structure of data is expressed as Ontology Wide Language document unlike in the case of relational based systems in which a structure of data is reflected by the structure of a database [13].…”

Section: Literature Reviewmentioning

confidence: 99%

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A Semantic Data Model: Meaning Making from Data Structures in the SQL Server

Ramesh

Henderson

2018

JISEBI

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Information systems designs are increasingly concerned with entity relationships and technical programmatic approaches to solutions architecture as opposed to semantic based, business focused information architecture that places business definitions at the centre of the information system design and implementation. The disconnect between information technology and business is perpetuated by an overly prescriptive information technology technical design method that fails to incorporate qualitative and normative aspects of business, where information is structured and delivered according to business. The paper will discuss various decision support and semantic approaches to information design and delivery and argue that the traditional modes of solution delivery do not include meaning making of the data elements which are essential to business information reporting and analytics. The meaning making aspect identified is linked to data dictionary or business data glossary that allows for the discovery of semantic meaning from the SQL Server. Using Christian Fürber’s methodology on semantic programming, the analytics team developed a semantic model that enabled detailed definition of fields and the discovery of information using semantic search functionality embedded in the SQL Server. The project provided semantic data framework that provided business with the capability for semantic reconciliation and data sets that were further integrated with Tableau visualization and SQL auto processes.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%