Using SPEM to Analyze Open Data Publication Methods
| Autor: | Jan Kučera, Dušan Chlapek |
|---|---|
| Přispěvatelé: | University of Economics [Prague], A Min Tjoa, Li Da Xu, Maria Raffai, Niina Maarit Novak, TC 8, WG 8.9 |
| Rok vydání: | 2016 |
| Předmět: |
Open government
Structure (mathematical logic) Government Scope (project management) business.industry Process (engineering) Computer science [SHS.INFO]Humanities and Social Sciences/Library and information sciences Public sector Method Software and Systems Process Engineering Meta-Model Data science Open Government Data World Wide Web Open data Software Open Data SPEM [INFO]Computer Science [cs] business Analysis |
| Zdroj: | Lecture Notes in Business Information Processing ISBN: 9783319499437 CONFENIS Lecture Notes in Business Information Processing |
| DOI: | 10.1007/978-3-319-49944-4_4 |
| Popis: | Part 1: Semantic Concepts and Open Data; International audience; Open Data is a current trend in sharing data on the Web. Public sector bodies maintain large amounts of data that, if re-used, could be a source of significant benefits. Therefore Open Government Data initiatives have been launched in many countries in order to increase availability of openly licensed and machine-readable government data. Because Open Data publishers face various challenges, methods for publication of Open Data are emerging. However these methods differ in focus, scope and structure which might complicate selection of a method that would suit specific needs of an organization. In this paper we discuss the possible benefits of constructing Open Data publication methods from a meta-model and we use the Software and Systems Process Engineering Meta-Model version 2.0 to analyze similarities and differences in structure of three Open Data publication methods. |
| Databáze: | OpenAIRE |
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