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2014
Conference Paper
Titel
Automating the web publishing process of environmental data by using semantic annotations
Abstract
Large amounts of environmental data are still hidden away in databases only accessible by domain experts. There is the need to make this data available to other experts for further data fusion. To implement standards like the Sensor Observation Service (SOS) huge efforts on the side of environmental agencies are required. At the same time, the pressure to make this data available to the interested public arises in form of Linked Open Data (LOD). This additional demand requires even more programming resources to fulfill the new requirements and interfaces. In this paper, we describe a system architecture, which simplifies and automates this problem of publishing environmental data in different data models. Ontologies are applied to map the different models' syntax and semantics. Additionally, we present a proof-of-concept implementation supporting both SOS and LOD interfaces.