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Automating the web publishing process of environmental data by using semantic annotations

 
: Moßgraber, Jürgen; Hilbring, Desiree

:
Volltext urn:nbn:de:0011-n-3151448 (445 KByte PDF)
MD5 Fingerprint: 03444da9bb6a80a4c02f372293e4a51b
Erstellt am: 25.11.2014


Vrochidis, Stefanos (Ed.):
EMR 2014, Environmental Multimedia Retrieval : Proceedings of the 1st International Workshop on Environnmental Multimedia Retrieval co-located with ACM International Conference on Multimedia Retrieval (ICMR 2014), Glasgow, UK, April 1, 2014
Glasgow, 2014 (CEUR Workshop Proceedings 1222)
6 S.
International Workshop on Environnmental Multimedia Retrieval (EMR) <1, 2014, Glasgow>
International Conference on Multimedia Retrieval (ICMR) <2014, Glasgow>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
linked open data; semantics; Sensor Observation Service (SOS); Web Publishing; software architecture

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.

: http://publica.fraunhofer.de/dokumente/N-315144.html