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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mijovie, V. Janev, V. Vrane, S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Mihajlo Pupin Inst., Univ. of Belgrade, Belgrade, Serbia (Mijovie, V.; Janev, V.; Vrane, S.) |
| Abstract | In crisis situation, there is always a collaborative effort to collect, fuse and analyze large volumes of diversified data and convert it to information that can be used for efficient emergency assessment and management. This paper discusses one way of tackling this problem using the emerging linked data concept, pointing out major challenges and discussing the applicability of existing components of LOD2 stack for different emergency management services implementation. |
| Starting Page | 21 |
| Ending Page | 25 |
| File Size | 344692 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769550701 |
| ISSN | 15294188 |
| e-ISBN | 9781479921386 |
| DOI | 10.1109/DEXA.2013.8 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Collaboration Data models Data visualization Fires Semantics Semantic Web Data mining airport scenarios Linked Data LOD2 stack emergency management infrastructures |
| Content Type | Text |
| Resource Type | Article |
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