Browsing reversible neighborhood relations in linked data on mobile devices
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Within the manufacturing and process industries pervasive computing is still less prominent than in other areas. This is mainly due to the lack of mobile solutions that are adapted to the special requirements for industrial tasks. This paper presents a novel mobile application for navigation in Linked Data. It follows the principle of limited purpose applications: support a single task and be good at it. First, we introduce a data model for representing reversible neighborhood relations in Linked Data. Second, we provide a human computer-interface for mobile devices that hides the complexity of the Linked Data Cloud. It allows browsing of reversible neighborhood relations such as industrial Piping & Instrumentation Diagrams and can be generalized to support arbitrary predecessor-successor networks. Third, we discuss our concept in respect to a real life example of a maintenance task in a large industrial plant.
Details
Original language | English |
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Title of host publication | Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems (PECCS 2012) |
Editors | C. Benavente-Peces, F. Ali, J. Filipe |
Pages | 150-155 |
Number of pages | 6 |
Publication status | Published - 2012 |
Peer-reviewed | Yes |
Publication series
Series | PECCS 2012 - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems |
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Conference
Title | 2nd International Conference on Pervasive Embedded Computing and Communication Systems, PECCS 2012 |
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Duration | 24 - 26 February 2012 |
City | Rome |
Country | Italy |
External IDs
Scopus | 84862152493 |
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ORCID | /0000-0001-5165-4459/work/173516878 |
Keywords
ASJC Scopus subject areas
Keywords
- Human-computer interaction, Humancomputer interfaces, Linked data, Mobile computing, Mobile interaction, Semantic web