Browsing reversible neighborhood relations in linked data on mobile devices

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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 languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems (PECCS 2012)
EditorsC. Benavente-Peces, F. Ali, J. Filipe
Pages150-155
Number of pages6
Publication statusPublished - 2012
Peer-reviewedYes

Publication series

SeriesPECCS 2012 - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems

Conference

Title2nd International Conference on Pervasive Embedded Computing and Communication Systems, PECCS 2012
Duration24 - 26 February 2012
CityRome
CountryItaly

External IDs

Scopus 84862152493
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