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Authors: Stijn Verstichel ; Wannes Kerckhove ; Thomas Dupont ; Bruno Volckaert ; Femke Ongenae ; Filip De Turck and Piet Demeester

Affiliation: Ghent University – iMinds, Belgium

ISBN: 978-989-758-158-8

Keyword(s): LimeDS, TraPIST, REST/JSON, OSGi, Semantics, Reasoning, Transportation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Real-Time Travel Information (RTTI) for rail commuters is still used inefficiently today and is rarely combined with other knowledge to come to a truly personalised and situation-aware multimodal travelling assistance. It is up to the travellers themselves to look for important info about their trip through static schedules or dedicated non-personalised applications. In a highly dynamic context such as that of public transportation, it would make life easier if one was able to consult the right information at the right time (removing superfluous information), for a variety of multimodal public transportation options, taking into account the context of the person travelling. In this paper we present the LimeDS framework, allowing application developers to rapidly define data workflows from a variety of data sources, deploy these workflows in a scalable and resilient manner and expose results to client applications as REST endpoints. A Proof-of-Concept (PoC) shows how our propo sed framework can be used to tie together different open transportation data sources in order to create highly dynamic multimodal travel assistance applications by semantically enriching the data into knowledge, checking for ontological consistency and reason over the resulting knowledge. (More)

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Paper citation in several formats:
Verstichel, S.; Kerckhove, W.; Dupont, T.; Volckaert, B.; Ongenae, F.; De Turck, F. and Demeester, P. (2015). LimeDS and the TraPIST Project: A Case Study - An OSGi-based Ontology-enabled Framework Targeted at Developers in Need of an Agile Solution for Building REST/JSON-based Server Applications.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: SSEO, (IC3K 2015) ISBN 978-989-758-158-8, pages 501-508. DOI: 10.5220/0005614305010508

@conference{sseo15,
author={Stijn Verstichel. and Wannes Kerckhove. and Thomas Dupont. and Bruno Volckaert. and Femke Ongenae. and Filip De Turck. and Piet Demeester.},
title={LimeDS and the TraPIST Project: A Case Study - An OSGi-based Ontology-enabled Framework Targeted at Developers in Need of an Agile Solution for Building REST/JSON-based Server Applications},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: SSEO, (IC3K 2015)},
year={2015},
pages={501-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005614305010508},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: SSEO, (IC3K 2015)
TI - LimeDS and the TraPIST Project: A Case Study - An OSGi-based Ontology-enabled Framework Targeted at Developers in Need of an Agile Solution for Building REST/JSON-based Server Applications
SN - 978-989-758-158-8
AU - Verstichel, S.
AU - Kerckhove, W.
AU - Dupont, T.
AU - Volckaert, B.
AU - Ongenae, F.
AU - De Turck, F.
AU - Demeester, P.
PY - 2015
SP - 501
EP - 508
DO - 10.5220/0005614305010508

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