Authors:
Stijn Verstichel
;
Wannes Kerckhove
;
Thomas Dupont
;
Bruno Volckaert
;
Femke Ongenae
;
Filip De Turck
and
Piet Demeester
Affiliation:
Ghent University – iMinds, Belgium
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 prop
osed 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)