Linked data-driven decision support for accessible travelling

Abstract

With the aim of addressing the gap between users' needs of accessible travelling and complex environmental barriers of physical places in the real world, this paper summarizes the research of investigating the use of Linked Data principles for enhanced accessible travelling decision support. Firstly, this paper reviews current research and projects to identify some problems and challenges. Then a conceptual model and the reference architecture of Linked Data-driven decision support system (DSS) for accessible travelling are proposed to address such problems to enhance the accessible travelling for people with disabilities (PwD), especially for people with mobility difficulties. As a result, this research would not only benefit PwD, but also contribute to the research of a novel model to address accessibility information barriers by applying the Linked Data principles to DSSs for enhanced accessible travelling.

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“…C.Ding etal. [24] propose a travelling decision support system for person with deficiency using Linked data principles [24]. The proposed system consisted two phase namely (i) Data Integration model and (ii) Decision support Model [24].…”

“…[24] propose a travelling decision support system for person with deficiency using Linked data principles [24]. The proposed system consisted two phase namely (i) Data Integration model and (ii) Decision support Model [24]. The first phase termed as Data Integration model [24] focussed on extraction of heterogeneous data ( raw, open and linked data) and inter-link the extracted data and publish them using Linked data principle [24].…”

“…The proposed system consisted two phase namely (i) Data Integration model and (ii) Decision support Model [24]. The first phase termed as Data Integration model [24] focussed on extraction of heterogeneous data ( raw, open and linked data) and inter-link the extracted data and publish them using Linked data principle [24]. The second phase used the Linked data generated from the Data Integration Model [24] for finding optimized travel decision support for users based on physical capabilities of the user [24].…”

“…The first phase termed as Data Integration model [24] focussed on extraction of heterogeneous data ( raw, open and linked data) and inter-link the extracted data and publish them using Linked data principle [24]. The second phase used the Linked data generated from the Data Integration Model [24] for finding optimized travel decision support for users based on physical capabilities of the user [24]. The author has exposed the second phase for researchers for exploring the best algorithm for finding best travel decision applying principles of Linked Data nad based on user's capabilities [24].…”

“…The second phase used the Linked data generated from the Data Integration Model [24] for finding optimized travel decision support for users based on physical capabilities of the user [24]. The author has exposed the second phase for researchers for exploring the best algorithm for finding best travel decision applying principles of Linked Data nad based on user's capabilities [24].…”