Semantic Mashups 2013
DOI: 10.1007/978-3-642-36403-7_11
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Travel Mashups

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Cited by 7 publications
(4 citation statements)
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“…The resulting (integrated) platforms support users in and across different facets of life, including discovery and exploration and travel and tourism. Linked Data mashup enables the creation and use of travel mashups, defined based on the varied travel information needs of different end users, spanning temporal, social, and spatial dimensions [18]. The RDF-based travel mashups are created for bridging these dimensions, through the definition and use of composite, web-, and mobile-based services.…”
Section: Mashups For Internet Of Thingsmentioning
confidence: 99%
“…The resulting (integrated) platforms support users in and across different facets of life, including discovery and exploration and travel and tourism. Linked Data mashup enables the creation and use of travel mashups, defined based on the varied travel information needs of different end users, spanning temporal, social, and spatial dimensions [18]. The RDF-based travel mashups are created for bridging these dimensions, through the definition and use of composite, web-, and mobile-based services.…”
Section: Mashups For Internet Of Thingsmentioning
confidence: 99%
“…Tweets often include explicit, or automatically derived, geo-location information: another dimension along which to categorize them. The results of such analysis are typically displayed using cartographic or other location-based visualisation, topic distribution (Cano et al, 2013) or evolution (de Domenico et al, 2013). Analysis of the evolution of topic and sentiment in dynamic datasets requires techniques able to handle multiattribute data; examples include flow visualizations such as streamlines or themerivers, that harness the metaphor of a flowing river (e.g., Cui et al, 2011;Dou et al, 2013;Xu et al, 2013).…”
Section: Literature Reviewmentioning
confidence: 99%
“…A travel mashup is an automated solution for this scenario, where travel relevant data is retrieved and aggregated from services considering users' travel information needs, which may be weighted further by their personal preferences, as well as user's context then presented as directly usable information. 4 However, mashup tools require a programming background, so they are not suitable for end-users. 5 The inherent complexity of service composition must be adequately abstracted to give end-users easy-to-use development environments that hide all the underlying technical details.…”
Section: Introductionmentioning
confidence: 99%
“…The user still needs to guess how much time is needed to visit each single attraction, and to devise a smart strategy to schedule them in order to build a personalized itinerary. A travel mashup is an automated solution for this scenario, where travel relevant data is retrieved and aggregated from services considering users' travel information needs, which may be weighted further by their personal preferences, as well as user's context then presented as directly usable information 4 . However, mashup tools require a programming background, so they are not suitable for end‐users 5 .…”
Section: Introductionmentioning
confidence: 99%