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- 75 creator chun-lu.
- 75 creator milan-stankovic.
- 75 creator philippe-laublet.
- 75 type InProceedings.
- 75 label "Desperately searching for travel offers? Formulate better queries with some help from Linked Data.".
- 75 sameAs 75.
- 75 abstract "Various studies have reported on inefficiencies of existing travel search engines, and user frustration generated through hours of searching and browsing, often with no satisfactory results. Not only do the users fail to find the right offer in the myriad of websites, but they end up browsing through many offers that do not correspond to their criteria. The Semantic Web framework is a reasonable candidate to improve this. In this paper, we present a semantic travel offer search system named “RE-ONE”. We especially highlight its ability to help users formulate better search queries. An example of a permitted query is in Croatia at the seaside where there is Vegetarian Restaurant. To our best knowledge, our system is the first search system that leverages the semantic graph to construct indexes and to support the cognitive process of travel search. We conducted two experiments to evaluate the Query Auto-completion mechanism. The results showed that our system outperforms the Google Custom Search baseline. Queries freely conducted in RE-ONE are shown to be 63.4% longer and 27% richer in terms of number of search criteria. RE-ONE supports better users’ cognitive process by giving suggestions in greater accordance with users’ idea flow.".
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- 75 keyword "Linked Data".
- 75 keyword "Query Auto-completion".
- 75 keyword "semantic search".
- 75 keyword "travel search".
- 75 title "Desperately searching for travel offers? Formulate better queries with some help from Linked Data.".
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- 91 creator francesca-bria.
- 91 creator harry-halpin.
- 91 type InProceedings.
- 91 label "Crowdmapping Digital Social Innovation with Linked data".
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- 91 abstract "The European Commision recently became interested in mapping digital social innovation in Europe. In order to understand this rapidly developing if little known area, a visual and interactive survey was made in order to crowd-source a map of digital social innovation, available at http://digitalsocial.eu. Over 900 organizations participated, and Linked Data was used as the backend with a Ruby on Rails Framework. The data was processed using SPARQL and network analysis, and a number of concrete policy recommendations resulted from the analysis. ".
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- 91 keyword "digital social innovation".
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- 91 title "Crowdmapping Digital Social Innovation with Linked data".
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