Enabling keyword search on Linked Data repositories: An ontology-based approach
نویسندگان
چکیده
منابع مشابه
Enabling keyword search on Linked Data repositories: An ontology-based approach
The Web is experiencing a continuous change that is leading to the realization of the Semantic Web. Initiatives such as Linked Data have made a huge amount of structured information publicly available, encouraging the rest of the Internet community to tag their resources with it. Unfortunately, the amount of interlinked domains and information is so big that handling it efficiently has become r...
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Nowadays, the Web is experiencing a continuous change that is leading to the realization of the Semantic Web. Initiatives such as Linked Data have made a huge amount of structured information publicly available, encouraging the rest of the Internet community to tag their resources with it. Unfortunately, the amount of interlinked domains and information is so big that handling it efficiently ha...
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Abstract—Keyword Search is known as a user-friendly alternative for structured languages to retrieve information from graph-structured data. Efficient retrieving of relevant answers to a keyword query and effective ranking of these answers according to their relevance are two main challenges in the keyword search over graph-structured data. In this paper, a novel scoring function is proposed, w...
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Keyword search approaches over RDF graphs have proven intuitive for users. However, these approaches rely on local copies of RDF graphs. In this paper, we present an algorithm that uses RDF keyword search methodologies to find information in the live Linked Data web rather than against local indexes. Users navigate between documents by specifying keywords that are matched against triples. Navig...
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Access to Earth Observation (EO) products remains difficult for end-users. To address this, we developed the Prod-Trees platform[2], a semantically enabled search engine for EO products. Users guide their search through a number of ontologies related to EO domain. To facilitate users in finding terms that fit better to their needs, we created mappings between these ontologies. In this paper, we...
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ژورنال
عنوان ژورنال: International Journal of Knowledge-based and Intelligent Engineering Systems
سال: 2013
ISSN: 1875-8827,1327-2314
DOI: 10.3233/kes-130255