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A Novel Approach for Accessing Semantic Data by Translating RESTful/JSON Commands into SPARQL Messages
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 Title & Authors
A Novel Approach for Accessing Semantic Data by Translating RESTful/JSON Commands into SPARQL Messages
Nguyen, Khiem Minh; Nguyen, Hai Thanh; Huynh, Hiep Xuan;
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 Abstract
Linked Data is a powerful technology for storing and publishing the structures of data. It is helpful for web applications because of its usefulness through semantic query data. However, using Linked Data is not easy for ordinary users who lack knowledge about the structure of data or the query syntax of Linked Data. For that problem, we propose a translator component that is used for translating RESTful/JSON request messages into SPARQL commands based on ontology - a metadata that describes the structure of data. Clients do not need to worry about the structure of stored data or SPARQL, a kind of query language used for querying linked data that not many people know, when they insert a new instance or query for all instances of any specific class with those complex structure data. In addition, the translator component has the search function that can find a set of data from multiple classes based on finding the shortest paths between the target classes - the original set that user provide, and target classes- the users want to get. This translator component will be applied for any dynamic ontological structure as well as automatically generate a SPARQL command based on users` request message.
 Keywords
Translator component;API;RESTful/JSON to SPARQL;Linked data search;
 Language
English
 Cited by
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