Resource Description Framework Query Languages : Comparative Study
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Abstract
Over the period of time, the data on the web grows by leaps and bounds that becomes unmanageable to store and retrieve. As a result, the concept of semantic web comes into existence. Nowadays, various components of semantic web stack become mature such as Resource Description Framework (RDF). Due to the higher adoption rate of RDF in both industry and academia, it becomes crucial to design such systems that can store and retrieve RDF formatted data. Since last decade, various query languages for RDF data retrieval were proposed mainly based on either graph query language or on relational algebra. However, none of them become mature enough that can overcome majority of challenges. Therefore, there is an utmost need for the comparative study of available languages in literature. In this paper, a comparative study based on various parameters was conducted that provides a better insight about the literature.
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References
[1] Wood, Peter T., (2012). Query languages for graph databases. (ACM) Sigmod Record, 41(1):50–60.
[2] Renzo Angles, Claudio Gutierrez, (2015). RDF Query Languages Need Support for Graph Properties. Whitepaper.
[3] Xin Hu, Depeng Dang, Yingting Yao, Luting Ye, (2018). Natural Language Aggregate Query over RDF Data. Information Sciences, DOI: 10.1016/j.ins.2018.04.042.
[4] Prud,Hommeaux, Eric, and Andy Seaborne(2008). "SPARQL query language for RDF." W3C recommendation 15.
[5] Pérez, J., Arenas, M., & Gutierrez, C. (2008). nSPARQL: A navigational language for RDF. Springer Berlin Heidelberg: pp. 66-81.
[6] Ngonga Ngomo, Axel-Cyrille, et al (2013). Sorry, i don't speak SPARQL: translating SPARQL queries into natural language. Proceedings of the 22nd international conference on World Wide Web. International World Wide Web Conferences Steering Committee: 977-988.
[7] Scheglmann, Stefan, Martin Leinbereger, and Steffen Staab, (2015)."LITEQ: Language Integrated Types, Extensions and Queries for RDF Graphs. ACM 978-1-4503-1871-6/13/01.
[8] Alkhateeb, Faisal, and Jerome Euzenat. (2014) Constrained regular expressions for answering RDF-path queries modulo RDFS. International journal of web information systems: 24-50.
[9] Libkin, Leonid, Juan Reutter, and Domagoj Vrgoč (2013). Trial for RDF: adapting graph query languages for RDF data. Proceedings of the 32nd symposium on Principles of database systems. ACM.