article

Semantic Extension of Query for the Linked Data

Authors:

Yuncheng Jiang,

Zhilei YinAuthors Info & Claims

International Journal on Semantic Web & Information Systems, Volume 13, Issue 4

Pages 109 - 133

https://doi.org/10.4018/IJSWIS.2017100106

Published: 01 October 2017 Publication History

Abstract

With the advent of Big Data Era, users prefer to get knowledge rather than pages from Web. Linked Data, a new form of knowledge representation and publishing described by RDF, can provide a more precise and comprehensible semantic structure to satisfy the aforementioned requirement. Further, the SPARQL query language for RDF is the foundation of many current researches about Linked Data querying. However, these SPARQL-based methods cannot fully express the semantics of the query, so they cannot unleash the potential of Linked Data. To fill this gap, this paper designs a new querying method which extends the SPARQL pattern. Firstly, the authors present some new semantic properties for predicates in RDF triples and design a Semantic Matrix for Predicates SMP. They then establish a well-defined framework for the notion of Semantically-Extended Query Model for the Linked Data SEQMLD. Moreover, the authors propose some novel algorithms for executing queries by integrating semantic extension into SPARQL pattern. Lastly, experimental results show that the authors' proposal has a good generality and performs better than some of the most representative similarity search methods.

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Cited By

Li PZhang SZhou GYin ZChen R(2023)A Semantically Enhanced Knowledge Discovery Method for Knowledge Graph Based on Adjacency Fuzzy Predicates ReasoningInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.32392119:1(1-24)Online publication date: 1-Jun-2023
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https://dl.acm.org/doi/10.4018/IJSWIS.2018070109
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cover image International Journal on Semantic Web & Information Systems

International Journal on Semantic Web & Information Systems Volume 13, Issue 4

October 2017

220 pages

ISSN:1552-6283

EISSN:1552-6291

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IGI Global

United States

Publication History

Published: 01 October 2017

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Cited By

Li PZhang SZhou GYin ZChen R(2023)A Semantically Enhanced Knowledge Discovery Method for Knowledge Graph Based on Adjacency Fuzzy Predicates ReasoningInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.32392119:1(1-24)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.4018/IJSWIS.323921
Li PLi TWang XZhang SJiang YTang Y(2022)Scholar Recommendation Based on High-Order Propagation of Knowledge GraphsInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.29714618:1(1-19)Online publication date: 15-Apr-2022
https://dl.acm.org/doi/10.4018/IJSWIS.297146
Al-Barakati ADaud A(2018)Venue-Influence Language Models for Expert Finding in Bibliometric NetworksInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201807010914:3(184-201)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJSWIS.2018070109
Jiang YYang M(2018)Semantic Search Exploiting Formal Concept Analysis, Rough Sets, and WikipediaInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201807010514:3(99-119)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJSWIS.2018070105

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