Data engineering in graph databases

Koon Kau CHOI; Haibo HU; Jianliang XU; Kwok Wai CHEUNG; Chun Hung Li; Jiming LIU

doi:10.1007/978-90-481-9794-1_26

Data engineering in graph databases

Koon Kau CHOI^*, Haibo HU, Jianliang XU, Kwok Wai CHEUNG, Chun Hung Li, Jiming LIU

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

Graph-structured databases have a wide range of emerging applications, e.g., the Semantic Web, eXtensible Markup Language (XML), biological databases and network topologies. To-date, there has already been voluminous real-world (possibly cyclic and schemaless) graph-structured data. Therefore, data engineering in graph-structured databases has recently received a lot of attention, where there are limitations as well as scope for significant developments. In these databases, there exist many different indexes and different query languages, e.g., XQuery, regular expressions, Web Ontology Langauge and subgraph isomorphism, while there are few graphical user interfaces for effectively querying subgraphs. In this paper, we examine and evaluate the current state of-the-art in graph-structured databases with respect to (i) query languages, (ii) dynamic aspects, (iii) data mining, (iv) graphical user interfaces, and (v) modern computer architecture on graph-structured data. In addition, the incremental maintenance of graph indexes/views will be addressed.

Original language	English
Title of host publication	Computer and Information Sciences - Proceedings of the 25th International Symposium on Computer and Information Sciences
Pages	127-132
Number of pages	6
DOIs	https://doi.org/10.1007/978-90-481-9794-1_26
Publication status	Published - 2010
Event	25th International Symposium on Computer and Information Sciences, ISCIS 2010 - London, United Kingdom Duration: 22 Sept 2010 → 24 Sept 2010

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	62 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	25th International Symposium on Computer and Information Sciences, ISCIS 2010
Country/Territory	United Kingdom
City	London
Period	22/09/10 → 24/09/10

Scopus Subject Areas

Industrial and Manufacturing Engineering

User-Defined Keywords

assessment
computer architecture
data engineering
data mining
Graph databases
GUI
query formalisms
survey
updates

Access to Document

10.1007/978-90-481-9794-1_26

Cite this

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title = "Data engineering in graph databases",

abstract = "Graph-structured databases have a wide range of emerging applications, e.g., the Semantic Web, eXtensible Markup Language (XML), biological databases and network topologies. To-date, there has already been voluminous real-world (possibly cyclic and schemaless) graph-structured data. Therefore, data engineering in graph-structured databases has recently received a lot of attention, where there are limitations as well as scope for significant developments. In these databases, there exist many different indexes and different query languages, e.g., XQuery, regular expressions, Web Ontology Langauge and subgraph isomorphism, while there are few graphical user interfaces for effectively querying subgraphs. In this paper, we examine and evaluate the current state of-the-art in graph-structured databases with respect to (i) query languages, (ii) dynamic aspects, (iii) data mining, (iv) graphical user interfaces, and (v) modern computer architecture on graph-structured data. In addition, the incremental maintenance of graph indexes/views will be addressed.",

keywords = "assessment, computer architecture, data engineering, data mining, Graph databases, GUI, query formalisms, survey, updates",

author = "CHOI, {Koon Kau} and Haibo HU and Jianliang XU and CHEUNG, {Kwok Wai} and Li, {Chun Hung} and Jiming LIU",

year = "2010",

doi = "10.1007/978-90-481-9794-1_26",

language = "English",

isbn = "9789048197934",

series = "Lecture Notes in Electrical Engineering",

pages = "127--132",

booktitle = "Computer and Information Sciences - Proceedings of the 25th International Symposium on Computer and Information Sciences",

}

CHOI, KK, HU, H, XU, J , CHEUNG, KW, Li, CH & LIU, J 2010, Data engineering in graph databases. in Computer and Information Sciences - Proceedings of the 25th International Symposium on Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol. 62 LNEE, pp. 127-132, 25th International Symposium on Computer and Information Sciences, ISCIS 2010, London, United Kingdom, 22/09/10. https://doi.org/10.1007/978-90-481-9794-1_26

Data engineering in graph databases. / CHOI, Koon Kau; HU, Haibo; XU, Jianliang et al.
Computer and Information Sciences - Proceedings of the 25th International Symposium on Computer and Information Sciences. 2010. p. 127-132 (Lecture Notes in Electrical Engineering; Vol. 62 LNEE).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - HU, Haibo

AU - XU, Jianliang

AU - CHEUNG, Kwok Wai

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AU - LIU, Jiming

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AB - Graph-structured databases have a wide range of emerging applications, e.g., the Semantic Web, eXtensible Markup Language (XML), biological databases and network topologies. To-date, there has already been voluminous real-world (possibly cyclic and schemaless) graph-structured data. Therefore, data engineering in graph-structured databases has recently received a lot of attention, where there are limitations as well as scope for significant developments. In these databases, there exist many different indexes and different query languages, e.g., XQuery, regular expressions, Web Ontology Langauge and subgraph isomorphism, while there are few graphical user interfaces for effectively querying subgraphs. In this paper, we examine and evaluate the current state of-the-art in graph-structured databases with respect to (i) query languages, (ii) dynamic aspects, (iii) data mining, (iv) graphical user interfaces, and (v) modern computer architecture on graph-structured data. In addition, the incremental maintenance of graph indexes/views will be addressed.

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KW - data engineering

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KW - Graph databases

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ER -

Data engineering in graph databases

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