Consistent RDF updates with correct dense deltas

Sana Al Azwari, John N. Wilson

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

RDF is widely used in the Semantic Web for representing ontology data. Many real world RDF collections are large and contain complex graph relationships that represent knowledge in a particular domain. Such large RDF collections evolve in consequence of their representation of the changing world. Although this data may be distributed over the Internet, it needs to be managed and updated in the face of such evolutionary changes. In view of the size of typical collections, it is important to derive efficient ways of propagating updates to distributed data stores. The contribution of this paper is a detailed analysis of the performance of RDF change detection techniques. In addition the work describes a new approach to maintaining the consistency of RDF by using knowledge embedded in the structure to generate efficient update transactions. The evaluation of this approach indicates that it reduces the overall update size at the cost of increasing the processing time needed to generate the transactions.
LanguageEnglish
Title of host publicationData Science
Subtitle of host publication30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings
EditorsSebastian Maneth
Place of PublicationCham
PublisherSpringer
Pages74-86
Number of pages12
Volume9147
ISBN (Print)9783319204239
DOIs
StatePublished - 6 Jul 2015
Event30th British International Conference on Databases (BICOD 2015) - University of Edinburgh, Edinburgh, United Kingdom
Duration: 6 Jul 20158 Jul 2015

Publication series

Name Lecture Notes in Computer Science
PublisherSpringer
Volume9147
ISSN (Print)0302-9743

Conference

Conference30th British International Conference on Databases (BICOD 2015)
CountryUnited Kingdom
CityEdinburgh
Period6/07/158/07/15

Fingerprint

Semantic Web
Ontology
Internet
Processing

Keywords

  • resource description framework (RDF)
  • updates
  • pruning
  • inferencing
  • ontology data

Cite this

Al Azwari, S., & Wilson, J. N. (2015). Consistent RDF updates with correct dense deltas. In S. Maneth (Ed.), Data Science: 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings (Vol. 9147, pp. 74-86). ( Lecture Notes in Computer Science; Vol. 9147). Cham: Springer. DOI: 10.1007/978-3-319-20424-6_8
Al Azwari, Sana ; Wilson, John N./ Consistent RDF updates with correct dense deltas. Data Science: 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings. editor / Sebastian Maneth . Vol. 9147 Cham : Springer, 2015. pp. 74-86 ( Lecture Notes in Computer Science).
@inbook{46fda0cb686d40bcb1565077db4c37dd,
title = "Consistent RDF updates with correct dense deltas",
abstract = "RDF is widely used in the Semantic Web for representing ontology data. Many real world RDF collections are large and contain complex graph relationships that represent knowledge in a particular domain. Such large RDF collections evolve in consequence of their representation of the changing world. Although this data may be distributed over the Internet, it needs to be managed and updated in the face of such evolutionary changes. In view of the size of typical collections, it is important to derive efficient ways of propagating updates to distributed data stores. The contribution of this paper is a detailed analysis of the performance of RDF change detection techniques. In addition the work describes a new approach to maintaining the consistency of RDF by using knowledge embedded in the structure to generate efficient update transactions. The evaluation of this approach indicates that it reduces the overall update size at the cost of increasing the processing time needed to generate the transactions.",
keywords = "resource description framework (RDF) , updates, pruning, inferencing, ontology data",
author = "{Al Azwari}, Sana and Wilson, {John N.}",
year = "2015",
month = "7",
day = "6",
doi = "10.1007/978-3-319-20424-6_8",
language = "English",
isbn = "9783319204239",
volume = "9147",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "74--86",
editor = "{Maneth }, Sebastian",
booktitle = "Data Science",

}

Al Azwari, S & Wilson, JN 2015, Consistent RDF updates with correct dense deltas. in S Maneth (ed.), Data Science: 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings. vol. 9147, Lecture Notes in Computer Science, vol. 9147, Springer, Cham, pp. 74-86, 30th British International Conference on Databases (BICOD 2015), Edinburgh, United Kingdom, 6/07/15. DOI: 10.1007/978-3-319-20424-6_8

Consistent RDF updates with correct dense deltas. / Al Azwari, Sana ; Wilson, John N.

Data Science: 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings. ed. / Sebastian Maneth . Vol. 9147 Cham : Springer, 2015. p. 74-86 ( Lecture Notes in Computer Science; Vol. 9147).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

TY - CHAP

T1 - Consistent RDF updates with correct dense deltas

AU - Al Azwari,Sana

AU - Wilson,John N.

PY - 2015/7/6

Y1 - 2015/7/6

N2 - RDF is widely used in the Semantic Web for representing ontology data. Many real world RDF collections are large and contain complex graph relationships that represent knowledge in a particular domain. Such large RDF collections evolve in consequence of their representation of the changing world. Although this data may be distributed over the Internet, it needs to be managed and updated in the face of such evolutionary changes. In view of the size of typical collections, it is important to derive efficient ways of propagating updates to distributed data stores. The contribution of this paper is a detailed analysis of the performance of RDF change detection techniques. In addition the work describes a new approach to maintaining the consistency of RDF by using knowledge embedded in the structure to generate efficient update transactions. The evaluation of this approach indicates that it reduces the overall update size at the cost of increasing the processing time needed to generate the transactions.

AB - RDF is widely used in the Semantic Web for representing ontology data. Many real world RDF collections are large and contain complex graph relationships that represent knowledge in a particular domain. Such large RDF collections evolve in consequence of their representation of the changing world. Although this data may be distributed over the Internet, it needs to be managed and updated in the face of such evolutionary changes. In view of the size of typical collections, it is important to derive efficient ways of propagating updates to distributed data stores. The contribution of this paper is a detailed analysis of the performance of RDF change detection techniques. In addition the work describes a new approach to maintaining the consistency of RDF by using knowledge embedded in the structure to generate efficient update transactions. The evaluation of this approach indicates that it reduces the overall update size at the cost of increasing the processing time needed to generate the transactions.

KW - resource description framework (RDF)

KW - updates

KW - pruning

KW - inferencing

KW - ontology data

UR - http://conferences.inf.ed.ac.uk/BICOD2015/program.html

U2 - 10.1007/978-3-319-20424-6_8

DO - 10.1007/978-3-319-20424-6_8

M3 - Chapter (peer-reviewed)

SN - 9783319204239

VL - 9147

T3 - Lecture Notes in Computer Science

SP - 74

EP - 86

BT - Data Science

PB - Springer

CY - Cham

ER -

Al Azwari S, Wilson JN. Consistent RDF updates with correct dense deltas. In Maneth S, editor, Data Science: 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings. Vol. 9147. Cham: Springer. 2015. p. 74-86. ( Lecture Notes in Computer Science). Available from, DOI: 10.1007/978-3-319-20424-6_8