Ontology-based content trust support of expert information resources in quantitative spectroscopy

Alexander Fazliev; Alexey Privezentsev; Dmitry Tsarkov; Jonathan Tennyson

Ontology-based content trust support of expert information resources in quantitative spectroscopy

Alexander Fazliev, Alexey Privezentsev, Dmitry Tsarkov, Jonathan Tennyson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An approach to assessing the content trust of information resources based on a publishing criterion has been developed and applied to several tens of spectroscopic expert datasets. The results represented as an OWL-ontology are shown to be accessible to programmable agents. The assessments enable the amount of measured and calculated trusted and distrusted data for spectroscopic quantities and ranges of their change in expert datasets to be determined. Building knowledge bases of this kind at virtual data centers intended for data intensive science will provide realization of an automatic selection of spectroscopic information resources exhibiting a high degree of trust. © Springer-Verlag Berlin Heidelberg 2013.

Original language	English
Title of host publication	Communications in Computer and Information Science\|Commun. Comput. Info. Sci.
Pages	15-28
Number of pages	13
Volume	394
Publication status	Published - 2013
Event	4th International Conference on Knowledge Engineering and Semantic Web, KESW 2013 - St. Petersburg Duration: 1 Jul 2013 → …

Conference

Conference	4th International Conference on Knowledge Engineering and Semantic Web, KESW 2013
City	St. Petersburg
Period	1/07/13 → …

Keywords

OWL Ontology
Quantitative Spectroscopy
Trust

Cite this

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title = "Ontology-based content trust support of expert information resources in quantitative spectroscopy",

abstract = "An approach to assessing the content trust of information resources based on a publishing criterion has been developed and applied to several tens of spectroscopic expert datasets. The results represented as an OWL-ontology are shown to be accessible to programmable agents. The assessments enable the amount of measured and calculated trusted and distrusted data for spectroscopic quantities and ranges of their change in expert datasets to be determined. Building knowledge bases of this kind at virtual data centers intended for data intensive science will provide realization of an automatic selection of spectroscopic information resources exhibiting a high degree of trust. {\textcopyright} Springer-Verlag Berlin Heidelberg 2013.",

keywords = "OWL Ontology, Quantitative Spectroscopy, Trust",

author = "Alexander Fazliev and Alexey Privezentsev and Dmitry Tsarkov and Jonathan Tennyson",

year = "2013",

language = "English",

isbn = "9783642413599",

volume = "394",

pages = "15--28",

booktitle = "Communications in Computer and Information Science|Commun. Comput. Info. Sci.",

note = "4th International Conference on Knowledge Engineering and Semantic Web, KESW 2013 ; Conference date: 01-07-2013",

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Ontology-based content trust support of expert information resources in quantitative spectroscopy. / Fazliev, Alexander; Privezentsev, Alexey; Tsarkov, Dmitry et al.
Communications in Computer and Information Science|Commun. Comput. Info. Sci.. Vol. 394 2013. p. 15-28.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ontology-based content trust support of expert information resources in quantitative spectroscopy

AU - Fazliev, Alexander

AU - Privezentsev, Alexey

AU - Tsarkov, Dmitry

AU - Tennyson, Jonathan

PY - 2013

Y1 - 2013

N2 - An approach to assessing the content trust of information resources based on a publishing criterion has been developed and applied to several tens of spectroscopic expert datasets. The results represented as an OWL-ontology are shown to be accessible to programmable agents. The assessments enable the amount of measured and calculated trusted and distrusted data for spectroscopic quantities and ranges of their change in expert datasets to be determined. Building knowledge bases of this kind at virtual data centers intended for data intensive science will provide realization of an automatic selection of spectroscopic information resources exhibiting a high degree of trust. © Springer-Verlag Berlin Heidelberg 2013.

AB - An approach to assessing the content trust of information resources based on a publishing criterion has been developed and applied to several tens of spectroscopic expert datasets. The results represented as an OWL-ontology are shown to be accessible to programmable agents. The assessments enable the amount of measured and calculated trusted and distrusted data for spectroscopic quantities and ranges of their change in expert datasets to be determined. Building knowledge bases of this kind at virtual data centers intended for data intensive science will provide realization of an automatic selection of spectroscopic information resources exhibiting a high degree of trust. © Springer-Verlag Berlin Heidelberg 2013.

KW - OWL Ontology

KW - Quantitative Spectroscopy

KW - Trust

M3 - Conference contribution

SN - 9783642413599

VL - 394

SP - 15

EP - 28

BT - Communications in Computer and Information Science|Commun. Comput. Info. Sci.

T2 - 4th International Conference on Knowledge Engineering and Semantic Web, KESW 2013

Y2 - 1 July 2013

ER -

Ontology-based content trust support of expert information resources in quantitative spectroscopy

Abstract

Conference

Keywords

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