Computed knowledge base for description of information resources of water spectroscopy

Alexander Fazliev; Alexey Privezentsev; Dmitry Tsarkov; Jonathan Tennyson

Computed knowledge base for description of information resources of water spectroscopy

Alexander Fazliev, Alexey Privezentsev, Dmitry Tsarkov, Jonathan Tennyson

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

Abstract

We develop the addition to the W@DIS information system that allows one to load solutions of the quantitative spectroscopy problems. These solutions are supplied with calculated semantic annotations that characterise properties of the solutions. In addition to the typical properties (e.g. represented in Dublin Core) the solution reliability properties are also determined. Every solution is represented in a knowledge base as an individual of the quantitative spectroscopy ontology, which contains more that 106 axioms. In the paper we present the knowledge base structure and describe two classes of the information sources classification tasks, together with the solutions using querying OWL ontologies.

Original language	English
Title of host publication	CEUR Workshop Proceedings\|CEUR Workshop Proc.
Volume	614
Publication status	Published - 2010
Event	7th International Workshop on OWL: Experiences and Directions, OWLED 2010 - San Francisco, CA Duration: 1 Jul 2010 → … http://www.webont.org/owled/2010/papers/owled2010_submission_7.pdf

Conference

Conference	7th International Workshop on OWL: Experiences and Directions, OWLED 2010
City	San Francisco, CA
Period	1/07/10 → …
Internet address	http://www.webont.org/owled/2010/papers/owled2010_submission_7.pdf

Keywords

Annotation model
Classification problems
Water spectroscopy knowledge base

Cite this

@inproceedings{7f944e40a71340fa99975c2d8444d125,

title = "Computed knowledge base for description of information resources of water spectroscopy",

abstract = "We develop the addition to the W@DIS information system that allows one to load solutions of the quantitative spectroscopy problems. These solutions are supplied with calculated semantic annotations that characterise properties of the solutions. In addition to the typical properties (e.g. represented in Dublin Core) the solution reliability properties are also determined. Every solution is represented in a knowledge base as an individual of the quantitative spectroscopy ontology, which contains more that 106 axioms. In the paper we present the knowledge base structure and describe two classes of the information sources classification tasks, together with the solutions using querying OWL ontologies.",

keywords = "Annotation model, Classification problems, Water spectroscopy knowledge base",

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

year = "2010",

language = "English",

volume = "614",

booktitle = "CEUR Workshop Proceedings|CEUR Workshop Proc.",

note = "7th International Workshop on OWL: Experiences and Directions, OWLED 2010 ; Conference date: 01-07-2010",

url = "http://www.webont.org/owled/2010/papers/owled2010_submission_7.pdf",

}

TY - GEN

T1 - Computed knowledge base for description of information resources of water spectroscopy

AU - Fazliev, Alexander

AU - Privezentsev, Alexey

AU - Tsarkov, Dmitry

AU - Tennyson, Jonathan

PY - 2010

Y1 - 2010

N2 - We develop the addition to the W@DIS information system that allows one to load solutions of the quantitative spectroscopy problems. These solutions are supplied with calculated semantic annotations that characterise properties of the solutions. In addition to the typical properties (e.g. represented in Dublin Core) the solution reliability properties are also determined. Every solution is represented in a knowledge base as an individual of the quantitative spectroscopy ontology, which contains more that 106 axioms. In the paper we present the knowledge base structure and describe two classes of the information sources classification tasks, together with the solutions using querying OWL ontologies.

AB - We develop the addition to the W@DIS information system that allows one to load solutions of the quantitative spectroscopy problems. These solutions are supplied with calculated semantic annotations that characterise properties of the solutions. In addition to the typical properties (e.g. represented in Dublin Core) the solution reliability properties are also determined. Every solution is represented in a knowledge base as an individual of the quantitative spectroscopy ontology, which contains more that 106 axioms. In the paper we present the knowledge base structure and describe two classes of the information sources classification tasks, together with the solutions using querying OWL ontologies.

KW - Annotation model

KW - Classification problems

KW - Water spectroscopy knowledge base

M3 - Conference contribution

VL - 614

BT - CEUR Workshop Proceedings|CEUR Workshop Proc.

T2 - 7th International Workshop on OWL: Experiences and Directions, OWLED 2010

Y2 - 1 July 2010

ER -

Computed knowledge base for description of information resources of water spectroscopy

Abstract

Conference

Keywords

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Cite this