Probabilistic RDF

Octavian Udrea; V. S. Subrahmanian; Zoran Majkić

doi:10.1109/IRI.2006.252408

Probabilistic RDF

Octavian Udrea^*, V. S. Subrahmanian, Zoran Majkić

^*Corresponding author for this work

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

40 Scopus citations

Abstract

RDF is rapidly being adopted around the world as a paradigm for knowledge representation. However, we are not aware of any version of RDF that can express probabilistic knowledge. In this paper, we develop a framework called Probabilistic RDF (pRDF for short) - we provide a syntax as well as a model theoretic and fixpoint semantics for acyclic pRDF theories. We then provide algorithms to efficiently answer queries posed to pRDF ontologies. We have developed a prototype implementation that shows that our algorithms work very well in practice.

Original language	English (US)
Title of host publication	Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
Pages	172-177
Number of pages	6
DOIs	https://doi.org/10.1109/IRI.2006.252408
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Information Reuse and Integration, IRI-2006 - Waikoloa Village, HI, United States Duration: Sep 16 2006 → Sep 18 2006

Publication series

Name	Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006

Conference

Conference	2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
Country/Territory	United States
City	Waikoloa Village, HI
Period	9/16/06 → 9/18/06

ASJC Scopus subject areas

Information Systems
Signal Processing
Software

Access to Document

10.1109/IRI.2006.252408

Cite this

@inproceedings{d37b72eac3254f31a4bc84aec54289ef,

title = "Probabilistic RDF",

abstract = "RDF is rapidly being adopted around the world as a paradigm for knowledge representation. However, we are not aware of any version of RDF that can express probabilistic knowledge. In this paper, we develop a framework called Probabilistic RDF (pRDF for short) - we provide a syntax as well as a model theoretic and fixpoint semantics for acyclic pRDF theories. We then provide algorithms to efficiently answer queries posed to pRDF ontologies. We have developed a prototype implementation that shows that our algorithms work very well in practice.",

author = "Octavian Udrea and Subrahmanian, {V. S.} and Zoran Majki{\'c}",

year = "2006",

doi = "10.1109/IRI.2006.252408",

language = "English (US)",

isbn = "0780397886",

series = "Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006",

pages = "172--177",

booktitle = "Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006",

note = "2006 IEEE International Conference on Information Reuse and Integration, IRI-2006 ; Conference date: 16-09-2006 Through 18-09-2006",

}

Udrea, O, Subrahmanian, VS & Majkić, Z 2006, Probabilistic RDF. in Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006., 4018485, Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006, pp. 172-177, 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006, Waikoloa Village, HI, United States, 9/16/06. https://doi.org/10.1109/IRI.2006.252408

Probabilistic RDF. / Udrea, Octavian; Subrahmanian, V. S.; Majkić, Zoran.
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006. 2006. p. 172-177 4018485 (Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006).

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

TY - GEN

T1 - Probabilistic RDF

AU - Udrea, Octavian

AU - Subrahmanian, V. S.

AU - Majkić, Zoran

PY - 2006

Y1 - 2006

N2 - RDF is rapidly being adopted around the world as a paradigm for knowledge representation. However, we are not aware of any version of RDF that can express probabilistic knowledge. In this paper, we develop a framework called Probabilistic RDF (pRDF for short) - we provide a syntax as well as a model theoretic and fixpoint semantics for acyclic pRDF theories. We then provide algorithms to efficiently answer queries posed to pRDF ontologies. We have developed a prototype implementation that shows that our algorithms work very well in practice.

AB - RDF is rapidly being adopted around the world as a paradigm for knowledge representation. However, we are not aware of any version of RDF that can express probabilistic knowledge. In this paper, we develop a framework called Probabilistic RDF (pRDF for short) - we provide a syntax as well as a model theoretic and fixpoint semantics for acyclic pRDF theories. We then provide algorithms to efficiently answer queries posed to pRDF ontologies. We have developed a prototype implementation that shows that our algorithms work very well in practice.

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M3 - Conference contribution

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T3 - Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006

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BT - Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006

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Y2 - 16 September 2006 through 18 September 2006

ER -

Probabilistic RDF

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