Effective Design of Trust Ontologies for Improvement in the Structure of Socio-Semantic Trust Networks
N. Dokoohaki, and M. Matskin. International Journal On Advances in Intelligent Systems, 1 (1942-2679):
23--42(2008)
Abstract
Social ecosystems are growing across the web and
social trust networks formed within these systems create an
extraordinary test-bed to study relation dependant notions such
as trust, reputation and belief. In order to capture, model and
represent the semantics of trust relationships forming the trust
networks, main components of relationships are represented and
described using ontologies. This paper investigates how effective
design of trust ontologies can improve the structure of trust
networks created and implemented within semantic web-driven
social institutions and systems. Based on the context of our
research, we represent a trust ontology that captures the
semantics of the structure of trust networks based on the context
of social institutions and ecosystems on semantic web.
%0 Journal Article
%1 dokoohaki2008effective
%A Dokoohaki, Nima
%A Matskin, Mihhail
%D 2008
%E Nima,
%J International Journal On Advances in Intelligent Systems
%K design evaluation management ontologies ontology social trust user
%N 1942-2679
%P 23--42
%T Effective Design of Trust Ontologies for Improvement in the Structure of Socio-Semantic Trust Networks
%U http://www.iariajournals.org/intelligent\_systems/intsys\_v1\_n1\_2008\_paged.pdf
%V 1
%X Social ecosystems are growing across the web and
social trust networks formed within these systems create an
extraordinary test-bed to study relation dependant notions such
as trust, reputation and belief. In order to capture, model and
represent the semantics of trust relationships forming the trust
networks, main components of relationships are represented and
described using ontologies. This paper investigates how effective
design of trust ontologies can improve the structure of trust
networks created and implemented within semantic web-driven
social institutions and systems. Based on the context of our
research, we represent a trust ontology that captures the
semantics of the structure of trust networks based on the context
of social institutions and ecosystems on semantic web.
%7 1
@article{dokoohaki2008effective,
abstract = {Social ecosystems are growing across the web and
social trust networks formed within these systems create an
extraordinary test-bed to study relation dependant notions such
as trust, reputation and belief. In order to capture, model and
represent the semantics of trust relationships forming the trust
networks, main components of relationships are represented and
described using ontologies. This paper investigates how effective
design of trust ontologies can improve the structure of trust
networks created and implemented within semantic web-driven
social institutions and systems. Based on the context of our
research, we represent a trust ontology that captures the
semantics of the structure of trust networks based on the context
of social institutions and ecosystems on semantic web.},
added-at = {2012-10-09T11:17:45.000+0200},
author = {Dokoohaki, Nima and Matskin, Mihhail},
biburl = {https://www.bibsonomy.org/bibtex/2f3a33f3446a0f538b0cc21fe58eca9ac/nimdoc},
citeulike-article-id = {4094247},
citeulike-linkout-0 = {http://www.iariajournals.org/intelligent\_systems/intsys\_v1\_n1\_2008\_paged.pdf},
edition = 1,
editor = {Nima},
institution = {IARIA},
interhash = {b2cde1390002b7c6b6af1052fe6ab7d2},
intrahash = {f3a33f3446a0f538b0cc21fe58eca9ac},
journal = {International Journal On Advances in Intelligent Systems},
keywords = {design evaluation management ontologies ontology social trust user},
location = {Papeete, French Polynesia},
number = {1942-2679},
organization = {IARIA},
pages = {23--42},
posted-at = {2009-02-24 15:23:34},
priority = {0},
school = {KTH (Royal Institute of Technology)},
timestamp = {2012-10-10T11:28:47.000+0200},
title = {Effective Design of Trust Ontologies for Improvement in the Structure of {Socio-Semantic} Trust Networks},
url = {http://www.iariajournals.org/intelligent\_systems/intsys\_v1\_n1\_2008\_paged.pdf},
volume = 1,
year = 2008
}