This article presents and validates a clustering-based method for creating cultural ontologies for community-oriented information systems. The introduced semiautomated approach merges distributed annotation techniques, or subjective assessments of similarities between cultural categories, with established clustering methods to produce ldquocognaterdquo ontologies. This approach is validated against a locally authentic ethnographic method, involving direct work with communities for the design of ldquofluidrdquo ontologies. The evaluation is conducted with of a set of Native American communities located in San Diego County (CA, US). The principal aim of this research is to discover whether distributing the annotation process among isolated respondents would enable ontology hierarchies to be created that are similar to those that are crafted according to collaborative ethnographic processes, found to be effective in generating continuous usage across several studies. Our findings suggest that the proposed semiautomated solution best optimizes among issues of interoperability and scalability, deemphasized in the fluid ontology approach, and sustainable usage.
Department of Information Studies, University of California, Los Angeles, CA 90095; Center for Non-linear Studies, Los Alamos National Laboratory, Los Alamos, NM, 87501
year
2008
journal
Journal of the American Society for Information Science and Technology
%0 Journal Article
%1 citeulike:3839287
%A Srinivasan, Ramesh
%A Pepe, Alberto
%A Rodriguez, Marko A.
%C Department of Information Studies, University of California, Los Angeles, CA 90095; Center for Non-linear Studies, Los Alamos National Laboratory, Los Alamos, NM, 87501
%D 2008
%J Journal of the American Society for Information Science and Technology
%K clustering, cultural, culture, ontologies
%N 9999
%P NA+
%R 10.1002/asi.20998
%T A clustering-based semi-automated technique to build cultural ontologies
%U http://dx.doi.org/10.1002/asi.20998
%V 9999
%X This article presents and validates a clustering-based method for creating cultural ontologies for community-oriented information systems. The introduced semiautomated approach merges distributed annotation techniques, or subjective assessments of similarities between cultural categories, with established clustering methods to produce ldquocognaterdquo ontologies. This approach is validated against a locally authentic ethnographic method, involving direct work with communities for the design of ldquofluidrdquo ontologies. The evaluation is conducted with of a set of Native American communities located in San Diego County (CA, US). The principal aim of this research is to discover whether distributing the annotation process among isolated respondents would enable ontology hierarchies to be created that are similar to those that are crafted according to collaborative ethnographic processes, found to be effective in generating continuous usage across several studies. Our findings suggest that the proposed semiautomated solution best optimizes among issues of interoperability and scalability, deemphasized in the fluid ontology approach, and sustainable usage.
@article{citeulike:3839287,
abstract = {This article presents and validates a clustering-based method for creating cultural ontologies for community-oriented information systems. The introduced semiautomated approach merges distributed annotation techniques, or subjective assessments of similarities between cultural categories, with established clustering methods to produce ldquocognaterdquo ontologies. This approach is validated against a locally authentic ethnographic method, involving direct work with communities for the design of ldquofluidrdquo ontologies. The evaluation is conducted with of a set of Native American communities located in San Diego County (CA, US). The principal aim of this research is to discover whether distributing the annotation process among isolated respondents would enable ontology hierarchies to be created that are similar to those that are crafted according to collaborative ethnographic processes, found to be effective in generating continuous usage across several studies. Our findings suggest that the proposed semiautomated solution best optimizes among issues of interoperability and scalability, deemphasized in the fluid ontology approach, and sustainable usage.},
added-at = {2009-12-11T23:34:46.000+0100},
address = {Department of Information Studies, University of California, Los Angeles, CA 90095; Center for Non-linear Studies, Los Alamos National Laboratory, Los Alamos, NM, 87501},
author = {Srinivasan, Ramesh and Pepe, Alberto and Rodriguez, Marko A.},
biburl = {https://www.bibsonomy.org/bibtex/2c0e5752f2a7f1aee262dd815123d23ca/djsaab},
citeulike-article-id = {3839287},
citeulike-linkout-0 = {http://dx.doi.org/10.1002/asi.20998},
citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/121582720/ABSTRACT},
description = {djsaab's CiteULike library 20091211},
doi = {10.1002/asi.20998},
interhash = {03759199ff55c45fd81a65591840802e},
intrahash = {c0e5752f2a7f1aee262dd815123d23ca},
journal = {Journal of the American Society for Information Science and Technology},
keywords = {clustering, cultural, culture, ontologies},
number = 9999,
pages = {NA+},
posted-at = {2008-12-31 15:52:50},
priority = {5},
timestamp = {2009-12-11T23:34:56.000+0100},
title = {A clustering-based semi-automated technique to build cultural ontologies},
url = {http://dx.doi.org/10.1002/asi.20998},
volume = 9999,
year = 2008
}