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Representing Research Activities in a Hierarchical Ontology
August 2012
NaFeMi12
The present work is motivated by the problem of analyzing the activities of an organization and representing them in a taxonomy of the domain as its hierarchical ontology. We focus on representing the research activities of a Computer Science research organization in terms of the ACM-CCS taxonomy. We derive research topic clusters according to the similarity derived on the basis of profiling of the topics covered by the researchers working in the organization and then place them onto the hierarchical tree. Each of the steps is performed by using our original algorithms: one-byone spectral-additive fuzzy clustering SAF and a recursive algorithm PARL for mapping fuzzy clusters to higher ranks of the taxonomy. The latter minimizes the weighted sum of penalties for the chosen “head subjects”, and corresponding “gaps” and “offshoots”.
In proceedings
Susana Nascimento, Trevor Fenner, Boris Mirkin
Ioannis Hatzilygeroudis, Vasile Palade
Procs. of the Third International Workshop on Combinations of Intelligent Methods and Applications (CIMA)
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23-29
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Susana Nascimento and Trevor Fenner and Boris Mirkin, Representing Research Activities in a Hierarchical Ontology, in: Ioannis Hatzilygeroudis and Vasile Palade (eds), Procs. of the Third International Workshop on Combinations of Intelligent Methods and Applications (CIMA), Pag. 23-29, August 2012.
<a href="/people/members/view.php?code=4d69262d034cb8174d039bea8d970836" class="author">Susana Nascimento</a>, Trevor Fenner and Boris Mirkin, <b>Representing Research Activities in a Hierarchical Ontology</b>, in: Ioannis Hatzilygeroudis and Vasile Palade (eds), <u>Procs. of the Third International Workshop on Combinations of Intelligent Methods and Applications (CIMA)</u>, Pag. 23-29, August 2012.
@inproceedings {NaFeMi12, author = {Susana Nascimento and Trevor Fenner and Boris Mirkin}, editor = {Ioannis Hatzilygeroudis and Vasile Palade}, title = {Representing Research Activities in a Hierarchical Ontology}, booktitle = {Procs. of the Third International Workshop on Combinations of Intelligent Methods and Applications (CIMA)}, pages = {23-29}, abstract = {The present work is motivated by the problem of analyzing the activities of an organization and representing them in a taxonomy of the domain as its hierarchical ontology. We focus on representing the research activities of a Computer Science research organization in terms of the ACM-CCS taxonomy. We derive research topic clusters according to the similarity derived on the basis of profiling of the topics covered by the researchers working in the organization and then place them onto the hierarchical tree. Each of the steps is performed by using our original algorithms: one-byone spectral-additive fuzzy clustering SAF and a recursive algorithm PARL for mapping fuzzy clusters to higher ranks of the taxonomy. The latter minimizes the weighted sum of penalties for the chosen “head subjects”, and corresponding “gaps” and “offshoots”.}, month = {August}, year = {2012}, }
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