2017
DOI: 10.1016/j.ins.2017.08.081
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A Structural Analysis of topic ontologies

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Cited by 10 publications
(5 citation statements)
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References 29 publications
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“…Topic ontologies are a specific type of ontologies which specify topics as nodes of a directed acyclic graph. An edge in the graph then implies an "is part of"-relation between the topics (Xamena et al, 2017). The effort in creating topic ontologies ranges from ad-hoc decisions (e.g., tags for blog posts) to extensive classification schemes for libraries.…”
Section: Topic Ontologiesmentioning
confidence: 99%
“…Topic ontologies are a specific type of ontologies which specify topics as nodes of a directed acyclic graph. An edge in the graph then implies an "is part of"-relation between the topics (Xamena et al, 2017). The effort in creating topic ontologies ranges from ad-hoc decisions (e.g., tags for blog posts) to extensive classification schemes for libraries.…”
Section: Topic Ontologiesmentioning
confidence: 99%
“…Principles of unification are outlined in [17], but only the structure of the KB on facts is given as a base. The paper [18] is characterized by a detailed analysis of ontology, but is mainly a theoretical work without practical implementation. In [19], the complex problem of the knowledge representation methodology is formulated, but specific ways of its practical implementation are not indicated.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Moreover, the IEDM continues with an extra step that performs an additional ordering on the equations vector (Xamena et al, 2012). Due to this strategy, the number of linear assignment blocks might increase.…”
Section: Improving Structural Partitioning By Means Of Edm and Iedmmentioning
confidence: 99%
“…It includes a calculation procedure of the complexity of equations and variables in the system that privileges the generation of blocks of linear equations. Finally, the latest evolution of the DM is the Improved EDM (IEDM) (Xamena et al, 2012). This enhancement on the EDM performs a prior ordering on the equations by their complexity degree.…”
Section: Introductionmentioning
confidence: 99%