[PDF][PDF] A corpus-based conceptual clustering method for verb frames and ontology acquisition
D Faure, C Nédellec - LREC workshop on adapting lexical and …, 1998 - researchgate.net
… We have thus developed a conceptual clustering method suitable for learning ontologies
and subcategorization frames of verbs. ASIUM (see algorithm fig. 1) is bottomup and performs …
and subcategorization frames of verbs. ASIUM (see algorithm fig. 1) is bottomup and performs …
Semantic clustering using multiple ontologies
… influence of using several ontologies simultaneously in the clustering. The study has …
Concepts c1 and c2 appear in only one ontology: If the pair of concepts occurs in a unique ontology…
Concepts c1 and c2 appear in only one ontology: If the pair of concepts occurs in a unique ontology…
[PDF][PDF] Improving classical clustering with ontologies
… ontology where relationships between concepts are formalised. In section 3, how to exploit
the knowledge represented in domain ontologies … for comparing concepts in ontologies have …
the knowledge represented in domain ontologies … for comparing concepts in ontologies have …
Metric-based stochastic conceptual clustering for ontologies
… for stochastic conceptual clustering that can be applied to standard … applied to a wide range
of concept languages. Besides, the induction of new concepts may follow from such clusters, …
of concept languages. Besides, the induction of new concepts may follow from such clusters, …
Clustering ontology-based metadata in the semantic web
A Maedche, V Zacharias - Principles of Data Mining and Knowledge …, 2002 - Springer
… In this paper we propose an approach for clustering ontology-… similarity measures for
comparing ontology-based metadata … Hierarchical clustering algorithms are preferable for concept-…
comparing ontology-based metadata … Hierarchical clustering algorithms are preferable for concept-…
A structured ontology construction by using data clustering and pattern tree mining
YT Yu, CC Hsu - 2011 International Conference on Machine …, 2011 - ieeexplore.ieee.org
… a reasonable and balanced ontology topology … ontology construction based on data clustering
and pattern tree mining. The construction method uses data clustering and formal concept …
and pattern tree mining. The construction method uses data clustering and formal concept …
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database
RC Romero-Zaliz, C Rubio-Escudero… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
… We propose a novel conceptual clustering methodology termed … We apply this methodology
to identify conceptual models in structural databases generated from gene ontologies. These …
to identify conceptual models in structural databases generated from gene ontologies. These …
Conceptual querying through ontologies
T Andreasen, H Bulskov - Fuzzy Sets and Systems, 2009 - Elsevier
… ontology framework where a basis ontology situates a set of atomic term concepts A in a
concept … While we may consider connectivity clustering as ontology based in a genuine sense it …
concept … While we may consider connectivity clustering as ontology based in a genuine sense it …
[PDF][PDF] Designing Clustering Methods for Ontology Building-The Mo'K Workbench.
… of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology
… , comparison, characterization and elaboration of conceptual clustering methods. Also, the …
… , comparison, characterization and elaboration of conceptual clustering methods. Also, the …
Modeling user interests by conceptual clustering
… clustering algorithm belonging to the conceptual clustering paradigm, named WebDCC (Web
Document Conceptual Clustering)… conceptual clustering plays an important role in ontology …
Document Conceptual Clustering)… conceptual clustering plays an important role in ontology …
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