Visualizing and authoring owl OWL in ezOWL
Moonyoung Chung, Sooyoung Oh, Kyung‐Il Kim, HyeonSung Cho, Hyun‐Kyu Cho
Abstract
Moonyoung Chung, Sooyoung Oh, Kyung‐Il Kim, HyeonSung Cho, Hyun‐Kyu Cho
Abstract
Knowledge modeling with Web ontology language (OWL) is very complicated because OWL is not for human, but for machine. To effectively describe an ontology represented in OWL, we present a novel visualizing and authoring interface in ezOWL. ezOWL is a visual OWL editor that can intuitively construct an ontology. In this paper, we show how to visualize and author ontology intuitively with diagram-based visualizing and authoring techniques
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Knowledge modeling with Web ontology language (OWL) is very complicated because OWL is not for human, but for machine. To effectively describe an ontology represented in OWL, we present a novel visualizing and authoring interface in ezOWL. ezOWL is a visual OWL editor that can intuitively construct an ontology. In this paper, we show how to visualize and author ontology intuitively with diagram-based visualizing and authoring techniques
Key concepts: OWL-S, Computer science, Ontology, Web Ontology Language, Ontology Inference Layer, Ontology language, Semantic Web Rule Language, Construct (python library)