Difference between revisions of "CEVO"
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== CEVO: Comprehensive Event Ontology == | == CEVO: Comprehensive Event Ontology == | ||
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| + | '''Abstract Description''' While the general analysis of named entities has received substantial research attention, the analysis of relations over named entities has not. In fact, literature review of works on unstructured data as well as structured data revealed a deficiency in research on abstract conceptualization to organize relations. | ||
| + | We believe that such an abstract conceptualization can benefit various communities and applications | ||
| + | such as natural language processing, information extraction and ontology engineering. | ||
| + | In this paper, we present CEVO (i.e., a comprehensive event ontology) that is built upon | ||
| + | Levin's conceptual hierarchy of English verbs. | ||
| + | This conceptual hierarchy categorizes verbs with the shared meaning or behavior. | ||
| + | We present the fundamental concepts and requirements for this ontology. | ||
| + | Furthermore, we present three use cases for demonstrating the benefits of this ontology on | ||
| + | annotation tasks. The first use case concerns annotating relations in plain text. | ||
| + | The second one annotates ontological properties of a background data model. | ||
| + | The third one links textual relations to properties of the background data model. | ||
Revision as of 19:10, 28 April 2016
CEVO: Comprehensive Event Ontology
Abstract Description While the general analysis of named entities has received substantial research attention, the analysis of relations over named entities has not. In fact, literature review of works on unstructured data as well as structured data revealed a deficiency in research on abstract conceptualization to organize relations. We believe that such an abstract conceptualization can benefit various communities and applications such as natural language processing, information extraction and ontology engineering. In this paper, we present CEVO (i.e., a comprehensive event ontology) that is built upon Levin's conceptual hierarchy of English verbs. This conceptual hierarchy categorizes verbs with the shared meaning or behavior. We present the fundamental concepts and requirements for this ontology. Furthermore, we present three use cases for demonstrating the benefits of this ontology on annotation tasks. The first use case concerns annotating relations in plain text. The second one annotates ontological properties of a background data model. The third one links textual relations to properties of the background data model.
