Difference between revisions of "CEVO"
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CEVO can promote annotating relations in plain text. | CEVO can promote annotating relations in plain text. | ||
− | Figure below shows two headline news on Twitter. The first tweet was published by BBC and the second one was published by New York Times. | + | Figure in below shows two headline news on Twitter. The first tweet was published by BBC and the second one was published by New York Times. |
− | Tweet | + | Tweet #1 is headed by the verb ''announce'' and the tweet#2 is headed by the verb ''say''. |
Both of these tweets are similar in the sense that a '''message is transferred'''. | Both of these tweets are similar in the sense that a '''message is transferred'''. | ||
Annotating these two tweets via CEVO enables us to obtain the same tag '''communication''' for both of these verbs, | Annotating these two tweets via CEVO enables us to obtain the same tag '''communication''' for both of these verbs, | ||
whereas the two verbs ''announce'' and ''say'' do no hold lexical relations such as synonymy. | whereas the two verbs ''announce'' and ''say'' do no hold lexical relations such as synonymy. | ||
+ | |||
+ | |||
+ | [[File:TextAnnotationExample.jpg]] | ||
Revision as of 17:34, 4 May 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.
CEVO Ontology
Use Cases
Use Case 1: Annotating Relations in Text
CEVO can promote annotating relations in plain text. Figure in below shows two headline news on Twitter. The first tweet was published by BBC and the second one was published by New York Times. Tweet #1 is headed by the verb announce and the tweet#2 is headed by the verb say. Both of these tweets are similar in the sense that a message is transferred. Annotating these two tweets via CEVO enables us to obtain the same tag communication for both of these verbs, whereas the two verbs announce and say do no hold lexical relations such as synonymy.
Use Case 2: Annotating Properties of Ontologies
Use case 3: Linking Relations