DocumentCode :
2974464
Title :
Using ontologies for users-groups matching in an annotation system
Author :
Avola, Danilo ; Bottoni, Paolo ; Hawash, Amjad
Author_Institution :
Dept. of Comput. Sci., Sapienza Univ. of Rome, Rome, Italy
fYear :
2013
fDate :
27-28 March 2013
Firstpage :
38
Lastpage :
44
Abstract :
Representing a domain knowledge through an ontology allows people and systems to share a common corpus of knowledge for reasoning and communicating. We have recently introduced groups to the MADCOW annotation system, and in this paper we describe how the integration of ontologies allows more refined annotations to be posted on groups focused on some domain. In particular, concepts of the domain ontology can be used as tags, which are integral components of annotations, thus allowing more semantically significant queries for retrieving annotations on specific topics. Services for promoting participation to groups of potentially interested users can also be fostered by the adoption of domain ontologies. For example, authors of annotations systematically using tags referrable to some existing ontology can be invited to join groups based on that ontology. Conversely, the analysis of texts of annotations, or of annotated texts, associated with some ontology, can represent a useful addition to construct associations between the ontology concepts and the set of lexical terms associated with them.
Keywords :
ontologies (artificial intelligence); pattern matching; query processing; text analysis; MADCOW annotation system; annotation retrieval; annotation system; annotation text analysis; domain knowledge representation; domain ontology; lexical terms; query processing; reasoning; tags; users-groups matching; Browsers; Collaboration; Databases; Multimedia communication; Ontologies; Portals; Semantics; Matching; Ontologies; Web annotation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (CSIT), 2013 5th International Conference on
Conference_Location :
Amman
Type :
conf
DOI :
10.1109/CSIT.2013.6588755
Filename :
6588755
Link To Document :
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