DocumentCode :
3398647
Title :
Dynamic optimization of semantic annotation relevance
Author :
Bonino, Dario ; Corno, Fulvio ; Squillero, Giovanni
Author_Institution :
Dipt. di Automatica ed Informatica, Politecnico di Torino, Italy
Volume :
2
fYear :
2004
fDate :
19-23 June 2004
Firstpage :
1301
Abstract :
The introduction of semantics in the next generation of the Web, the semantic Web, is strongly based on conceptual description of resources by means of semantic annotations. Effective technologies are therefore required lo correctly map the available syntactic information onto a set of relevant conceptual entities able to model the knowledge domain to which a resource belongs. In attempting to address such issue, we propose an evolutionary optimization of semantic annotation relevance which can improve text-to-concept mapping using information from both the syntactic and the semantic domains. The proposed algorithm leverages relevance information on resource contents, with respect to a subset of a given ontology, and performs several ontology navigation steps for extracting the set of most relevant annotations, in terms of semantic expressiveness. The fitness function of the algorithm is strongly time dependent since the set of annotation to be refined may vary according to user requests, to changes in the domain ontology and is related to the granularity of the annotation set.
Keywords :
evolutionary computation; ontologies (artificial intelligence); semantic Web; annotation set granularity; conceptual description; domain ontology; dynamic optimization; evolutionary optimization; fitness function; ontology navigation; relevance information; resource contents; semantic Web; semantic annotation relevance; semantic expressiveness; syntactic information; text-to-concept mapping; Artificial intelligence; Collaboration; Data mining; Humans; Indexing; Information management; Monitoring; Navigation; Ontologies; Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
Type :
conf
DOI :
10.1109/CEC.2004.1331047
Filename :
1331047
Link To Document :
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