Paper Info
Title
Semantic Lexicon-Based Multi-agent System for Web Resources Markup
Abstract
A hierarchical multi-agent system that exploits one (or more) Semantic Lexicon for performing semantic markup of Web resources is presented. Semantic Lexicon is considered here as a golden ontology defining taxonomical relations among concepts such as hypernymy, meronymy, holonymy and so forth. The system attempts to annotate Web resources according to the available taxonomical relations using simple annotation schemes. The system is completely autonomous if the chosen golden ontology is provided by linguistic experts as it happens for WordNet. The proposed conceptual architecture has been applied to real-world scenarios for test purposes, obtaining promising results.
Year
DOI
Venue
2009
10.1109/ICIW.2009.28
ICIW
Keywords
Field
DocType
proposed conceptual architecture,taxonomical relation,semantic lexicon,semantic lexicon-based multi-agent system,golden ontology,web resources markup,linguistic expert,web resource,available taxonomical relation,system attempt,promising result,hierarchical multi-agent system,computer architecture,xml,collaboration,wordnet,data mining,semantic web,probability density function,construction industry,ontologies,multi agent system,knowledge engineering,service oriented architecture,gold,semantic markup,multiagent systems,testing,multi agent systems
Semantic Web Stack,Computer science,Semantic Web,Natural language processing,Artificial intelligence,Social Semantic Web,Holonymy,Ontology (information science),Semantic similarity,Information retrieval,Semantic lexicon,Semantic HTML,Database
Conference
Citations 
PageRank 
References 
3
0.39
10
Authors
3
Name
Order
Citations
PageRank
Vincenzo Di Lecce19417.49
Marco Calabrese2316.87
Domenico Soldo3192.90