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
In this paper a novel technique for identifying lexical contexts in web resources is presented. The ...
In this paper a novel technique for identifying lexical contexts in web resources is presented. The ...
We first describe a multi-agent system managing a corporate memory in the form of a corporate semant...
Abstract—In this work, a novel framework for designing Web Information Retrieval systems with partic...
This paper addresses the new emerging approach of Semantic Lexicon-based systems for modeling semant...
The work presented in this paper is an attempt to bridge two co-existing realties: Semantic Web and ...
The work presented in this paper is an attempt to bridge two co-existing realties: Semantic Web and ...
The Semantic Web provides access to heterogeneous, distributed information, enabling software produc...
Abstract. This article describes a new approach of HTML pages search via Internet, which is based on...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
ACM SIGART;The International Foundation for Multiagent Systems, IFMAS;The Int. Workshop on Agent The...
This paper introduces a multi-agent system (MAS) architecture and a relevant algorithm for multiple ...
A user expresses her information need through words with a precise meaning, but from the machine poi...
Abstract. Current efforts on the semantic web are mainly focused on the creation of recommendations ...
In this paper we describe a prototype system for information retrieval on the Internet. Our idea is ...
In this paper a novel technique for identifying lexical contexts in web resources is presented. The ...
In this paper a novel technique for identifying lexical contexts in web resources is presented. The ...
We first describe a multi-agent system managing a corporate memory in the form of a corporate semant...
Abstract—In this work, a novel framework for designing Web Information Retrieval systems with partic...
This paper addresses the new emerging approach of Semantic Lexicon-based systems for modeling semant...
The work presented in this paper is an attempt to bridge two co-existing realties: Semantic Web and ...
The work presented in this paper is an attempt to bridge two co-existing realties: Semantic Web and ...
The Semantic Web provides access to heterogeneous, distributed information, enabling software produc...
Abstract. This article describes a new approach of HTML pages search via Internet, which is based on...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
ACM SIGART;The International Foundation for Multiagent Systems, IFMAS;The Int. Workshop on Agent The...
This paper introduces a multi-agent system (MAS) architecture and a relevant algorithm for multiple ...
A user expresses her information need through words with a precise meaning, but from the machine poi...
Abstract. Current efforts on the semantic web are mainly focused on the creation of recommendations ...
In this paper we describe a prototype system for information retrieval on the Internet. Our idea is ...
In this paper a novel technique for identifying lexical contexts in web resources is presented. The ...
In this paper a novel technique for identifying lexical contexts in web resources is presented. The ...
We first describe a multi-agent system managing a corporate memory in the form of a corporate semant...