This paper addresses the new emerging approach of Semantic Lexicon-based systems for modeling semantic Web applications. The paper endeavors to shed lights on some misconceptions in the literature about the use of taxonomy and ontology as interchangeable terms, defining a midpoint between the two extremes. Semantic Lexicon is considered as the right match between the semantic layer represented by a given ontology and the lexical layer represented by a given taxonomy. Agent-based implementations that employ WordNet as Semantic Lexicon are currently being tested within this framework
A variety of text processing tasks require or bene-fit from semantic resources such as ontologies an...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...
Today, the information on the Web is designed for human interpretation and it is not machine process...
Abstract. In this paper we present a model and a corresponding ontology for associating lexical info...
A hierarchical multi-agent system that exploits one (or more) Semantic Lexicon for performing semant...
Abstract—In this work, a novel framework for designing Web Information Retrieval systems with partic...
The vision of the Semantic Web is to turn the World Wide Web into a machine-understandable knowledge...
Taxonomies and ontologies are often merged. Ontologists might look upon taxonomies as the extension ...
In this paper we motivate why it is crucial to associate linguistic information with ontologies and ...
This paper deals with the ontology for natural language understanding. In particular, the paper focu...
The goal of the Semantic Web is to create a new form of Web content meaningful to computers. The Sem...
The World Wide Web is the result of a radical new way of thinking about sharing information. This id...
Lexica and terminology databases play a vital role in many NLP applications, but currently most such...
The Semantic Web is developing slowly, but arguably surely. Two inter-related sources of delay are ...
During the last few years, a number of works aiming at interfacing ontologies and lexical resources ...
A variety of text processing tasks require or bene-fit from semantic resources such as ontologies an...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...
Today, the information on the Web is designed for human interpretation and it is not machine process...
Abstract. In this paper we present a model and a corresponding ontology for associating lexical info...
A hierarchical multi-agent system that exploits one (or more) Semantic Lexicon for performing semant...
Abstract—In this work, a novel framework for designing Web Information Retrieval systems with partic...
The vision of the Semantic Web is to turn the World Wide Web into a machine-understandable knowledge...
Taxonomies and ontologies are often merged. Ontologists might look upon taxonomies as the extension ...
In this paper we motivate why it is crucial to associate linguistic information with ontologies and ...
This paper deals with the ontology for natural language understanding. In particular, the paper focu...
The goal of the Semantic Web is to create a new form of Web content meaningful to computers. The Sem...
The World Wide Web is the result of a radical new way of thinking about sharing information. This id...
Lexica and terminology databases play a vital role in many NLP applications, but currently most such...
The Semantic Web is developing slowly, but arguably surely. Two inter-related sources of delay are ...
During the last few years, a number of works aiming at interfacing ontologies and lexical resources ...
A variety of text processing tasks require or bene-fit from semantic resources such as ontologies an...
This paper presents a model to measure semantic similarity between custom ontology concepts and the...
Today, the information on the Web is designed for human interpretation and it is not machine process...