Add to ORKGAbstract. This paper describes an extensible and scalable approach to indexing documents that is utilized within the Highly Organised Team of Agents for Information Retrieval (HOTAIR) architecture.
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...
This paper presents a multi-agent framework that has been developed to assist Web users within organ...
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...
This paper presents an information agent and latent semantic-based indexing architecture to retrieve...
This paper deals with document indexes, which somteimes appear at the back of books and list their m...
. Various information tools appeared to help users locate and retrieve information resources over th...
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user p...
The use of software agents as Database Management System components lead to database systems that ma...
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user p...
The amount of information available on the Internet is currently growing at an incredible rate. Howe...
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user p...
This paper presents a customizable architecture for software agents that capture and access informat...
This paper presents a knowledge-based approach to building an intelligent agent to help overcome the...
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...
To date, document identification based on keyword matching strategies has been the basis of most eff...
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...
This paper presents a multi-agent framework that has been developed to assist Web users within organ...
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...
This paper presents an information agent and latent semantic-based indexing architecture to retrieve...
This paper deals with document indexes, which somteimes appear at the back of books and list their m...
. Various information tools appeared to help users locate and retrieve information resources over th...
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user p...
The use of software agents as Database Management System components lead to database systems that ma...
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user p...
The amount of information available on the Internet is currently growing at an incredible rate. Howe...
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user p...
This paper presents a customizable architecture for software agents that capture and access informat...
This paper presents a knowledge-based approach to building an intelligent agent to help overcome the...
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...
To date, document identification based on keyword matching strategies has been the basis of most eff...
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...
This paper presents a multi-agent framework that has been developed to assist Web users within organ...
International audienceIn the era of Big Data and Open Data, a massive and heterogeneous collections ...