Abstract. Bioinformaticians are accustomed to going through analysis steps, in which they employ several data sources, like protein sequence and protein interaction databases, to carry out their study. However, the ever-growing size and the dynamic nature of the biological databases make it almost impossible to use the biological data without a sophisticated data-providing infrastructure. In this paper, we introduce a distributed data providing agent system that answers biological queries according to its ontology of biological entities.
In this paper we present the SEWASIE system, a multi-level agent-based architecture for querying he...
Due to the huge volume and complexity of biological data available today, a fundamental component of...
Autonomous agents for topic driven retrieval of information from the Web are currently a very active...
Biologists and bioinformaticians are accustomed to going through analysis steps in which they employ...
In this paper, we describe OntoFusion, a database integration system. This system has been designed ...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
In more than one decade, genomic research produced a huge amount of experimental data. Although thes...
Faced with the immensity of new biological data spurred by the Human Genome Project, bio-ontologies ...
This chapter describes an approach involved in two knowledge management processes in biological fiel...
The last three decades has seen the successful development of many high-throughput technologies that...
In the last years, the Web has been evolving, trans- forming itself in a semantic Web [1]. The new W...
As the amount of biological information and its diversity accumulates massively there is a critical ...
The past twenty years have witnessed an explosion of biological data in diverse database formats gov...
The adoption of agent technologies and Multi-Agent Systems constitutes an emerging area in bioinfo...
Mining biological data is an emergent area at the intersection between bioinformatics and data minin...
In this paper we present the SEWASIE system, a multi-level agent-based architecture for querying he...
Due to the huge volume and complexity of biological data available today, a fundamental component of...
Autonomous agents for topic driven retrieval of information from the Web are currently a very active...
Biologists and bioinformaticians are accustomed to going through analysis steps in which they employ...
In this paper, we describe OntoFusion, a database integration system. This system has been designed ...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
In more than one decade, genomic research produced a huge amount of experimental data. Although thes...
Faced with the immensity of new biological data spurred by the Human Genome Project, bio-ontologies ...
This chapter describes an approach involved in two knowledge management processes in biological fiel...
The last three decades has seen the successful development of many high-throughput technologies that...
In the last years, the Web has been evolving, trans- forming itself in a semantic Web [1]. The new W...
As the amount of biological information and its diversity accumulates massively there is a critical ...
The past twenty years have witnessed an explosion of biological data in diverse database formats gov...
The adoption of agent technologies and Multi-Agent Systems constitutes an emerging area in bioinfo...
Mining biological data is an emergent area at the intersection between bioinformatics and data minin...
In this paper we present the SEWASIE system, a multi-level agent-based architecture for querying he...
Due to the huge volume and complexity of biological data available today, a fundamental component of...
Autonomous agents for topic driven retrieval of information from the Web are currently a very active...