scholarly journals An Interaction Approach Between Services for Extracting Relevant Data From Tweets Corpora

10.29007/4tbj ◽  
2018 ◽  
Author(s):  
Mehdy Dref ◽  
Anna Pappa
Keyword(s):  
Social Network ◽  
Software Agents ◽  
Multi Agent System ◽  
Agent System ◽  
Web Resources ◽  
Multi Agent ◽  
Interaction Approach ◽  
The Web

We present a system based on the need of special infrastructure adequate to software agents to operate, to compose and make sense from the contents of the Web resources through the development of a multi-agent system oriented services interactions. Our method follows the different construction ontology techniques and updates them by extracting new terms and integrate them to the ontology.It is based on the detection phrases via the ontological database DBPedia. The system treats each syntagme extracted from the corpus of messages and verifies whether it is possible to associate them directly to a DBPedia knowledge. In case of failure, these service agents interact with each other in order to find the best possible answer to the problem, by operating directly in the phrase, trying to semantically modify it, until the association with ontological knowledge becomes possible. The advantage of our approach is its modularity : it is both possible to add / modify / delete a service or define a new one, and then influence the outcome product. We could compare the results extracted from a heterogeneous body of messages from the Twitter social network with Tagme method, based mainly on storage and annotation of encyclopaedic corpus.

scholarly journals THE USE OF XML TECHNOLOGIES FOR EXCHANGING INFORMATION WITHIN A MULTI-AGENT SYSTEM

2014 ◽  
pp. 26-33
Author(s):  
Sabin Buraga ◽  
Sinica Alboaie ◽  
Lenuta Alboaie
Keyword(s):  
Multi Agent System ◽  
Distributed Objects ◽  
Agent System ◽  
Web Resources ◽  
Multi Agent ◽  
Xml Technologies ◽  
The Web

This paper presents different XML-based techniques for exchanging information between the constituents of a multi-agent system. We expose a multi-agent infrastructure – called Omega – that can be considered as a hierarchical space of distributed objects set those models the Web resources. We suggest an XML/RDF-based model that can be used as a common approach for serialization and metadata description of the objects processed by the agents. Diverse relationships that can be established between the entities of a multi-agent system will also be expressed by different RDF constructs.

Blockchain and multi-agent system for meme discovery and prediction in social network

2021 ◽  
pp. 107368
Author(s):  
Fan Yang ◽  
Yanan Qiao ◽  
Shan Wang ◽  
Cheng Huang ◽  
Xiao Wang
Keyword(s):  
Social Network ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Norm Emergence in Multi-Agent Societies

2011 ◽  
pp. 195-206
Author(s):  
Bastin Tony Roy Savarimuthu ◽  
Maryam Purvis ◽  
Stephen Cranefield
Keyword(s):  
Software Agents ◽  
Experimental Results ◽  
Multi Agent System ◽  
Artificial Agent ◽  
Agent System ◽  
Agent Societies ◽  
Multi Agent ◽  
Norm Emergence

Norms are shared expectations of behaviours that exist in human societies. Norms help societies by increasing the predictability of individual behaviours and by improving cooperation and collaboration among members. Norms have been of interest to multi-agent system researchers, as software agents intend to follow certain norms. But, owing to their autonomy, agents sometimes violate norms, which needs monitoring. In order to build robust MAS that are norm compliant and systems that evolve and adapt norms dynamically, the study of norms is crucial. Our objective in this chapter is to propose a mechanism for norm emergence in artificial agent societies and provide experimental results. We also study the role of autonomy and visibility threshold of an agent in the context of norm emergence.

Software Metrics for Computing Quality of Software Agents

2020 ◽  
Vol 17 (5) ◽  
pp. 2035-2038
Author(s):  
E. Ajith Jubilson ◽  
Ravi Sankar Sangam
Keyword(s):  
Software Metrics ◽  
Online Shopping ◽  
Software Agents ◽  
Evaluation Process ◽  
Building Blocks ◽  
Software Agent ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Metrics are the essential building blocks for any evaluation process. They establish specific goals for improvement. Multi agent system (MAS) is complex in nature, due to the increase in complexity of developing a multi agent system, the existing metrics are less sufficient for evaluating the quality of an MAS. This is due to the fact that agent react in an unpredictable manner. Existing metrics for measuring MAS quality fails to addresses potential communication, initiative behaviour and learn-ability. In this work we have proposed additional metrics for measuring the software agent. A software agent for online shopping system is developed and the metrics values are obtained from it and the quality of the multi agent system is analysed.

scholarly journals Multi-Agent System Development and Application for Supply Chain Management Tasks

2021 ◽  
Vol 24 ◽  
pp. 1-7
Author(s):  
Darya Plinere ◽  
Ludmila Aleksejeva ◽  
Yuri Merkuryev
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
System Development ◽  
Software Agents ◽  
Multi Agent System ◽  
Timely Manner ◽  
Changing Environment ◽  
Agent System ◽  
Chain Management ◽  
Multi Agent

In today’s dynamically changing environment, we need to be able to respond in a timely manner to changes in supply chain processes. Software agents are successfully used in supply chain management tasks for a variety of purposes. The behaviour of agents is determined by the purpose of their development, and the effectiveness of the use of agents is considered in accordance with the purpose of their development. The paper presents research on the development of a multi-agent system for supply chain management, focusing on the steps of developing a multi-agent system. The choice of each algorithm for agents is analysed and argued. The application of the developed multi-agent system for supply chain management is also described in the paper. The efficiency of application of the developed multi-agent system is presented as well.

Rule-Based Parsing for Web Data Extraction

2008 ◽  
pp. 469-484
Author(s):  
David Camacho ◽  
Ricardo Aler ◽  
Juan Cuadrado
Keyword(s):  
Data Extraction ◽  
Research Field ◽  
Multi Agent System ◽  
Agent System ◽  
Web Based ◽  
Web Information ◽  
Multi Agent ◽  
Stored Information ◽  
The Web ◽  
Web Systems

How to build intelligent robust applications that work with the information stored in the Web is a difficult problem for several reasons which arise from the essential nature of the Web: the information is highly distributed, it is dynamic (both in content and format), it is not usually correctly structured, and the web sources will be unreachable at some times. To build robust and adaptable web systems, it is necessary to provide a standard representation for the information (i.e., using languages such as XML and ontologies to represent the semantics of the stored knowledge). However, this is actually a research field and usually most web sources do not provide their information in a structured way. This chapter analyzes a new approach that allows us to build robust and adaptable web systems by using a multi-agent approach. Several problems, including how to retrieve, extract, and manage the stored information from web sources, are analyzed from an agent perspective. Two difficult problems will be addressed in this chapter: designing a general architecture to deal with the problem of managing web information sources; and how these agents could work semiautomatically, adapting their behaviors to the dynamic conditions of the electronic sources. To achieve the first goal, a generic web-based multi-agent system (MAS) will be proposed, and will be applied in a specific problem to retrieve and manage information from electronic newspapers. To partially solve the problem of retrieving and extracting web information, a semiautomatic web parser will be designed and deployed like a reusable software component. This parser uses two sets of rules to adapt the behavior of the web agent to possible changes in the web sources. The first one is used to define the knowledge to be extracted from the HTML pages; the second one represents the final structure to store the retrieved knowledge. Using this parser, a specific web-based multi-agent system will be implemented.

Rule-Based Parsing for Web Data Extraction

2004 ◽  
pp. 65-87 ◽  
Author(s):  
David Camacho ◽  
Ricardo Aler ◽  
Juan Cuadrado
Keyword(s):  
Data Extraction ◽  
Research Field ◽  
Multi Agent System ◽  
Agent System ◽  
Web Based ◽  
Web Information ◽  
Multi Agent ◽  
Stored Information ◽  
The Web ◽  
Web Systems

How to build intelligent robust applications that work with the information stored in the Web is a difficult problem for several reasons which arise from the essential nature of the Web: the information is highly distributed, it is dynamic (both in content and format), it is not usually correctly structured, and the web sources will be unreachable at some times. To build robust and adaptable web systems, it is necessary to provide a standard representation for the information (i.e., using languages such as XML and ontologies to represent the semantics of the stored knowledge). However, this is actually a research field and usually most web sources do not provide their information in a structured way. This chapter analyzes a new approach that allows us to build robust and adaptable web systems by using a multi-agent approach. Several problems, including how to retrieve, extract, and manage the stored information from web sources, are analyzed from an agent perspective. Two difficult problems will be addressed in this chapter: designing a general architecture to deal with the problem of managing web information sources; and how these agents could work semiautomatically, adapting their behaviors to the dynamic conditions of the electronic sources. To achieve the first goal, a generic web-based multi-agent system (MAS) will be proposed, and will be applied in a specific problem to retrieve and manage information from electronic newspapers. To partially solve the problem of retrieving and extracting web information, a semiautomatic web parser will be designed and deployed like a reusable software component. This parser uses two sets of rules to adapt the behavior of the web agent to possible changes in the web sources. The first one is used to define the knowledge to be extracted from the HTML pages; the second one represents the final structure to store the retrieved knowledge. Using this parser, a specific web-based multi-agent system will be implemented.

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