Improving Software Agent Communication with Structural Ontology Alignment Methods

2010 ◽  
Vol 5 (3) ◽  
pp. 49-64 ◽  
Author(s):  
Jairo F. de Souza ◽  
Rubens N. Melo ◽  
Jonice Oliveira ◽  
Jano de Souza ◽  
Sean Wolfgand M. Siqueira
Keyword(s):  
Semantic Web ◽  
Software Agents ◽  
Software Agent ◽  
Semantic Interoperability ◽  
Ontology Alignment ◽  
Agent Communication ◽  
System A ◽  
Domain Ontologies

To perform tasks on the semantic web, software agents must be able to communicate with other agents using domain ontologies, even when considering different ontologies. In this regard, it is necessary to address semantic interoperability to enable agents to recognize common concepts and misunderstandings. In this paper, the authors propose the use of negotiation concepts in business scenarios for addressing concept compatibilization problems in communication between software agents and present an algorithm developed in the GNoSIS system. A validation of this approach is presented.

Applying Ontology Similarity Functions to Improve Software Agent Communication

2012 ◽  
pp. 43-57
Author(s):  
Jairo Francisco de Souza ◽  
Sean W.M. Siqueira ◽  
Rubens N. Melo
Keyword(s):  
Semantic Web ◽  
Software Agents ◽  
Software Agent ◽  
Semantic Interoperability ◽  
Agent Architecture ◽  
Similarity Functions ◽  
Agent Communication ◽  
Domain Ontologies

In order to perform its tasks on the Semantic Web, software agents must be able to communicate with other agents using domain ontologies, even when considering different ontologies. Thus, it’s necessary to address the semantic interoperability issue to enable agents to recognize common concepts and misunderstandings. This work proposes the use of GNoSIS, a tool for composing ontology similarity functions, and specific modules in Goddard agent architecture in order for software agents to negotiate meanings of terms not defined in its ontology.

Referencing Resources through Ontology Evolution

2010 ◽  
pp. 224-244
Author(s):  
Déliar Rogozan ◽  
Gilbert Paquette
Keyword(s):  
Semantic Web ◽  
Domain Knowledge ◽  
Software Agents ◽  
Dynamic Environments ◽  
Ontology Evolution ◽  
Domain Ontologies ◽  
Original Domain ◽  
Fundamental Requirement

Evolution is a fundamental requirement for useful ontologies. Knowledge evolves continuously in all fields of knowledge due to the progress in research and applications. Because they are theories of knowledge in a precise domain, Ontologies need to evolve because the domain has changed, the viewpoint of the domain has changed or because problems in the original domain conceptualization have to be resolved or have been resolved (Noy & Klein, 2003). Moreover, in open and dynamic environments such as the Semantic Web, the ontologies need to evolve because domain knowledge evolves continually (Heflin & Hendler, 2000) or because ontology-oriented software-agents must respond to changes in users’ needs (Stojanovic, Maedche, Stojanovic, & Studer, 2003).

Ontologies as Knowledge Organization Systems

2021 ◽  
Vol 48 (2) ◽  
pp. 152-176
Author(s):  
Maria Teresa Biagetti
Keyword(s):  
Semantic Web ◽  
Digital Libraries ◽  
Query Expansion ◽  
Semantic Interoperability ◽  
Knowledge Organization ◽  
Biomedical Ontologies ◽  
Semantic Richness ◽  
Knowledge Organization Systems ◽  
The Creation ◽  
Domain Ontologies

This contribution presents the principal features of ontologies, drawing special attention to the comparison between ontologies and the different kinds of know­ledge organization systems (KOS). The focus is on the semantic richness exhibited by ontologies, which allows the creation of a great number of relationships between terms. That establishes ontologies as the most evolved type of KOS. The concepts of “conceptualization” and “formalization” and the key components of ontologies are described and discussed, along with upper and domain ontologies and special typologies, such as bibliographical ontologies and biomedical ontologies. The use of ontologies in the digital libraries environment, where they have replaced thesauri for query expansion in searching, and the role they are playing in the Semantic Web, especially for semantic interoperability, are sketched.

An Integer Linear Programming-Based Method for the Extraction of Ontology Alignment

2021 ◽  
Vol 16 (2) ◽  
pp. 25-44
Author(s):  
Naima El Ghandour ◽  
Moussa Benaissa ◽  
Yahia Lebbah
Keyword(s):  
Linear Programming ◽  
Semantic Web ◽  
Integer Linear Programming ◽  
New Method ◽  
Ontology Matching ◽  
Ontology Alignment ◽  
Programming Techniques ◽  
Data Heterogeneity ◽  
Series Of Experiments

The Semantic Web uses ontologies to cope with the data heterogeneity problem. However, ontologies become themselves heterogeneous; this heterogeneity may occur at the syntactic, terminological, conceptual, and semantic levels. To solve this problem, alignments between entities of ontologies must be identified. This process is called ontology matching. In this paper, the authors propose a new method to extract alignment with multiple cardinalities using integer linear programming techniques. The authors conducted a series of experiments and compared them with currently used methods. The obtained results show the efficiency of the proposed method.

Negotiation by Software Agents in Electronic Business

2013 ◽  
pp. 327-349
Author(s):  
Nosheen Riaz ◽  
Moez Rehman
Keyword(s):  
Natural Language ◽  
Software Agents ◽  
Software Agent ◽  
Negotiation Process ◽  
Electronic Business ◽  
Semantic Web Technology ◽  
Human Agent ◽  
Business Contract ◽  
Business Negotiations ◽  
Language Content

Electronic negotiation is one of many applications that software agents can perform to facilitate electronic business. Negotiations between software agents and humans (hybrid negotiation), can make electronic business efficient and intelligent. It can save time, effort and other valueable resources by replacing the human in electronic business activities and many other domains. However, to enable hybrid negotiation, a software agent needs clear machine interpretable semantics to understand and generate natural language content. Although it is not simple to make natural language content understandable by software agents as a whole, it can be achieved in different domains--in this case electronic business. For this purpose, an example of hybrid negotiation is presented, in which a software agent and a human agent negotiate for a business contract. Problems involved in this negotiation process are partially resolved through ontologies (the main Semantic Web technology), NSS (negotiation support system) and hand written rules.

Intelligent Semantics Approaches for Adaptive Web

2018 ◽  
pp. 201-220
Author(s):  
Anu Sharma ◽  
Aarti Singh
Keyword(s):  
Semantic Web ◽  
Intelligent Agents ◽  
Software Agents ◽  
User Profile ◽  
Content Management ◽  
Web Personalization ◽  
New Era ◽  
Work Done ◽  
The Web

Intelligent semantic approaches (i.e., semantic web and software agents) are very useful technologies for adding meaning to the web. Adaptive web is a new era of web targeting to provide customized and personalized view of contents and services to its users. Integration of these two technologies can further add to reasoning and intelligence in recommendation process. This chapter explores the existing work done in the area of applying intelligent approaches to web personalization and highlighting ample scope for application of intelligent agents in this domain for solving many existing issues like personalized content management, user profile learning, modelling, and adaptive interactions with users.

Web Semantics for Personalized Information Retrieval

2017 ◽  
pp. 166-186 ◽  
Author(s):  
Aarti Singh ◽  
Anu Sharma
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Web Search ◽  
Information Overload ◽  
Software Agents ◽  
Web Personalization ◽  
Comprehensive Review ◽  
Web Technologies ◽  
Intelligent Interface

This chapter explores the synergy between Semantic Web (SW) technologies and Web Personalization (WP) for demonstrating an intelligent interface for Personalized Information Retrieval (PIR) on web. Benefits of adding semantics to WP through ontologies and Software Agents (SA) has already been realized. These approaches are expected to prove useful in handling the information overload problem encountered in web search. A brief introduction to PIR process is given, followed by description of SW, ontologies and SA. A comprehensive review of existing web technologies for PIR has been presented. Although, a huge contribution by various researchers has been seen and analyzed but still there exist some gap areas where the benefits of these technologies are still to be realized in future personalized web search.

Integrating Semantic Web and Software Agents

2012 ◽  
pp. 82-99
Author(s):  
Yiwei Gong ◽  
Sietse Overbeek ◽  
Marijn Janssen
Keyword(s):  
Semantic Web ◽  
Intelligent Agents ◽  
Software Agents ◽  
Architectural Style ◽  
Bdi Agents ◽  
Agent Programming ◽  
Bdi Agent ◽  
Integration Architecture ◽  
Two Systems ◽  
Interchange Format

Software agents and rules are both used for creating flexibility. Exchanging rules between Semantic Web and agents can ensure consistency in rules and support easy updating and changing of rules. The Rule Interchange Format (RIF) is a new W3C recommendation Semantic Web standard for exchanging rules among disparate systems. Yet, the contribution of RIF in rules exchange between Semantic Web and software agents is unclear. The BDI architectural style is regarded as the predominant approach for the implementation of intelligent agents. This paper proposes a development for integrating RIF and BDI agents to enhance agent reasoning capabilities. This approach consists of an integration architecture and equivalence principles for rule translation. The equivalence principles are demonstrated using examples. The results show that the approach allows the integration of RIF with BDI agent programming and realize the translation between the two systems.

Agent-Driven Semantic Interoperability for Cross-Organisational Business Processes

2010 ◽  
pp. 61-89
Author(s):  
Ingo Zinnikus ◽  
Christian Hahn ◽  
Klaus Fischer
Keyword(s):  
Semantic Web ◽  
Rapid Prototyping ◽  
Web Service ◽  
Business Processes ◽  
Semantic Interoperability ◽  
Technical Level ◽  
Semantic Web Service ◽  
Agent Based ◽  
Model Driven ◽  
Model Driven Approach

In cross-organisational business interactions, integrating different partners raises interoperability problems especially on the technical level. The internal processes and interfaces of the participating partners are often pre-existing and have to be taken as given. This imposes restrictions on the possible solutions for the problems which occur when partner processes are integrated. The aim of this chapter is the presentation of a three-tier framework for managing and implementing interoperable and crossorganizational business processes. Thereby the authors want to fill the gap currently existing between processes defined on a strategic level and executed models. We describe a solution which supports rapid prototyping by combining a model-driven framework for cross-organisational business processes with an agent-based approach for flexible process execution. We show how the W3C recommendation for Semantic Web service descriptions can be combined with the model-driven approach for rapid service integration.

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