Intelligent agents meet the semantic Web in smart spaces

2004 ◽  
Vol 8 (6) ◽  
pp. 69-79 ◽  
Author(s):  
H. Chen ◽  
T. Finin ◽  
Anupam Joshi ◽  
L. Kagal ◽  
F. Perich ◽  
...  
Author(s):  
Nikolaos Dimakis ◽  
John Soldatos ◽  
Lazaros Polymenakos ◽  
Manfred Schenk ◽  
Uwe Pfirrmann ◽  
...  

Author(s):  
Kevin R. Parker

Before understanding the Semantic Web and its associated benefits, one must first be somewhat familiar with the enabling technologies upon which the Semantic Web is based. The extensible markup language (XML), uniform resource identifiers (URIs), resource definition framework (RDF), ontologies, and intelligent agents are all key tithe realization of the Semantic Web. Understanding these key technologies gives readers a firm foundation before progressing to subsequent chapters. This chapter provides a broad overview of each technology, and readers new to these technologies are provided with references to more detailed explanations.


Author(s):  
Anu Sharma ◽  
Aarti Singh

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.


2012 ◽  
pp. 82-99
Author(s):  
Yiwei Gong ◽  
Sietse Overbeek ◽  
Marijn Janssen

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.


Author(s):  
Hilário Oliveira ◽  
Rinaldo Lima ◽  
João Gomes ◽  
Fred Freitas ◽  
Rafael Dueire Lins ◽  
...  

The Semantic Web, proposed by Berners-Lee, aims to make explicit the meaning of the data available on the Internet, making it possible for Web data to be processed both by people and intelligent agents. The Semantic Web requires Web data to be semantically classified and annotated with some structured representation of knowledge, such as ontologies. This chapter proposes an unsupervised, domain-independent method for extracting instances of ontological classes from unstructured data sources available on the World Wide Web. Starting with an initial set of linguistic patterns, a confidence-weighted score measure is presented integrating distinct measures and heuristics to rank candidate instances extracted from the Web. The results of several experiments are discussed achieving very encouraging results, which demonstrate the feasibility of the proposed method for automatic ontology population.


Author(s):  
Yiwei Gong ◽  
Sietse Overbeek ◽  
Marijn Janssen

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.


Author(s):  
Natalia Díaz Rodríguez ◽  
Johan Lilius ◽  
Manuel Pegalajar Cuéllar ◽  
Miguel Delgado Calvo-Flores
Keyword(s):  

Author(s):  
Miguel-Angel Sicilia ◽  
Elena Sanchez-Alonso

The Semantic Web vision described by Berners-Lee, Hendler and Lassila (2001) represents an approach to enhancing the current World Wide Web with machine-understandable semantics. The essential idea is that Web resources identified by Uniform Resource Identifiers (URIs) can be described by metadata with the purpose of enabling automated processing. The precision of logics-based description would allow for the creation of tools that do not rely on natural language processing as current search tools, thus ideally removing the problems associated with ambiguity and implicitness in natural language. Metadata requires shared semantics in the context of an open Web, so that the proliferation of descriptions and vocabularies do not end up in a Tower of Babel. Ontologies provide the support for the shared representation of such semantics, and ontology mapping procedures could resolve the issues of semantic interoperability in case of disparate representations over the same domain. Ontologies act as descriptions of semantic domains used to express metadata records according to previously agreed definitions. Based on the infrastructure provided by ontologies and semantic metadata, the Semantic Web vision rests in the provision of distributed functionality built on intelligent agents and Web services. Since a virtual community is no other thing than a phenomenon that takes place on the Web, its elements are thus subject to being described by Semantic Web metadata, so that community-specific Semantic Web functionality could enhance the communicational elements that are part of communities. A typical scenario for such functionality is that of a filtering service that delivers recommended resources for community members according to the interests shared by members with similar interests. Other scenarios may result in the adaptation of the shared space inhabited by the community members; for example, member lists may be reordered according to the strength of social relationships, or messages could be circulated according to the network of social relationships (Sicilia & García, 2004). The Semantic Web opens many perspectives to create richer environments for virtual communities, and some specific technologies have already been created to deal with some of the definitional aspects of communities. Here we sketch the main elements that should be taken into account in developing experimental applications of Semantic Web technologies to the specifics of virtual communities.


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