Modeling artificial agents’ actions in context – a deontic cognitive event ontology

Although there have been efforts to integrate Semantic Web technologies and artificial agents related AI research approaches, they remain relatively isolated from each other. Herein, we introduce a new ontology framework designed to support the knowledge representation of artificial agents’ actions within the context of the actions of other autonomous agents and inspired by standard cognitive architectures. The framework consists of four parts: 1) an event ontology for information pertaining to actions and events; 2) an epistemic ontology containing facts about knowledge, beliefs, perceptions and communication; 3) an ontology concerning future intentions, desires, and aversions; and, finally, 4) a deontic ontology for modeling obligations and prohibitions which limit agents’ actions. The architecture of the ontology framework is inspired by deontic cognitive event calculus as well as epistemic and deontic logic. We also describe a case study in which the proposed DCEO ontology supports autonomous vehicle navigation.

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Implementation of an IFD library using semantic web technologies: A case study

eWork and eBusiness in Architecture, Engineering and Construction ◽

10.1201/9780203883327-75 ◽

2008 ◽

pp. 553-558

Keyword(s):

Semantic Web ◽

Semantic Web Technologies ◽

Web Technologies

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A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks

International Journal of Grid and High Performance Computing ◽

10.4018/jghpc.2010100102 ◽

2010 ◽

Vol 2 (4) ◽

pp. 12-30 ◽

Cited By ~ 1

Author(s):

Athena Eftychiou ◽

Bogdan Vrusias ◽

Nick Antonopoulos

Keyword(s):

Large Scale ◽

Network Formation ◽

Collective Intelligence ◽

Semantic Knowledge ◽

Resource Discovery ◽

Online Information ◽

Semantic Web Technologies ◽

Web Technologies ◽

Adaptive Architecture

The increasing amount of online information demands effective, scalable, and accurate mechanisms to manage and search this information. Distributed semantic-enabled architectures, which enforce semantic web technologies for resource discovery, could satisfy these requirements. In this paper, a semantic-driven adaptive architecture is presented, which improves existing resource discovery processes. The P2P network is organised in a two-layered super-peer architecture. The network formation of super-peers is a conceptual representation of the network’s knowledge, shaped from the information provided by the nodes using collective intelligence methods. The authors focus on the creation of a dynamic hierarchical semantic-driven P2P topology using the network’s collective intelligence. The unmanageable amounts of data are transformed into a repository of semantic knowledge, transforming the network into an ontology of conceptually related entities of information collected from the resources located by peers. Appropriate experiments have been undertaken through a case study by simulating the proposed architecture and evaluating results.

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Semantic Web Technologies for Ontologies Description: Case study in Geometry Education

2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) ◽

10.1109/seeda-cecnsm49515.2020.9221781 ◽

2020 ◽

Author(s):

Dimitra Tzoumpa ◽

Sarandis Mitropoulos

Keyword(s):

Semantic Web ◽

Semantic Web Technologies ◽

Web Technologies ◽

Geometry Education

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A Case Study on the Use of Semantic Web Technologies for Learner Guidance

Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion ◽

10.1145/2740908.2743047 ◽

2015 ◽

Author(s):

Andrea Zielinski ◽

Jürgen Bock

Keyword(s):

Semantic Web ◽

Semantic Web Technologies ◽

Web Technologies

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Semantic Economic Models for Bioenergy Projects

International Journal of Semantic Computing ◽

10.1142/s1793351x15400097 ◽

2015 ◽

Vol 09 (03) ◽

pp. 333-352 ◽

Cited By ~ 1

Author(s):

Krishna Sapkota ◽

Pathmeswaran Raju ◽

Will Byrne ◽

Craig Chapman

Keyword(s):

Decision Support ◽

Economic Model ◽

Economic Models ◽

Hydrocarbon Fuel ◽

Decision Support Tools ◽

Semantic Web Technologies ◽

Sustainable Solutions ◽

Web Technologies ◽

Support Tools

One of the sustainable solutions to the depleting fossils fuels is bioenergy, which is a renewable energy generated from biomass, and biofuel is a hydrocarbon fuel that is produced from biomass. Recently, bioenergy and biofuel projects are encouraged and supported by many governments and organizations in various ways such as providing incentives, technical supports, information, and decision support tools. The economic model is one of the decision support tools, which helps to estimate the costs and earnings involved in a project. It is constructed with various elements such as concepts, relations, logics, constants, and equations. In current economic models, all the elements are hard-coded into some programming code, which makes the model less reusable and extendable. To address the issue, we present an ontology-based economic model in this paper. In particular, we have leveraged the Semantic Web technologies to represent the knowledge about the bioenergy and biofuel economics and inferred the equations and other values required for economic calculations. The case study has been carried out in two of the INTERREG Projects and found promising results.

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A Case Study in Business Application Development Using Open Source and Semantic Web Technologies

Enterprise Interoperability II ◽

10.1007/978-1-84628-858-6_78 ◽

2007 ◽

pp. 721-724 ◽

Cited By ~ 1

Author(s):

I. Novicic ◽

Z. Kokovic ◽

N. Jakovljevic ◽

V. Ljubicic ◽

M. Bacetic ◽

...

Keyword(s):

Semantic Web ◽

Open Source ◽

Application Development ◽

Semantic Web Technologies ◽

Web Technologies ◽

Business Application

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Reconsidering Conventional Markup for Knowledge Representation

Proceedings of Balisage: The Markup Conference 2008 ◽

10.4242/balisagevol1.dubin01 ◽

2009 ◽

Cited By ~ 1

Author(s):

David Dubin ◽

David J. Birnbaum

Keyword(s):

Semantic Web ◽

Automated Reasoning ◽

Description Logics ◽

Manuscript Studies ◽

Semantic Web Technologies ◽

Web Technologies ◽

Programming Tools ◽

Textual Transmission ◽

Main Attraction

The main attraction of semantic web technologies such as RDF and OWL over conventional markup is the support those tools provide for expressing precise semantics. Formal grounding for RDF-based languages (in, for example, description logics) and their integration with logic programming tools are guided and constrained by issues of decidability and the tractability of computations. Users of these technologies are invited to use less expressive representations, and thereby work within those constraints. Such compromises seem reasonable when considering the roles automated reasoning agents are expected to play by the semantic web community. But where expectations differ, it may be useful to reconsider using conventional markup and inferencing methods that have been applied with success despite their theoretical weaknesses. We illustrate these issues with a case study from manuscript studies and textual transmission.

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Applying and developing semantic web technologies for exploiting a corpus in history of science: The case study of the Henri Poincaré correspondence

Semantic Web ◽

10.3233/sw-200400 ◽

2020 ◽

pp. 1-20 ◽

Cited By ~ 1

Author(s):

Olivier Bruneau ◽

Nicolas Lasolle ◽

Jean Lieber ◽

Emmanuel Nauer ◽

Siyana Pavlova ◽

...

Keyword(s):

Content Management ◽

User Needs ◽

Content Management System ◽

Henri Poincaré ◽

Semantic Web Technologies ◽

Research Issues ◽

Web Technologies ◽

History Of

The Henri Poincaré correspondence is a corpus of letters sent and received by this mathematician. The edition of this correspondence is a long-term project begun during the 1990s. Since 1999, a website is devoted to publish online this correspondence with digitized letters. In 2017, it has been decided to reforge this website using Omeka S. This content management system offers useful services but some user needs have led to the development of an RDFS infrastructure associated to it. Approximate and explained searches are managed thanks to SPARQL query transformations. A prototype for efficient RDF annotation of this corpus (and similar corpora) has been designed and implemented. This article deals with these three research issues and how they are addressed.

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Architecture of the Organic.Edunet Web Portal

Web Technologies ◽

10.4018/978-1-60566-982-3.ch041 ◽

2011 ◽

pp. 759-773

Author(s):

Nikos Manouselis ◽

Kostas Kastrantas ◽

Salvador Sanchez-Alonso ◽

Jesús Cáceres ◽

Hannes Ebner

Keyword(s):

Semantic Web ◽

Large Scale ◽

Learning Resources ◽

Web Portals ◽

Web Portal ◽

Semantic Web Technologies ◽

Web Technologies

The use of Semantic Web technologies in educational Web portals has been reported to facilitate users’ search, access, and retrieval of learning resources. To achieve this, a number of different architectural components and services need to be harmonically combined and implemented. This article presents how this issue is dealt with in the context of a large-scale case study. More specifically, it describes the architecture behind the Organic.Edunet Web portal that aims to provide access to a federation of repositories with learning resources on agricultural topics. The various components of the architecture are presented and the supporting technologies are explained. In addition, the article focuses on how Semantic Web technologies are being adopted, specialized, and put in practice in order to facilitate ontology-aided sharing and reusing of learning resources.

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