Trading services in ontology-driven markets

Lamparter, Steffen; Schnizler, Björn

doi:10.1145/1141277.1141674

Cited by 19 publications

(9 citation statements)

References 5 publications

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“…This may be insufficient if an agent is not only interested in one particular resource configuration but is also willing to accept similar ones. To remedy this drawback, the use of ontology based bidding languages has to be considered in the future [25].…”

Section: Resultsmentioning

confidence: 99%

Auction‐Based Resource Allocation

Schnizler¹

2009

Market‐Oriented Grid and Utility Computing

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Section: Resultsmentioning

confidence: 99%

Auction‐Based Resource Allocation

Schnizler¹

2009

Market‐Oriented Grid and Utility Computing

Self Cite

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“…Another example may be found in [46], in which a framework for developing distributed applications in a Common Open Service Market (COSM) is created, making use of a Service Interface Description Language (SIDL) to describe the services managed by the trader. [42] present a web market service driven by ontologies. In this system, an ontological communication language is used for representing queries, offers and agreements.…”

Section: Related Workmentioning

confidence: 99%

Modeling Big data‐based systems through ontological trading

et al. 2017

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SUMMARYOne of the great challenges the information society faces is dealing with the huge amount of information generated and handled daily on the Internet. Today, progress in Big Data proposals attempt to solve this problem, but there are certain limitations to information search and retrieval due basically to the large volumes handled, the heterogeneity of the information and its dispersion among a multitude of sources. In this article, a formal framework is defined to facilitate the design and development of an Environmental Management Information System which works with an heterogeneous and large amount of data. Nevertheless, this framework can be applied to other information systems that work with Big Data, since it does not depend on the type of data and can be utilized in other domains. The framework is based on an Ontological Web-Trading Model (OntoTrader) which follows Model-Driven Engineering and OntologyDriven Engineering guidelines to separate the system architecture from its implementation. The proposal is accompanied by a case study, SOLERES-KRS, an Environmental Knowledge Representation System designed and developed using Software Agents and Multi-Agent Systems.

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“…Section 5.3 details a real scenario where the use of the ITS ontology greatly helps to the reduction of failures in information recovery. The ontologies provide the semantic level and the appropriate means to specify the best mechanisms for interoperation based on the logical representation of information (Lamparter and Schnizler, 2006). This semantic annotation will provide large amount of information in a logical structure, allowing devices (clients) to search and link information in a more automatic and straightforward way.…”

Section: Ontologies On Intelligent Transportation Systemsmentioning

confidence: 99%