Integrating enterprise information models in Carnot

Huhns, Michael N.; Jacobs, Nigel; Ksiezyk, Tomasz; Shen, Wei-Min; Singh, Munindar P.; Cannata, Philip

doi:10.1109/icicis.1993.291772

Cited by 30 publications

(12 citation statements)

References 7 publications

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“…The requests need to be decomposed by information agents into sub-requests and disseminated to the appropriate systems and the responses are later collated. Another similar architecture is the Carnot architecture (Huhns et al, 1993) at MCC which is also addressing the problem of logically unifying physically distributed, enterprisewide, heterogeneous information. The essential component of Carnot agents are the Extensible Service Switches (ESSs) which are the communication aides to the legacy systems.…”

Section: A Brief Critical Review Of Heterogeneous Agent Systems Workmentioning

confidence: 99%

Software agents: an overview

Nwana

1996

The Knowledge Engineering Review

1,084

421

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Section: A Brief Critical Review Of Heterogeneous Agent Systems Workmentioning

confidence: 99%

Software agents: an overview

Nwana

1996

The Knowledge Engineering Review

1,084

421

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“…A number of studies have been made of information agents, including a theoretical study of how agents are able to incorporate information from different sources (Gruber, 1991), (Levy et al, 1994). Another important system in this area is called Carnot (Huhns et al, 1992), which allows pre-existing and heterogeneous database systems to work together to answer queries that are outside the scope of any of the individual databases. (Franklin et al, 1996) define an agent as an autonomous process running on a computer that is able to sense and react to its environment.…”

Section: Overview Of Intelligent Agentmentioning

confidence: 99%

Negotiation in Multi-Agent Environments

Militaru¹

2011

Multi-Agent Systems - Modeling, Control, Programming, Simulations and Applications

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“…We will also show that the minimal models and these operators are su cient to support all queries equivalent where AFSC and GEO are two di erent databases. To support such a query in SIMS, what is needed is a minimal model for these databases, containing domainlevel concepts corresponding to the tables in them, and the ability t o choose the 14 corresponding tables and replace the domain concepts used in the query with suitable references to the corresponding tables. The step of choosing the appropriate information source corresponding to a domain-level term used in a query is performed by an operator called choose-source.…”

Section: The Minimal Modelmentioning

confidence: 99%

Query reformulation for dynamic information integration

1996

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Abstract. The standard approach t o i n tegrating heterogeneous information sources is to build a global schema that relates all of the information in the di erent sources, and to pose queries directly against it. The problem is that schema integration is usually di cult, and as soon as any of the information sources change or a new source is added, the process may h a ve to be repeated.The SIMS system uses an alternative approach. A domain model of the application domain is created, establishing a xed vocabulary for describing data sets in the domain. Using this language, each a vailable information source is described. Queries to SIMS against the collection of available information sources are posed using terms from the domain model, and reformulation operators are employed to dynamically select an appropriate set of information sources and to determine how t o i n tegrate the available information to satisfy a query. This approach results in a system that is more exible than existing ones, more easily scalable, and able to respond dynamically to newly available or unexpectedly missing information sources. This paper describes the query reformulation process in SIMS and the operators used in it. We p r o vide precise de nitions of the reformulation operators and explain the rationale behind choosing the speci c ones SIMS uses. We h a ve demonstrated the feasibility and e ectiveness of this approach b y applying SIMS in the domains of transportation planning and medical trauma care.

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Integrating enterprise information models in Carnot

Cited by 30 publications

References 7 publications

Software agents: an overview

Software agents: an overview

Negotiation in Multi-Agent Environments

Query reformulation for dynamic information integration

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