Automating workflows for service provisioning: integrating AI and database technologies

Huhns, Michael N.; Singh, Munindar P.

doi:10.1109/caia.1994.323647

Cited by 3 publications

(1 citation statement)

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“…Carnot is reported to have been successfully applied in the fields of scientific decision support over several large scientific databases, workflow automation and management from a database perspective for telecommunication applications (Huhns & Singh, 1994), data validation and cleaning of large databases, and information retrieval from structured databases in response to text queries through model integration of heterogeneous resources.…”

Section: Carnotmentioning

confidence: 99%

Using methods of declarative logic programming for intelligent information agents

Eiter¹,

Fink²,

Sabbatini³

et al. 2002

Theory and Practice of Logic Programming

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At present, the search for specific information on the World Wide Web is faced with several problems, which arise on the one hand from the vast number of information sources available, and on the other hand from their intrinsic heterogeneity, since standards are missing. A promising approach for solving the complex problems emerging in this context is the use of multi-agent systems of information agents, which cooperatively solve advanced information-retrieval problems. This requires advanced capabilities to address complex tasks, such as search and assessment of information sources, query planning, information merging and fusion, dealing with incomplete information, and handling of inconsistency.In this paper, our interest lies in the role which some methods from the field of declarative logic programming can play in the realization of reasoning capabilities for information agents. In particular, we are interested to see in how they can be used, extended, and further developed for the specific needs of this application domain. We review some existing systems and current projects, which typically address information-integration problems. We then focus on declarative knowledge-representation methods, and review and evaluate approaches and methods from logic programming and nonmonotonic reasoning for information agents. We discuss advantages and drawbacks, and point out the possible extensions and open issues.

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Section: Carnotmentioning

confidence: 99%