|Author||Calmet, J. ♦ Jekutsch, S. ♦ Kullmann, P. ♦ Schü, J.|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Heterogeneous Information Source ♦ Typical Mediation Task ♦ Annotated Logic ♦ Constraint Domain ♦ Various Knowledge Source ♦ Spatial Reasoning ♦ Suitable Logic-based Language ♦ Various Common Type ♦ Conditional Preference Strategy ♦ Practical Application ♦ Mediation Language ♦ Present Komet ♦ External Knowledge Source ♦ Komet System ♦ Data Inconsistency Resolution ♦ Rich Framework ♦ Independent Software Layer ♦ Extensible Type System ♦ Certain Type ♦ Semi-structured Information ♦ Intelligent Integration ♦ Schema Integration|
|Description||In 10th International Symposium on Methodologies for Intelligent Systems (ISMIS
. We present KOMET, an architecture for the intelligent integration of heterogeneous information sources. It is based on the idea of a mediator, which is an independent software layer between an application and various knowledge sources which need to be accessed. We present an especially suitable logic-based language for encoding typical mediation tasks like conditional preference strategies, schema integration or data inconsistency resolution. Using annotated logic, KOMET is able to perform various common types of reasoning, such as probabilistic, fuzzy, paraconsistent and certain types of temporal and spatial reasoning. In combination with an extensible type system and the embedding of external knowledge sources as constraint domains, our mediation language offers a rich framework, which not only facilitates access to structured information, but as well supports unstructured and semi-structured information. A number of examples show the practical application of our approach. Keywords...
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Education Level||UG and PG ♦ Career/Technical Study|
|Learning Resource Type||Article|
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