Information Systems are record sensitive and crucial data to support day-to-day company applications and decision making processes. Therefore, these systems often contain most of company product and process knowledge. Unfortunately, this knowledge is implicitly encoded within the semantics of the modelling languages used by the companies. The explicit semantics is usually not recorded in such models of information systems. References to ontologies could be considered as an added value for handling the explicit semantics carried by the concepts, data and instances of models Thus, developing new user Interfaces or reconciling data and/or models with external ones often require some kind of reverse engineering processes for making data semantic explicit.
Nowadays, ontologies are used for making explicit the meaning of information in several research and application domains. Ontologies are now used in a large spectrum of fields such as: Semantic Web, information integration, database design, e-Business, data warehousing, data mining, system interoperability, formal verification. They are also used to provide information system user knowledge-level interfaces. Over the last five year, a number of interactions between ontologies and information systems have emerged. New methods have been proposed to embed within database both ontologies and data, defining new ontology-based database. New languages were developed in order to facilitate exchange both ontology and data. Other languages dedicated for querying data at the ontological level were proposed (e.g., RQL, SOQA-QL, or OntOQL). Various approaches have been designed to deal with semantic integration of heterogeneous information sources and system interoperability using ontologies either in data sources or in mediators. In some domains, like products modelling, ontologies were published as standards. These ontologies are actually used to define world wide exchange consortiums for sharing information in various application domains. Due to these recent developments, most commercial database systems offer solution to both manage ontologies and data.
The objective of our workshop is to capitalize this effort. The aim of OAIS is twofold. The first one is to present new and challenging issues in the contribution of ontologies for designing high quality information systems. The second one is to present new research and technological developments that use ontologies all over the life cycle of information systems.
We seek original and high quality submissions related (but not limited) to one or more of the following topics:
Applications, Evaluations, and Experiences in the following domains: