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This paper analyzes some problems in power enterprise data exchange, combines with ontology technology which gives the advantage to the knowledge representation, sharing and reasoning, and proposes a ontology-based power enterprise data exchange system architecture, which is divided into the application layer, middle layer and data source layer. Constructing a global ontology to describe global pattern...
In this paper, we propose an approach to integrate the domain ontology life cycle in database scheme process design. To this end, we lay down that: (i) the ANSI/X3/SPARC architecture is used as modeling framework, (ii) ontology and data semantics are both captured into external schema and propagated to lower level schema, and (iii) ontology-based knowledge is stored in database. As a result, our approach,...
Data management has become a critical challenge faced by a wide array of scientific disciplines in which the provision of sound data management is pivotal to the achievements and impact of research projects. Massive and rapidly expanding amounts of data combined with data models that evolve over time contribute to making data management an increasingly challenging task that warrants a rethinking of...
Information integration service has changed from the traditional query-oriented to the future user-oriented service. The current research on information integration service focuses on providing personalized service based on user's preference, interest and habit. In order to solve the problem of personality in information integration, a novel method based on object deputy model is proposed and the...
We describe an extensible framework for translating data models into ontology models. Initially, the framework addresses two types of source data models: the relational database (RDB) and object-relational database (ORDB) models. The derived ontology model is based on OWL. The framework extracts information about the source data models from the metadata maintained by the DBMS. The extracted metadata...
Since many differences may arise in cognition, abstraction and representation during multi-scale road network compositive modeling, this paper proposes an hierarchical ontology-based multi-scale entity-Relation modeling strategy, it considers ontology integration from the bottom level-general ontology in geographical science, to task ontology for road network features cognition, definition,abstraction,...
The goal of the data model is to certify that all data objects required by the database are completely and accurately represented. Because the data model uses easily understood notations and natural language, it can be examined and confirmed as correct by the end-users. There are two major methodologies used to create a data model: the Entity-Relationship (ER) approach and the object model. Ontologies...
The paper introduces an extension to the NeeK language [2, 5]. In the current shape NeeK allows for selection of fragments of a given ontology. The selected part is automatically mapped to a database schema by data views implementation [7]. Experience with a real system using data views has shown that the resulting database schema does not necessarily reflect the needs of the business logic of an...
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