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About 3,069 papers for “database interoperability”

D12 - MOME Interoperability Database

Carsten Schmoll, J. Quittek, S. Tartarelli et al. · 2005

This document outlines the database design and database specifications for the MOME Interoperability and Tools Database. It includes the Interoperability database table’s definitions. Also it provides a survey of existing tool database systems. This Deliverable provides in addition a description of the security and scalability requirements for the database and some preliminary tests and their results.

Cited by 0

Interoperability between new Database Languages

Zahir Tari · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 1992

Keywords: interoperability Reference LBD-CONF-1992-004 Record created on 2007-01-16, modified on 2016-08-08

Cited by 0

Languages for multi-database interoperability

Frédéric Gingras, Laks V. S. Lakshmanan, Iyer N. Subramanian et al. · 1997

article Free Access Share on Languages for multi-database interoperability Authors: Frédéric Gingras Department of Computer Science, Concordia University, Montreal, Quebec, Canada Department of Computer Science, Concordia University, Montreal, Quebec, CanadaView Profile , Laks V. S. Lakshmanan Department of Computer Science, Concordia University, Montreal, Quebec, Canada Department of Computer Science, Concordia University, Montreal, Quebec, CanadaView Profile , Iyer N. Subramanian Department of Computer Science, Concordia University, Montreal, Quebec, Canada Department of Computer Science, Concordia University, Montreal, Quebec, CanadaView Profile , Despina Papoulis Department of Computer Science, Concordia University, Montreal, Quebec, Canada Department of Computer Science, Concordia University, Montreal, Quebec, CanadaView Profile , Nematollaah Shiri Department of Computer Science, Concordia University, Montreal, Quebec, Canada Department of Computer Science, Concordia University, Montreal, Quebec, CanadaView Profile Authors Info & Claims ACM SIGMOD RecordVolume 26Issue 2June 1997 pp 536–538https://doi.org/10.1145/253262.253397Online:01 June 1997Publication History 8citation332DownloadsMetricsTotal Citations8Total Downloads332Last 12 Months5Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Cited by 10Open access

Knowledge Management for Database Interoperability

Naphtali D. Rishe, Rukshan I. Athauda, Jun Yuan et al. · 2000

The availability of multiple heterogeneous, autonomous, distributed data sources containing related information has created a need for integrated access to these information systems. Heterogeneous/multi-database systems address this issue when the component data sources are database systems. Resolution of heterogeneities for integrated access requires discovering and managing certain types of knowledge/facts. A generally accepted methodology or approach for managing this knowledge and information is lacking in research and industry. In this paper, we provide a framework for managing knowledge for interoperable access to heterogeneous database systems. The framework uses knowledge bases at the integration and component sites. Sample schemas of these knowledge bases are presented. A multi-database prototype system utilizing the techniques presented in this paper is being developed.

Cited by 0

Supporting interoperability between new database languages

Stefano Ceri, Letizia Tanca, Roberto V. Zicari · 2002

A general framework is described for achieving interoperability between two database languages, Logres and SOL (Stretch object-oriented language), respectively based on a rule-based and an object-oriented paradigm. A discussion is presented of primitives for exporting and importing data and procedures, distinguishing the export modalities by 'copy' and by 'reference'. Several clauses add semantics to the import/export instructions for excluding, renaming, dereferencing, coercing, and unnesting data, for specifying the signatures, and for structuring the output parameters of programs.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cited by 7

Smart Grid Interoperability Laboratory Petten Database

Covrig Catalin-Felix · Joint Research Centre (European Commission) · 2018

Live and historical data from the devices hosted in the Smart Grid Interoperability Lab Petten. Some examples: microgrids, solar panels, energy storage systems, smart home sensors, energy management systems, weather data, forecast data, electrical data etc.

Cited by 0

Towards Interoperability in Heterogeneous Database Systems

Andrea Zisman, Jeff Kramer · Spiral (Imperial College London) · 1999

Distributed heterogeneous databases consist of systems which differ physically and logically, containing different data models and data manipulation languages. Although these databases are independently created and administered they must cooperate and interoperate. Users need to access and manipulate data from several databases and applications may require data from a wide variety of independent databases. Therefore, a new system architecture is required to manipulate and manage distinct and multiple databases, in a transparent way, while preserving their autonomy. This report contains an extensive survey on heterogeneous databases, analysing and comparing the different aspects, concepts and approaches related to the topic. It introduces an architecture to support interoperability among heterogeneous database systems. The architecture avoids the use of a centralised structure to assist in the different phases of the interoperability process. It aims to support scalability, and to assure privacy and nfidentiality of the data. The proposed architecture allows the databases to decide when to participate in the system, what type of data to share and with which other databases, thereby preserving their autonomy. The report also describes an approach to information discovery in the proposed architecture, without using any centralised structure as repositories and dictionaries, and broadcasting to all databases. It attempts to reduce the number of databases searched and to preserve the privacy of the shared data. The main idea is to visit a database that either containsthe requested data or knows about another database that possible contains this data.

Cited by 6Open access

Database Interoperability Issues in Intelligent Networks

Antoni Wolski · 2007

Intelligent Networks are evolving as data-intensive multi-layer information systems. Databases can be found within or associated with various functional entities of the IN reference model. The aspects of database distribution and heterogeneity are present both within the functional entities and between them, in a real implementation. In particular, the Service Data Function (SDF) has to be implemented in such a way that two different physical entities: the Service Control Point and the Service Management Point have access to the SDF. What makes an IN system a different kind of a distributed and heterogeneous information system is that correctness and reliability requirements vary vastly among different physical entities–and yet transactions are supposed to span many physical entities (real systems). A reference model of IN data management is proposed whereby the full service lifecycle is addressed, including service creation, deployment, provisioning and execution. Essential data management requirements are presented. The needs of transaction processing is presented from the point of view of service provisioning and execution. A classification of transactions interacting with the SDF is proposed, and a corresponding correctness criterion is suggested. 1

Cited by 0

Towards ITS Map Database Interoperability --- Database Error and Rectification

Val Noronha Vehicle, Val Noronha · 2000

. One of the impediments to the implementation of ITS is the lack of map database interoperability. Centreline databases are available from a number of sources, but few were designed specifically for ITS. Consequently there are a variety of problems --- coordinate inaccuracy, errors of omission and commission, missing or wrong street names, incorrect topology --- that are compounded when communicating parties use databases from different vendors. Many ITS applications (e.g. emergency response, ATIS) rely on the exchange of messages in which location is a component. Map error and interoperability problems can result in a variety of practical difficulties from inappropriate vehicle routing to delays in delivery of critical services. These problems can be addressed by (a) standards for map databases, (b) intelligent messaging, (c) national integration efforts to improve database quality in the long term. VITAL is a laboratory funded by the U.S. federal government to develop and test these...

Cited by 0

Semantic dictionary design for database interoperability

Silvana Castano, V. De Antonellis · 2002

Criteria and techniques to support the establishment of a semantic dictionary for database interoperability are described. The techniques allow the analysis of conceptual schemas of databases in a federation and the definition and maintenance of concept hierarchies. Similarity-based criteria are used to evaluate concept closeness and, consequently, to generate concept hierarchies. Experimentation of the techniques in the public administration domain is discussed.

Cited by 66

Smart Grid Interoperability Lab (SGIL) Petten Database

Gabriel Pardo-Redondo · Publications Office of the European Union · 2018

Live and historical data from the devices hosted in the Smart Grid Interoperability Lab Petten. Some examples: microgrids, solar panels, energy storage systems, smart home sensors, energy management systems, weather data, forecast data, electrical data etc.

Cited by 0Open access

A generative communication service for database interoperability

Wilhelm Hasselbring · Technische Universität Dortmund Eldorado (Technische Universität Dortmund) · 1998

Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence and coordination of multiple concurrent activities. The model of 'Generative Communication' in Linda-a paradigm that has been developed for parallel computing-emphasizes the decoupling of cooperating parallel processes; thus, relieving the programmer from the burden of having to consider all process inter-relations explicitly. In many application areas, data is distributed over a multitude of heterogeneous, autonomous information systems. These systems are often isolated and an exchange of data among them is not easy. On the other hand, support for dynamic exchange of data is required to improve the business processes. Cooperative information systems enable such autonomous systems to interoperate. They are complex systems of systems which require a well designed and flexible software architecture. The Linda model had a great influence on research in parallel programming languages. Stimulated by this success, a Generative Communication Service, which offers a very flexible associative addressing mechanism based on metadata matching, has been developed for supporting interoperability of cooperative information systems. Some design patterns guided the construction of the resulting communication service that has been implemented on top of CORBA for an ODMG canonical data model.

Cited by 4Open access

Interoperability Architectures for Distributed Multimedia Database Systems

Henrike Süß, Klaus Meyer-Wegener · 1998

An increasing number of information systems today do not just manage formatted, table-structured data, but also multimedia data, e.g. video, audio, and image. Due to the special treatment they require, these data are often controlled by special servers, whereas the formatted data are stored in conventional databases. The applications, however, should have an integrated view of all their data, so that a single, yet distributed system is to be designed. In this paper, architectures for distributed multimedia database systems (DMMDBS) are presented that integrate conventional database systems, based on relational or object-oriented technology, with one or more multimedia data stores. These architectures are derived from a classification of DMMDBSs using the characteristics that are found to be most relevant for the applications. These characteristics include visibility of distribution, homogeneity of interfaces, and support of distributed transactions. Combining their possible values yi...

Cited by 0

A metadata modeling approach to database interoperability

Cheung, Kei-Hoi · OpenCommons - UConn (University of Connecticut) · 1998

With evolution of scientific knowledge, knowledge within a scientific domain is accumulated within multiple databases maintained by separate groups of researchers. While information across all these databases is semantically related, the individual databases are characterized by different data models, query languages, and user interfaces. There is a growing need for exchanging such semantically related data for detection of redundancies and inconsistencies in both the primary (experimental) data as well as the secondary (inferred) data contained in the databases. However, due to the heterogeneities involved, it is difficult for users of these structurally different databases to query each other's data. To address such a problem, this dissertation proposes a system that allows users to query a set of semantically similar databases based on their existing schema knowledge. ^ The proposed system consists of a query mapping module that automatically maps a (source) query issued against one database schema to an equivalent (target) query against another database schema. The source query may be composed directly by the user using a query language such as SQL. Alternatively, the user can specify the query via a graphical front end (e.g., a query form). Such a graphical query interface is generated dynamically and is tailored to the schema knowledge of the user. The user input, which is accepted by the graphical interface, is converted into the corresponding database query by a “query generator”. ^ Underlying our system is a metadata, model that extends the entity-relationship (ER) model to describe and establish mappings between components among individual databases. The metadata model also includes constructs such as inheritance and aggregation. To facilitate database comparisons, additional information, which is not modeled explicitly in the original database schemas, is described in the metamodel. Such additional information is modeled in the form of hidden entities/attributes/relationships, meta-attributes, and domain constraints. ^ In addition to describing database objects, the model captures metadata that are used to dynamically generate schema-specific graphical query interfaces. As a demonstration, we apply our system to perform query mappings between two genome databases, namely, DB/12 and GDB. ^

Cited by 0