86 research outputs found
The Issues And Solutions Of Integrating DBMS To A Multi-DBMS
Many organizations invest heavily in heterogeneous databases according to organizational functions. These heterogeneous databases are stand-alone systems that do not interact with one another. The objective of this paper is to introduce a multi-database system (MDBMS) that interacts with other heterogeneous DBMS within the organization to integrate information processing. In this paper, we discuss the potential inconsistencies in integrating heterogeneous databases. We further extend to include issues in designing a MDBMS. With a MDBMS, data sharing across organization reduces overheads and costs, thus, provides a competitive advantage to the global firms
Introducing Dynamic Behavior in Amalgamated Knowledge Bases
The problem of integrating knowledge from multiple and heterogeneous sources
is a fundamental issue in current information systems. In order to cope with
this problem, the concept of mediator has been introduced as a software
component providing intermediate services, linking data resources and
application programs, and making transparent the heterogeneity of the
underlying systems. In designing a mediator architecture, we believe that an
important aspect is the definition of a formal framework by which one is able
to model integration according to a declarative style. To this purpose, the use
of a logical approach seems very promising. Another important aspect is the
ability to model both static integration aspects, concerning query execution,
and dynamic ones, concerning data updates and their propagation among the
various data sources. Unfortunately, as far as we know, no formal proposals for
logically modeling mediator architectures both from a static and dynamic point
of view have already been developed. In this paper, we extend the framework for
amalgamated knowledge bases, presented by Subrahmanian, to deal with dynamic
aspects. The language we propose is based on the Active U-Datalog language, and
extends it with annotated logic and amalgamation concepts. We model the sources
of information and the mediator (also called supervisor) as Active U-Datalog
deductive databases, thus modeling queries, transactions, and active rules,
interpreted according to the PARK semantics. By using active rules, the system
can efficiently perform update propagation among different databases. The
result is a logical environment, integrating active and deductive rules, to
perform queries and update propagation in an heterogeneous mediated framework.Comment: Other Keywords: Deductive databases; Heterogeneous databases; Active
rules; Update
Context interchange : new features and formalisms for the intelligent integration of information
Cover title.Includes bibliographical references (p. 22-24).Supported in part by the National Financial Services Research Center (IFSRC), the PROductivity From Information Technology (PROFIT) project at MIT, ARPA, and UASF/Rome Laboratory. F30602-93-C-0160Cheng Hian Goh ... [et al.]
Semantic interoperability through context interchange : representing and reasoning about data conflicts in heterogeneous and autonomous systems
Cover title.Includes bibliographical references (p. 24-25).Supported in part by ARPA, International Financial Services Research Center (IFSRC), PROductivity From Information Technology (PROFIT), National University of Singapore, and USAF/Rome Laboratory. F30602-93-C-0160Cheng Hian Goh, Stuart E. Madnick, Michael D. Siegel
Scaling Heterogeneous Databases and the Design of Disco
Access to large numbers of data sources introduces new problems for users of heterogeneous distributed databases. End users and application programmers must deal with unavailable data sources. Database administrators must deal with incorporating new sources into the model. Database implementors must deal with the translation of queries between query languages and schemas. The Distributed Information Search COmponent (Disco) 1 addresses these problems. Query processing semantics are developed to process queries over data sources which do not return answers. Data modeling techniques manage connections to data sources. The component interface to data sources flexibly handles different query languages and translates queries. This paper describes (a) the distributed mediator architecture ofDisco, (b) its query processing semantics, (c) the data model and its modeling of data source connections, and (d) the interface to underlying data sources. 1
A Logical Approach to Cooperative Information Systems
``Cooperative information system management'' refers to the capacity of several computing systems to communicate and cooperate in order to acquire, store, manage, query data and knowledge. Current solutions to the problem of cooperative information management are still far from being satisfactory. In particular, they lack the ability to fully model cooperation among heterogeneous systems according to a declarative style. The use of a logical approach to model all aspects of cooperation seems very promising. In this paper, we de®ne a logical language able to support cooperative queries, updates and update propagation. We model the sources of information as deductive databases, sharing the same logical language to ex- press queries and updates, but containing independent, even if possibly related, data. We use the Obj-U-Datalog (E. Bertino, G. Guerrini, D. Montesi, Toward deductive object data- bases, Theory and Practice of Object Systems 1 (1) (1995) 19±39) language to model queries and transactions in each source of data. Such language is then extended to deal with active rules in the style of Active-U-Datalog (E. Bertino, B. Catania, V. Gervasi, A. Ra aet a, Ac- tive-U-Datalog: Integrating active rules in a logical update language, in: B. Freitag, H. Decker, M. Kifer, A. Voronkov (Eds.), LBCS 1472: Transactions and Change in Login Databases, 1998, pp. 106±132), interpreted according to the PARK semantics proposed in G. Gottlob, G. Moerkotte, V.S. Subrahmanian (The PARK semantics for active rules, in: P.M.G. Apers, M. Bouzeghoub, G. Gardarin (Eds.), LNCS 1057: Proceedings of the Fifth International Con- ference on Extending Database Technology, 1996, pp. 35±55). By using active rules, a system can e ciently perform update propagation among di erent databases. The result is a logical environment, integrating active and deductive rules, to perform update propagation in a cooperative framework
Improving National and Homeland Security through a proposed Laboratory for nformation Globalization and Harmonization Technologies (LIGHT)
A recent National Research Council study found that: "Although there are many private and public databases that
contain information potentially relevant to counter terrorism programs, they lack the necessary context definitions
(i.e., metadata) and access tools to enable interoperation with other databases and the extraction of meaningful and
timely information" [NRC02, p.304, emphasis added] That sentence succinctly describes the objectives of this
project. Improved access and use of information are essential to better identify and anticipate threats, protect
against and respond to threats, and enhance national and homeland security (NHS), as well as other national
priority areas, such as Economic Prosperity and a Vibrant Civil Society (ECS) and Advances in Science and
Engineering (ASE). This project focuses on the creation and contributions of a Laboratory for Information
Globalization and Harmonization Technologies (LIGHT) with two interrelated goals:
(1) Theory and Technologies: To research, design, develop, test, and implement theory and technologies for
improving the reliability, quality, and responsiveness of automated mechanisms for reasoning and resolving semantic
differences that hinder the rapid and effective integration (int) of systems and data (dmc) across multiple
autonomous sources, and the use of that information by public and private agencies involved in national and
homeland security and the other national priority areas involving complex and interdependent social systems (soc).
This work builds on our research on the COntext INterchange (COIN) project, which focused on the integration of
diverse distributed heterogeneous information sources using ontologies, databases, context mediation algorithms,
and wrapper technologies to overcome information representational conflicts. The COIN approach makes it
substantially easier and more transparent for individual receivers (e.g., applications, users) to access and exploit
distributed sources. Receivers specify their desired context to reduce ambiguities in the interpretation of information
coming from heterogeneous sources. This approach significantly reduces the overhead involved in the integration of
multiple sources, improves data quality, increases the speed of integration, and simplifies maintenance in an
environment of changing source and receiver context - which will lead to an effective and novel distributed
information grid infrastructure. This research also builds on our Global System for Sustainable Development
(GSSD), an Internet platform for information generation, provision, and integration of multiple domains, regions,
languages, and epistemologies relevant to international relations and national security.
(2) National Priority Studies: To experiment with and test the developed theory and technologies on practical
problems of data integration in national priority areas. Particular focus will be on national and homeland security,
including data sources about conflict and war, modes of instability and threat, international and regional
demographic, economic, and military statistics, money flows, and contextualizing terrorism defense and response.
Although LIGHT will leverage the results of our successful prior research projects, this will be the first research
effort to simultaneously and effectively address ontological and temporal information conflicts as well as
dramatically enhance information quality. Addressing problems of national priorities in such rapidly changing
complex environments requires extraction of observations from disparate sources, using different interpretations, at
different points in times, for different purposes, with different biases, and for a wide range of different uses and
users. This research will focus on integrating information both over individual domains and across multiple domains.
Another innovation is the concept and implementation of Collaborative Domain Spaces (CDS), within which
applications in a common domain can share, analyze, modify, and develop information. Applications also can span
multiple domains via Linked CDSs. The PIs have considerable experience with these research areas and the
organization and management of such large scale international and diverse research projects.
The PIs come from three different Schools at MIT: Management, Engineering, and Humanities, Arts & Social
Sciences. The faculty and graduate students come from about a dozen nationalities and diverse ethnic, racial, and
religious backgrounds. The currently identified external collaborators come from over 20 different organizations and
many different countries, industrial as well as developing. Specific efforts are proposed to engage even more
women, underrepresented minorities, and persons with disabilities.
The anticipated results apply to any complex domain that relies on heterogeneous distributed data to address and
resolve compelling problems. This initiative is supported by international collaborators from (a) scientific and
research institutions, (b) business and industry, and (c) national and international agencies. Research products
include: a System for Harmonized Information Processing (SHIP), a software platform, and diverse applications in
research and education which are anticipated to significantly impact the way complex organizations, and society in
general, understand and manage critical challenges in NHS, ECS, and ASE
Improving National and Homeland Security through a proposed Laboratory for Information Globalization and Harmonization Technologies (LIGHT)
A recent National Research Council study found that: "Although there are many private and public databases that
contain information potentially relevant to counter terrorism programs, they lack the necessary context definitions
(i.e., metadata) and access tools to enable interoperation with other databases and the extraction of meaningful and
timely information" [NRC02, p.304, emphasis added] That sentence succinctly describes the objectives of this
project. Improved access and use of information are essential to better identify and anticipate threats, protect
against and respond to threats, and enhance national and homeland security (NHS), as well as other national
priority areas, such as Economic Prosperity and a Vibrant Civil Society (ECS) and Advances in Science and
Engineering (ASE). This project focuses on the creation and contributions of a Laboratory for Information
Globalization and Harmonization Technologies (LIGHT) with two interrelated goals:
(1) Theory and Technologies: To research, design, develop, test, and implement theory and technologies for
improving the reliability, quality, and responsiveness of automated mechanisms for reasoning and resolving semantic
differences that hinder the rapid and effective integration (int) of systems and data (dmc) across multiple
autonomous sources, and the use of that information by public and private agencies involved in national and
homeland security and the other national priority areas involving complex and interdependent social systems (soc).
This work builds on our research on the COntext INterchange (COIN) project, which focused on the integration
of diverse distributed heterogeneous information sources using ontologies, databases, context mediation algorithms,
and wrapper technologies to overcome information representational conflicts. The COIN approach makes it
substantially easier and more transparent for individual receivers (e.g., applications, users) to access and exploit
distributed sources. Receivers specify their desired context to reduce ambiguities in the interpretation of information
coming from heterogeneous sources. This approach significantly reduces the overhead involved in the integration of
multiple sources, improves data quality, increases the speed of integration, and simplifies maintenance in an
environment of changing source and receiver context - which will lead to an effective and novel distributed
information grid infrastructure. This research also builds on our Global System for Sustainable Development
(GSSD), an Internet platform for information generation, provision, and integration of multiple domains, regions,
languages, and epistemologies relevant to international relations and national security.
(2) National Priority Studies: To experiment with and test the developed theory and technologies on practical
problems of data integration in national priority areas. Particular focus will be on national and homeland security,
including data sources about conflict and war, modes of instability and threat, international and regional
demographic, economic, and military statistics, money flows, and contextualizing terrorism defense and response.
Although LIGHT will leverage the results of our successful prior research projects, this will be the first research
effort to simultaneously and effectively address ontological and temporal information conflicts as well as
dramatically enhance information quality. Addressing problems of national priorities in such rapidly changing
complex environments requires extraction of observations from disparate sources, using different interpretations, at
different points in times, for different purposes, with different biases, and for a wide range of different uses and
users. This research will focus on integrating information both over individual domains and across multiple domains.
Another innovation is the concept and implementation of Collaborative Domain Spaces (CDS), within which
applications in a common domain can share, analyze, modify, and develop information. Applications also can span
multiple domains via Linked CDSs. The PIs have considerable experience with these research areas and the
organization and management of such large scale international and diverse research projects.
The PIs come from three different Schools at MIT: Management, Engineering, and Humanities, Arts & Social
Sciences. The faculty and graduate students come from about a dozen nationalities and diverse ethnic, racial, and
religious backgrounds. The currently identified external collaborators come from over 20 different organizations
and many different countries, industrial as well as developing. Specific efforts are proposed to engage even more
women, underrepresented minorities, and persons with disabilities.
The anticipated results apply to any complex domain that relies on heterogeneous distributed data to address and
resolve compelling problems. This initiative is supported by international collaborators from (a) scientific and
research institutions, (b) business and industry, and (c) national and international agencies. Research products
include: a System for Harmonized Information Processing (SHIP), a software platform, and diverse applications in
research and education which are anticipated to significantly impact the way complex organizations, and society in
general, understand and manage critical challenges in NHS, ECS, and ASE
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