284 research outputs found
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
Financial Information Mediation: A Case Study of Standards Integration for Electronic Bill Presentment and Payment Using the COIN Mediation Technology
Each player in the financial industry, each bank, stock exchange, government agency, or insurance company operates its own financial information system or systems.
By its very nature, financial information, like the money that it represents, changes hands. Therefore the interoperation of financial information systems is the cornerstone of the financial services they support. E-services frameworks such as web services are an unprecedented opportunity for the flexible interoperation of financial systems. Naturally the critical economic role and the complexity of financial information led to the development of various standards. Yet standards alone are not the panacea: different groups of players use different standards or different interpretations of the same standard.
We believe that the solution lies in the convergence of flexible E-services such as web-services and semantically rich meta-data as promised by the semantic Web; then a mediation architecture can be used for the documentation, identification, and resolution of semantic conflicts arising from the interoperation of heterogeneous financial services.
In this paper we illustrate the nature of the problem in the Electronic Bill Presentment and Payment (EBPP) industry and the viability of the solution we propose. We describe and analyze the integration of services using four different formats: the IFX, OFX and SWIFT standards, and an example proprietary format. To accomplish this integration we use the COntext INterchange (COIN) framework. The COIN architecture leverages a model of sources and receivers’ contexts in reference to a rich domain model or ontology for the description and resolution of semantic heterogeneity.Singapore-MIT Alliance (SMA
Using semantic values to facilitate interoperability among heterogeneous information systems
Includes bibliographical references (p. 30-32).Supported in part by the NSF. IRI-90-2189 Supported in part by the International Financial Services Research Center at MIT.Michael Siegal [sic], Edward Sciore, Arnon Rosenthal
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
Programming the Web : design and implementation of a multidatabase browser
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.Includes bibliographical references (p. 56-58).by Marta Jakóbisiak.M.Eng
Context knowledge representation and reasoning in the context interchange system
"October, 1999."Includes bibliographical references (p. 13-14).Stephane Bressan ... [et al.
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