Last edited by Zoloshura
Friday, July 31, 2020 | History

4 edition of Knowledge representation architecture for context interchannge mediation found in the catalog.

Knowledge representation architecture for context interchannge mediation

fixed income securities investment examples

by Allen Moulton

  • 243 Want to read
  • 29 Currently reading

Published by MIT Sloan School of Management in [Cambridge, Mass.] .
Written in English

    Subjects:
  • Electronic commerce.

  • About the Edition

    We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator"s reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver applications obtain the data they need in the form they need it without imposing changes on sources. The KR architecture includes: 1) data models for each source and receiver, 2) subject domain ontologies, containing abstract subject matter conceptualizations that would be known to experienced practitioners in the industry, and 3) context models for each source and receiver that explain how each source or receiver data model implements the abstract concepts from a subject domain ontology. Examples drawn from the fixed income securities industry illustrate problems and solutions enabled by the proposed architecture.

    Edition Notes

    StatementAllen Moulton, Stuart E. Madnick [and] Michael D. Siegel.
    Series[email protected] working paper -- 109, Sloan working paper -- 4184-01, Working paper (Sloan School of Management) -- 4184.
    ContributionsMadnick, Stuart E., Siegel, Michael D., Sloan School of Management., Center for [email protected]
    The Physical Object
    Pagination[6] leaves :
    ID Numbers
    Open LibraryOL17936562M
    OCLC/WorldCa50910263

    representation, reasoning, and interchange in the context of distributed, (partially) open, heterogeneous environments, such as the semantic Web, intelligent multiagent systems, event-driven architectures, and service-oriented computing. In response to the call for papers, we received a total of 52 submissions, out of which 7 were recommended. The data integration architecture represents the workflow of data from multiple systems of record (SOR) through a series of transformations used to create consistent, conformed, comprehensive, clean, and current information for business analysis and decision making. Although an enterprise may just start with an enterprise data warehouse (EDW) to enable its BI applications, the data integration.

    knowledge and reasoning about semantic heterogeneity. Context Mediator The Context Mediator is the heart of the COIN project. Mediation is the process of rewriting queries posed in the receiver's context into a set of mediated queries where all actual conflicts are explicitly resolved and the result is reformulated in the receiver context. Context Mediation is a field of research that is concerned with the interchange of information across different environments, which provides a vehicle to bridge semantic gaps among disparate entities. Knowledge Discovery is concerned with the extraction of actionable information from large databases. A challenge that has received relatively little attention is knowledge discovery in a highly.

    The Context Interchange Project presents a unique approach to the problem of semantic conflict resolution among multiple heterogeneous data sources. The system presents a semantically meaningful view of the data to the receivers (e.g. user applications) for all the available data sources. The semantic conflicts are automatically detected and reconciled by a Context Mediator using the context. 2 Context Interchange by Example Before a formal definition is given, we call implicit metadata knowledge such as the currency for price context and the history of time varying metadata temporal context. The temporal context in the previous example is quite simple. To illustrate the COIN.


Share this book
You might also like
EPISTLES FROM A MODERN CHRISTIAN

EPISTLES FROM A MODERN CHRISTIAN

Illegitimi non carborundum

Illegitimi non carborundum

Twice lost

Twice lost

mormaire

mormaire

Mencken and Sara

Mencken and Sara

problem of evil

problem of evil

Image intensifiers and applications

Image intensifiers and applications

colossus of Battersea

colossus of Battersea

A study of horizontal two-phase flow with chemical reaction in rifled tubes.

A study of horizontal two-phase flow with chemical reaction in rifled tubes.

Working classes

Working classes

Teaching Transcultural Care

Teaching Transcultural Care

European historical statistics 1750-1970

European historical statistics 1750-1970

Rojita y Sly =

Rojita y Sly =

Knowledge representation architecture for context interchannge mediation by Allen Moulton Download PDF EPUB FB2

We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic :   Abstract.

We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating Cited by: Knowledge representation architecture for context interchannge mediation: fixed income securities investment examples.

by Allen Moulton,Sloan School of Management,Center for [email protected],Stuart E Madnick,Michael D Siegel. Thanks for Sharing. You submitted the following rating and review. We'll publish them on our site once we've reviewed them.

We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We examine a knowledge representation architecture to support context interchange mediation.

For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We examine a knowledge representation architecture to support context interchange mediation.

For autonomous receivers and sources sharing a common subject domain, the mediator’s reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity.

Knowledge Representation Architecture for Context Interchange Mediation: Fixed Income Securities Investment Examples () Cached. {Knowledge Representation Architecture for Context Interchange Mediation: Fixed Income Securities Investment Examples}, booktitle = {Proceedings of the First International Workshop on Electronic.

Downloadable. We examine semantic interoperability problems in the fixed income securities industry and propose a knowledge representation architecture for context interchange mediation to support dynamic integration of autonomous database, web, and procedural sources of information.

For sources and receivers sharing a common subject domain, the mediator's reasoning engine can devise query. Context Interchange Mediation: Fixed Income Securities Investment Examples Paper Allen Moulton Stuart E. Madnick Michael D. Siegel August Abstract We examine a knowledge representation architecture to support context interchange mediation.

For autonomous receivers and sources sharing a common subject domain. Abstract. Using securities industry examples, the context interchange mediation knowledge architecture is applied to interoperability problems for enumerated data types, such as codes and other symbols used to represent conceptual distinctions.

Knowledge Representation Architecture for Context Interchange Mediation: Fixed Income Securities Investment Examples Allen Moulton, Stuart Madnick, Michael Siegel Sloan WP # May, CISL WP # MIT Sloan School of Management 50 Memorial Drive.

We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator’s reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity.

Receiver applications obtain the data they. Abstract. We examine a knowledge representation architecture to support context interchange mediation.

For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating. Downloadable. We examine a knowledge representation architecture to support context interchange mediation.

For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver applications obtain the data they need in the form they need it without.

Abstract. We examine semantic interoperability problems in the fixed income securities industry and propose a knowledge representation architecture for context interchange mediation to support dynamic integration of autonomous database, web, and procedural sources of information.

Allen Moulton et al.: Knowledge Representation Architecture for Context Interchange Mediation: Fixed Income Securities Investment Examples.

() /DEXA /DEXA Knowledge Representation Architecture for Context Interchange Mediation: Fixed Income Securities Investment Examples. 3 DEXA Workshop DEXA Workshop 50. Knowledge representation architecture for context interchannge mediation: fixed income securities investment examples.

By Allen. Moulton, Stuart E. Madnick and Michael D. Siegel. Abstract. Title from cover."October Topics: Electronic commerce.

t-specificfunctionalor equivalencerelationships tie elementsof the conceptual model to ingschemes. More and more manufacturing companies are facing challenges in knowledge refining and reusing in stage of product development.

To resolve this problem and make the knowledge convenient for acquisition, machine-understandable and human-understandable, this paper proposes a framework of semantic hyper-graph-based knowledge representation to support the knowledge. # Moulton, Allen, Stuart E.

Madnick, and Michael D. Siegel:Knowledge Representation Architecture for Context Interchange Mediation: Fixed Income Securities Investment Examples, # Tu, Steven Y., and Stuart E.

Madnick: Incorporating Generalized Quantifiers into Description Logic to Improve Source Selection. and Knowledge Representation: Language for Knowledge and Knowledge for Language, (AAAI Press/The MIT Press, ), is a Fellow of AAAI, and has served as .representation into an autonomously specified context model and thence into a general domain ontology allows successful interoperability in several ways depending on how each context is explained to the mediator.

1. Introduction The context interchange mediation architecture in [12] can be applied to the resolution of semantic differences in.Knowledge Representation Architecture for Context Interchange Mediation: Fixed Income Securities Investment Examples MIT Sloan Working Paper No.

Number of pages: 6 .