Implementation Recommendations for MOSAIC: A Workflow Architecture for Analytic Enrichment. Analysis and Recommendations for the Implementation of a Cohesive Method for Orchestrating Analytics in a Distributed Model

Abstract

This is a companion document to MOSAIC: A Workflow Architecture for Analytic Enrichment that describes the current need for integration of document analytics and a general approach to solving this problem. This document directly addresses the implementation issues of the candidate architecture, with specific frameworks for the different architectural subcomponents analyzed and compared. Ultimately, recommendations are offered. The goal of this effort is to develop a Natural Language Processing architecture to be used by subject matter experts who are researchers and engineers, termed domain expert engineers here. This architecture, titled MOSAIC, is intended to be shared across multiple projects and hosted in the sponsor s environments and is intended to be compatible with and facilitate a streaming document flow as opposed to execution on a static batch of documents, which would require an entire corpus be present before processing could commence.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2011
Accession Number
ADA586570

Entities

People

  • Joseph Jubinski
  • Nathan Giles
  • Ransom Winder

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Coding
  • Computer Program Documentation
  • Computer Programming
  • Computer Programs
  • Computers
  • Debugging
  • Graphical User Interface
  • Human-Machine Interaction
  • Information Processing
  • Language
  • Named Entity Recognition
  • Natural Language Processing
  • Natural Languages
  • Object-Oriented Database Management Systems
  • Ontologies
  • User Interface
  • Web Service

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval