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Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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Expanding the Toolkit and Resource Environment to Assist Translation (TREAT) and Its User Base
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In: DTIC (2011)
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BASE
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Transfer Learning in Integrated Cognitive Systems
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In: DTIC (2010)
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TIACRITIS System and Textbook: Learning Intelligence Analysis through Practice
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In: DTIC (2010)
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Crosslingual Audio Information Retrieval Development
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In: DTIC (2009)
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BASE
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Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
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In: DTIC (2009)
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Laboratory for Computational Cultural Dynamics
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In: DTIC (2008)
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Trust in Security-Policy Enforcement Mechanisms
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In: DTIC (2006)
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Breaking the Resource Bottleneck for Multilingual Parsing
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In: DTIC AND NTIS (2005)
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BASE
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DARPA Agent Markup Language (DAML) Unified Modeling Language (UML)-Based Ontology Toolset (UBOT)
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In: DTIC (2005)
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BASE
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Using OWL in a Pervasive Computing Broker
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In: DTIC AND NTIS (2005)
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BASE
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Plan Critiquing and Look-Ahead Constraint Reasoning for Active Templates
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In: DTIC AND NTIS (2004)
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BASE
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Disparate Ontology Understanding, Brokering, Linking, and Elaboration (DOUBLE)
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In: DTIC AND NTIS (2004)
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BASE
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Application of Spoken and Natural Language Technologies to Lotus Notes Based Messaging and Communication
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In: DTIC (2002)
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Text Detection and Translation from Natural Scenes
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In: DTIC (2001)
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Advanced Search Technologies for Unfamiliar Metadata
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In: DTIC (2001)
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A Multimedia-Based System for Foreign Language Listening and Reading Comprehension.
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In: DTIC AND NTIS (1999)
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Cross Model Access in the Multi-Lingual, Multi-Model Database Management System
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In: DTIC AND NTIS (1997)
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Abstract:
Relational, hierarchical, network, functional, and object oriented databases support its corresponding query language, SQL, DL/I, CODASYL-DML, DAPLEX, and OO-DML, respectively. However, each database type may be accessed only by its own language. The goal of M2DBMS is to provide a heterogeneous environment in which any supported database is accessible by any supported query language. This is known as cross model access capability. In this thesis, relational to object oriented database cross model access is successfully implemented for a test database. Data from the object oriented database EWIROODB is accessed and retrieved, using an SQL query from the relational database EWIROODB. One problem is that the two interfaces (object oriented and relational) create catalog files with different formation, which makes the cross model access impossible, initially. In this thesis the relational created catalog file is used, and the cross model access capability is achieved. The object oriented catalog file must be identical with the relational one. Therefore, work yet to be done is to write a program that automatically reformats the object oriented catalog file into an equivalent relational catalog file.
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Keyword:
*COMPATIBILITY; *DATA BASES; *DATA MANAGEMENT; Computer Programming and Software; COMPUTER PROGRAMS; DISTRIBUTED DATA PROCESSING; INFORMATION EXCHANGE; INTEROPERABILITY; MACHINE TRANSLATION; MAN COMPUTER INTERFACE; OBJECT ORIENTED PROGRAMMING; RELATIONAL DATA BASES; SOFTWARE ENGINEERING; SQL(STRUCTURED QUERY LANGUAGE); THESES
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA331937 http://www.dtic.mil/docs/citations/ADA331937
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The Voice-Activated Multilingual Interview System.
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In: DTIC AND NTIS (1997)
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