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Controlled English for Effective Communication during Coalition Operations
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In: DTIC (2013)
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| 2 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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| 3 |
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
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In: DTIC (2013)
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| 4 |
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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| 5 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 6 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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| 7 |
Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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| 8 |
Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
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In: DTIC (2009)
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| 9 |
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
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In: DTIC (2009)
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| 10 |
Applying A Formal Language of Command and Control For Interoperability Between Systems
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In: DTIC (2008)
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Abstract:
Battle Management Language (BML) is being developed as an open standard that unambiguously specifies Command and Control information, including orders and reports built upon precise representations of tasks. BML is both a methodology and a language specification, based on doctrine and consistent with Coalition standards. Recent work has concentrated on leveraging standard data model semantics (particularly the Joint Consultation, Command and Control Information Exchange Data Model ? JC3IDM) for a Simulation Interoperability Standards Organization (SISO) Coalition BML (C-BML) specification. While current BML work has organized task representations around the Command and Control Information Exchange Data Model and the 5 Ws (WHO, WHAT, WHERE, WHEN and WHY), the grammar is implicit rather than explicit. Development of a formal grammar is necessary for the specification of a complete language. Formalizing BML by defining its grammar follows the conventions determined by the theory of Linguistics. Initially, it must be determined which type of grammar is to be used. The Chomsky hierarchy specifies that grammars can be Type 0 (unrestricted grammars), Type 1 (context-sensitive grammars), Type 2 (context-free grammars) or Type 3 (regular grammars). While humans sometimes use constructions that may best be described by a context-sensitive grammar (type 1), automated processing is best supported by a more constrained one (Type 2 or Type 3). Our analysis indicates that a Type 2 grammar best fits the requirements for a BML. To specify a BML grammar (our implementation is the C2 Lexical Functional Grammar - C2LG), rules are developed to determine how to create valid BML sentences that describe military tasks, requests and reports. ; Presented at the AFCEA-GMU C4I Center Symposium "Critical Issues In C4I" held at George Mason University, Fairfax, Virginia Campus, on 20-21 May 2008. The original document contains color images.
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Keyword:
*BML(BATTLE MANAGEMENT LANGUAGE); *COMMAND AND CONTROL SYSTEMS; *INTEROPERABILITY; *LINGUISTICS; CCSIL(COMMAND AND CONTROL SIMULATION INTERFACE LANGUAGE); Command; Control and Communications Systems; DOCTRINE; GRAMMARS; HIERARCHIES; JC3IEDM(COMMAND AND CONTROL INFORMATION EXCHANGE DATA MODEL); Linguistics; METHODOLOGY; Mfg & Industrial Eng & Control of Product Sys; MODELS; ROBOTICS; SEMANTICS; SYMPOSIA; THEORY
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA503034
http://www.dtic.mil/docs/citations/ADA503034
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| 11 |
Odds of Successful Transfer of Low-level Concepts: A Key Metric for Bidirectional Speech-to-Speech Machine Translation in DARPA's TRANSTAC Program
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In: DTIC (2008)
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| 14 |
A Methodology to Predict Specific Communication Themes from Overall Communication Volume for Individuals and Teams
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In: DTIC (2006)
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| 16 |
Deep Versus Broad Methods for Automatic Extraction of Intelligence Information From Text
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In: DTIC (2005)
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| 17 |
Quality of Service-Driven Requirements Analyses for Component Composition: A Two-Level Grammar++ Approach
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In: DTIC (2005)
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| 19 |
Inferring Parts of Speech for Lexical Mappings via the Cyc KB
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In: DTIC (2004)
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| 20 |
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
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In: DTIC AND NTIS (2004)
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