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Hits 61 – 80 of 122

61
The European Server for Ionospheric Specification and Forecasting: Final Results from DIAS Project
In: DTIC (2006)
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62
Deep Versus Broad Methods for Automatic Extraction of Intelligence Information From Text
In: DTIC (2005)
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63
Automated Story Capture From Conversational Speech
In: DTIC (2005)
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64
LOM: A Lexicon-based Ontology Mapping Tool
In: DTIC (2004)
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65
Discriminative Slot Detection Using Kernel Methods
In: DTIC (2004)
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66
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
In: DTIC AND NTIS (2004)
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67
Robustness Versus Fidelity in Natural Language Understanding
In: DTIC (2004)
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68
HITIQA: A Data Driven Approach to Interactive Analytical Question Answering
In: DTIC (2004)
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69
From Unstructured to Structured Information in Military Intelligence - Some Steps to Improve Information Fusion
In: DTIC (2004)
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70
The Case for Using Semantic Nets as a Convergence Format for Symbolic Information Fusion
In: DTIC AND NTIS (2004)
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71
Electronic Information Management and Intellectual Property Rights
In: DTIC AND NTIS (2004)
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72
Collective Segmentation and Labeling of Distant Entities in Information Extraction
In: DTIC AND NTIS (2004)
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73
Ontological Approach to Military Knowledge Modeling and Management
In: DTIC AND NTIS (2004)
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74
Information Engineering in Support of Multilateral Joint Operational Interoperability
In: DTIC (2004)
Abstract: In the information age era, there never has been a better time to reflect upon the fact that information in itself is something that has to be engineered. Since command and control is a cognitive process by which the commander gains situation awareness and proceeds to deliberated and coordinated action, one has to ask himself how raw data turns into actual information, and eventually knowledge that will trigger human understanding. Furthermore, the question arises as to how C4ISR system of systems can support this transformation process. Of course, this is no magic. Information systems do the only thing they are good at: Working on large amounts of data at incredible speed. This is where the human fails. However, data must be aggregated in such a way that it results in information that conveys operational meaning to the commander. This is where information technologies alone fail, miserably. The resulting information must capture the semantics of the commander's domain of interest, and this must exist prior the automated data transformation process. The exercise of capturing the semantics of a certain business domain (the nouns, verbs, adjectives, etc.) along with its usage guidance (business rules) can be referred to as information engineering or ontology engineering. Conducting information engineering activities comes in support of the definition of ontologies. By definition, an ontology is an explicit formal specification of how to represent the objects, concepts and other entities that are assumed to exist in some area of interest and the relationships that hold among them. ; The original document contains color images. Presented at the Command and Control Research and Technology Symposium (2004 CCRTS) held in San Diego, CA on 15-17 Jun 2004. Published in the Proceedings of the Command and Control Research and Technology Symposium (2004 CCRTS) Jun 2004.
Keyword: *GCCS(GLOBAL COMMAND AND CONTROL SYSTEM); *INFORMATION EXCHANGE REQUIREMENTS; *INTEROPERABILITY; *ONTOLOGY; *SEMANTICS; *SPECIFICATIONS; CANADA; COGNITION; COMPUTATIONAL LINGUISTICS; FOREIGN REPORTS; INFORMATION PROCESSING; Information Science; Linguistics; METADATA; Mfg & Industrial Eng & Control of Product Sys; MIP(MULTILATERAL INTEROPERABILITY PROGRAMME); Operations Research; RAW DATA; SITUATIONAL AWARENESS; SYMPOSIA
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA466067
http://www.dtic.mil/docs/citations/ADA466067
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75
A Noisy-Channel Approach to Question Answering
In: DTIC (2003)
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76
Utterance Classification in Auto Tutor
In: DTIC (2003)
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77
Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation
In: DTIC (2003)
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78
The Benefit of Ontologies for Interoperability of CCIS. (Easy, Quick and Cheap Solutions are Impossible, if Semantics of CCIS are Affected.)
In: DTIC (2003)
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79
UMass at TREC 2003: HARD and QA
In: DTIC (2003)
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80
HowtogetaChineseName(Entity): Segmentation and Combination Issues
In: DTIC (2003)
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