Institution
Mitre Corporation
Company•Bedford, Massachusetts, United States•
About: Mitre Corporation is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Air traffic control & National Airspace System. The organization has 4884 authors who have published 6053 publications receiving 124808 citations. The organization is also known as: Mitre & MITRE.
Papers published on a yearly basis
Papers
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01 Nov 2012TL;DR: The SPAN project is an open source implementation of a generalized Mobile Ad-Hoc Network framework to bring dynamic mesh networking to smart phones and to explore the concepts of Off-Grid communications.
Abstract: The SPAN project is an open source implementation of a generalized Mobile Ad-Hoc Network framework. The project's goals are to bring dynamic mesh networking to smart phones and to explore the concepts of Off-Grid communications.
45 citations
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TL;DR: The focus of attention is on the technologies for protecting SOAP messages and communicating security-relevant information with Web services, XML security, WS-Security, and SAML.
45 citations
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TL;DR: It is shown how an annotation-based NLP architecture implementing this idea can be realised and that it successfully performs on a corpus of authentic learner answers to reading comprehension questions, and a general exchange format is defined for such exercise data.
Abstract: Contextualised, meaning-based interaction in the foreign language is widely recognised as crucial for second language acquisition. Correspondingly, current exercises in foreign language teaching generally require students to manipulate both form and meaning. For intelligent language tutoring systems to support such activities, they thus must be able to evaluate the appropriateness of the meaning of a learner response for a given exercise. We discuss such a content-assessment approach, focusing on reading comprehension exercises. We pursue the idea that a range of simultaneously available representations at different levels of complexity and linguistic abstraction provide a good empirical basis for content assessment. We show how an annotation-based NLP architecture implementing this idea can be realised and that it successfully performs on a corpus of authentic learner answers to reading comprehension questions. To support comparison and sustainable development on content assessment, we also define a general exchange format for such exercise data.
45 citations
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TL;DR: Fundamental notions in computing exception propagation are discussed and an analysis tool is described that has proved to be effective in detecting inconsistencies in the exception‐handling code of Ada applications.
Abstract: Since the signature of an Ada subprogram does not specify the set of exceptions that the subprogram can propagate, computing the set of exceptions that a subprogram may encounter is not a trivial task. This is a source of error in large Ada systems: for example, a subprogram may not be prepared to handle an exception propagated from another subprogram several layers lower in the call-tree. In a large system, the number of paths in exceptional processing is so great that it is unlikely that testing will uncover all errors in inter-procedural exception handling. Nor are compilers or code inspections likely to locate all such errors. Exception handling is an area where static analysis has a high potential payoff for systems with high reliability requirements. We discuss fundamental notions in computing exception propagation and describe an analysis tool that has proved to be effective in detecting inconsistencies in the exception-handling code of Ada applications.
45 citations
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01 Dec 2004TL;DR: To make the greatest impact, research must go beyond after-the-fact semantic integration among existing systems, to actively guiding semantic choices in new ontologies and systems - e.g., what concepts should be used as descriptive vocabularies for existing data, or as definitions for newly built systems.
Abstract: For meaningful information exchange or integration, providers and consumers need compatible semantics between source and target systems. It is widely recognized that achieving this semantic integration is very costly. Nearly all the published research concerns how system integrators can discover and exploit semantic knowledge in order to better share data among the systems they already have. This research is very important, but to make the greatest impact, we must go beyond after-the-fact semantic integration among existing systems, to actively guiding semantic choices in new ontologies and systems - e.g., what concepts should be used as descriptive vocabularies for existing data, or as definitions for newly built systems. The goal is to ease data sharing for both new and old systems, to ensure that needed data is actually collected, and to maximize over time the business value of an enterprise's information systems.
44 citations
Authors
Showing all 4896 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sushil Jajodia | 101 | 664 | 35556 |
Myles R. Allen | 82 | 295 | 32668 |
Barbara Liskov | 76 | 204 | 25026 |
Alfred D. Steinberg | 74 | 295 | 20974 |
Peter T. Cummings | 69 | 521 | 18942 |
Vincent H. Crespi | 63 | 287 | 20347 |
Michael J. Pazzani | 62 | 183 | 28036 |
David Goldhaber-Gordon | 58 | 192 | 15709 |
Yeshaiahu Fainman | 57 | 648 | 14661 |
Jonathan Anderson | 57 | 195 | 10349 |
Limsoon Wong | 55 | 367 | 13524 |
Chris Clifton | 54 | 160 | 11501 |
Paul Ward | 52 | 408 | 12400 |
Richard M. Fujimoto | 52 | 290 | 13584 |
Bhavani Thuraisingham | 52 | 563 | 10562 |