Very interesting, John, to observe the variety of knowledge management
techniques in the offing.
Henry
"John J. Deneen" wrote:
> Interesting proposals to think about, discuss, and use as a benchmark
> for OHS/DKR development..
>
> DISCOVERY MACHINE, INC.
> 265 Dogwood Ridge Road
> Montgomery, PA 17752
> Phone: (570) 547-6774
> PI: Todd Griffith
> Topic#: DARPA 00-013
> http://www.sbirsttr.com/SbirMisc/abs001DARPA.htm
>
> Title: Intelligent Adaptive Software Construction
>
> Abstract:
> The objective of this proposal is to show the feasibility of building a
> set of software tools enabling researchers (i.e. scientists, inventors,
> designers, planners, or investors) to represent multiple problem-solving
> strategies. These DiscoveryTools will allow researchers to quickly and
> cheaply automate discovery processes thereby increasing the productivity
> of R&D budgets. The tools will provide a graphical user interface for
> encoding the strategies (i.e. tasks, methods, and knowledge) required to
> solve specific problems, and will allow the users to "run" these
> strategies over sets of data. Most software tools attempt to retrieve or
> display knowledge from databases so that researchers can act on that
> knowledge. This research attempts to show that this can be done the
> other way around. Instead of supplying researchers with knowledge to
> solve problems, supply a program with strategies to act on the knowledge
> to which it has access. DiscoveryTools will allow researchers to specify
> multiple high-level strategies, each of which can be used to solve some
> set of problems. The tools assist researchers in explicating their
> problem-solving tasks as a hierarchy of methods and subtasks. In
> essence, DiscoveryTools will multiply expert researchers leaving more
> time and money available to pursue the most promising options.
>
> STOTTLER HENKE ASSOC., INC.
> 1660 S. Amphlett Blvd., Suite 350
> San Mateo, CA 94402
> Phone: (206) 545-1478
> PI: Ronald Braun
> Topic#: DARPA 00-012
> http://www.sbirsttr.com/SbirMisc/abs001DARPA.htm
>
> Title: Ontology-Based Information Extraction from Free-Form Text
>
> Abstract:
> We propose an innovative combination of machine learning techniques
> coupled with a novel end-to-end system architecture built around a
> shared domain ontology to permit ontology-based information extraction
> (IE) from free text. Our Ontology-Based IE (OBIE) system will
> significantly increase end-to-end recall for the IE task while
> maintaining or improving precision. OBIE will accomplish this by
> enabling interaction between different levels of the IE processing
> pipeline simultaneously through a shared ontology. IE components will be
> developed to demonstrate increases in recall permitted by the inclusion
> of hierarchical knowledge in their learning algorithms. Active learning
> and bootstrapping algorithms will be extended to automatically learn the
> ontology of a new domain, to assist in training the IE components, and
> to reduce the burden of annotation on the end-user. Performance metrics
> in a variety of system configurations will allow a characterization of
> performance gains enabled by the proposed architecture. Phase I research
> and development of a proof-of-concept limited prototype will demonstrate
> the feasibility and utility of OBIE's ontology-based IE capability and
> will lay the groundwork for its Phase II implementation.
>
> APTIMA, INC.
> 600 W. Cummings Park, Suite 3050
> Woburn, MA 01801
> Phone: (781) 935-3966
> PI: Steven Hess
> Topic#: NAVY 00-086
> http://www.sbirsttr.com/SbirMisc/abs001NAVY.htm
>
> Title: Metrics for Evaluation of Cognitive Architecture-Based
> Collaboration Tools
>
> Abstract:
> The practice of modern intelligence analysis is increasingly becoming a
> team effort, requiring distributed teams of experts, to collect, filter,
> and collaboratively fuse data into coherent responses to Requests for
> Information (RFI's). To quickly generate a team response, analysts must
> achieve a shared understanding of the problem and the best ways to
> assemble data for effective communication back to a consumer.
> Information Technology (IT) suited to the domain of intelligence
> analysis, will have to support new collaboration strategies that allow
> analysts to represent and share evolving understandings of the world,
> interact with data and link it to emerging arguments, and collaborate to
> combine related argument threads into a single response to consumers.
> The current proposal seeks to blend contemporary theories of team
> cognition with computational modeling techniques and evolving
> collaboration tools to prototype and assess an innovative solution that
> allows analysts to generate collaborative responses through the natural
> process of recognizing and critically evaluating the value of evidence
> to hypotheses about a situation. The resulting tool will help analysts
> focus on relevant data, help them organize data, and provide
> computational tools that insure coherence in final response and assess
> the impacts of evidence on dynamic team understanding. The results of
> the proposed work will be a prototype tool supporting collaborative
> argument construction through the natural process of critically
> evaluating the value of evidence to competing hypotheses about a
> situation. The applicability of our proposed tool can be easily extended
> beyond the targeted domain of intelligence analysis. At the end of Phase
> I we will have a functional demonstration of the tool, and will be well
> positioned to demonstrate the generality of our solution for other
> application domains, both military (e.g., military C2) and civilian
> (e.g., scientific collaboration, journalism).
>
> KNOWLEDGE ANALYSIS TECHNOLOGIES, LLC
> 4001 Discovery Drive Suite 390
> Boulder, CO 80303
> Phone: (303) 545-9092
> PI: Thomas K. Landauer, Ph.D.
> Topic#: NAVY 00-088
> http://www.sbirsttr.com/SbirMisc/abs001NAVY.htm
>
> Title: Dynamic SuperManuals with Latent Semantic Analysis
>
> Abstract:
> The object is to be able to design potentially order-of-magnitude better
> ways to dynamically customize information for given jobs and individual
> maintainers. This project will address three interrelated issues: (1)
> the optimum organization of maintenance-aiding information in text, (2)
> the presentation of the best information in the best order depending on
> the current knowledge and need of the user, and (3) the best handling of
> complex graphics under the constraint of low resolution, small-screen
> technology. In Phase I we propose three activities: (a) Review the
> literature for the last five years on design, usability, usefulness, and
> practical experience with systems for organizing information and for
> aiding and individualizing information finding for maintenance and
> related jobs,
> (b) Create partial prototypes or mock ups to demonstrate the design and
> intent of representative new features, functions, and enhancements based
> on the new computer text-understanding technology, Latent Semantic
> Analysis (LSA), coupled with the empirically proven design, functions
> and features of the SuperBook hypertext manual browser, (c) Propose a
> new overall design for a browser with LSA, enhanced dynamic information
> aids and advanced graphics functions to be prototyped and evaluated in
> Phase II. Maintenance of increasingly complex technological systems is a
> critical and difficult problem for defense, government and private
> sector organizations.
> Traditional print media and current on-line systems are not adequate.
> The expected outcome of this project is identification of the optimum
> organization and presentation of maintenance information in job-aiding,
> and design of potentially order-of-magnitude better ways to dynamically
> organize, present, and customize information for given jobs and
> individual maintainer levels of expertise. A successful technology of
> this kind will be the basis of a high revenue Internet-based service and
> licensing business, and will result in major cost savings and product
> improvements for a wide spectrum of large industries, from
> telecommunications to computer and network systems to airline
> operations.
>
> SENTAR, INC.
> 4900 University Square Suite 8
> Huntsville, AL 35816
> Phone: (256) 704-0863
> PI: Andrew Schooley
> Topic#: BMDO 00-010
> http://www.sbirsttr.com/SbirMisc/abs001BMDO.htm
>
> Title: Agent-based Knowledge-design Assistance (AKA)
>
> Abstract:
> Over the past decade the growth of data, information and knowledge has
> been accelerating and search engines and simple automation have proven
> to be inadequate at addressing the ensuing information glut. This points
> to the opportunity to apply Intelligent Agent technology to the problem
> by using them as assistants in managing data/information and developing
> the needed knowledge. Our proposed "Agent-based Knowledge-design
> Assistance (AKA) Environment" concept is a significant opportunity for
> the creation of an integrated environment for rapidly formulating
> knowledge bases utilizing agents in conjunction with design pattern
> concepts. The AKA concept provides an environment for hosting knowledge
> design pattern agents, called Template Agents (TA) and using XML as a
> run-time tool for conversion, storage, and maintenance of knowledge. The
> environment presents the user with an integrated view of the available
> TAs using an orchestrating agent, called Design Assistant Agent (DAA),
> which manages, arbitrates and negotiates with the TAs. All the agents
> act autonomously to promulgate their design pattern and agenda within
> the context of the AKA environment and the knowledge base content. We
> believe that the application of design patterns with the AKA environment
> will reduce risk, lead-time, complexity and level-of-effort associated
> with creation of knowledge and management of information. We expect the
> AKA project to be on a FastTrack due to commercialization plans of our
> teammates, Boeing and KnoWave, both of whom have immediate need for the
> technology. The AKA is targeted at the "solution seeking" market which
> is projected to grow from $240M in 2000 to about $1.9B in 2002.
>
> CHARLES RIVER ANALYTICS, INC.
> 725 Concord Avenue
> Cambridge, MA 02138
> Phone: (617) 491-3474
> PI: Dan L. Grecu
> Topic#: NIMA 00-002
>
> Title: Agent for Intelligent Analysis Support
> http://www.sbirsttr.com/SbirMisc/alld001.htm
>
> Abstract:
> Intelligence analysts have to respond to the information needs of
> commanders and decision makers leading military forces into potential
> engagements in a diversity of scenarios and in a large variety of
> geographical, political and social contexts. For NIMA this task requires
> the semantic integration of the imagery and geospatial analysis with
> large and diverse data repositories and real-time information. To
> support this information retrieval and integration process we propose
> the development of an Agent for Intelligent Analysis Support. The agent
> will assist analysts by semantically representing the context of the
> analysis problem and using it to support the intelligent information
> retrieval process. The agent will also amplify the information retrieval
> process by using domain ontologies, and will suggest additional
> information sources based on semantic associations with the problem
> context. The proposed approach will enable imagery and geospatial
> analysts to respond to queries anchored in the semantics of concrete
> tactical situations, and to complete their responses with data and
> knowledge available from intelligence channels, technical databases, and
> electronic knowledge repositories. The development effort will comply
> with DII-COE standards and integrate with the toolsets that are
> currently part of the United States Imagery & Geospatial Information
> Systems framework. The proposed effort has significant potential
> applications, both as a technology and as an end-product. As a
> technology the approach will provide tools for context-based semantic
> information retrieval from real-time information streams and
> repositories, in response to the decision-makers increasingly complex
> information needs. Candidate domains range from command and control
> centers, to market analysis, and to assessment in complex medical
> domains. As an end-product, the associated knowledge engineering tools
> will support on-going DoD efforts to develop multi-domain collections of
> knowledge bases, analysis and reasoning tools, that will enable the
> warfighter to take rapid, and informed decisions in complex, real-time
> situations.
>
> INFORMATION EXTRACTION & TRANSPORT
> 1911 N. Ft. Myer Drive, Suite 600
> Arlington, VA 22209
> Phone: (703) 841-3500
> PI: Ed Wright
> Topic#: NIMA 00-003
>
> Title: A Computational Hypothesis Space for Geospatial Information
> http://www.sbirsttr.com/SbirMisc/alld001.htm
>
> Abstract:
> This research will develop a revolutionary advance in database concepts
> for geospatial information that will support future intelligence
> analysts in providing responsive support to military operations. The
> concept will provide a computational hypothesis space that provides
> capabilities for advanced reasoning about features distributed in time
> and space based on diverse sources of information. The proposed
> capability will support today's intelligence analyst with the
> challenging task of providing responsive support to military operations.
> When a crisis arises suddenly in an area of the world where little
> initial data is available, the capability will provide rapid access to
> imagery, spatial data, text, and intelligence reports from diverse
> heterogeneous sources with wide variations in currency and quality. Over
> time, as crisis develop, a vast amount of current and detailed data is
> continuously collected and generated by a wide range of sensors and
> production systems. The proposed database architecture will also provide
> capabilities to correlate and fuse all of this information so analysts
> can reason about the military situation and provide a high level of
> support to commander's operational requirements. The revolutionary
> database concepts developed under this research will support advanced
> reasoning with geospatial information in a wide range of military and
> civilian problem domains. Applications include intelligence analysis,
> operational planning, resource management and exploration, and
> transportation and urban planning.
>
>
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