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    A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment 

    Shepard, Blake; Matuszek, Cynthia; Fraser, C. Bruce; Wechtenhiser, William; Crabbe, David; Güngördü, Zelal; Jantos, John; Hughes, Todd; Lefkowitz, Larry; Witbrock, Michael; Lenat, Doug; Larson, Erik (Association for the Advancement of Articifical Intelligence (AAAI), 2005-07)
    CycSecureTM is a network risk assessment and network monitoring application that relies on knowledge-based artificial intelligence technologies to improve on traditional network vulnerability assessment. CycSecure integrates ...
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    An Introduction to the Syntax and Content of Cyc 

    Matuszek, Cynthia; Witbrock, Michael; Cabral, John; DeOliveira, John (Association for the Advancement of Artificial Intelligence (AAAI), 2006-03)
    From the beginning, a primary goal of the Cyc project has been to build a large knowledge base containing a store of formalized background knowledge suitable for supporting reasoning in a variety of domains. In this paper, ...
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    Guiding Inference with Policy Search Reinforcement Learning 

    Taylor, Matthew E.; Matuszek, Cynthia; Smith, Pace Reagan; Witbrock, Michael (Association for the Advancement of Artificial Intelligence (AAAI), 2007-05)
    Symbolic reasoning is a well understood and effective approach to handling reasoning over formally represented knowledge; however, simple symbolic inference systems necessarily slow as complexity and ground facts grow. As ...
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    Autonomous Classification of Knowledge into an Ontology 

    Taylor, Matthew E.; Matuszek, Cynthia; Klimt, Bryan; Witbrock, Michael (Association for the Advancement of Artificial Intelligence (AAAI), 2007-02-11)
    Ontologies are an increasingly important tool in knowledge representation, as they allow large amounts of data to be related in a logical fashion. Current research is concentrated on automatically constructing ontologies, ...
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    Searching for Common Sense: Populating Cyc from the Web 

    Matuszek, Cynthia; Witbrock, Michael; Kahlert, Robert C.; Cabral, John; Schneider, Dave; Shah, Purvesh; Lenat, Doug (Association for the Advancement of Artificial Intelligence (AAAI), 2005-07)
    The Cyc project is predicated on the idea that effective machine learning depends on having a core of knowledge that provides a context for novel learned information – what is known informally as “common sense.” Over the ...
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    Automated Population of Cyc: Extracting Information about Namedentities from the Web 

    Shah, Purvesh; Schneider, David; Matuszek, Cynthia; Kahlert, Robert C.; Aldag, Bjørn; Baxter, David; Cabral, John; Witbrock, Michael; Curtis, Jon (Association for the Advancement of Artificial Intelligence (AAAI), 2006-02-13)
    Populating the Cyc Knowledge Base (KB) has been a manual process until very recently. However, there is currently enough knowledge in Cyc for it to be feasible to attempt to acquire additional knowledge autonomously. This ...
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    Gathering and Managing Facts for Intelligence Analysis 

    Schneider, David; Matuszek, Cynthia; Shah, Purvesh; Kahlert, Robert; Baxter, David; Cabral, John; Witbrock, Michael; Lenat, Douglas (2005-05)
    This paper presents a novel method, based on the Cyc Knowledge Base and Inference Engine, of gathering, organizing and sharing information about entities of interest (be they people, organizations, events or some other ...
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    Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc 

    Witbrock, Michael; Matuszek, Cynthia; Brusseau, Antoine; Kahlert, Robert; Fraser, C. Bruce; Lenat, Douglas (AAAI, 2005)
    The Cyc project is predicated on the idea that, in order to be effective and flexible, computer software must have an understanding of the context in which its tasks are performed. We believe this context is what is known ...


    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.

     

     

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    AuthorMatuszek, Cynthia (8)
    Witbrock, Michael (8)
    Cabral, John (4)Shah, Purvesh (3)Baxter, David (2)Fraser, C. Bruce (2)Kahlert, Robert (2)Kahlert, Robert C. (2)Lenat, Doug (2)Lenat, Douglas (2)... View MoreSubject
    Interactive Robotics and Language Lab (8)
    Cyc Knowledge Base (KB) (2)analyses of the security of networks. (1)computer software understanding of the context in which its tasks are performed (1)computer understandable knowledge (1)Cyc knowledge base (1)Cyc knowledge base (KB) (1)Cyc knowledge base and inference system (1)CycL Language (1)Cyc® knowledge base (KB) (1)... View MoreDate Issued2005 (4)2006 (2)2007 (2)Has File(s)Yes (7)No (1)


    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.