American Association for Artificial Intelligence

Displaying 1-10 of 10 results

  • White Papers // Jan 2011

    Graph-Based Hierarchical Conceptual Clustering in Structural Databases

    Cluster analysis has been studied and developed in many areas for a wide variety of applications. The purpose of applying clustering to a database is to gain better understanding of the data, in many cases through revealing hierarchical topologies. The authors are working on extending the Subdue structural knowledge discovery...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Optimal Route Planning Under Uncertainty

    The authors present new complexity results and efficient algorithms for optimal route planning in the presence of uncertainty. They employ a decision theoretic framework for defining the optimal route: for a given source S and destination T in the graph, the authors seek an ST-path of lowest expected cost where...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Replacements in Non-Ground Answer-Set Programming

    In this paper, the authors propose a formal framework for specifying rule replacements in non-monotonic logic programs within the answer-set programming paradigm. Of particular interest are replacement schemas retaining specific notions of equivalence, among them the prominent notions of strong and uniform equivalence, which have been introduced as theoretical tools...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Intelligent Browsing Assistance for Corporate Knowledge Portals

    The management of knowledge, i.e. knowing what is known and the ability to exploit it is a burning issue for most organizations. Though knowledge management has a strong social perspective, information technology supports knowledge management strategies by providing tools that store codied knowledge and allow its retrieval. The value of...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Mining the Web to Determine Similarity Between Words, Objects, and Communities

    The World Wide Web provides a wealth of data that can be harnessed to help improve information retrieval and increase understanding of the relationships between different entities. In many cases, the authors are often interested in determining how similar two entities may be to each other, where the entities may...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Discovering Structural Patterns in Telecommunications Data

    With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated and stored by telecom companies overwhelms scientists' ability to manually discover patterns in the data. Because much of this data is structural...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2010

    Semantic Web Service Architecture - Evolving Web Service Standards Toward the Semantic Web

    The importance of Web services has been recognized and widely accepted by industry and academic research. However, the two worlds have proposed solutions that progress along different dimensions. Academic research has been mostly concerned with expressiveness of service descriptions, while industry has focused on modularization of service layers - mostly...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2010

    Adaptive Decision Support for Planning Under Hard and Soft Constraints

    Given the 60-month limit on services, it is crucial that advice from case managers or software take into account longer-term plans, rather than immediate gratification. The constraints on planning arise from the client's preferences and her limitations, and from availability of services. For instance, a low-literacy client cannot be expected...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2010

    Projection and Reaction for Decision Support in Refineries: Combining Multiple Theories

    Modern decision support systems are forced to deal with perpetual change in their environment: change that includes a high degree of uncertainty over the current state of the plant, effects of actions, accuracy of sensor readings, and consistency of execution of approved procedures by plant operators. This paper reports on...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jun 2008

    Identifying Objects Over Time With Description Logics

    A fundamental requirement for cooperating agents is to agree on a selection of component values of objects that can be used for reliably communicating references to the objects, that is, to function as their keys. In distributed environments such as the web, it is more likely that a choice of...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Graph-Based Hierarchical Conceptual Clustering in Structural Databases

    Cluster analysis has been studied and developed in many areas for a wide variety of applications. The purpose of applying clustering to a database is to gain better understanding of the data, in many cases through revealing hierarchical topologies. The authors are working on extending the Subdue structural knowledge discovery...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Optimal Route Planning Under Uncertainty

    The authors present new complexity results and efficient algorithms for optimal route planning in the presence of uncertainty. They employ a decision theoretic framework for defining the optimal route: for a given source S and destination T in the graph, the authors seek an ST-path of lowest expected cost where...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Replacements in Non-Ground Answer-Set Programming

    In this paper, the authors propose a formal framework for specifying rule replacements in non-monotonic logic programs within the answer-set programming paradigm. Of particular interest are replacement schemas retaining specific notions of equivalence, among them the prominent notions of strong and uniform equivalence, which have been introduced as theoretical tools...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jun 2008

    Identifying Objects Over Time With Description Logics

    A fundamental requirement for cooperating agents is to agree on a selection of component values of objects that can be used for reliably communicating references to the objects, that is, to function as their keys. In distributed environments such as the web, it is more likely that a choice of...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2010

    Semantic Web Service Architecture - Evolving Web Service Standards Toward the Semantic Web

    The importance of Web services has been recognized and widely accepted by industry and academic research. However, the two worlds have proposed solutions that progress along different dimensions. Academic research has been mostly concerned with expressiveness of service descriptions, while industry has focused on modularization of service layers - mostly...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2010

    Adaptive Decision Support for Planning Under Hard and Soft Constraints

    Given the 60-month limit on services, it is crucial that advice from case managers or software take into account longer-term plans, rather than immediate gratification. The constraints on planning arise from the client's preferences and her limitations, and from availability of services. For instance, a low-literacy client cannot be expected...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2010

    Projection and Reaction for Decision Support in Refineries: Combining Multiple Theories

    Modern decision support systems are forced to deal with perpetual change in their environment: change that includes a high degree of uncertainty over the current state of the plant, effects of actions, accuracy of sensor readings, and consistency of execution of approved procedures by plant operators. This paper reports on...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Intelligent Browsing Assistance for Corporate Knowledge Portals

    The management of knowledge, i.e. knowing what is known and the ability to exploit it is a burning issue for most organizations. Though knowledge management has a strong social perspective, information technology supports knowledge management strategies by providing tools that store codied knowledge and allow its retrieval. The value of...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Mining the Web to Determine Similarity Between Words, Objects, and Communities

    The World Wide Web provides a wealth of data that can be harnessed to help improve information retrieval and increase understanding of the relationships between different entities. In many cases, the authors are often interested in determining how similar two entities may be to each other, where the entities may...

    Provided By American Association for Artificial Intelligence

  • White Papers // Jan 2011

    Discovering Structural Patterns in Telecommunications Data

    With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated and stored by telecom companies overwhelms scientists' ability to manually discover patterns in the data. Because much of this data is structural...

    Provided By American Association for Artificial Intelligence