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Sanjiang Li

  1. On A Semi-Automatic Method for Generating Composition Tables.

    Втр, 05/24/2011 - 15:01 — SomNambul
    Authors: Sanjiang Li, Weiming Liu
    Subjects: Artificial Intelligence
    Abstract

    Originating from Allen's Interval Algebra, composition-based reasoning has
    been widely acknowledged as the most popular reasoning technique in qualitative
    spatial and temporal reasoning. Given a qualitative calculus (i.e. a relation
    model), the first thing we should do is to establish its composition table
    (CT). In the past three decades, such work is usually done manually. This is
    undesirable and error-prone, given that the calculus may contain tens or
    hundreds of basic relations. Computing the correct CT has been identified by
    Tony Cohn as a challenge for computer scientists in 1995.

  2. Reasoning with Topological and Directional Spatial Information.

    Ср, 09/02/2009 - 12:02 — SomNambul
    Authors: Sanjiang Li, Anthony G. Cohn
    Subjects: Artificial Intelligence
    Abstract

    Current research on qualitative spatial representation and reasoning mainly
    focuses on one single aspect of space. In real world applications, however,
    multiple spatial aspects are often involved simultaneously.

  3. Reasoning about Cardinal Directions between Extended Objects.

    Ср, 09/02/2009 - 12:02 — SomNambul
    Authors: Sanjiang Li, Xiaotong Zhang, Weiming Liu, Mingsheng Ying
    Subjects: Artificial Intelligence
    Abstract

    Direction relations between extended spatial objects are important
    commonsense knowledge. Recently, Goyal and Egenhofer proposed a formal model,
    known as Cardinal Direction Calculus (CDC), for representing direction
    relations between connected plane regions. CDC is perhaps the most expressive
    qualitative calculus for directional information, and has attracted increasing
    interest from areas such as artificial intelligence, geographical information
    science, and image retrieval.

  4. A Layered Graph Representation for Complex Regions.

    Ср, 09/02/2009 - 12:02 — SomNambul
    Authors: Sanjiang Li
    Subjects: Artificial Intelligence
    Abstract

    Topological information are the most important kind of qualitative spatial
    information. Current formalisms for the topological aspect of space focus on
    the global relations between regions, while overlooking their internal
    structure. Complex regions could be of multiple pieces and/or have holes and
    islands to any finite level. We propose a layered graph model for representing
    the internal structure of complex plane regions, where each node represents a
    connected component of the interior or the exterior of a complex region.

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