5841147
Trustworthiness of Information Sources and Information Pedigrees
To survive, and indeed thrive, in an open heterogenous information sharing environment, an agent's ability to evaluate the trustworthiness of other agents becomes crucial. In this paper, we investigate a procedure for evaluating an agent's trustworthiness as an information source. By separating the procedure into competency analysis and sincerity analysis, we are able to deal with complicated cases involving the passing-on of information, where the same information may reach a receiver agent via different routes. In order to keep information about the source agent we use an information pedigree as a means to maintain the history of communicated information. Our evaluation of trustworthiness can be employed to drive data fusion, weighted knowledge base merging, and multiple source conflict resolution.
23049563
A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology
In this paper, we identify that failure to cater for the various forms of heterogeneity is one of the major drawbacks of the previous research on multi-agent belief revision (MABR). Three major categories of heterogeneity, namely social, semantic and syntactic heterogeneity are clarified. Several issues posed by such heterogeneities are addressed in the context of BR. The use of ontology is proposed as a powerful tool to tackle the heterogeneity issues so as to achieve the necessary reliable communication find system interoperability required by MABR. The question of what kind of ontology would be suitable to support MABR in a heterogenous setting is answered in Part I. In its sequel, Part II, a general framework for MABR is presented based on a shared knowledge structure which serves as the theoretical basis for ontology design.
1735256
A Web-Based CAD System for Learning and Laboratory Purpose
A Web-based CAD system for learning and laboratory purpose is presented in this paper. The system serves as a three-in-one courseware: a pedagogical tool for teaching, an experimental tool for learning and a programming kit for laboratory. As a pedagogical tool, the system can help teachers interactively demonstrate the properties of curves and their associated equations with animations. The same tool can be used by students to play the animations themselves. As a programming kit, the same CAD system allows some CAD functions to be programmable for laboratory purpose. All activities are available on-line through a standard Web browser. A prototype is implemented and a user study is conducted for evaluation of the system. The result shows that the students like the system since it allows them to learn and practice the subject at home.
6547870
Automatic detection of Flash movie genre using Bayesian approach
As Flash, a relatively new rich media format, becomes more and more popular on the Web, the genre becomes increasingly important for Flash movie management as a complement to topical principles of classification. Genre classification can identify Flash movies authored in a style most likely to satisfy a user's information need. We present a method for detecting the Flash genre quickly and easily by employing a Bayesian approach. A feature set for representing genre information is proposed and used to build automatic genre classification algorithms. The performance of the proposed approach is evaluated by training a Bayesian classifier on real-world data sets. Classification results from our experiments on thousands of Flash movies demonstrate the usefulness of this approach
24959035
A Novel Constraint-Based Approach to Online Graphics Recognition
Online graphics recognition has become the key problem for pen-based user interface on small screen devices, such as PDA and Tablet PC. In this paper, a novel constraint-based approach to online graphics recognition is proposed. The key idea of our approach is that when the user is drawing a graphic object, the system can extract the constraints between primitives and basic shapes from the object and use these constraints to retrieve similar graphic objects from the database at run time. The user can then choose the standard object from the ranked list of results to replace his sketches before he finishes drawing all strokes of the object. For this purpose, we summarize three types of primitives and several types of basic shapes as the basic components of a graphic object. We also define a set of constraints between primitives and basic shapes to represent their structural relations. The algorithms for online constraint extraction and graphics recognition are also presented. Experimental results show that our approach is efficient for online graphics recognition and effective for improving the user’s productivity.
30505871
User Interest Detection on Web Pages for Building Personalized Information Agent
In this paper we propose a vision-based approach to detecting user’s interests on web pages. This approach first splits a web page into several blocks of topics according to visual cues and then analyzes the layout structure of the page based on these blocks. The user’s interests are detected according to his browsing behaviors on the blocks and the layout structure of the web page. A personalized information agent is also developed to automatically extract new content from those web pages according to the user’s interests. Our experiments show that our proposed approach to detecting user’s interests on web pages achieves satisfactory accuracy and the personalized information agent significantly saves user’s browsing time and improves user’s browsing experience.
12595607
Sketch Recognition Based on Topological Spatial Relationship
In recognition of composite graphic objects, topological spatial relationships of their components play an important role. Although most researchers focus on binary topological relationships, they cannot carry all information of the internal structure of the compound objects. Therefore, we introduce the ternary relationship, which is a complement to the binary relationship, to describe composite graphic objects. Moreover, we provide a constrained partial permutation algorithm based on both the binary and ternary topological spatial relationships to recognize the sketchy objects input by users in an online manner. Experimental results show that this approach is both efficient and effective for online composite graphics recognition in our sketch-based graphics input system–SmartSketchpad.