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This paper surveys the use of Spreading Activation techniques onSemantic Networks in Associative Information Retrieval. The majorSpreading Activation models are presented and their applications toIR is surveyed. A number of works in this area are criticallyanalyzed in order to study the relevance of Spreading Activation forassociative IR.
The evaluation of an implication by Imaging is a logical technique developed in the framework of modal logic. Its interpretation in the context of a possible worlds" semantics is very appealing for IR. In 1989, Van Rijsbergen suggested its use for solving one of the fundamental problems of logical models in IR: the evaluation of the implication d ! q where(More)
In this paper we present some new methods of ranking information retrieval systems without relevance judgement. The common ground of these methods is using a measure we called reference count. An extensive experimentation was conducted to evaluate the effectiveness of the proposed methods using various different standards Information Retrieval evaluation(More)
The rst part of the paper brieey introduces what automatic au-thoring of a hypertext for information retrieval means. The most diicult part of the automatic construction of a hypertext is the creation of links connecting documents or document fragments that are semantically related. Because of this, to many researchers it seemed natural to use IR techniques(More)
i I certify that except where due acknowledgement has been given, the work presented in this thesis is that of the author alone; the work has not been submitted previously, in whole or in part, to qualify for any other academic award; and the content of the thesis is the result of work which has been carried out since the official commencement date of the(More)
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This paper proposes an adptive approach for data fusion of information retrieval systems, which exploits estimated performances of all component input systems without relevance judgement or training. The estimation is conducted prior to the fusion but uses the same data as fusion applies. The experiment shows that our algorithms are competitive with, and(More)
Bibliography 167 Index 179 Mystics exult in mystery and want it to stay mysterious. Scientists exult in mystery for a different reason: it gives them something to do. Preface This thesis concerns the optimal behaviour of agents in unknown computable environments, also known as universal artificial intelligence. These theoretical agents are able to learn to(More)