the paper chronicles a case study investigation into colour naming decisions, a phenomenon at the boundary of language and perception. Colours in the region between blue and green are found difficult to name reliably,...
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this paper describes an approach towards verification of object oriented real-Time software systems, based on ATL+, a formal specification language of which the syntax and semantics are inspired by the Java programmin...
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Renewed interest in artificial neural networks (ANN) in the last decade (1988-98) has led to numerous applications of ANNs in various fields. the paper provides an updated review of ANN applications from 1988 to 1998,...
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this paper provides a denotational semantics to a subset of Timed RAISE Specification language (RSL) using Extended Duration Calculus (EDC) model. We use some novel features of EDC which play the vital role in formali...
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the paper presents an optimization method, based on both Bayesian analysis technique and Gallois lattice of a fuzzy semantic network. the technical system we use learns by interpreting an unknown word using the links ...
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Object-oriented patterns represent abstractions of good solutions to recurring problems in object-oriented software design. this abstractness means that a given pattern can be used in many different applications, whic...
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In this paper we introduce a general model of a web Query System, i.e. a set of integrated tools for the efficient and effective retrieval of hypermedia information on the World Wide web. then we describe a prototype ...
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In this paper we introduce a general model of a web Query System, i.e. a set of integrated tools for the efficient and effective retrieval of hypermedia information on the World Wide web. then we describe a prototype environment based on WG-Log, a graph-oriented query and data description language for web sites, focusing on metadata processing and storage.
the START system responds to natural language queries with answers in text, pictures, and other media. START's sentence-level natural language parsing relies on a number of mechanisms to help it process the huge, ...
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the START system responds to natural language queries with answers in text, pictures, and other media. START's sentence-level natural language parsing relies on a number of mechanisms to help it process the huge, diverse resources available on the World Wide web. Blitz, a hybrid heuristic- and corpus-based natural language preprocessor, enables START to integrate a large and ever-changing lexicon of proper names, by using heuristic rules and precompiled tables of symbols to preprocess various highly regular and fixed expressions into lexical tokens. LaMeth, a content-based system for extracting information from HTML documents, assists START by providing a uniform method of accessing information on the web in real time. these mechanisms have considerably improved START's ability to analyze real-world sentences and answer queries through expansion of its lexicon and integration of web resources.
As more information becomes available electronically, tools for finding information of interest to users become increasingly important. Building tools for assisting users in finding relevant information is often compl...
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As more information becomes available electronically, tools for finding information of interest to users become increasingly important. Building tools for assisting users in finding relevant information is often complicated by the difficulty in articulating user interest in a form that can be used for searching. the goal of the research described is to build a system for generating comprehensible user profiles that accurately capture user interest with minimum user interaction.
the paper chronicles a case study investigation into colour naming decisions, a phenomenon at the boundary of language and perception. Colours in the region between blue and green are found difficult to name reliably,...
详细信息
the paper chronicles a case study investigation into colour naming decisions, a phenomenon at the boundary of language and perception. Colours in the region between blue and green are found difficult to name reliably, and it is suggested that decisions may be based primarily on intentional, context dependent language processes, rather than on simply perceptual mechanisms. Various models and codes for colour naming exist which make different assumptions based on theories of colour vision. A challenge for AI is to provide normative models to better understand aspects of colour vision, by using techniques such as fuzzy logic and artificial neural networks. this is based on the assumption that classifications of colour stimuli can be established and corroborated with case data, thus enabling clarification of psychological models. the paper outlines a preliminary research proposition, and some initial findings.
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