According to the Potential Ambiguity theory, this article analyzes syntactic and semantic features of the forward and backward parts of verb 'you'. then based on the complex features and unification withthe i...
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作者:
Park, CShon, JETRI
Knowledge & Inference Res Team Taejon South Korea
this paper presents the method that model and process web ontology data. that is, we describe the method that create and handle ontology object model in which to access, express and process web ontology. With rising o...
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ISBN:
(纸本)8955191235
this paper presents the method that model and process web ontology data. that is, we describe the method that create and handle ontology object model in which to access, express and process web ontology. With rising of semantic web, there are many approaches that process ontology according to a characteristic of ontology data on web. Recently, the Resource Description Framework (RDF), DAML-OIL and web Ontology language (OWL) used as a language to express web ontology. Hierarchical vocabulary architecture is to be composed of the top ontology layer of frame-base and the generic ontology layer that define common vocabulary use different domain and functional ontology layer which expressed the vocabulary that depend on generic ontology. By creating the ontology object model that used hierarchical vocabularies, we remove redundancy of an expression and can increase reusability. Furthermore, by using model access API, ontology external application such as reasoning, merging and authoring tools can easily access ontology object model and provide an easy knowledge representation about ontology.
this paper proposes a new approach for generating smart 3D speech animation. the basic idea is to synthesize the animated faces using prosodic information edited by user with a kind of markup language. the proposed te...
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ISBN:
(纸本)9780769532738
this paper proposes a new approach for generating smart 3D speech animation. the basic idea is to synthesize the animated faces using prosodic information edited by user with a kind of markup language. the proposed technique takes advantage of both performance-driven and parameter-driven approaches. So it greatly reduces the workload of manual modeling used in the traditional key frame animation and the animation generating process can be easily control. To relate the prosody text withthe 3D animation, our technique builds up a parametric model based on the exponential formula. It takes the pre-obtained 3D dynamic visemes and prosodic tag recorded in CPML (Chinese Prosody Markup language) as input data, and outputs a segment of vivid speech animation. Experimental results show that (1) the proposed technique synthesizes animation of different effects depending on the availability withthe prosodic information, and (2) the new technique produces realistic results using less data than the conventional methods.
In common, machine learning methods, there is a basic assumption that training data and test data are sampled from the same distribution. However, this assumption is commonly violated in practical fields. the situatio...
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ISBN:
(纸本)9780769532738
In common, machine learning methods, there is a basic assumption that training data and test data are sampled from the same distribution. However, this assumption is commonly violated in practical fields. the situation. where the training and test data are generated from different distributions is so-called covariate shift. In natural languageprocessing, it is highly possible to occur covariate shift due to the size of sample space. Natural language data have theoretically infinite size, which causes that the distribution of training data can not reflect that of entire data. In this paper, we try to verify that the performance of methods on natural languageprocessing can be improved by reducing error from covariate shift. For this purpose, we propose the importance weighted k-NN for base noun detection. In the proposed method, the weights are set as a difference between the training and test distribution. theoretically, the performance under covariate shift can be improved using importance weight method. In the experiment, the proposed method shows better performance than normal k-NN.
Over the past decades the technological development of vehicles has developed rapidly and today almost everything in a vehicle is controlled by electric/electronic systems. In addition the telematics service developed...
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ISBN:
(纸本)9780769532738
Over the past decades the technological development of vehicles has developed rapidly and today almost everything in a vehicle is controlled by electric/electronic systems. In addition the telematics service developed on IT technology. telematics service consist of two part. First part is personal information service, other part is diagnostic service. Currently, Diagnostics and collision prevention telematics services are more important than the personal information telematics services. So In this paper, we propose a very flexible and efficient system for automotive diagnostic and the update of the vehicle's Software using a telematics device between the remote download DM server and the local ECUs within the vehicle. this system will enable the user to inquire and configurate the vehicle status in real-time using a personal computer or PDA via wireless network. Also, the user and auto mechanism engineers can diagnose software failures and upgrade the software modules.
theWorld Wideweb has many distinctive characteristics that make it fascinating and challenging for web mining tasks. there is an immense amount of knowledge accessible online and a fertile field for study in data mini...
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ISBN:
(纸本)9798400709227
theWorld Wideweb has many distinctive characteristics that make it fascinating and challenging for web mining tasks. there is an immense amount of knowledge accessible online and a fertile field for study in data mining. In this paper, the researcher surveyed the research in web usage mining from different opinions as explained in their study. For the survey, the researcher focused on web usage mining categories as defined by different researchers. And concluded that web usage mining aims to discover the paradigm that underlies the web's relation structures. web usage mining focuses on techniques, which, while the user interacts withthe web, may predict behavior.
In today's constantly iterating online world, a large amount of information appears in spurts, causing certain difficulties for social governance. In this paper, we establish a big data monitoring system, use web ...
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ISBN:
(纸本)9781665433860
In today's constantly iterating online world, a large amount of information appears in spurts, causing certain difficulties for social governance. In this paper, we establish a big data monitoring system, use web crawler technology to obtain data and then use python language to analyze data to obtain reference models and various correlation variables and indicator data to help the government monitor online public opinion. Specifically, this paper combines cloud word graphs and data visualization techniques to analyze comments on hot topics on Weibo, extracting keywords from the text more intuitively and accurately, and then analyzing the sentiment direction of keywords, which can quickly predict the public's opinions, views and social values on a certain topic.
there are defects in the current depiction method of computerized Chinese character glyph, especially on the aspect of feature selection and computation for comparing glyphs, which cause many problems, such as the inp...
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ISBN:
(纸本)9780769532738
there are defects in the current depiction method of computerized Chinese character glyph, especially on the aspect of feature selection and computation for comparing glyphs, which cause many problems, such as the input of wrongly written characters, variant forms of characters in ancient literatures, and combined-characters and automatic glyph comparing. this research offers an application-oriented depiction method of Chinese character glyph, which possesses the characteristics of suitable granular degree, ambiguity-free, and standardized basic units and which can be applied in the depiction of any possible different glyph skeletons (including wrongly written characters, variant form of a Chinese character, and combined-characters). this research also offers the classifications of basic stokes, compound stokes, algorithms of automatic stoke extraction and structural relation computation based on stroke-segments-mesh depiction of glyphs. the experiment indicates that this method can be applied in the descriptive input of any glyph and computation for comparing either the whole or part of glyphs.
this paper presents a template-based English-Chinese translation system characterized by two important features: Fast Optimal Parsing Algorithm (FOPA) and Universal Algorithm of Matching and Replacing Templates (UAAMT...
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ISBN:
(纸本)9780769529301
this paper presents a template-based English-Chinese translation system characterized by two important features: Fast Optimal Parsing Algorithm (FOPA) and Universal Algorithm of Matching and Replacing Templates (UAAMT). First, the FOPA parses an English sentence into an optimal parse tree or template structure quickly. Second, the UAMRT matches each source template withthe optimal structure and replaces it withthe corresponding target template. the basic idea of the template-based system is to represent all translation knowledge in uniform templates which can be shown as context-free grammar rules. It then translates an English sentence into Chinese with FOPA and UAMRT System evaluation shows encouraging and promising results for quality and speed, and the system may perform better by adding more templates without any other changes.
Semantic web comes out withthe vision of making human readable information to be machine processable. Ontology, the core of semantic web, with concept instantiations serves as a domain knowledge base while semantic w...
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