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advanced Intelligent Computing theories and Applications: 11th international conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III 1

引用

丛书名： Lecture Notes in Computer Science 9227

2015年

作者： De-Shuang Huang, Kyungsook Han (eds.)

ISBN: (数字)9783319220536

ISBN: (纸本)9783319220529;9783319220536

this book - in conjunction with the double volume LNCS 9225-9226 - constitutes the refereed proceedings of the 11th international conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August *** 84 papers of this volume were carefully reviewed and selected from 671 submissions. Original contributions related to this theme were especially solicited, including theories, methodologies, and applications in science and technology. this year, the conference concentrated mainly on machine learning theory and methods, soft computing, image processing and computer vision, knowledge discovery and data mining, natural language processing and computational linguistics, intelligent control and automation, intelligent communication networks and web applications, bioinformatics theory and methods, healthcare and medical methods, and information security.

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web content extraction based on subject detection and node density

Web content extraction based on subject detection and node d...

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international conference on Knowledge and Smart technology (KST)

作者： Warid Petprasit Saichon Jaiyen Department of Computer Science King Mongkut's Institute of Technology Ladkrabang Thailand

Currently, very large data have been transferred from everywhere through World Wide web. Consequently, the information extraction systems have been arising and many researches have been focusing on those data for utilizing them. these systems are very useful for data pre-processing and cleaning for real-time applications. Moreover, these systems can make other analyzing systems to analyze the data in real time such as social network mining, web mining, data mining, or even special tasks such as false advertisement detection, demand forecasting, and comment extraction on product and service reviews. In this paper, we focus on extracting the content data of web pages in e-commerce web sites based on subject detection and node density. In the experimental results, it can signify that our proposed method is appropriated to extract the data rich region in data-intensive pages in an automatic fashion.

关键词： Data mining web pages XML Cascading style sheets Uniform resource locators

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A software system family: Learning from simple data processing to knowledge management system of research

A software system family: Learning from simple data processi...

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international conference on information technology and Electrical Engineering (ICITEE)

作者： Inggriani Liem Transmissia Semiawan Ade Chandra Suprihanto Data and Software Engineering Research Group School of Electrical Engineering and Informatics ITB Bandung Indonesia Department of Computer Engineering and Informatics Bandung State Polytechnics Bandung

In this paper, we propose a series of applications that represent a system family for processing Research Data. the whole system is a model of complete data flow of "research", from data capturing, processing, until intelligent data analysis. Data engineering, Software Engineering, Domain Engineering and Ontology Engineering are used for the development of the system. We also described tools and technologies to be used in building the system. the prototype of a small scale system has been built as a proof of concept of this family of system, for the domain of "Research" in Indonesian context. the aim of building this prototype are: (a) to provide an architectural description prototype of a knowledge repository where Indonesian Context Research as a central domain (b) to comprehend a software engineering for software system family.

关键词： Ontologies Software Data models Unified modeling language Prototypes Software engineering information systems

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InSciTe advisory: Prescriptive analytics service for enhancing research performance

InSciTe advisory: Prescriptive analytics service for enhanci...

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international conference on Knowledge and Smart technology (KST)

作者： Hanmin Jung Young-guk Ha Korea Institute of Science and Technology Information Daejeon KR Konkuk University Gwangjin-gu Seoul KR

ISBN: (纸本)9781479960507

Explosively increased Big Data and very fast technical evolutions require an entirely new analytics that is able to precisely analyze researchers' activities until now and to provide research directions from now on. Prescriptive analytics shows fundamental difference with descriptive/predictive analytics in that it should provide multiple strategies to achieve a given research direction. Complex event processing also shows a new way to read implicit intentions from many kinds of activities such as publishing article, travelling on business, and attending conference. thus, this talk shows a case study by explaining requirements and factors for implementing a personalized research service with InSciTe Advisory, as a data-intensive intelligent service, for helping to find plausible research directions. this talk also covers data gathering, information extraction from entities to simple events, reasoning, and Hadoop ecosystem.

关键词： Computer science Educational institutions Big data Computers Telecommunications Human computer interaction Natural language processing

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Jaccard coefficient-based word sense disambiguation using hybrid knowledge resources

Jaccard coefficient-based word sense disambiguation using hy...

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international conference on information technology and Electrical Engineering (ICITEE)

作者： Su Mu Tyar thanda Win Department of Information Technology Yangon Technological University Yangon Myanmar

Word Sense Disambiguation (WSD) has become a popular method for solving the ambiguous meaning of the words in information Retrieval (IR) field area. Under the Natural language processing (NLP) community, WSD has been described as the task which able to select the appropriate meaning among the ambiguous meanings to a given word. Among three approaches, supervised based, unsupervised based and knowledge based approaches to WSD, this paper focuses on both supervised based and knowledge based approaches by proposing new Jaccard coefficient-based WSD algorithm to overcome the vocabulary miss match problem. WordNet and corpus external knowledge resources are utilized as the sense repositories by linking up with the new WSD algorithm to consider additional semantic for WSD. According to sample testing, IR system with new WSD algorithm attains more about 20 percent of total accuracy rate than traditional IR system.

关键词： Context Vocabulary information technology Semantics Testing Electrical engineering

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Lexical Characteristics Analysis of Chinese Clinical Documents

Lexical Characteristics Analysis of Chinese Clinical Documen...

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IEEE international Symposium on information (IT) in Medicine and Education, ITME

作者： Meizhi Ju Huilong Duan Haomin Li College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou China The Children's Hospital The Institute of Translational Medicine Zhejiang University Hangzhou China

Understanding lexical characteristics of clinical documents is the foundation of sublanguage based Medical language processing (MLP) approach. However, there are limited studies focused on the lexical characters of Chinese clinical documents. In this study, a lexical characteristics analysis on both syntactic and semantic levels was conducted in a clinical corpus which contains 3,500 clinical documents generated during daily practices. the analysis was based on the automatic tagging results of a lexicon-based part-of-speech (POS) and semantic tagging method. the medical lexicon contains 237,291 entries annotated with both semantic and syntactic classes. the normalized frequency of different terms, syntactic and semantic classes was calculated and visualized. Major contribution of this paper is providing a wide-coverage Chinese medical semantic lexicon and presenting the lexical characteristics of Chinese clinical documents. Both of these will lay a good foundation for sublanguage based MLP studies in China.

关键词： Semantics Syntactics Medical diagnostic imaging Tagging Noise measurement Grammar Natural language processing

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Qualitative Stock Market Predicting with Common Knowledge Based Nature language processing: A Unified View and Procedure

Qualitative Stock Market Predicting with Common Knowledge Ba...

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international conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Dongning Rao Fudong Deng Zhihua Jiang Gansen Zhao School of Computer Guangdong University of Technology Guangzhou China School of Information Science and Technology Jinan University Guangzhou China School of Computer South China Normal University Guangzhou China

ISBN: (纸本)9781479986477

there are many artificial intelligent applications. Some of them focus on the financial market. they often use a nature language processing method, e.g., To predict stock prices. However, most of them are inaccurate. there are two reasons. For one thing, computer programs are more effective in the syntax analysis than semantic analysis. For another, accurately predicting stock prices is beyond our knowledge and ability today. However, there are many valuable experiences in existing studies. therefore, we propose a unified view and procedure to facilitate using these experiences. this procedure is based on the common knowledge, which is primarily expressed as keywords in this paper. It first recognizes name entities and then learns rules with the common knowledge and last inferences crucial features. these features, with other quantitative features in the stock market, may make the prediction more accurate. As a result, this view and process can be a framework for many (but not all) nature language processing applications in stock predicting.

关键词： Semantics Dictionaries Stock markets Computers Context Databases

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When textual information becomes spatial information compatible with satellite images

When textual information becomes spatial information compati...

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international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)

作者： Eric Kergosien Hugo Alatrista-Salas Mauro Gaio Fábio N. Güttler Mathieu Roche Maguelonne Teisseire GERiiCO Univ. Lille Lille France Pontificia Universidad Católica del Perú Lima Peru LIUPPA Univ Pau Pau France ICube Univ. Strasbourg Strasbourg France UMR TETIS & LIRMM Montpellier France

ISBN: (纸本)9781509019670

With the amount of textual data available on the web, new methodologies of knowledge extraction domain are provided. Some original methods allow the users to combine different types of data in order to extract relevant information. In this context, we present the cornerstone of manipulations on textual documents and their preparation for extracting compatible spatial information with those contained in satellite images. the term footprint is defined and its extraction is performed. In this paper, we describe the general process and some experiments conducted in the ANIMITEX project, which aims to match the information coming from texts with those of satellite images.

关键词： Satellites Planning Remote sensing Natural language processing Context Feature extraction Roads

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A sentiment analysis hybrid approach for microblogging and E-commerce corpus

A sentiment analysis hybrid approach for microblogging and E...

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international conference on Modelling, Identification and Control (ICMIC)

作者： Kai Gao Shu Su Jiu-shuo Wang School of Information Science & Engineering Hebei University of Science and Technology China

Exploiting linguistic features is necessary on sentiment analysis in natural language processing. this paper proposes a novel approach on exploiting linguistic features and SVMperf based semantic classification. the innovation is that it uses the dependency relationship to do the linguistic feature extraction. In order to reduce the computational complexity, this paper uses the X2 (chi-square) and Pointwise Mutual information (PMI) metrics for feature selection. Furthermore, as for the approach on sentiment analysis, this paper uses the SVMperf based algorithm to do the alternative structural formulation of the SVM optimization problem for classification. this paper uses two different corpuses (i.e., microblogging and e-commerce data set) to evaluate the performance. Experiment results show the feasible of the approach. Existing problems and further works are also present in the end.

关键词： Feature extraction Sentiment analysis Syntactics Dictionaries Pragmatics Support vector machines Hidden Markov models

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Trend Extraction Method Using Co-occurrence Patterns from Tweets

Trend Extraction Method Using Co-occurrence Patterns from Tw...

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IIAI international conference on advanced Applied Informatics (IIAIAAI)

作者： Shotaro Noda Katsuhide Fujita Department of Computer and Information Sciences Tokyo University of Agriculture and Technology Koganei Tokyo Japan

ISBN: (纸本)9781479999590

We can feel free to post the information such as personal events using Twitter one of the popular micro-blogging service. However, the collection of information is limited by the human power only, therefore, the method of collecting trends automatically is important. Existing web services focus on the number of tweets for getting trends. However, a time lag was occurred for extracting the trends. In this paper, we propose the trend extraction method for twitter in real time by paying attention to the co-occurrence patterns. Our system can learn the new key patterns at the same time not only using the picked up trend biterms, previously. Furthermore, we evaluate the efficiency of the proposed method of extracting the trends from twitter by the comparative experiments. We demonstrate that our proposed method can extract accurately and widely without time-lags compared with the existing service (Real time Yahoo Search).

关键词： Market research Twitter Real-time systems HTML Computers web services Natural language processing

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