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Multi-dimensional analysis of political language

Multi-dimensional analysis of political language

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7th FTRA international conference on Future information technology, FutureTech 2012

作者： Gîfu, Daniela Cristea, Dan Alexandru Ioan Cuza University 16 General Berthelot St 700483 Lasi Romania Institute for Theoretical Computer Science Romanian Academy Iasi branch 2 T. Codrescu St 70048 Lasi Romania

ISBN: (纸本)9789400745155

this paper presents a method for the valuation of discourses from different linguistic perspectives: lexical, syntactic and semantic. We describe a platform discourse analysis tool (DAT) which integrates a range of language processing tools with the intent to build complex characterisations of the political discourse. the idea behind this construction is that the vocabulary and the clause structure of the sentence betray the speaker's level of culture, while the semantic classes mentioned in a speech characterises the speaker's orientation. When the object of study is the political discourse, an investigation on these dimensions could put in evidence features influencing the electing public. the method is intended to help both political speakers to improve their discourse abilities, by comparing their speeches with those of personalities of the public life in the past, and the public at large by evidencing hidden aspects of the linguistic and intellectual abilities of their candidates. © Springer Science+Business Media Dortdrecht 2012.

关键词： Syntactics

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UDRST: A novel system for unlabeled discourse parsing in the RST framework

UDRST: A novel system for unlabeled discourse parsing in the...

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8th international conference on Natural language processing, JapTAL 2012

作者： Xuan Bach, Ngo Le Minh, Nguyen Shimazu, Akira School of Information Science Japan Advanced Institute of Science and Technology 1-1 Asahidai Nomi Ishikawa 923-1292 Japan

ISBN: (纸本)9783642339820

this paper presents UDRST, an unlabeled discourse parsing system in the RST framework. UDRST consists of a segmentation model and a parsing model. the segmentation model exploits subtree features to rerank N-best outputs of a base segmenter, which uses syntactic and lexical features in a CRF framework. In the parsing model, we present two algorithms for building a discourse tree from a segmented text: an incremental algorithm and a dual decomposition algorithm. Our system achieves 77.3% in the unlabeled score on the standard test set of the RST Discourse Treebank corpus, which improves 5.0% compared to HILDA [6], a state-of-the-art discourse parsing system. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Forestry

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Learning to classify service data with latent semantics

Learning to classify service data with latent semantics

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7th international conference on Rough Sets and Knowledge technology, RSKT 2012

作者： Luo, Le Li, Li Wang, Ying Faculty of Computer and Information Science Southwest University 400715 Chongqing China

ISBN: (纸本)9783642318993

Service discovery plays an important role in service composition. In order to achieve better performance of service discovery, often, service classification should be in place to group available services into different classes. While having a powerful classifier at hand is essential for the task of classification, existing methods usually assume that the class-labels of services are available in prior, which is not true. Traditional clustering methods consume a great deal of time and resources in processing web service data and result in poor performance, because of the high-dimensional and sparse characteristics of WSDL documents. In this paper, Latent Semantic Analysis (LSA) is combined with the Expectation-Maximization (EM) algorithm to compensate for the poor performance of a single learning model. the obtained class-labels are then used by the Support Vector Machine (SVM) classifier for further classification. We evaluate our approach based on real world WSDL files. the experimental results reveal the effectiveness of the proposed method in terms of accuracy and quality of service clustering and classification. © 2012 Springer-Verlag.

关键词： Support vector machines

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Dynamic health level 7 packetizer for on-the-fly integrated healthcare enterprises (IHE) in disaster zones

Dynamic health level 7 packetizer for on-the-fly integrated ...

引用

19th international conference on Neural information processing, ICONIP 2012

作者： Chaudhry, Junaid Ahsenali Qidwai, Uvais A. Malrey, Lee Department of Computer Science and Engineering Qatar University Doha Qatar Center for Advanced Image and Information Technology School of Electronics and Information Engineering ChonBuk National University ChonBuk Korea Republic of

ISBN: (纸本)9783642344749

the advent of standards i.e. IEEE 11073 for device connectivity, Health Level 7 (HL7) etc. provide an assimilating platform for medical devices and seamless data flow among modern Health information Systems (HIS). However, to date, these standards are either not widely accepted or lack the support of 'on-the-fly' formation of HIS in a disaster zone. In a situation where hybrid medical (standard compliant and the otherwise) devices are in operation, incomplete and ambiguous data can lead to fatal misconduct on the part of technology. In order to eliminate this problem, we propose an HL7 compliant policy engine in support of HL7 Reference information Model (RIM). the policy engine is used for rich policy expression, vivid XML policies for HL7 compliant devices, and performance enhancement. Due to dynamic nature of on-the-fly HIS in a disaster zone, it is very costly to manage the change and keep track of authentic HIS devices. We use Java language to extend the HL7 Reference information Model (RIM) in order to create/modify policies instead of scripting languages to overcome the complexity and interoperability. © 2012 Springer-Verlag.

关键词： information theory

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Implementing web of data with VWBE & H2X

Implementing web of data with VWBE & H2X

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IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Chun-Hsiung Tseng Department of Computer Information and Network Engineering Lunghwa University of Science and Technology Taoyuan Taiwan

Today, the explosive amount of information on the web has become the major challenge for web searchers. Despite the improvements of search engine technologies, searching for specific information is sometimes still an uneasy task. there are two major problems: first, the relatedness of information is not handled by search engines, and second, HTML is a presentation-oriented language, not an information-oriented one. the former issue results in inconvenience. Result list from most modern search engines contain standalone web pages, however, multiple web pages can be needed to solve a web user's request. On the other hand, the latter issue results in difficulties for processing the returned data. thinking of the web as a huge set of databases, a more efficient approach for accessing data than the current search engine is needed. In this paper, a mechanism and implementation based on the author's previous work, H2X and VWBE, to address these issues is proposed. the result is a better framework for realizing the concept of web of data.

关键词： web pages Navigation XML HTML Grammar Search engines Software agents

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Ontology learning method for web services clustering

Ontology learning method for Web services clustering

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international conference on Computer Sciences and Convergence information technology (ICCIT)

作者： B. T. G. S. Kumara Incheon Paik Gyeongmu Lee School of Computer Science and Engineering University of Aizu Aizuwakamatsu Fukushima Japan

web service discovery is becoming a challenging and time consuming task due to large number of web services available on the Internet. Organizing the web services into functionally similar clusters is one of a very efficient approach for reducing the search space. To cluster web services, take out the web services description languages documents and extract the features (e.g., service name) to measure the similarities. Complex terms are used as web service features in some contexts. Current approaches do not consider about the hidden semantic pattern exists within the complex terms. We present an approach to cluster the web services into functionally similar web service clusters that mine web Service Description language (WSDL) documents and generate ontologies by using complex terms for the measuring purpose of similarity. We use both logic based reasoning and edge base similarity measuring techniques for calculating the similarity using generated ontology. Experimental results show our clustering approach with ontology learning, has better performance comparing with approaches which are not considering about the latent pattern exists within the complex terms.

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A partitioning technique for improving the performance of PageRank on Hadoop

A partitioning technique for improving the performance of Pa...

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international conference on Computer Sciences and Convergence information technology (ICCIT)

作者： Hoon Choi Jungho Um Hwamook Yoon Minho Lee Yunsoo Choi Wongoo Lee Sakwang Song Hanmin Jung Information & Software Research Center KISTI Daejeon South Korea

there are a lot of research results in large scale graph analysis on Hadoop. the performance of the graph analysis based on Hadoop is impacted by data partitioning. the effectiveness of data partitioning depends on how the data partitioning maintains data locality in each node of cluster, and this would be different from the problems faced with. One way of data partitioning known to be effective is partitioning data by domains. For instance, this technique could be very useful in partitioning data by areas analyzing web graphs. But this kind of improvement from the data partitioning is limited to specific problems. In this paper, we propose a data partitioning technique based on semi-clustering for analyzing web graphs with PageRank algorithm on Hadoop. With experiment, PageRank computation with our partitioning technique improves the performance, as the number of iterations increases. this method can be very effective in the case of large scale graph processing.

关键词： Hadoop PageRank data partitioning semi-clustering web graph

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A middleware for Problem Solving Environment using cooperation of web based agents: WAPSE

A middleware for Problem Solving Environment using cooperati...

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international conference on Computer Sciences and Convergence information technology (ICCIT)

作者： Yoshikazu Hayase Shigeo Kawata Department of Electronics and Computer Engineering Toyama National College of Technology Toyama Japan

ISBN: (纸本)9781467308946

A PSE (Problem Solving Environment), called as WAPSE, is constructed based on cooperation of web modules, distributed on one or more servers. WAPSE helps users to concentrate on problem solving. A user interface as part of PSE of WAPSE is built on a web browser for an easy use of PSE. Simple processing combining multiple modules is already possible, because web service technologies have since progressed. Various web servers connected to the Internet can share each resource. However, it is difficult to build a web based agents' system in primitive web environments. It is troublesome to deploy a large numbers of web based agents to each computer all at once. the debugging of a web based agent and change of the processing computers are common problems at a development stage. therefore, we developed WAPSE so that a developer more easily described a web based agent. WAPSE is a middleware for PSE using cooperation of a simple web based agents' group handled on one or more web servers. though the architecture is simple, WAPSE behaves in a complicated way because it makes distributed cooperation between agents in async sequentially. One simple web based agent's behavior is predictable because a simple web based agent is carried out simply. However, behavior becomes complicated even at cooperation of two simple web based agents. Furthermore, behavior by the cooperation of many simple web based agents is complicated. WAPSE is extended to include mobile terminals as processing computers because recently various mobile terminals are popular. therefore, WAPSE behaves in a more complicated way.

关键词： web Based System Distributed processing Agent PSE (Problem Solving Environment) Agents Distributed processing web search engines webs World Wide web congenital web Problem solving Online resources web Browser based User Interface Device Component Middleware mobile terminal Computers

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Type-based HPSG analysis of Arabic verbal declension

Type-based HPSG analysis of Arabic verbal declension

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international conference on Electrical and Computer Engineering (ICECE)

作者： Mahmudul Hasan Masum Muhammad Sadiqul Islam M. Sohel Rahman Reaz Ahmed Computer Science & Engineering Bangladesh University of Engineering and Technology Dhaka Bangladesh

Arabic language is very rich in grammatical declension of nouns and verbs. In classical Arabic, there are have classes of verb lexemes and these are declined in four ways. Modeling the morphological effect of such a rich declension system is a challenging problem and is essential for processing of Arabic language. In this paper, we use Head-Driven Phase Structure Grammar (HPSG) to analyze the declension system of Arabic verbs based on lexical types. We design lexical type hierarchy of Arabic verbs and show the mapping of lexical type to declension type from this type hierarchy. We also design construction rules to capture the morphological and syntactic effect of declension types dynamically. Finally, we have implemented the lexical type hierarchy and construction rules in the TRALE platform to validate the proposed formalism. this work effectively extends the capabilities of existing HPSG framework for supporting declension of verbs in Arabic.

关键词： Mood World Wide web

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A prototype system to scrutinize PHP code injection attacks

A prototype system to scrutinize PHP code injection attacks

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international conference on Computer Science & Education (ICCSE)

作者： Deepak Singh Tomar Department of Computer Science and Engineering Maulana Azad National Institute of Technology Bhopal India

ISBN: (纸本)9781467302418

the growth of web applications on Internet has led to the increase in cyber crime. the attacker may inject malicious code into text boxes of vulnerable web application such as guest book, feedback form, search box, etc. which may be further executed by web server. the execution of system call and API on web server by attacker through PHP code injection may damage the file system or leaks configuration information of web server. PHP code injection attacks have become more extensive in nature due to the emergence of dynamic web paradigms. Dynamic features and functionalities of a web site are controlled through PHP language. Hence, the use of PHP language (which itself carries vulnerabilities) in dynamic web page results in higher possibilities of successful execution of code injection attacks. the aim of this paper is twofold. Firstly, to understand the web application vulnerabilities related to PHP code injection attack, two PHP code injection attack scenarios have been developed. Secondly, to accurate and fast incident determination from gathered evidences a tagging system based on domain dictionary has been developed. the proposed prototype system shall be helpful for law enforcement agency to effectively gather and analyze evidences subjected to PHP code injection attacks.

关键词： web servers Security Dictionaries Tagging Prototypes File systems

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