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Searching the web by meaning: A case study of lithuanian news websites 7

引用

7th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015

作者： Vileiniškis, Tomas Šukys, Algirdas Butkienė, Rita Department of Information Systems Kaunas University of Technology Studentu 50 Kaunas Lithuania

ISBN: (纸本)9783319527574

the daily growth of unstructured textual information created on the web raises significant challenges when it comes to serving user information needs. On the other hand, evolving Semantic web technology has influenced a wide body of research towards meaning-based text processing and information retrieval methods, that go beyond classical keyword-driven approaches. However, most of the work in the field targets English as the primary language of interest. Hence, in this paper we present a very first attempt to process unstructured Lithuanian text at the level of ontological semantics. We introduce an ontology-based semantic search framework capable of answering structured natural Lithuanian language questions, discuss its language-dependent design decisions and draw some observations from the results of a recent case study carried out over domain-specific Lithuanian web news corpus. © Springer international Publishing AG 2016.

关键词： Ontology

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the Application and Improvement of ID3 Algorithm in web Log Data Mining 11th

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11th international Scientific conference on Future information technology (FutureTech) / 10th international conference on Multimedia and Ubiquitous Engineering (MUE)

作者： Feng, Weihua Cai, Xingquan Henan Judicial Police Vocat Coll Zhengzhou Peoples R China North China Univ Technol Beijing Peoples R China

ISBN: (纸本)9789811015366;9789811015359

Data mining comes into being as a new area of research, web data mining technology is known as one of the major information processing technology in the future. ID3 algorithm is a often used classical algorithm in data mining technology, which is mainly applied to the implementation of data mining. It always creates the smallest tree structure and is proved that the system design has good effect to transaction analysis of log files by proofing instances, this system is effective in the log files analysis and improvement of ID3 algorithm.

关键词： Data mining Log mining ID3 algorithm web log analysis tools XML language

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A Transaction Model for Executions of Compositions of Internet of things Services 7

A Transaction Model for Executions of Compositions of Intern...

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7th international conference on Ambient Systems, Networks and Technologies (ANT) / 6th international conference on Sustainable Energy information technology (SEIT)

作者： Vidyasankar, K. Mem Univ Newfoundland Dept Comp Sci St John NF A1B 3X5 Canada

Internet of things (IoT) is about making "things" smart in some functionality, and connecting and enabling them to perform complex tasks by themselves. the functionality can be encapsulated as services and the task executed by composing the services. Two noteworthy functionalities of IoT services are monitoring and actuation. Monitoring implies continuous executions, and actuation is by triggering. Continuous executions typically involve stream processing. Stream input data are accumulated into batches and each batch is subjected to a sequence of computations, structured as a dataflow graph. the composition may be processing several batches simultaneously. Additionally, some non-stream OLTP transactions may also be executing concurrently. thus, several composite transactions may be executing concurrently. this is in contrast to a typical web services composition, where just one composite transaction is executed on each invocation. therefore, defining transactional properties for executions of IoT service compositions is much more complex than for those of conventional web service compositions. In this paper, we propose a transaction model and a correctness criterion for executions of IoT service compositions. Our proposal defines relaxed atomicity and isolation properties for transactions in a flexible manner and can be adapted for a variety of IoT applications. (C) 2016 the Authors. Published by Elsevier B.V.

关键词： Internet of things services transactions atomicity isolation stream data processing

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Preface

Communications in Computer and Information Science

引用

Communications in Computer and information Science 2018年 930卷 V页

作者： Ustalov, Dmitry Filchenkov, Andrey Pivovarova, Lidia Žižka, Jan Data and Web Science Group University of Mannheim MannheimBaden-Württemberg Germany ITMO University St. Petersburg Russia University of Helsinki Helsinki Finland Mendel University Brno Czech Republic

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Classifying Sentiments in Nepali Subjective Texts 7

Classifying Sentiments in Nepali Subjective Texts

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7th international conference on information, Intelligence, Systems & Applications (IISA)

作者： thapa, Lal Bahadur Reshmi Bal, Bal Krishna Kathmandu Univ Dept Comp Sci & Engn Dhulikhel Nepal Univ Houston Dept Comp Sci Houston TX 77204 USA Kathmandu Univ Dept Comp Sci & Engn Informat & Language Proc Res Lab Dhulikhel Nepal

ISBN: (纸本)9781509034291

With the advent of the online social media such as Facebook, Twitter and blogs, the way people perceive things around them has dramatically changed. One simple example could be how people today buy a mobile phone. If in the past, shopping involved moving from one store to the other, these days one cares more about the opinions expressed by people in product reviews rather. there is an increasing tendency to leave one's opinion(s) on a product, service or any entity on the web thus opening doors for an interesting yet challenging field of Sentiment Analysis. Much work has been done in the last decade on Sentiment Analysis not surprisingly for English because of the availability of a large number of resources but other languages are also gradually taking pace, some of them already in advanced stages and already developing competing resources and applications compared to English. Nepali opinionated content is also increasing rapidly in the last few years. Nepal fares as one of the countries with the highest number of Facebook subscribers. Online presence and voicing one's opinion in the Internet through different social media platforms has become a norm both for individuals or businesses. Nepali is a morphologically rich, under-resourced and a free word order language. Although some works related to the language and technology have been done in the past by institutions like Madan Puraskar Pustakalayal and language technology Kendra', Nepali still remains an under-resourced language as it has very few tools and annotated corpus available for the language. this makes it challenging and difficult to do any linguistic computational works in the language including Sentiment Analysis. In this work, we look into applying three Machine Learning classifiers, namely Support Vector Machine, Multinomial Naive Bayes and Logistic Regression for developing a model to classify book and movie reviews written in Nepali into "Positive" and "Negative". We evaluate and validate our model u

关键词： Morphology Machine Learning Support Vector Machine Multinomial Naive Bayes Logistic Regression cross-validation

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Cognitive task performance in technology-enhanced learning environments 16

Cognitive task performance in technology-enhanced learning e...

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16th IEEE international conference on advanced Learning Technologies (ICALT)

作者： Cockerham, Debbie Schellen, Mike Chang, Zhengsi Lin, Lin Univ North Texas Denton TX 76203 USA Univ Texas Dallas Dallas TX USA

ISBN: (纸本)9781467390415

this study investigated the impact of technology generated listening environments upon processing of cognitive information. the main question asked was: To what extent does background sound impact accuracy on a cognitive task? A total of 217 museum-goers (127 f, 90 m) completed a language categorization task in four different listening environments: rain sounds;fast music;calm music;and silence. Overall, task scores during the four listening conditions were similar, with male scores stronger than female in every condition. Significant differences were seen between children ages 7-12 and teenage and adult groups;and between young adults and adults over 60 years. Strong, but not significant, differences were noted between older teenagers (16 to 19 years) and the youngest adults (20 to 30 years). In addition, strong correlations were seen between the four sound conditions and personal media usage, as well as between sound conditions and years of musical training. Findings support the duplex mechanism theory 1151, and suggest that the ability to screen out irrelevant sounds may be more controllable through greater top-down task engagement.

关键词： technology media usage dual tasking cognitive load duplex mechanism theory information processing

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Semi-automatic Derivation of RESTful Interactions from Choreography Diagrams 17th

Semi-automatic Derivation of RESTful Interactions from Chore...

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17th international conference on Business Process Modeling, Development, and Support / 21st international conference on Exploring Modeling Methods for Systems Analysis and Design Held at conference on advanced information Systems Engineering

作者： Nikaj, Adriatik Pittke, Fabian Weske, Mathias Mendling, Jan Univ Potsdam Hasso Plattner Inst Potsdam Germany WU Vienna Inst Informat Business Vienna Austria

ISBN: (纸本)9783319394299;9783319394282

Enterprises reach out for collaborations with other organizations in order to offer complex products and services to the market. Such collaboration and coordination between different organizations, for a good share, is facilitated by information technology. the BPMN choreography diagram is a modeling language for specifying the exchange of information and services between different organizations at the business level. Recently, there is a surging use of the REST architectural style for the provisioning of services on the web, but no systematic engineering approach to design their collaboration. In this paper, we address this gap by defining a semi-automatic method for the derivation of RESTful interactions from choreography diagrams. the method is based on natural language analysis techniques to derive interactions from the textual information in choreography diagrams. the proposed method is evaluated in terms of effectiveness and considered to be useful by REST developers.

关键词： Choreography diagram RESTful interactions Natural language analysis

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Development of HMM-based Snoring Recognition System for web Services

Development of HMM-based Snoring Recognition System for Web ...

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7th international conference on information and Communication technology Convergence (ICTC) - Towards Smarter Hyper-Connected World

作者： Ko, Youjung Hong, Insuk Shin, Hyunsoon Kim, Yoonjoong Hanbat Natl Univ Dept Comp Engn Daejeon South Korea ETRI Emot Recognit IoT Res Sect Daejeon South Korea

ISBN: (纸本)9781509013258

this study presents a Hidden Markov Models(HMM)-based snoring recognition system over the web services environment that consists of the snoring model generation, the recognition system, and the remote device. In design phase, a set of HMM model (snoring and non-snoring) is created from the MFCC feature vectors extracted from the sound corpus consisting of snoring sounds and non-snoring sounds. the recognition system is organized to provide the web services that can be called by the remote device in different platforms with any language. In the test, this system shows that snoring and non-snoring sounds were recognized as 93% and 95.2% for speaker-independent case and 98.3% and 99% for the speaker-dependent case, respectively.

关键词： Snoring recognition Snoring recognition web services HMM

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Applying Ant-Inspired Methods in Childbirth Asphyxia Prediction 7th

Applying Ant-Inspired Methods in Childbirth Asphyxia Predict...

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7th international conference on information technology in Bio- and Medical Informatics (ITBAM)

作者： Bursa, Miroslav Lhotska, Lenka Czech Tech Univ Czech Inst Informat Robot & Cybernet EU Prague Czech Republic

ISBN: (纸本)9783319439495;9783319439488

In the today’s world we witness an impact of the ‘Big data’ phenomenon. Although there are many definitions and different scientists view the problem from their perspectives (web, IoT, smartphones, security, GIS, HIS, cloud systems, networks, ...), there is still need for efficient, robust and scalable algorithms that ease processing of such data.

关键词： Data mining Textual data processing Data visualization Ant colony optimization Hospital information system Decision tree induction

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Using Text Analysis on web Filter Data to Explore K-12 Student Learning Behavior 7

Using Text Analysis on Web Filter Data to Explore K-12 Stude...

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7th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication conference (IEEE UEMCON)

作者： Jadav, Jigar Tappert, Charles Kollmer, Michael Burke, Andrew M. Dhiman, Pratik Pace Univ New York NY 10038 USA

ISBN: (纸本)9781509014965

the K-12 learning space is evolving in both the United States and internationally. Students are given increasingly frequent access to the internet through various platforms such as desktop computers, laptops, tablets, and other mobile devices. Some schools are distributing mobile devices to students in order to facilitate the integration of technology in the classroom. these devices have a web filter installed on them to filter inappropriate content irrespective to the Wi-Fi network to which they are connected. these web filters collect logs of student activities on the internet. To date, however, this data has not been systematically analyzed. In this paper we explore data collected from K-12 student generated search queries on different search engines to gain insight into student learning behavior. Term frequency analysis is used to discover the relationship between effective and inappropriate usage of mobile devices in school.

关键词： Mobile Learning Data Analytics Data Mining Term Frequency information Retrieval Natural language processing K-12 Education

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