724 research outputs found
Similarity-Based Classification in Partially Labeled Networks
We propose a similarity-based method, using the similarity between nodes, to
address the problem of classification in partially labeled networks. The basic
assumption is that two nodes are more likely to be categorized into the same
class if they are more similar. In this paper, we introduce ten similarity
indices, including five local ones and five global ones. Empirical results on
the co-purchase network of political books show that the similarity-based
method can give high accurate classification even when the labeled nodes are
sparse which is one of the difficulties in classification. Furthermore, we find
that when the target network has many labeled nodes, the local indices can
perform as good as those global indices do, while when the data is sparce the
global indices perform better. Besides, the similarity-based method can to some
extent overcome the unconsistency problem which is another difficulty in
classification.Comment: 13 pages,3 figures,1 tabl
Web Document Models for Web Information Retrieval
http://www.emse.fr/OSWIR05/2005-oswir-p19-beigbeder.pdfInternational audienceDifferent Web document models in relation to the hyper- text nature of the Web are presented. The Web graph is the most well known and used data extracted from the Web hy- pertext. The ways it has been used in works in relation with information retrieval are surveyed. Finally, some consider- ations about the integration of these works in a Web search engine are presented
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μ νμ΅μλ€μ μμ΄ μμ€ λ° λ°°κ²½μ§μ, μ΄ν΄λ μΈ‘λ©΄μμ μ°¨μ΄λ₯Ό 보μμΌλ©° μμ΄ νμ΅ μμ€κ³Ό νμμ λ°λΌ μ ν©ν μ 보 νμ© μ λ΅ λ° μ½κΈ° μ λ΅μ λ°μ μμΌκ°λ λͺ¨μ΅μ 보μλ€. νΉν, νμ΅μλ€μ΄ μ¨λΌμΈ νμ΄νΌλ§ν¬ μλ£λ₯Ό νμ©νλ©° μ½κΈ°μ μ΄λ €μμ ν΄κ²°νλ κ³Όμ μμ μΈμ΄μ μ§μμ μ΅λ, λ°°κ²½μ§μμ μΆμ λ±μ μΈμ§μ λ³νμ λλΆμ΄ νμ΅μ κ°μΈμ μμ΄ μ½κΈ°μ λν ν₯λ―Έ(reading interest)μ μμ κ°(self-confidence), μκΈ° ν¨λ₯κ°(self-efficacy)λ₯Ό λλΌλ λ±μ μ μμ μΈ λ³νλ₯Ό κ΄μ°°ν μ μμλ€. λΉλ‘, μ°Έμ¬μμ μμ΄ νμ΅ μμ€μ λ°λΌ μ λ΅μ μ¬μ©νλ μμμ μμ΄μλ μ°¨μ΄κ° μμμΌλ μ¨λΌμΈ νμ΄νΌλ§ν¬ μλ£κ° μ΄λ± μμ΄ νμ΅μμ μ 2μΈμ΄ νμ΅μ λ―ΈμΉλ κΈμ μ μΈ μν₯μ νμ
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μ€νΈ κΈ°μ κ³Ό μ¨λΌμΈ μ 보 맀체μ μ λͺ©μ ν΅ν΄ νμλ€μ μ½κΈ° ν₯λ―Έλ₯Ό μ¦μ§μν€λλ° λμμ΄ λ μ μμ κ²μΌλ‘ κΈ°λνλ€.Digital literacy plays an important role in the recent computer-assisted learning environment. The 2015 Revised National English Curriculum introduced digital literacy as a core ability to develop in English language learners. In accordance with the emergence of digital literacy, various online reading materials embedded with hypertexts were provided to EFL learners, which connected the English reading text with diverse online resources existing outside of the text. As readers effective use of online resources in English reading is the core ability of digital literacy, the importance of hypertexts and hyperlinked resources in English reading was examined by many researchers. However, few studies are conducted on young readers use of hyperlinked online resources in English reading. Therefore, this study aims to investigate the use of Korean elementary school students hyperlinked online resources in English reading and their perception of the use of hyperlinked online resources. Exploring readers use and perception of English reading assisted by hyperlinked online information sources, will provide insights into English reading instruction by determining young readers difficulties in reading English and how they solve the difficulties with the effective use of hypertext materials while reading.
For this study, three 6th grade Korean elementary school students voluntarily participated in the sixteen sessions. Throughout the sixteen sessions, students read English science expository texts. Students used three online resources (Naver English Dictionary (NED), Naver Encyclopedia (NE), and YouTube) to assist their reading. Following the reading tasks, semi-structured interviews were conducted to explore the students perception of using hyperlinked resources while reading. The use of hyperlinked online resources in English reading was screen-recorded with Zoom software and the following semi-structured interviews were recorded with an iPhone audio-recording program.
The findings suggested that readers mainly used hyperlinked online resources to support them in addressing lexical difficulties in reading, which in turn resulted in a positive evaluation of the use of online resources in their English reading. By complementing their linguistic deficiencies with the hyperlinked online resources, readers could feel self-confidence and self-efficacy in English reading. The accumulation of experiences in English reading assisted by hyperlinked online resources also elicited reading interest among readers, which proposed an optimistic view of turning readers into life-long readers.
Throughout the sixteen sessions, readers also developed online reading strategies such as locating the appropriate information they needed or finding an effective way to use hyperlinked resources. Although the degree of the potential of hyperlinked online resources differed among individual learners due to their differences in language proficiency or prior knowledge, the use of online resources in reading resulted in their overall cognitive and affective change in English reading.
Although this study had some limitations concerning the methodological approach of the research, it will contribute to a better understanding of Korean elementary school students English reading behavior with the potential benefits of hyperlinked online resources in English learning.CHAPTER 1. INTRODUCTION 1
1.1 The Background of the Study 1
1.2 The Purpose of the Study 6
1.3 The Organization of the Thesis 7
CHAPTER 2. LITERATURE REVIEW 8
2.1 Hypertext in Online Reading 8
2.1.1 The Features of Hypertext in Online Reading 8
2.2 Online Reading Strategies 11
2.3 Factors Influencing Hypertext Reading 15
2.3.1 External Factors in Hypertext Reading 15
2.3.2 Internal Factors in Hypertext Reading 19
2.4 Limitations of Previous Research 24
CHAPTER 3. METHODOLOGY 27
3.1 Participants 28
3.2 Instruments 33
3.2.1 Background Information Questions 33
3.2.2 Hypertexts 34
3.2.3 Comprehension Questions 45
3.2.4 Semi-structured Interview Questions 45
3.2.5 Final Interview Questions 46
3.3 Data Collection 47
3.3.1 Think aloud Protocol 49
3.4 Data Transcription 51
3.5 Data Analysis 53
3.5.1 Analysis of Reading Process 53
3.5.2 Analysis of Interviews 56
CHAPTER 4. RESULTS AND DISCUSSION 59
4.1 Comparison of the Three Readers Use of Hyperlinked Online Resources in English Reading 60
4.1.1 Readers' Use of Pre-Determined Hyperlinked Online Resources in English Reading 62
4.1.2 Readers' Voluntary Use of Hyperlinked Online Resources in English Reading 74
4.1.3 Readers Perceptions of Hyperlinked Online Resource Use in English Reading 94
4.2 The Potentials of English Reading Assisted by Hyperlinked Online Resources 102
4.2.1 The Positive Influence of Hyperlinked Online Resources on EFL Readers' Cognitive and Affective Domain 102
4.2.2 The Value of Reading Experience and Practice 105
CHAPTER 5. CONCLUSION 108
5.1 Major Findings and Implications 108
5.2 Limitations and Suggestions for Further Research 111
REFERENCES 114
APPENDICES 123
ABSTRACT IN KOREAN 133μ
Scholarly publishing and argument in hyperspace
The World Wide Web is opening up access to documents and data for scholars. However it has not yet impacted on one of the primary activities in research: assessing new findings in the light of current knowledge and debating it with colleagues. The ClaiMaker system uses a directed graph model with similarities to hypertext, in which new ideas are published as nodes, which other contributors can build on or challenge in a variety of ways by linking to them. Nodes and links have semantic structure to facilitate the provision of specialist services for interrogating and visualizing the emerging network. By way of example, this paper is grounded in a ClaiMaker model to illustrate how new claims can be described in this structured way
VAS (Visual Analysis System): An information visualization engine to interpret World Wide Web structure
People increasingly encounter problems of interpreting and filtering mass quantities of information. The enormous growth of information systems on the World Wide Web has demonstrated that we need systems to filter, interpret, organize and present information in ways that allow users to use these large quantities of information. People need to be able to extract knowledge from this sometimes meaningful but sometimes useless mass of data in order to make informed decisions. Web users need to have some kind of information about the sort of page they might visit, such as, is it a rarely referenced or often-referenced page? This master\u27s thesis presents a method to address these problems using data mining and information visualization techniques
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