A Model for Creating Interactive eBooks for eLearning

In recent decades, electronic books have revolutionized the publishing world. In this sense, an area of application is education, where electronic books can be used as educational resources to implement learning strategies about content and in eLearning environments. For this, it is necessary to introduce interactive elements in the electronic books that turn the reader into an active actor in the reading process. However, ebooks have a limitation regarding their creation process. In this sense, the tools can be user-oriented or programmer-oriented. The former are intuitive to use and have user-friendly interfaces, but they offer a reduced number of functionalities to add to books. The second are aimed at programmers, allowing for the implementation of any functionality, but limiting the number of content creators who can use them. The main motivation of this work is to propose an intermediate solution that offers a wide number of functionalities while not requiring deep programming knowledge to use them. In this sense, the solution of this article is novel since it proposes the use of extensible markup language (XML) documents to specify the structure of the electronic book in such a way that its processing will lead to the electronic book.

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On an Enhancement of XML Applied for Mobile E-Commerce

Journal of Electronic Commerce in Organizations ◽

10.4018/jeco.2012070102 ◽

2012 ◽

Vol 10 (3) ◽

pp. 13-26

Author(s):

Xiaomin Zhu ◽

Zhongxiang He ◽

Shengbo Shi

Keyword(s):

Data Processing ◽

Mobile Computing ◽

Web Service ◽

Size Effects ◽

Processing Time ◽

The Internet ◽

Markup Language ◽

Mobile Web ◽

Xml Documents ◽

Extensible Markup

Extensible Markup Language (XML) is a textual markup language which becomes more and more important in the Internet web service. However, some distinct disadvantages exist in XML, such as its nature of redundancy, which consumes the limited network’s bandwidth greatly especially in mobile computing. Considering the characteristics of the mobile commerce, the handsets’ memory capability and data processing time are two problems for XML being applied. This paper studies an enhancement of XML for the purpose of application in mobile e-commerce, called SXML, which means Simple XML to enhance the XML used in mobile web service. It helps XML producers minimizing the size effects of XML, e.g., the size overhead and slow implementation speed. Comprehensive simulations show that the SXML could reduce the size of XML documents and reduce the time of implementation, consequently utilize the bandwidth effectively.

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Mining Association Rules from XML Documents

Enterprise Information Systems ◽

10.4018/978-1-61692-852-0.ch321 ◽

2011 ◽

pp. 879-899

Author(s):

Laura Irina Rusu ◽

Wenny Rahayu ◽

David Taniar

Keyword(s):

Knowledge Discovery ◽

Association Rules ◽

Web Application ◽

Semistructured Data ◽

Markup Language ◽

Xml Documents ◽

Rapid Changes ◽

Extensible Markup ◽

Hidden Knowledge ◽

The Web

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents in the context of rapid changes in the Web knowledge discovery area. The initiative of this study was driven by the fast emergence of XML (eXtensible Markup Language) as a standard language for representing semistructured data and as a new standard of exchanging information between different applications. The data exchanged as XML documents become richer and richer every day, so the necessity to not only store these large volumes of XML data for later use, but to mine them as well to discover interesting information has became obvious. The hidden knowledge can be used in various ways, for example, to decide on a business issue or to make predictions about future e-customer behaviour in a Web application. One type of knowledge that can be discovered in a collection of XML documents relates to association rules between parts of the document, and this chapter presents some of the top techniques for extracting them.

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An Approach to Extracting Knowledge From Legacy Documents

Volume 4: 24th Computers and Information in Engineering Conference ◽

10.1115/detc2004-57677 ◽

2004 ◽

Author(s):

Richard Crowder ◽

Yee-Wie Sim

Keyword(s):

Engineering Design ◽

Human Resource ◽

Extensible Markup Language ◽

Markup Language ◽

Design Environment ◽

Text Search ◽

Xml Documents ◽

Extensible Markup ◽

Access To Data ◽

Efficiency And Reliability

Organisations are increasingly information intensive; hence providing access to data that is trapped in various proprietary forms including catalogues, databases, human resource systems and internally generated documents is now becoming a significant and challenging task. The authors have undertaken research into approaches to capture relevant knowledge from legacy documents. This is achieved by converting the legacy documents to XML, (eXtensible Markup Language), documents where the output is semantically tagged. Once in an XML form, the data can be easily transformed. This paper describes the development of tools to automate the process of converting legacy documents to XML documents. The purpose of this work is improve the efficiency and reliability of Expertise Finder suitable for use within an engineering design environment. We will also show that by querying the resultant XML versions of legacy documents provides better results than a basic text search over the identical documents when applied used within an Expertise Finder.

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Storing XML Documents in Databases

Encyclopedia of Database Technologies and Applications ◽

10.4018/978-1-59140-560-3.ch108 ◽

2005 ◽

pp. 658-664

Author(s):

Albrecht Schmidt ◽

Stefan Manegold ◽

Martin Kersten

Keyword(s):

Data Management ◽

Relational Database ◽

Query Language ◽

Transaction Management ◽

Markup Language ◽

Xml Documents ◽

Management Technology ◽

Extensible Markup ◽

Database Technology ◽

Exchange Data

Ever since the Extensible Markup Language (XML) (W3C, 1998b) began to be used to exchange data between diverse sources, interest has grown in deploying data management technology to store and query XML documents. A number of approaches propose to adapt relational database technology to store and maintain XML documents (Deutsch, Fernandez & Suciu, 1999; Florescu & Kossmann, 1999; Klettke & Meyer, 2000; Shanmugasundaram et al., 1999; Tatarinov et al., 2002; O’Neil et al., 2004). The advantage is that the XML repository inherits all the power of mature relational technology like indexes and transaction management. For XML-enabled querying, a declarative query language (Chamberlin et al., 2001) is available.

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An Interpreter Approach for Exporting Relational Data into XML Documents with Structured Export Markup Language

Journal of Database Management ◽

10.4018/jdm.2012010103 ◽

2012 ◽

Vol 23 (1) ◽

pp. 49-77 ◽

Cited By ~ 9

Author(s):

Joseph Fong ◽

Herbert Shiu

Keyword(s):

Relational Databases ◽

Complete Solution ◽

Relational Data ◽

Data Conversion ◽

Markup Language ◽

Xml Databases ◽

Xml Documents ◽

Business Operations ◽

Almost All ◽

User Friendly

Almost all enterprises use relational databases to handle real time business operations and most need to generate various XML documents for data exchanges internally among various departments and externally with business partners. Exporting data in a relational database to an XML document can be considered a data conversion process. Based on the four approaches for data conversion: Customized program, Interpretive transformer, Translator generator, and Logical level translation, this paper proposes a new interpretive approach using Structured Export Markup Language (SEML) interpreter for converting relational data into XML documents. The frameworks and languages proposed by other researchers are neither generic nor able to generate arbitrary XML documents. Therefore, SEML interpreter is a simple, user friendly, and complete solution with a new mark-up language ? SEML ? for data conversion. The solution can be used as a generic tool for extracting, transforming, and loading (ETL) purposes. In other words, the SEML interpreter is a solution for relational databases similar to what X-Query is for XML databases.

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Introduction

Advances in Data Mining and Database Management - Design, Performance, and Analysis of Innovative Information Retrieval ◽

10.4018/978-1-4666-1975-3.ch007 ◽

2013 ◽

pp. 91-95

Author(s):

Badya Al-Hamadani ◽

Joan Lu

Keyword(s):

World Wide Web ◽

World Wide ◽

Extensible Markup Language ◽

Markup Language ◽

Xml Documents ◽

Extensible Markup

The eXtensible Markup Language (XML) is a World Wide Web Consortium (W3C) recommendation which has widely been used in both commerce and research. As the importance of XML documents increase, the need to deal with these documents increases as well. This chapter illustrates the methodology that has been used throughout the research, discussing all its parts and how these parts were adopted in the research.

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Mining Association Rules from XML Documents

Services and Business Computing Solutions with XML ◽

10.4018/978-1-60566-330-2.ch011 ◽

2010 ◽

pp. 176-196

Author(s):

Laura Irina Rusu ◽

Wenny Rahayu ◽

David Taniar

Keyword(s):

Knowledge Discovery ◽

Association Rules ◽

Web Application ◽

Semistructured Data ◽

Markup Language ◽

Xml Documents ◽

Rapid Changes ◽

Extensible Markup ◽

Hidden Knowledge ◽

The Web

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Structure- and Content-Based Retrieval for XML Documents

Encyclopedia of Information Science and Technology, First Edition ◽

10.4018/978-1-59140-553-5.ch473 ◽

2005 ◽

pp. 2662-2664

Author(s):

Jae-Woo Chang

Keyword(s):

Expressive Power ◽

Basic Element ◽

Multimedia Data ◽

Index Structure ◽

Markup Language ◽

Content Based Retrieval ◽

Document Structure ◽

Xml Documents ◽

Xml Document ◽

Extensible Markup

The XML was proposed as a standard markup language to make Web documents in 1996 (Extensible Markup Language, 2000). It has as good an expressive power as SGML and is easy to use like HTML. Recently, it has been common for users to acquire through the Web a variety of multimedia documents written by XML. Meanwhile, because the number of XML documents is dramatically increasing, it is difficult to reach a specific XML document required by users. Moreover, an XML document not only has a logical and hierarchical structure in common, but also contains its multimedia data, such as image and video. Thus, it is necessary to retrieve XML documents based on both document structure and image content. For supporting the structure-based retrieval, it is necessary to design four efficient index structures, that is, keyword, structure, element, and attribute index, by indexing XML documents using a basic element unit. For supporting the content-based retrieval, it is necessary to design a high-dimensional index structure so as to store and retrieve both color and shape feature vectors efficiently.

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Mining Association Rules from XML Documents

Web Data Management Practices ◽

10.4018/978-1-59904-228-2.ch004 ◽

2007 ◽

pp. 79-103 ◽

Cited By ~ 4

Author(s):

Laura Irina Rusu ◽

Wenny Rahayu ◽

David Taniar

Keyword(s):

Knowledge Discovery ◽

Association Rules ◽

Large Volume ◽

Web Application ◽

Markup Language ◽

Xml Documents ◽

Rapid Changes ◽

Extensible Markup ◽

Hidden Knowledge ◽

The Web

This chapter presents some of the existing mining techniques for extracting association rules out of XML documents, in the context of rapid changes in the Web knowledge discovery area. The initiative of this study was driven by the fast emergence of XML (eXtensible Markup Language) as a standard language for representing semi-structured data and as a new standard of exchanging information between different applications. The data exchanged as XML documents becomes every day richer and richer, so the necessity to not only store these large volume of XML data for later use, but to mine them as well, to discover interesting information, has became obvious. The hidden knowledge can be used in various ways, for example to decide on a business issue or to make predictions about future e-customer behaviour in a web-application. One type of knowledge which can be discovered in a collection of XML documents relates to association rules between parts of the document, and this chapter presents some of the top techniques for extracting them.

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XRecursive

International Journal of Information Retrieval Research ◽

10.4018/ijirr.2011100104 ◽

2011 ◽

Vol 1 (4) ◽

pp. 53-65 ◽

Cited By ~ 1

Author(s):

Mohammed Adam Ibrahim Fakharaldien ◽

Jasni Mohamed Zain ◽

Norrozila Sulaiman ◽

Tutut Herawan

Keyword(s):

Relational Database ◽

Relational Databases ◽

Structured Data ◽

Markup Language ◽

Xml Data ◽

Xml Documents ◽

Extra Effort ◽

Extensible Markup ◽

Promising Solution ◽

Reconstruction Time

Storing XML documents in a relational database is a promising solution because relational databases are mature and scale very well. They have the advantages that in a relational database XML data and structured data can coexist making it possible to build application that involve both kinds of data with little extra effort. This paper proposes an alternative method named Xrecursive for mapping XML (eXtensible Markup Language) documents to RDB (Relational Databases). The Xrecursive method does not need a DTD (Document Text Definition) or XML schema. Further, it can be applied as a general solution for any XML data. The steps and algorithm of Xrecursive are given in details to describe how to use the storing structure to storage and query XML documents in relational database. The authors report their experimental results on a real database, showing that the performance of their Xrecursive algorithm achieves better results in terms of storage size, insertion time, mapping time, and reconstruction time as compared with that SUCXENT and XParent methods. In overall, Xrecursive performs better in term of query performances as compared to the both methods.

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