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Dive into the research topics where Junxia Guo is active.

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Featured researches published by Junxia Guo.


international world wide web conferences | 2010

Deep mashup: a description-based framework for lightweight integration of web contents

Hao Han; Junxia Guo; Takehiro Tokuda

In this paper, we present a description-based mashup framework for lightweight integration of Web contents. Our implementation shows that we can integrate not only the Web services but also the Web applications easily, even the Web contents dynamically generated by client-side scripts.


international conference on web engineering | 2010

Partial information extraction approach to lightweight integration on the web

Junxia Guo; Prach Chaisatien; Hao Han; Tomoya Noro; Takehiro Tokuda

We present partial information extraction approach to light-weight integration on the Web. Our approach allows us to extract dynamic contents created by scripts as well as static HTML contents. Our approach has three application areas: automatic generation of Web services from Web applications, automatic integration of Web applications with Web services on desktop computers, and automatic integration of mobile phone applications with Web applications and Web services on mobile phones.


symposium on search based software engineering | 2016

Search Based Test Suite Minimization for Fault Detection and Localization: A Co-driven Method

Jingyao Geng; Zheng Li; Ruilian Zhao; Junxia Guo

Fault detection and fault localization are two independent but important processes in software testing, in which test cases and associated information are usually used. As there are different goals of the two processes, i.e., detect faults early and locate faults accurately, different information of test cases are required and thus different subsets of test cases are selected to achieve the goals. In general, fault localization is adjacent to fault detection. However, independence of these two processes will restrict the automatic process of software testing. This paper proposes an automatic approach to combining fault detection and fault localization, where a multi-objective optimization for test suite minimization is presented to balance and achieve the both goals. Empirical studies show the proposed method can give consideration to both fault detection and fault localization with a high test suite reduction ratio.


web information systems engineering | 2010

Towards flexible mashup of web applications based on information extraction and transfer

Junxia Guo; Hao Han; Takehiro Tokuda

Mashup combines information or functionality from two or more existing Web sources to create a new Web page or application. The Web sources that are used to build mashup applications mainly include Web applications and Web services. The traditional way of building mashup applications is using Web services by writing a script or a program to invoke those Web services. To help the users without programming experience to build flexible mashup applications, we propose a mashup approach of Web applications in this paper. Our approach allows users to build mashup applications with existing Web applications without programming. In addition, with our approach users can transfer information between Web applications to implement consecutive query mashup applications. This approach is based on the information extraction, information transfer and functionality emulation methods. Our implementation shows that general Web applications can also be used to build mashup applications easily, without programming.


Archive | 2015

Prediction of Query Satisfaction Based on CQA-Oriented Browsing Behaviors

Junxia Guo; Hao Han; Cheng Gao; Takashi Nakayama; Keizo Oyama

Browsing satisfaction with community-based websites has been studied mainly based on webpage content. In this paper, we exploratively analyze the factors affecting the browsing behaviors of client users to predict the query satisfaction level in a Community-based Question Answering (CQA) website. The experiment’s results show that different categories of information are affected by different factors, and explain that considering the factors of browsing behaviors could improve the prediction accuracy of query satisfaction.


International Journal of Web Engineering and Technology | 2014

A method for facilitating end-user mashup based on description

Junxia Guo; Hao Han

The development of mashup technology has allowed people to more efficiently create web applications with existing information drawn from the web. However, not every mashup developer can use any given web source in a mashup. There are two technological problems. First, it is not always possible to reuse a given source. There are web applications and web services, two kinds of sources. The traditional way of reusing web services is to write a program. Relevant and applicable approaches are needed in order to reuse web applications. Second, it must be possible for users without programming knowledge to reuse an existing web source. In this paper, we propose an effective approach that allows end-users to build mashup applications with almost any part(s) of web applications and REST web services without programming. Our approach supports the more flexible transfer of information between components, which can be achieved via a web application or REST web service.


International Journal of Software Engineering and Knowledge Engineering | 2013

ANALYSIS AND DESIGN OF PROGRAMMATIC INTERFACES FOR INTEGRATION OF DIVERSE WEB CONTENTS

Junxia Guo; Hao Han

The technology that integrates various types of Web contents to build a new Web application through end-user programming is widely used nowadays. However, the Web contents do not have a uniform interface for accessing the data and computation. Most of the general Web users access information on the Web through applications until now. Hence, designing a uniform and flexible programmatic interface for integration of different Web contents is unavoidable. In this paper, we propose an approach that can be used to analyze Web applications automatically and reuse the information of Web applications through the programmatic interface we designed. Our approach can support the flexible integration of Web applications, Web services and Web feeds. In our experiments, we use a large number of Web pages from different types of Web applications and achieve the integration by the proposed programmatic interfaces. The experimental results show that our approach brings to the end-users a flexible and user-friendly programming environment.


international conference on web engineering | 2010

Description-based mashup of web applications

Junxia Guo; Takehiro Tokuda

The World Wide Web has become an almost limitless source of information. Mashup combines information or functionality from two or more existing Web sources to create a new Web page or application. Unfortunately, it is difficult for users without programming experiences to build mashups with existing Web applications, especially when they want to transfer information between Web applications which are used to build mashup. In this paper, we propose a description-based mashup approach for personal use which allows users without programming experiences to build mashup applications with existing Web applications as well as to transfer information between Web applications. This approach is based on information extraction, information transfer and functionality emulation methods. Our implementation shows that general Web applications can be used to build mashup applications easily without programming.


Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI | 2010

A New Partial Information Extraction Method for Personal Mashup Construction

Junxia Guo; Hao Han; Takehiro Tokuda


web information system and application conference | 2013

Analyzing Query Trails and Satisfaction Based on Browsing Behaviors

Junxia Guo; Cheng Gao; Nanshan Xu; Gang Lu; Hao Han

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Takehiro Tokuda

Tokyo Institute of Technology

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Gang Lu

Beijing University of Chemical Technology

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Ruilian Zhao

Beijing University of Chemical Technology

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Keizo Oyama

National Institute of Informatics

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Cheng Gao

Beijing University of Chemical Technology

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Jingyao Geng

Beijing University of Chemical Technology

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Nanshan Xu

Beijing University of Chemical Technology

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Zheng Li

Beijing University of Chemical Technology

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