• College of Information Science & Technology

Division of Web Science and Technology

Introduction

Web Science and Technology (WebST) is a new emerging discipline that takes the Web as its primary object of study and engineering. Exploring the interactions among the complex technical, engineering, and social aspects of the Web, our graduate-level program rests on computing technologies to build and extend the Web, engineering techniques to develop large-scale applications, and analytical methodologies for understanding its nature and impact on various aspects of human society.

Being the largest human information construct in history, the Web can be seen as the brain of the man kinds. One can draw an analogy between WebST and Brain Science and Engineering (BSC) as they both tackle complex network structures at different levels of abstraction and deal with data/information/knowledge flows internally as well as in conjunction with the surroundings. Yet WebST differs from BSC because it interacts with completely autonomous and massively parallel human populations. A fundamental question for WebST is in what ways the Web has to evolve to best serve human beings.

WCU project, World Class University Initiative

WCU is a national initiative for the future growth engines of Korea. IT industry, a core growth power, moves its center of gravity from hardware to software and academia needs to comply with it by changing its educational paradigm and more focusing on software sector. In accordance with the initiative, the division of web science and technology has been established and financially sponsored by NRF. It mainly targets to perform world-class research and nurture high-quality human resources in IT/software areas.

Areas of Concentration in Curriculum

Common Prerequisites: Experience in programming and some familiarity with web development technology such as HTML, JavaScript, and at least one of ASP.NET, JSP, or PHP.
Area 1: Fundamentals
Introduction to Web Science, analysis/research methodologies, web architecture, interdisciplinary thinking
Area 2: Enabling Technologies for the Web infra
Computer networks, cloud computing, visualization, distributed computing
Area 3: Information Storage and Access
Semantic web, ontology, search technologies, human language technologies, human-information interactions, end-user programming
Area 4: Social and collaborative applications and their Analysis
Social tagging, media sharing, blogging and wikis, social dynamics, social network analysis

Research Areas

Web Platform
Energy-efficient system architecture
Mobile and ubiquitous platforms
Cache-obvious computing
Overlay architecture

Web Contents Processing and Utilization
Ontology engineering, natural language processing
Management and retrieval infra for semantic web and social network
Web content protection and authentication
Web mining and search
Spatio-temporal data, data mining, privacy
Distributed ontology and creative IR

Human-centered Web Exploration
Social network analysis & infra
Information presentation and visualization
Social network modelling
Mobile resource allocation and analysis

Web Software Engineering.
Web-base software development
SW architecture and quality assurance
End user programming