International Journal of Web Information Systems

Special issue of IJWIS published in early/mid 2007 with extended versions of the best papers from ICEIS and WEBIST in the area of Internet Computing.
Final accepted papers must be written in LaTex as this is the only format accepted by our publisher. Further details can be found in www.troubador.co.uk/ijwis/

The era of web technology has enabled information and application sharing through the internet. The large amount of information on the internet, the large number of users, and the complexity of the application and information types have introduced new areas whereby these issues are explored and addressed. Many of the existing information systems techniques and methods for data sharing, modeling, and system implementation are no longer effective and therefore need major adjustment. This has stimulated the emergence of web information systems.
The goal of a web information system is to provide users with a unified view to transparently and efficiently access, relate, and combine data stored in multiple, autonomous, and possibly heterogeneous information sources.
Three dimensions can be identified for web information infrastructure: the user dimension, which is what web information systems are all about, likewise, the content dimension, which is the essence around which web information systems are built and finally the system dimension which determines how web applications and services can be implemented.
IJWIS is seeking to present visionary concepts and stimulating ideas in web information systems at both the theory and application levels.

While IJWIS covers a broad range of topics, we are soliciting papers that provide a perspective on all aspects of the Web information systems: Web semantics and web dynamics, Web mining and searching, Web databases and web data integration, Web-based commerce and e-business, Web collaboration and distributed computing, Internet computing and networks, Performance of web applications, and Web multimedia services and web-based education.

Topics of particular interest for this issue are, but not limited to, the list below:

• Metadata and ontologies
• Web semantics architectures, applications and standards
• Language and representation issues of web semantics
• Migrating existing information
• Web mining
• Web search and information extraction
• Web structure/linkage mining
• Applications of web mining and searching
• Web databases
• Managing and storing XML data
• Generation of XML data from legacy applications
• Indexing and retrieval of XML data
• Web data integration
• Web schema management
• Web media
• Web design metrics
• Web-based metacomputing
• Communities on the web
• Formal reasoning about web dynamics
• Web-commerce and E-business
• E-Business models and architectures
• Agent technology for E-Commerce
• E-Business application case studies
• Workflow architectures in support of collaboration process
• Establishment and coordination of virtual enterprises
• Emerging interoperability standards
• Internet quality of service
• Internet traffic engineering
• Mobile computing for the Internet
• Performance of web applications
• Web-based education
• Advanced web applications

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.

DKE covers the following topics:

1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.

2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.

3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.

4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.

5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.

6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.

Plus... conference reports, calendar of events, book reviews etc.

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