Journal Information
World Wide Web
Impact Factor:

Call For Papers
We have witnessed the emergence of a new revolution: `The Web Revolution', which has resulted in the globalization of information access and publishing. World wide web researchers and practitioners face new technical challenges in advancing the world wide web technology from the globalization of access to the globalization of computing.

World Wide Web: Internet and Web Information Systems (WWW) is an international, archival, peer-reviewed journal which covers all aspects of the World Wide Web, including issues related to architectures, applications, Internet and Web information systems, and communities. The purpose of this journal is to provide an international forum for researchers, professionals, and industrial practitioners to share their rapidly developing knowledge and report on new advances in Internet and web-based systems. The journal also focuses on all database- and information-system topics that relate to the Internet and the Web, particularly on ways to model, design, develop, integrate, and manage these systems.

Appearing quarterly, the journal publishes (1) papers describing original ideas and new results, (2) vision papers, (3) reviews of important techniques in related areas, (4) innovative application papers, and (5) progress reports on major international research projects. Papers published in the WWW journal deal with subjects directly or indirectly related to the World Wide Web. The WWW journal provides timely, in-depth coverage of the most recent developments in the World Wide Web discipline to enable anyone involved to keep up-to-date with this dynamically changing technology.

The WWW journal topical coverage includes, but is not restricted to, the following subjects as they relate to the World Wide Web:

Application program interfaces
Authoring tools and environments
Browsing and navigation techniques and tools
Collaborative learning and work
Computer-based training and teaching
Content mark-up languages, such as XML
Courseware development
Data and link management
Data dissemination techniques on the Web
Digital libraries
Distance education
Distributed computing
Electronic commerce
Financial transactions
Information storage and retrieval
Innovative applications
Integration of heterogeneous information sources
Internet and Web-based

    agent systems
    cooperative databases and cooperative information systems
    data management
    database and information-system integration
    information extraction
    information services
    information-system modeling, design, and development
    information visualization
    support tools and languages for information-system development
    search and filtering technology

Internet transactions and transactional processes in the Web
Metrics and measurement
Mobile Web Information Systems
Multimedia software engineering
Object-oriented software engineering
Performance evaluation
Protocols (e.g., HTTP, IIOP)
Real-time computing
Search techniques and engines
Security, authorization, authentication, and privacy
Server and client technologies
Ubiquitous information
Universal design (.e.g., multilingual access)
User interfaces
Verification, validation, and testing
Virtual reality and 3D visualization
Web applications
Web change monitoring and management
Web content standards
Web data mining
Web database security
Web-based data-modeling languages
Web-based GIS
Web Information dynamics
Web information security
Web page design techniques and tools
Web query languages
Web site management techniques and tools
Web-based publishing
Web-based training and teaching
Web-based multimedia/hypermedia systems
Web-supported cooperative work

XML and semi-structured data for Web applications

In addition to the above Internet- and Web-specific topics, the WWW journal also encourages research work on all fundamental issues relating to database and information systems for the Internet and Web. The following are some sample topics of interest when they are addressed within the context of the Internet and Web:

Database and information systems support for cooperative work
Data mining and warehousing
Data models and meta-data management
Information retrieval
Interoperability and heterogeneous information systems
Multimedia database and information systems
Object-oriented and object-relational databases
Query processing
Transaction processing
Workflow systems
Last updated by Dou Sun in 2017-10-08
Special Issues
Special Issue on Geo-Social Computing
Submission Date: 2017-10-28

This special issue aims to publish research work that covers the full spectrum of geo-social computing including theoretical, empirical, algorithms, models and design research contributions. The rapid development of Web 2.0, location acquisition and wireless communication technologies has fostered a pro-fusion of geo-social networks, such as location-based social networks (LBSNs) and event-based social networks (EBSNs). LBSNs (e.g., Foursquare, Yelp and Google Place) provide users an online platform to check-in at points of interests (e.g., cinemas, galleries and hotels) and share their life experiences in the physical world via mobile devices. The new dimension of geographical location implies extensive knowledge about an individual's behaviors and interests by bridging the gap between online social networks and the physical world. Moreover, newly emerging EBSNs (e.g., Meetup and Plancast) enable users to check-in and share more specific activities/events held in the physical world, ranging from informal get-togethers (e.g., movie nights and dining out) to formal activities (e.g., culture salons and business meetings). Despite the explosion of interest in social computing, this is the first time to call for papers on geo-social computing. Compared with traditional social computing that only focuses on the social perspective, Geo-Social Computing introduces a new paradigm combining spatial and social dimension. Geo-social computing is fundamentally about computing methods and techniques to understand, model, and facilitate both the social interactions between people and the physical interactions between people and spatial items (e.g., POIs and events). It will bring many benefits to the improved decision making, accurate mobile targeted advertisement, trip planning, richer collaborations, and enhanced problem solving capabilities through a better understanding of human behavior and social interaction in interpersonal, organizational, and societal settings. We welcome submissions that focus on various computation methods and models to exploit and explore the geo-social data generated by both users and GPS devices. Potential topics include but are not limited to the following: - User Profiling - Location-based recommendation - POI Recommendation - Event Recommendation - Community discovery - Social Link Prediction/Friend Recommendation - Information Diffusion in geo-social network - User Mobility Analysis and Modeling - User Linkage Across platforms or devices - Influence Maximization in geo-social networks - Inferring locations of user homes - Inferring Locations of user generated contents (e.g., images, videos and posts) - Collective intelligence - Sentiment Analysis - Spatial data analysis and mining - Team Formation and Collaboration
Last updated by Dou Sun in 2017-06-18
Special Issue on Web and Big Data
Submission Date: 2017-11-30

The social and mobile web revolution promises a generation of new and exciting data-intensive web applications. These applications interact with our online and offline activities more pervasively, generate more data, and provide unprecedented opportunities to affect important aspects of our lives, including economy, transportation, communication, leisure, and health. Current examples include, but not limited to, Facebook, Wechat, Uber, and Didi. The emergence of big data from these web applications continues to attract increasing attention from researchers to study rich data-related and data-driven problems. This development poses challenges to traditional data management, data mining, and machine learning paradigms. The World Wide Web Journal invites submissions for a special issue on “The Web and Big Data” that aims to attract papers that cover state-of-the art work and progress in relation to web and big data. Topics include, but are not limited to, the following. - Advanced application of databases - Cloud computing - Parallel and distributed database systems - Multidimensional databases and OLAP - Data management for social-network and location-based services - Temporal, spatial, spatio-temporal, and spatio-textual data management - Mobile computing and data management - Streaming data and real-time processing - Multimedia systems - Data mining and knowledge discovery - Data integration and fusion - Indexing, query processing, and optimization - Information retrieval - Semantic web and knowledge graph - Security, privacy, trust and reputation
Last updated by Dou Sun in 2017-10-08
Special Issue on Social computing and big data applications
Submission Date: 2017-12-01

The popularity of social networking and Internet connectivity, as well as the massive data generated from various platforms and digitalized systems, offers researchers with unprecedented opportunities to study user behavior patterns and understand practical implications for various applications, which were previously difficult to explore due to the lack of data. Now, with the large amount of data and data mining techniques available, more real-world social problems may be understood, analyzed and possibly addressed, including but not limited to anomalous (or even criminal) individuals and groups, rumor dissemination, financial crisis, disaster response, and precise medicine. This special issue of World Wide Web Journal: Social computing and big data applications will focus on the theory and applications of social computing and big data analytics. This special issue covers two folds: (1) recent applications on social computing; and (2) novel techniques on how big data can solve real social and human problems. We solicit papers covering various topics of interest that include, but not limited to, the following: • Big data applications on precise medicine and human health; • Data mining of large scale networks and big data; • Social behavior modeling, understanding, and patterns mining; • Social computing practice and theory; • Smart cities, smart mobility, and urban informatics; • Computational social science and applications; • Social analytics and societal behavior for prediction; • Social computing and social networks; • Social influence modeling and analysis; • Algorithmic and systems support for mining large-scale social data.
Last updated by Dou Sun in 2017-10-08
Special Issue on Social Media and Interactive Technologies
Submission Date: 2017-12-01

Events in the recently cyber‐world can be modeled as a spatiotemporal continuity populated by computing devices, communication channels, and multimodal interactions. Contemporary ubiquitous devices unleash the boundary of one‐to‐one human‐computer interaction. E.g., it has become a de facto style of facilitating social events that participants use several distributed devices through multimodal interaction. How people access multimodal media in different context is an interesting yet challenging problem. It is necessary to bring together technologies for location/context adaptation, inter‐device interaction/reaction, social media analysis, and media/data communication. In this special issue, we call for original papers that describe state‐of‐the‐art technologies and new research findings. Topics included in this special issue are listed below. Submission in additional topics related to WWW and ubiquitous multimedia computing are also encouraged. - Web and Social Media Technologies - Virtual Reality and Augmented Reality on Web - New Interaction Mechanisms for VR/AR/MR - Big media data on Web and analysis - Big Data for Education and Learning - Semantic Web and Social Media Retrieval - Ubiquitous Human‐Device Interfaces - Ubiquitous Service Applications, including Education, Gaming, Healthcare and Smart Home - Analysis of Social Media and Behaviors - Practical Issues and Applications in Internet of Things - Visualization of IoT Data using Web Technologies
Last updated by Dou Sun in 2017-10-08
Special Issue on Big Data for Effective Disaster Management
Submission Date: 2018-04-01

It is well known that hurricanes, earthquakes, and other natural disasters cause immense physical destruction, loss of life and property around the world. Unfortunately, the frequency and intensity of natural disasters has increased significantly in recent decades, and this trend is expected to continue. Facing these possible and unexpected disasters, disaster management has become a big problem for governments across the world. Recently, however, people’s mobile phone data, GPS trajectories data, location‐based online social networking data, surveillance video data, satellite imagery and IC card data have become readily available and this information has increased explosively. The explosion of this sensing data has become “Big Data”, and offers a new way to circumvent the methodological problems of earlier research for more effective disaster management. As such, big data for more effective disaster management is spurring on tremendous amounts of research and development of related technologies and applications. The goal of this special issue is to provide a premier forum for researchers working on big data for disaster management to present their recent research results. It also provides an important opportunity for multidisciplinary studies connecting data mining and big data analytics to disaster management. Topics of interest include, but are not limited to - New theory and models for big data computing - Content analysis and mining for disaster management - Integration of dedicated sensor and multi‐purpose sensor big data for disaster management - Integration of heterogeneous extreme events data sources - Disaster information systems - Disaster prevention, mitigation, preparedness, response, and recovery using big data - Big data in international cooperation/responses for disaster management - Risk reduction using big data - Big data in interagency network for disaster management - Pre‐incident training and testing using big data for disaster management - Use of social media in emergencies - Filtering of noise and misinformation in open source extreme events data - Security and privacy in multimedia big data for disaster management - Interaction, access, visualization of big data for disaster management - Big data in disaster tourism - Big data in extreme events management during multi‐hazards
Last updated by Dou Sun in 2017-10-13
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