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International Journal Of Service Computing And Computational Intelligence

ISSN 2162-514X
Publication Frequency4 issues per year
PublisherITFR Service Computing And Computational Intelligence Society

International Journal of Service Computing and Computational Intelligence (IJSCCI) is a scholarly open access, peer-reviewed, interdisciplinary, quarterly and fully refereed journal focusing on theories, methods and applications in Service Computing and Computational Intelligence

Scope:

International Journal of Service Computing and Computational Intelligence (IJSCCI) will publish peer-reviewed articles in Service Computing and computational intelligence, areas related to them in applied and emerging novel discoveries, important insights, surveys in all areas of service computing and computational intelligence design and applications. It has a broad scope and publishes high-quality papers on all aspects of service computing and computational intelligence; Emphasis is on the the algorithmic, mathematical, statistical and computational methods that are central in services computing; the emerging field of Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, Services Operations and Management. Authors are encouraged to submit papers on applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research. The journal is co-sponsored by the ITFR Service Computing and Computational Intelligence Society.

All submitted articles should report

  • Original
  • Previously unpublished research results
  • Experimental or theoretical and
  • Will be peer-reviewed.
Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.

IJSCCI covers all areas of

  • Service Computing and Computational Intelligence
  • Publishing refereed research articles
  • Survey articles and
  • Technical notes.
IJSCCI reviews papers within six weeks of submission and publishes accepted articles on the internet immediately upon receiving the final versions Create

Covered Areas

Services computing are cross-disciplines that cover the Science and Technology of bridging the gap between business services and IT Services. The underneath breaking technology suite includes Web services and service-oriented architecture (SOA), cloud computing, business consulting methodology and utilities, business process modeling, transformation and integration. This scope of Services Computing covers the whole life-cycle of services innovation research that includes business componentization, services modeling, services creation, services realization, services annotation, services deployment, services discovery, services composition, services delivery, service-to-service collaboration, services monitoring, services optimization, as well as services management. The goal of Services Computing is to enable IT services and computing technology to perform business services more efficiently and effectively Knowledge Mining and Discovery-based Science is a scientific methodology which emphasizes analysis of large volumes of experimental data or text data with the goal of finding new patterns or correlations, leading to hypothesis formation and other scientific methodologies. Areas of this field of interest include:

Data Mining: looking for associations or relationships in operational or transactional data; Text Mining and Information Extraction: looking for concepts and their associations or relationships in natural language text; Structured, semi-structured and unstructured text mining; Text Summarization: extracting terms and phrases from large text document collections that summarize their content; Web mining: Web structure, content and usage mining; and, Ontology Learning from Text and Data bases.

Web intelligence and semantic web. Web intelligence is concerned with the application of AI to the next generation of web systems, services and resources. These include better search/retrieval algorithms, client side systems (e.g. more effective agents) and server side systems (e.g. effective ways to present material on web pages and throughout web sites, including adaptive websites and personalized interfaces).

The semantic web is an extension to the World Wide Web, in which web content is expressed in a form that is accessible to programs (software agents), following the vision of the web as universal medium for data, information and knowledge exchange.

Agents and multiagent systems. Agents as a computational abstraction have replaced 'objects' in software and have provided the necessary ingredients to move to societies of interacting intelligent entities, based on concepts like agent societies, market economies, e-commerce models and game theory. Such abstractions are dispersed throughout the scientific world, depending largely on applications. Multiagent systems (MAS) are systems in which many autonomous intelligent agents interact with each other. Agents can be either cooperative, pursuing a common goal, or selfish, going after their own interests. Architectures, interaction protocols and languages must be developed for multiagent systems. Topics of interest include: Autonomy-oriented computing; Agent systems methodology and language; Agent-based simulation and modeling; Agent-based applications; Agent-based negotiation and autonomous auction; Advanced Software Engineering supports for Multiagent systems; Trust in Agent Society; and Distributed problem solving.

Machine learning in knowledge-based systems. Knowledge-based systems aim to make expertise available for decision making, and information sharing, when and where needed. The next generation of such systems needs to tap into large domain-specific knowledge, which combine machine learning and structured background knowledge representation, such as ontology, and causal representations and constraint reasoning. Information sharing is concerned with creating collaborative knowledge environments for sharing and disseminating information. Learning is based on real-world data. Key challenges involve the decomposition of practical problems into multiple learnable components, the interaction between the components, and the application of suitable learning algorithms, often in the absence of adequate amounts of labeled training data. Topics of interest include the application of machine learning methods to new practical problems introducing novel algorithms, system frameworks of learnable components or evaluation techniques.

Application areas: The journal focuses on key application areas, where Computational Intelligence is making a significant impact. These include: Business Intelligence involving data mining to support business decision makers; Social Network mining involving modeling aggregate properties and dynamics of social networks, classifying vertices and edges of social networks, identifying clusters of users; Critical Infrastructure Protection involving intrusion/ anomaly detection & response, learning knowledge bases of system administration, log file mining; Entertainment and Game Development involving building game engines using AI techniques; Software Engineering, including program understanding, software repositories and reverse engineering; Business, Finance, Commerce and Economics: learning aggregate behaviours like stock market trends or modeling individual and group demographics, for instance, web mining and Knowledge-based and Personalized User Interfaces, to make interaction clearer to the user and more efficient, with better support for the users' goals, and efficient presentation of complex information.

Bibliographic Information

Quarterly Electronic Publication Commences publication in 2007

Copyright and Reprint Permission

Indexing or Abstracting is permitted with credit to the source. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the journal.

Special Issues

Guest Editors are kindly invited to produce Special Issues consisting of articles organized around a theme of particular interest. These special issues are often edited by guest editors who are not on the editorial board. Proposals for Special Issues are most welcome, as are Guest Editorials and Announcements.