Journals in Information search and retrieval

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Data Science and Informetrics

• ISSN: 2694-6106

Data Science and Informetrics (DSI) covers the trends, scientific foundations, techniques and applications of the field. The journal publishes research papers, technical reports subject reviews, short comments and book reviews, providing a platform for data scientists, computer scientists, industry practitioners, and potential users of data science and analytics.Topics covered include but are not limited to:• Theory and mathematical foundations for data science and informetrics.• Data analytics, knowledge discovery, machine learning, and deep learning, and intelligent processing of various data (including text, image, video, graph and network).• Big data architecture, infrastructure, computing, matching, indexing, query processing, mapping, search, retrieval, interopera­bility, exchange and recommendation.• Data science applications, intelligent services in scientific, business, governmental, cultural, behavioral, social and economic, health and medical, human, natural and artificial (including online/Web, cloud, IoT, mobile and social media) domains.• Ethics, quality, privacy, safety and security, trust and risk on data science and big data.• The convergence of bibliometrics, scientometrics, webometrics, altmetrics, informetrics and data science.• Informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, network science and data science.

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Information Processing & Management

• ISSN: 0306-4573
• 5 Year impact factor: 7.3
• Impact factor: 7.4

This journal is ranked by The Chartered Association of Business Schools' Academic Journal Guide, Australian Business Deans Council, Chinese Academy of Sciences (CAS), China Computer Federation (CCF), BFI (Denmark), Computing Research & Education (CORE) Journal Ranking, The Publication Forum (Finland), Science Citation Index Expanded, Social Sciences Citation Index, Scopus, and SCImago Journal Rank (SJR).Information Processing and Management publishes cutting-edge original research at the intersection of computing and information science concerning theory, methods, or applications in a range of domains, including but not limited to advertising, business, health, information science, information technology marketing, and social computing.The journal aims to serve the interests of primary researchers but also practitioners in furthering knowledge at the intersection of computing and information science by providing an effective forum for the timely dissemination of advanced and topical issues. The journal is especially interested in original research articles, research survey articles, research method articles, and articles addressing critical applications of research.Specifically, the journal is interested in four types of manuscripts, which are:Research manuscripts addressing topics at the intersection of computer and information science.Methods manuscripts focusing on the application of novel methods at the intersection of computer and information science.Review manuscripts assessing, in a critical and in-depth manner, a broad trend at the intersection of computer and information science, providing integration of the prior research, and recommendations for further work in the area.Critical application manuscripts concerning system design research at the intersection of computer and information science.

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Journal of Web Semantics

• ISSN: 1570-8268
• 5 Year impact factor: 2.3
• Impact factor: 2.1

Science, Services and Agents on the World Wide Web Affiliated Journal of the Semantic Web Science Association (SWSA)The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.The Journal of Web Semantics addresses various prominent application areas including: e-business, e-community, knowledge management, e-learning, digital libraries and e-sciences.The Journal of Web Semantics features a multi-purpose web site, which can be found at: http://www.semanticwebjournal.org/. Readers are also encouraged to visit the Journal of Web Semantics blog, at http://journalofwebsemantics.blogspot.com/ for more information and related links.The Journal of Web Semantics includes, but is not limited to, the following major technology areas: • The Semantic Web • Knowledge Technologies • Ontology • Agents • Databases • Semantic Grid and Peer-to-Peer Technology • Information Retrieval • Language Technology • Human-Computer Interaction • Knowledge Discovery • Web StandardsMajor application areas that are covered by the Journal of Web Semantics are: • eBusiness • eCommunity • Knowledge Management • eLearning • Digital Libraries • eScience.Each of these areas is covered by an area editor who supports the editors-in-chief. Furthermore, area editors manage the review process for submitted papers in the respective areas.The Journal of Web Semantics publishes five types of papers: • Research papers: Research papers are judged by originality, technical depth and correctness, as well as interest to our target readership. Research papers are recommended to have 15–25 pages in double column format. • Survey papers: We welcome survey papers that integrate the existing literature in (some area of) semantic web research and put its results in context. Survey papers are recommended to have 15–25 pages in double column format. • Ontology papers: We publish community-oriented description of ontology papers, if they generate interests from real-world users and semantic Web experts. Ontology papers are recommended to have 6–8 pages in double column format. Interested authors may here find a detailed Call for Ontology papers. • System papers: Widely adopted semantic systems and systems that generate a far above average amount of interest in the Semantic Web community, may be explained in systems papers. Systems papers are recommended to have 6–8 pages in double column format. Interested authors may here find a detailed Call for System papers. • Benchmark papers: The purpose of benchmark papers is to present novel benchmarks including datasets that deal with problems of interest to the community as well as extensive evaluations. Benchmark papers are recommended to have 15 - 25 pages in double column format.Shorter or longer papers are allowable, if the objectives of a paper warrant deviating length. Descriptions that are either unnecessarily short or long will negatively impact chances of acceptance.

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