Journals in Natural language and computational linguistics

Artificial Intelligence in the Life Sciences

ISSN: 2667-3185

Providing a scientific forum for practical applications and theoretical advances of Artificial Intelligence (AI) in the life sciences and related disciplines including (but not restricted to):New AI methods for life science researchAdaptation of existing AI concepts for life science applicationsApplication of AI approaches in: Molecular and systems biologyPopulation and disease geneticsBio- and cheminformaticsMedicinal chemistry, chemical biology, and drug discoveryMedical researchPublications are required to contain substantial AI and life science components. Clinical studies reporting routine diagnostic efforts hall outside the scope of AILSCI.Background: Artificial Intelligence originates from computer science and covers a wide range of approaches intended to enhance the ability of machines to make data-driven decisions and accurate predictions of events. In many scientific fields, AI is being increasingly considered and integrated, especially in the context of Big Data. Given their complexity and highly interdisciplinary nature, the life sciences provide ample opportunities for AI to impact R&D efforts in a variety of ways.Key words: Artificial Intelligence; Life Sciences; Drug Discovery; Bio- and Cheminformatics, Machine Learning; Machine Intelligence; Deep Learning; Data Mining; Big Data.

Journal of Computer Languages

ISSN: 2590-1184
5 Year impact factor: 1.8
Impact factor: 1.7

Following the merger of Computer Languages, Systems and Structures with the Journal of Visual Languages and Computing in 2018, we are excited to present the Journal of Computer Languages, a single publication which covers all areas of computer languages.The Journal of Computer Languages (COLA) welcomes papers on all aspects of the design, implementation, and use of computer languages (specification, modelling, programming; textual or visual) and human-centric computing, from theory to practice. Most papers describe original technical research, but the journal also welcome empirical studies and survey articles.Current research areas for the Journal of Computer Languages include:Block-based languagesCognitive, perceptive and motoric systems and modelsCompilers and interpretersComputational thinkingDesign and development of concurrent, distributed, parallel, quantum and sequential languagesDomain-specific languagesEnd-user developmentGenerative approaches, meta-programming, meta-modellingHuman aspects and psychology of designing languagesInformation visualizationInteraction models and languagesLocation-based data and processesLanguage design and implementationLanguage-based securityLanguage evolution, integration, composition, and coordinationLanguage product linesLanguage workbenches, meta-languages and development frameworksLanguages, models, and frameworks for visual analyticsLanguages for large-scale scientific computingLanguages for software specification and verificationLibraries, run-time environments and language ecosystemsModelling and programming languagesModularity and extensibility of language specifications and programmingParallel/distributed/neural computing and representations for visual information processingPattern languagesPictorial systems and languagesProgram analysis and optimizationProgram comprehensionProgram visualization and animationProgramming environments and toolsProgramming paradigms (agent-oriented, aspect-oriented, intermittent, etc.)Scientific visualizationScripting languagesSemantics of computer languagesSemantics-based verificationSoftware language engineeringSoftware visualizationType systemsUser interface design languagesVisual languages and programming

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.

Natural Language Processing Journal

ISSN: 2949-7191

The Open Access Natural Language Processing Journal aims to advance modern understanding and practice of trustworthy, interpretable, explainable human-centered and hybrid Artificial Intelligence as it relates to all aspects of human language. The NLP journal affords a world-wide platform for academics and practitioners to present their latest theoretical, practical, and methodological research concerning the development and application of trustworthy AI to analyze, process, or model human language across various multimodal contexts, domains, and intelligent systems, including hybrid AI , Human AI interaction and Social systems. The NLP journal welcomes original research papers, review papers, position papers, tutorial and best practice papers. Special Issues proposals on specific current topics are welcomed. To foster trust, transparency, and reproducibility in AI research the NLP journal promotes open and FAIR data and software sharing practices. Furthermore the NLP journal specifically invites researchers to submit scientific replication studies for review and publication.

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Journals in Natural language and computational linguistics

Artificial Intelligence in the Life Sciences

Journal of Computer Languages

Journal of Web Semantics

Natural Language Processing Journal