Information Retrieval and Digital Humanities
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 837
Special Issue Editor
Interests: information retrieval; digital humanities; computational linguistics; machine learning; recommender systems; data analysis
Special Issue Information
Dear Colleagues,
Digital Humanities aims to link different subjects, such as historical information technology, information and computer science, and computational linguistics. It encompasses the use of digital resources in the humanities and related disciplines, as well as computer-based methods, tools, and applications.
Research in this field is supported by a range of increasingly sophisticated digital methods, such as automatic text and image analysis; linguistic text annotation; data visualization through the adjustment, redefinition, and use of the already established methods of computational linguistics, machine learning, and information retrieval.
Therefore, different research methods can be used to develop and evaluate digital environments with a focus on the user-centered experience.
The purpose of this Special Issue is to discuss the latest developments in the fields of information retrieval, semantics, computational linguistics, and user-adaptive systems in combination with the humanities. We invite the exchange of ideas among different communities involved in digital humanities, educational science, human–computer interaction, machine learning, data mining, natural language processing, etc. This Special Issue is especially intended for researchers and practitioners working on multidisciplinary tasks.
Topics of interest include, but are not limited to:
- Semantic-based information retrieval;
- Personalized and user-adaptive systems;
- Semantic-based technologies in cultural heritage;
- Integration of metadata and semantic research into digital humanities;
- User modeling;
- Human–computer interaction;
- Natural language processing.
Prof. Dr. Ernesto William De Luca
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Digital humanities
- Information retrieval
- Computational linguistics
- Machine learning
- Natural language processing
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