Advances in Knowledge Graphs for Digital Humanities
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 435
Special Issue Editors
Interests: multi agent systems; knowledge representation and reasoning; ontologies; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: IoT; ontologies and semantic web
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A knowledge graph (KG) is a data structure that captures and represents knowledge in a machine-readable format. Knowledge graphs have the potential to revolutionize the way that scholars in the humanities and cultural heritage disciplines organize, analyze, and discover new insights from vast amounts of cultural data. This Special Issue aims to contribute to the growing body of research on KGs for the domain of digital humanities and cultural heritage.
Submissions may be theoretical or empirical in nature. We are particularly interested in papers that demonstrate the application of KGs in digital humanities and cultural heritage, including case studies and demonstrations of tools and methods applied or applicable to digital humanities and cultural heritage. Authors are invited to submit review or research papers in one of the following topics:
Domains of application:
- History;
- Archaeology;
- Cultural heritage;
- Textual humanities;
- Philology;
- Language corpora;
- Education;
Technical challenges:
- Methods and tools for engineering KGs and ontologies, with a focus on digital humanities and cultural heritage;
- Representing structured and connected humanistic knowledge and data on the Web;
- Reasoning with ontologies and KGs;
- Semantic portals;
- Semantic annotation;
- Semantic search;
- Semantic integration;
- Information extraction;
- Ontology learning;
- Topic modeling;
- Semantic interoperability;
- Semantic data visualization;
- Semantic data quality;
- Scalability in KGs and ontologies.
Prof. Dr. George A. Vouros
Dr. Konstantinos Kotis
Guest Editors
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
- KGs in digital humanities and cultural heritage
- ontologies in digital humanities and cultural heritage
- knowledge-based systems
- semantic web technologies
- humanistic and cultural linked open datasets
- machine learning for KG completion
- automated reasoning and inference
- humanistic and cultural data modeling
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
