Research and Innovation Track

The Research and Innovation track at SEMANTiCS 2023 EU welcomes papers on novel scientific research and/or innovations relevant to the topics of the conference. Submissions must be original and must not have been submitted for publication elsewhere. Papers must follow the guidelines given in the author instructions, including references and optional appendices. Each submission will be reviewed by several PC members who will assess it based on its innovativeness, technical merits, and effectiveness at solving real problems.

***** Important dates *****
- Abstract Submission Deadline: May 09, 2023 (11:59 pm, Hawaii time)
- Paper Submission Deadline: May 16, 2023 (11:59 pm, Hawaii time)
- Notification of Acceptance: June 20, 2023 (11:59 pm, Hawaii time)
- Camera-Ready Paper Deadline: July 04, 2023 (11:59 pm, Hawaii time)
Submission via Easychair on https://easychair.org/conferences/?conf=sem23. Proceedings of SEMANTiCS 2023 EU will be made available open access. The publisher will be IOS Press - Studies on Semantic Web Series.

***** Topics of Interest *****
SEMANTiCS 2023 especially invites contributions that target the following main topics, sub-topics in the context of semantic-based research and systems as well as applicative domains.

Topics of interest include, but are not limited to:
- Web Semantics & Linked (Open) Data
- Enterprise Knowledge Graphs, Graph Data Management
- Machine Learning Techniques for/using Knowledge Graphs (e.g. reinforcement learning, deep learning, data mining and knowledge discovery)
- Knowledge Management (e.g. acquisition, capture, extraction, authoring, integration, publication)
- Terminology, Thesaurus & Ontology Management
- Reasoning, Rules, and Policies
- Natural Language Processing for/using Knowledge Graphs (e.g. entity linking and resolution using target knowledge such as Wikidata and DBpedia, foundation models)
- Crowdsourcing for/using Knowledge Graphs
- Data Quality Management and Assurance
- Mathematical Foundation of Knowledge-aware AI
- Multimodal Knowledge Graphs
- Semantics in Data Science
- Semantics in Blockchain environments
- Trust, Data Privacy, and Security with Semantic Technologies
- Economics of Data, Data Services, and Data Ecosystems
- IoT and Stream Processing
- Conversational AI and Dialogue Systems
- Provenance and Data Change Tracking
- Semantic Interoperability (via mapping, crosswalks, standards, etc.)

Special Sub-Topics:
- Digital Humanities and Cultural Heritage
- LegalTech, AI Safety, Explainable and Interoperable AI
- Decentralized and/or Federated Knowledge Graphs

Application of Semantically Enriched and AI-Based Approaches:
- Knowledge Graphs in Bioinformatics and Medical AI
- Clinical Use Case of AI-based Approaches
- AI for Environmental Challenges
- Semantics in Scholarly Communication and Open Research Knowledge Graphs
- AI and LOD within GLAM (galleries, libraries, archives, and museums) institutions

***** Author Guidelines and Submission *****
The Research and Innovation Track welcomes long and short papers. Long papers should have 12-15 pages of content (excluding references) and short papers of a maximum length of 6 pages of content (excluding references). Since references are excluded from page counting, it is fine to have one or more additional pages for references if they are relevant to the study submitted.
Submissions should follow the guidelines of IOS Press. Details are available at https://www.iospress.com/book-article-instructions.
Abstract submission for all papers is a strict requirement. To facilitate bidding, we strongly suggest the authors submit structured abstracts.
All papers and abstracts have to be submitted electronically via EasyChair (https://easychair.org/conferences/?conf=sem23).
Submissions must be in English.
Submissions must be anonymous; the reviewing process is double-blind, but reviewers will be able to disclose their identities if they wish, by signing their reviews.
Accepted papers will be published in open access proceedings by IOS Press, and the text of all the reviews (excluding the scores) of all the accepted papers will be posted on the conference website and will be archived on Zenodo as publicly available material.
At least one author of each accepted paper must register for the conference and present the paper.
All authors are strongly suggested to provide optional links to code, materials, and datasets during the submission process - we will have specific optional fields in the EasyChair submission form - the review process will take these into account when provided. To anonymise resources for the reviewing process, authors can use services like Anonymous GitHub or figshare/Zenodo as described here.
The Research and Innovation Track will not accept papers that, at the time of submission, are under review or have already been published in or accepted for publication in a journal or another conference.
All authors will have the opportunity to provide an ORKG comparison in the Open Research Knowledge Graph (https://orkg.org) during the submission process - we will have a specific optional field in the EasyChair submission form.

***** Review and Evaluation Criteria *****
Each submission will be reviewed by several Programme Committee members. The reviewing process is double-blind. However, reviewers can disclose their identity by signing their reviews and/or adding one of their persistent identifiers (e.g. their ORCID).

The text of all the reviews (excluding the scores) of all the accepted papers will be posted on the conference website with the basic bibliographic metadata of the reviewed submission (i.e. title and authors), and it will be archived on Zenodo as publicly available material. All the signed reviews of the accepted papers will be licensed using a Creative Commons Attribution license (CC-BY, the copyright holder will be the reviewer), except the anonymous ones that will be released in CC0.

Papers submitted to this track will be evaluated according to the following criteria:
- Appropriateness
- Originality, novelty, and innovativeness
- Impact of results
- Soundness of the evaluation
- Proper comparison to related work
- Clarity and quality of writing
- Reproducibility of results and resources