[CfP]: Special Issue on Advances in Artificial Intelligent Systems for the Scholarly Domain - Electronics (IF: 2.690)

CfP: Special Issue on Advances in Artificial Intelligent Systems for the
Scholarly Domain

*Webpage*:
https://www.mdpi.com/journal/electronics/special_issues/KCKFBLD7I5

*Deadline*: *Sept 30, 2023*

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*Summary*

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In recent decades, we have witnessed a substantial increase in the volume
of scientific papers and related research objects (e.g., data sets,
pipelines, and software packages). This trend is expected to continue,
making it increasingly difficult to efficiently manage scientific outcomes.
This opens new fundamental challenges to producing innovative and
intelligent services based on machine learning, natural language
processing, semantic web best practices, etc., for scientific research
outcomes. Analyzing, exploring, and interlinking the existing literature is
crucial to produce new knowledge, enhance our understanding of the world,
and address the fundamental challenges of our time. Furthermore, the
scientific community is also exploring AI tools based on machine learning
to support researchers in their daily tasks, such as reading and writing
research publications, developing communities, and organizing research
outcomes, making possible the reproducibility of research works. However,
these tasks are more and more difficult due to the millions of
heterogeneous scientific articles that include images, natural language
text, and external data, which cannot be directly parsed using conventional
tools. For this reason, the research community has proposed several
solutions for producing structured, interlinked, machine-readable, and
machine-understandable descriptions of scientific knowledge from research
papers to provide new services. This Special Issue aligns with these topics
and provides a forum for researchers and practitioners to describe the
latest discoveries.

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*Topics*

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Knowledge Graphs:

   - Ontologies for scientific publishing;
   - Interlinking of various scientific data sources;
   - Scientific knowledge graph construction approaches;
   - Methods to analyze scientific knowledge graphs;
   - Scientific knowledge graph completion;
   - Scientific knowledge graph validation approaches;
   - Frameworks to manage scientific knowledge graphs.

Machine Learning and Natural Language Processing:

   - Machine learning to classify scientific papers;
   - Machine learning to summarize scientific papers;
   - Methods for extracting data from the natural language of scientific
   papers;
   - Methods for extraction data from images of scientific papers;
   - Methods for extracting data from tables of scientific papers.

Resources:

   - Dataset for studying scientific outcomes;
   - Benchmarks to evaluate machine learning models.

Methodologies:

   - Research trend forecasting;
   - Automatic state-of-the-art generation approaches;
   - Frameworks to explore scientific outcomes;
   - Citation prediction methodologies using scientific literature;
   - Methods to evaluate the impact of scientific findings;
   - Studies about the use of research findings in the industry;
   - Novel metrics to evaluate research outcomes.


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*Deadline*

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Deadline for paper submission: Sept 30, 2023

*Papers submitted before the deadline will be reviewed upon receipt and
published continuously in the journal as soon as accepted.*


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*How to submit*

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   1. First-time users are required to register themselves before making
   submissions at http://susy.mdpi.com/.
   2. Enter your account and click "Submit Manuscript" under Submissions
   Menu.
   3. Fill in manuscript details from Steps 1 to 4: Journal: Electronics;
   Special Issue: Advances in Artificial Intelligent Systems for the Scholarly
   Domain
   4. Click the "submit" button after you finish all the steps.


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*Guest Editors*

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*Dr. Danilo Dessi' *
Knowledge Technologies for the Social Sciences
The GESIS – Leibniz Institute for the Social Sciences
Email: danilo.dessi@gesis.org

*Prof. Diego Reforgiato Recupero*
Department of Mathematics and Computer Science
University of Cagliari
Email: diego.reforgiato@unica.it

*Dr. Francesco Osborne*
Knowledge Media Institute - The Open University
University of Milano Bicocca
Email: francesco.osborne@open.ac.uk


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*Contacts*

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For general inquiries on the special issue, please send an email to
 danilo.dessi@gesis.org <danilo.dessi@gesis.org>

For any questions regarding technical issues or the journal, please contact
the assistant editor of this special issue: Mr. Eric Lin (E-mail:
eric.lin@mdpi.com)