LINGUIST List 32.583

Tue Feb 16 2021

Calls: Comp Ling/Estonia

Editor for this issue: Lauren Perkins <laurenlinguistlist.org>



Date: 16-Feb-2021
From: Agata Savary <agata.savaryuniv-tours.fr>
Subject: International Workshop on Intelligent Data – From Data to Knowledge
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Full Title: International Workshop on Intelligent Data – From Data to Knowledge
Short Title: DOING 2021

Date: 24-Aug-2021 - 24-Aug-2021
Location: Tartu, Estonia
Contact Person: Mírian Halfeld Ferrari
Meeting Email: < click here to access email >
Web Site: https://www.univ-orleans.fr/lifo/evenements/doing/?page_id=551

Linguistic Field(s): Computational Linguistics

Call Deadline: 09-Apr-2021

Meeting Description:

Text are important sources of information and communication in diverse domains. The intelligent, efficient and secure use of this information requires, in most cases, the transformation of unstructured textual data into data sets with some structure, and organized according to an appropriate schema that follows the semantics of an application domain. Indeed, solving the problems of modern society requires interdisciplinary research and information cross-referencing, thus surpassing the simple provision of unstructured data. There is a need for representations that are more flexible, subtle and context-sensitive, which can also be easily accessible via consultation tools and evolve according to these principles. In this context, consultation requires robust and efficient processing of requests, which may involve information analysis, with quality, consistency, and privacy preservation guarantees. Knowledge bases can be built as these new generation infrastructures which support data science queries on a user-friendly framework and are capable of providing the required machinery for advised decision-making.

The workshop focuses on transforming data into information and then into knowledge. The idea is to gather researchers in NLP (Natural Language Processing), DB (Databases), and AI (Artificial Intelligence) to discuss two main problems :
- how to extract information from textual data and represent it in knowledge bases;
- how to propose intelligent methods for handling and maintaining these databases with new forms of requests, including efficient, flexible, and secure analysis mechanisms, adapted to the user, and with quality and privacy preservation guarantees.

This workshop focuses on all aspects concerning these modern infrastructures, giving particular attention (but not limited to) to data related to health and environmental domains.

Call for Papers:

We invite the submission of work-in-progress that address various aspects of information extraction from textual data, intelligent and efficient interrogation, and maintenance of knowledge bases. The workshop welcomes submissions of theoretical, technical, experimental, methodological papers, application papers, position papers and papers on experience reports addressing – though not limited to – the following topics:

- Artificial intelligence in databases and information systems
- Data curation, annotation, and provenance
- Data management and analytics
- Data mining and knowledge discovery
- Data models and query languages
- Data quality and data cleansing
- Data science (theory and techniques)
- Context-aware and adaptive information systems
- Constraints extraction from text
- Natural language processing
- Indexing, query processing and optimization
- Information and knowledge extraction
- Information integration
- Information quality
- Graph databases
- Knowledge bases (querying, management, evolution and dynamics)
- Machine learning for knowledge graph construction, completion, refinement
- Machine learning for knowledge and information extraction, for instance, named entity disambiguation, sentiment analysis, relation extraction, or the detection of claims, facts and stances from unstructured documents
- Machine Learning in NLP
- Methodologies, models, algorithms, and architectures for applied data science
- NLP for Digital Humanities
- NLP & Knowledge Graphs
- Privacy, trust and security in databases
- Query processing and optimization
- Question answering over knowledge graphs
- Text databases

Preferred Application Domains (but not limited to):
- Bio-sciences and healthcare
- Urban economy and urban environments
- Energy

DOING workshop intends to accept short (limited to 6 pages) and long (limited to 12 pages) papers. DOING reserves the right to accept as short papers those submitted as long, describing interesting and innovative ideas but still requiring further technical development. Papers should be written in English, formatted in Latex and present substantially original results. We adopt a double blind review policy: the papers submitted for review MUST NOT contain the authors’ names, affiliations, or any information that may disclose the authors’ identity. Authors should consult Springer’s authors’ guidelines and use their proceedings templates (you can download the templates available on the bottom of that page).

Papers must be submitted via EASY CHAIR (link TBD)

Accepted papers will be published in the Springer CCIS series and the best papers will be invited to a special issue of the journal Computer Science and Information Systems.

Important Dates:
Paper submission: April 9, 2021
Notification of acceptance: May 14, 2021




Page Updated: 16-Feb-2021