The Twelfth International Conference on Information, Process, and Knowledge Management

eKNOW 2020

November 21, 2020 to November 25, 2020 - Valencia, Spain

Deadlines

Submission

Sep 03, 2020

Notification

Oct 02, 2020

Registration

Oct 14, 2020

Camera ready

Oct 20, 2020

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

eKNOW 2020 - The Twelfth International Conference on Information, Process, and Knowledge Management

November 21, 2020 - November 25, 2020

eKNOW 2020

ISSN: 2308-4375
ISBN: 978-1-61208-765-8

eKNOW 2020 is colocated with the following events as part of DigitalWorld 2020 Congress:

  • ICDS 2020, The Fourteenth International Conference on Digital Society
  • ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions
  • GEOProcessing 2020, The Twelfth International Conference on Advanced Geographic Information Systems, Applications, and Services
  • eTELEMED 2020, The Twelfth International Conference on eHealth, Telemedicine, and Social Medicine
  • eLmL 2020, The Twelfth International Conference on Mobile, Hybrid, and On-line Learning
  • eKNOW 2020, The Twelfth International Conference on Information, Process, and Knowledge Management
  • ALLSENSORS 2020, The Fifth International Conference on Advances in Sensors, Actuators, Metering and Sensing
  • SMART ACCESSIBILITY 2020, The Fifth International Conference on Universal Accessibility in the Internet of Things and Smart Environments

eKNOW 2020 Steering Committee

 

Susan Gauch
University of Arkansas
USA


   

 

 

Special tracks:

KMI 4.0: Toward Industry 4.0 by Knowledge Management
Chair and Coordinator: Dr. Samia Aitouche, PhD, University Batna 2, Algeria samiaaitouche@gmail.com
Co-Chair: Dr Aksa Karima, University Batna 2, Algeria aksa_karima@yahoo.fr

KDI: Extracting Knowledge by Data-driven Intelligence
Chair and Coordinator: Prof. Gustavo de Assis Costa, PhD, Federal Institute of Education, Science and Technology of Goiás – Campus Jataí, Brazil gustavo.costa@ifg.edu.br
Co-Chair: Prof. Flávio de Assis Vilela, PhD Candidate, Federal Institute of Education, Science and Technology of Goiás – Campus Jataí, Brazil flavio.vilela@ifg.edu.br

KMI-eGov: Knowledge Management and Innovation in e-Government
Chair and Coordinator: Dr Maria José Sousa, ISCTE - Instituto Universitário de Lisboa, Portugal maria.jose.sousa@ISCTE-IUL.pt

ETC@KM: Emerging Trends and Challenges in Knowledge Management
Chairs and Coordinators:
Maria José Gonçalves, CEOS.PP, Porto Polytechnic, Portugal mjose@iscap.ipp.pt
Amélia Ferreira da Silva, CEOS.PP, Porto Polytechnic, Portugal acfs@iscapglos.ac.uk

 

eKNOW 2020 conference tracks:

Knowledge fundamentals

Knowledge acquisition, processing, and management; Linguistic knowledge representation; Knowledge modeling and virtualization; Types of knowledge: structural, behavioral, relationships, etc.; Knowledge representation: visual-picture, connectionist model, semi-structured [a la workflow], structured/formal; Knowledge acquisition status: potential new knowledge, guessed semantics, confirmed semantics, auditing confirmed semantics, etc.; Knowledge update: probable insertion, validated insertion, auditing the insertion periodically based on new knowledge, etc.

Advanced topics in Deep/Machine learning

Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning  applications; Machine learning for systems.

ML: Knowledge and Information processing using Machine Learning

Machine learning models (supervised, unsupervised, reinforcement, constrained, etc.); Generative modeling (Gaussian, HMM, GAN, Bayesian networks, autoencoders, etc.); Explainable AI (feature importance, LIME, SHAP, FACT, etc.); Bayesian learning models; Prediction uncertainty (approximation learning, similarity); Training of models (hyperparameter optimization, regularization, optimizers); Active learning (partially labels datasets, faulty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data, big data, graph data, time series, sparse data, etc.)

Trends on annotation and extraction

Natural Languages-based features and systems; Annotation handling (multilingual, semantic, shared, open, prosody, etc.); Annotation as a Service (AaaS); Handling argument-based knowledge; Event-based knowledge; Tagging and supertagging; Extraction patterns; Uncertain reasoning; Visual error analysis; Domain-specific paraphrase extraction; Tweets and sentence compression; Role labeling semantic; Heterogeneous annotations

Trends on news and social media

New events-based knowledge;In-context news creation; Superlative expressions; News highlights generation systems; News special summarization systems (e.g, for blind and/or visually impaired people); Sentiment classification (emotion, irony, sarcasm, rhetorical questions, opinion, etc.); Rumor dynamics and social media; Contextual pragmatic models;; Social prediction; Prediction semantic analysis; Predictability of distrust; Aspect-based sentiment analysis; Argument generation systems; Relevance of citation recommendation; Retrieval bias and retrieval performance; High-speed captioning images; Language models for images; Participative KM platforms

Trends on knowledge processing support and mechanisms

Open knowledge bases; Structured knowledge bases; Big knowledge applications; Linked knowledge objects; Knowledge datasets; Machine translation systems; Convolution neural networks; Hybrid representations and equivalent semantics; Processing bilingual information; Topic trends and temporal signatures; Cross-view features; Pattern-based knowledge; Ranking optimization in context; Concept-based classification and ranking; KM design for life long learning and long term uses

Knowledge identification and discovery

Mining for knowledge; Knowledge identification: semantic-ID, etc.; Knowledge discovery: how to express knowledge requests?, how to find knowledge?, etc.; Knowledge refinement: after many acquisitions, former knowledge can change semantically or structurally, etc.; Knowledge clustering

Knowledge management systems

Knowledge data systems; Industrial systems; Context-aware and self-management systems; Imprecision/Uncertainty/Incompleteness in databases; Cognitive science and knowledge agent-based systems; Databases and mobility in databases; Zero-knowledge systems; Expert systems; Tutoring systems; Digital libraries

Knowledge management (KM) and event processing (EP)

Methodologies and approaches to overcome technical hurdles and improve the interplay between KM and EP; Applications from various domains (e.g. financial, manufacturing, trading, telecommunication, service), which benefit from an integrated KM and EP

Knowledge semantics processing and ontology

Dynamic knowledge ontology; Collaborative knowledge ontology; Knowledge matching; Contextual reasoning; Tools for knowledge ontology; Context-based information extraction; Knowledge trading systems; Knowledge exchange portals; Cognitive sytems and knowledge processing; Human aspects in knowledge processing

Technological foresight and socio-economic evolution modelling

Anticipatory networks and decisions; Expert information management; Foresight support systems; Generating technological recommendations and rankings; Information society evolution; Online and real-time Delphi; Ontological knowledge bases of technologies and products; Roadmapping support systems; Strategic support systems; Technological information fusion; Technological policy decision support systems

Process analysis and modeling

Analysis and development of business architectures; Data mining and information retrieval for business processes; Business process modelling; Business process composition; Analysis and management lifecycle; Reasoning on business processes; Optimization of business processes; Adaptive business processes; Business process reengineering; Integration of processes; Process discovery; Business process quality; Resource allocation

Process management

Criteria for measurement of business process models; Monitoring business processes; Business process visualization; Management of business process integration; On-demand business transformation; Performance measurement; Conformance and risk management; Prediction; Business transformation; Packaged industry applications; Industry solutions

Information management

Informational mining/retrieval/classification; Geographic and spatial data Infrastructures; Information technologies; Information management systems; Information ethics and legal evaluations; Optimization and information technology; Organizational information systems

Decision support systems

Multi-criteria decision theory; Artificial intelligence; Adaptive design for decision support systems; Support technologies: knowledge-driven, data-driven, model-driven, and geographically-driven systems; Support methods: artificial neural networks, fuzzy logic, and genetic/evolutionary algorithms; Modeling, interfaces, and performance; Applications using decision support systems


Deadlines:

Submission

Sep 03, 2020

Notification

Oct 02, 2020

Registration

Oct 14, 2020

Camera ready

Oct 20, 2020

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Technical Co-Sponsors and Logistic Supporters