This year the 19th edition of the EGC conference will take place in Metz from January 21 to 25, 2019 on the CentraleSupélec Metz Campus.
The Knowledge Extraction and Management Conference is an annual event bringing together researchers and practitioners from disciplines in the field of data and knowledge science. These disciplines include machine learning, engineering and knowledge representation, data and knowledge reasoning, data mining and analysis, information systems, databases, the semantic web and open data, etc.
The processing and integration of data and knowledge sources constantly raises new needs and challenges in terms of methods, techniques and tools for acquiring data, classifying them, integrating them, representing them, storing them, indexing them, visualizing them, interacting with them, protecting them and especially to transform them into useful, relevant knowledge respectful of our rights.
In addition to the scalability needs of large data collections, there is the need for heterogeneous, variable quality and sometimes very dynamic data processing, ranging from online newspaper articles, to connected sensors, from photo or viral video to the geographical position of our cars, short messages from a microblog to related data from a genomics database, etc.
A major challenge is the development of more transparent data analysis and reasoning algorithms that are able to identify data biases, explain the source of their results, and ensure privacy and equity.
The EGC conference is an opportunity to meet academic and industrial to confront theoretical work and practical applications on real data and to communicate high quality works, exchange and promote the cross fertilization of ideas, through the presentation of recent research, industrial developments and original applications.
EGC 2019's proceedings, including articles from oral communications as well as those associated with posters, will appear in an issue of the journal RNTI. The authors of the best articles will be invited to submit an extended version of their articles for publication in international post-editions published by Springer.
This year, there will be no challenge session but rather a Hackathon on real data which will be the subject of a specific call for participation. The winner (s) will be invited to present their results to EGC 2019.
President of the organizing committee
Lydia Boudjeloud-Assala, LORIA, University of Lorraine
Responsible for the demonstrations session
Adrien Guillé, ERIC, Lyon 2 University
Sabeur Aridhi, LORIA, University of Lorraine
Workshop Manager
Alexandre Blansché, LORIA, University of Lorraine
Responsible "minute of madness"
Guy Melançon, LABRI, University of Bordeaux
Brieuc Conan-Guez, LORIA, University of Lorraine
Organizing Committee of e-EGC School
Claudia Marinica, ETIS, University of Cergy-Pontoise
Malika Smail-Tabbone, LORIA, University of Lorraine
Sponsoring Manager
Alain Gély, LORIA, University of Lorraine
Bid Management
Bruno Pinaud, Labri, University of Bordeaux
Responsible for the website
Jeremy Fix, LORIA, CentraleSupélec
Frédéric Pennerath, LORIA, CentraleSupélec
Topics of interest for the conference include (non-exhaustive list):
Foundations of Extraction and Knowledge Management
Supervised learning: deep learning, rule learning, statistical learning, probabilistic models, set methods, regression, unbalanced classes, knowledge-based classification
Unsupervised learning: partitioning and overlay methods, hierarchical, multi-view, multi-strategy, co-clustering, constrained clustering
Pattern discovery method and pattern sets: sequences, graphs, tensors.
Theoretical framework for data mining, declarative query languages for data mining, constrained data mining, incremental methods
Scalable Data Mining Algorithms, Distributed / Parallel Systems for Data Mining
Statistical methods in data mining
Inductive logic programming
Topological learning, mathematical varieties
Analysis of symbolic data
Detection of exceptions, unexpected, anomalies, weak signals.
Visualization and visual excavation of massive data
Querying and reasoning on data in the presence of ontologies
Representation, processing and exchange of data and knowledge on the Semantic Web and the Web of related data
Variety of data and complex data: structured, semi-structured, textual data; temporal, spatial, geolocated data; multimedia data; relational data; network data, in graphs; dynamic data; data flow ; annotated data using ontologies; semantically heterogeneous data
Preservation of confidentiality and anonymity
Transparency, fairness and explicability of data processing and analysis algorithms
Methodological Aspects of Knowledge Extraction and Management
Acquisition, cleaning, data filtering, dimension reduction, selection and modification of characteristics
Knowledge and ontology management (acquisition, storage, update, interoperability, interconnection, evolution)
Life cycle and alignments of vocabularies (ontologies, thesaurus, metadata) on the Web
Preparation, architecture and related data models on the Web.
Integration of knowledge in the extraction process (ontologies, expertise, ...)
Traceability, security and integrity of information and data
Platforms and systems for extracting and managing data and knowledge
Experimental studies on large data
Interaction and active learning
Visualization, explanation and understanding of results
Criteria and evaluation of data quality, knowledge extracted
Evaluation protocols and template validation from users
Man-machine interaction in data mining
Extraction and knowledge management in emerging or related fields
Link analysis, online communities, social networks, social media.
Data mining opinions, news, microblogging
Mobility, geo-localization, knowledge discovery and ubiquity, ambient intelligence, sensor networks, internet of things
Big data and new paradigms of data processing: high performance computing, parallelism, distributed systems
Crowdsourcing, behavior modeling
Data Web Search, Semantic Web Extraction, Multimedia Web Content Annotation, Web of Objects annotation
Cross fertilization between knowledge extraction and other fields of research or applications: artificial intelligence, social sciences and humanities, automatic language processing, image processing, computer vision.
Applications of Extraction and Knowledge Management
Sustainable development, transport and smart places
Green Computing for Knowledge Management and Extraction
Modeling epidemics, clinical research, medicine, biology
Intrusion detection, fraud prevention, security
Corporate memories, technology watch, economic intelligence
Recommendation system, e-commerce, online advertising
Applications in other fields such as chemistry, environment, social sciences, education, economics, finance, tourism, defense, software engineering.
Submission
Several types of communication are possible (software demonstrations, and thematic workshops are subject to specific calls for contributions):
Original research work (academic or application / industrial) submitted in a single format of 12 pages max, published in the form of long articles of 12 pages, short articles of 6 pages or posters accompanied by summaries of 2 pages, according to their maturity. Each article accepted with a long or short format will be presented orally at the conference and the authors may, if they wish, accompany their oral communication with a poster.
Research work already published in good conferences or international journals but unpublished in French (for a publication in the acts of a summary of 6 pages obligatorily in French)
Software demonstrations where the demonstration is completed with an article of 4 to 6 pages: see call for submissions specific to the demonstrations.
Thematic Workshops: see call for submissions specific to the organization of thematic workshops to be held on Tuesday 22 January 2019
Articles may be submitted in French or English but if accepted, the article will have to be translated into French except for articles where the authors are non-French speaking. Verification of the translation may be carried out and the program committee reserves the right to reject an article following this step.
Submission format
Submissions will be anonymous and will be made electronically exclusively from the conference website.
Submissions that exceed 12 pages or that do not respect anonymity and / or RNTI Latex format will not be evaluated.
01月22日
2019
01月25日
2019
摘要截稿日期
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
留言