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活动简介

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.

组委会

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

征稿信息

重要日期

2018-10-07
摘要截稿日期
2018-10-15
初稿截稿日期
2018-11-23
初稿录用日期
2018-12-12
终稿截稿日期

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.

作者指南

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.

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重要日期
  • 会议日期

    01月22日

    2019

    01月25日

    2019

  • 10月07日 2018

    摘要截稿日期

  • 10月15日 2018

    初稿截稿日期

  • 11月23日 2018

    初稿录用通知日期

  • 12月12日 2018

    终稿截稿日期

  • 01月25日 2019

    注册截止日期

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