eKNOW 2018, The Tenth International Conference on Information, Process, and Knowledge Management


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

eKNOW 2018

March 25, 2018 to March 29, 2018 - Rome, Italy

The variety of the systems and applications and the heterogeneous nature of information and knowledge representation require special technologies to capture, manage, store, preserve, interpret and deliver the content and documents related to a particular target. Progress in cognitive science, knowledge acquisition, representation, and processing helped to deal with imprecise, uncertain or incomplete information. Management of geographical and temporal information becomes a challenge, in terms of volume, speed, semantic, decision, and delivery.

Information technologies allow optimization in searching an interpreting data, yet special constraints imposed by the digital society require on-demand, ethics, and legal aspects, as well as user privacy and safety. Nowadays, there is notable progress in designing and deploying information and organizational management systems, experts systems, tutoring systems, decision support systems, and in general, industrial systems.

Capturing, representing, and manipulating knowledge was and still is a fascinating and extremely useful challenge from both theoretical and practical perspective. Using validated knowledge for information and process management, and for decision support mechanisms raises a series of questions the conference is aimed at.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

Data Mining is a crucial step in Knowledge Discovery from Big Data. The aim is to gather interdisciplinary experiences and theoretical aspects of discovering knowledge using Data Mining
methods and techniques. Selecting the appropriate data and deriving appropriate knowledge (considering hidden patterns, linked data, volatile data, obsolete data, sensitive data, critical data, etc.) lead to Knowledge Discovery via a Knowledge discovery process. Adapting the extracted / induced knowledge to market analysis, fraud detection, customer retention, production management, science exploration, etc. is a challenging process. The DMKD track looks on critical aspects in bridging Data Mining, Knowledge Discovery and Knowledge Management process towards concrete applications.
Topics include, but not limited to:
 Data Mining methods to Discover Knowledge;
 Algorithms for Data Mining;
 Information retrieval;
 Text mining;
 Knowledge Discovery process;
 Data Warehouses (Big Data, too);
 Knowledge ontologies;
 Application of Data Mining in Industry (Industry 4.0).
Contribution Types
- Regular papers [in the proceedings, digital library]
- Short papers (work in progress) [in the proceedings, digital library]
- Posters: two pages [in the proceedings, digital library]
- Posters: slide only [slide-deck posted on www.iaria.org]
- Presentations: slide only [slide-deck posted on www.iaria.org]
- Demos: two pages [posted on www.iaria.org]
Important Datelines
- Inform the Chair: As soon as you decided to contribute
Submission: December 7, 2017
Notification: January 12, 2018
Registration: January 26, 2018
Camera ready: February 5, 2018
Note: These deadlines are somewhat flexible, providing arrangements are made ahead of time with the chair.
Paper Format
- Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html
- Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org
- Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html
- Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
Paper Submission
Please select Track Preference as DMKD
- Each accepted paper needs at least one full registration, before the camera-ready manuscript can be included in
the proceedings.
- Registration fees are available at http://www.iaria.org/registration.html
Chair: Samia Aitouche, samiaaitouche@yahoo.fr
Logistics: steve@iaria.org