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This book constitutes the refereed proceedings of the 11th International Conference on Model and Data Engineering, MEDI 2022, held in Cairo, Egypt, in November 2022. The 18 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover topics such as database systems, data stream analysis, knowledge-graphs, machine learning, model-driven engineering, image processing, diagnosis, natural language processing, optimization, and advanced applications such as the internet of things and healthcare.

This book contains the proceedings of the 2018 International Conference on Information and Knowledge Engineering (IKE'18).IKE is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results.

This volume contains the proceedings of the 2017 International Conference on Information and Knowledge Engineering (IKE'17).

Information and Knowledge Engineering is a compendium of articles and papers that were presented at IKE'16, an international conference that serves researchers, scholars, professionals, students, and academicians.

Information and Knowledge Engineering is a compendium of articles and papers that were presented at IKE'15, an international conference that serves researchers, scholars, professionals, students, and academicians.

CONTENTS: SESSION: KNOWLEDGE ENGINEERING AND MANAGEMENT + KNOWLEDGE ACQUISITION SESSION: DATABASES, INFORMATION RETRIEVAL AND SEARCH SESSION: DECISION SUPPORT SYSTEMS SESSION: MINING OF DATA RICH SOURCES

New research by international contributors on Information and Knowledge Engineering

This book constitutes the refereed proceedings of the 2nd International Conference on Model and Data Engineering, MEDI 2012, held in Poitiers, France, in October 2012. The 12 revised full papers presented together with 5 short papers were carefully reviewed and selected from 35 submissions. The papers are cover the topics of model driven engineering, ontology engineering, formal modeling, security, and data mining.

New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.