To navigate the complex ecosystem of societal challenges, the International Conference on Knowledge Management Conference (ICKM 2017) focused on big data and data analytics as part of the relationship to the wider concept of knowledge management processes and practices.This book includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers, governments, and corporations.

"To navigate the complex ecosystem of societal challenges, the International Conference on Knowledge Management Conference (ICKM 2017) focused on big data and data analytics as part of the relationship to the wider concept of knowledge management processes and practices. This book includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers, governments, and corporations."--Publisher's website.

This book constitutes the thoroughly refereed proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2017, held in Funchal, Madeira, Portugal, in November 2017. The 19 full papers presented were carefully reviewed and selected from 157 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.

Today Learning Organizations are shaped by collective knowledge and the existence of teams and groups of people that are continuously developing their capacity and ability to create results. Knowledge-based organizations understand the importance of continually learning at all levels and facilitate learning for their members through empowering people, encouraging collaboration, and promoting open dialogue. Organizational management issues have become strategic and fundamental in the collection and sharing of data and information and are recognized as challenging to both public and private organizations around the world. This has created the need to knowledge governance mechanisms to support Knowledge Management practices in organizations.For this governance, the mechanisms and procedures that encompass Knowledge Management, advancing beyond the traditional Corporate Governance (CorpGov) model, have been consolidated into a new governance model described as Knowledge Governance (KGov). Such model considers the processes of the knowledge related to the use, creation, retention, integration and sharing. In order to implement governance, it is essential to develop competencies and establish corporate policies and structures focusing on respect for common interests and collective goals. In this context, mechanisms must be created for the creation, sharing, storage and transfer of knowledge, making changes happen in synergy and adding value to the organization as a whole.The book covers the newly emerging area of knowledge governance and Learning Organizations and expands our understanding of Learning Organizations and their ability to acquire, create and share knowledge while continually examining organizational behavioral issues affecting their productivity.

China is the largest emerging market economy and the second largest economy in the world. This fact makes better understanding of the experiences of Chinese firms globally and firms in China crucial factors for enhanced success. In essence, this book focuses on providing conceptual as well as in-depth case and other empirical studies on the challenges faced and lessons learned regarding the 'management of innovation, knowledge management, and branding' by Chinese firms in the global arena as well as foreign firms in China.

This book explores the relationship between social mentality, public opinion, media, and other factors through mixed methods in China, especially since the 21st century. The book deploys qualitative and quantitative research and adopts a multi-disciplinary perspective and diverse research methods. The studies are built on and contribute to the burgeoning literature seeking to anatomise the relationship between social mentality, media, and public opinion from the point of view of sociology and communication. It also aims to explore how media can be used to appease public opinion. As the first systematic study of the interconnection between social mentality and public opinion, this book provides empirical support and a theoretical framework for both areas. It will thus be a great read for students and scholars of communication, sociology, and social psychology, especially for those with a focus on China and new media.

This book constitutes the thoroughly refereed proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018, held in Seville, Spain, in September 2018. The 12 full papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.

This book constitutes the refereed proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Virtual Event, November 2-4, 2020. The conference was held virtually due to the COVID-19 crisis. The 8 full papers included in this book were carefully reviewed and selected from 133 submissions.

Within the last few years Data Warehousing and Knowledge Discovery technology has established itself as a key technology for enterprises that wish to improve the quality of the results obtained from data analysis, decision support, and the automatic extraction of knowledge from data. The Fourth International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2002) continues a series of successful conferences dedicated to this topic. Its main objective is to bring together researchers and practitioners to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focuses on the logical and physical design of data warehousing and knowledge discovery systems. The scope of the papers covers the most recent and relevant topics in the areas of association rules, clustering, Web mining, security, data mining techniques, data cleansing, applications, data warehouse design and maintenance, and OLAP. These proceedings contain the technical papers selected for presentation at the conference. We received more than 100 papers from over 20 countries, and the program committee finally selected 32 papers. The conference program included one invited talk: “Text Mining Applications of a Shallow Parser” by Walter Daelemans, Univer- ty of Antwerp, Belgium. We would like to thank the DEXA 2002 Workshop General Chair (Roland Wagner) th and the organizing committee of the 13 International Conference on Database and Expert Systems Applications (DEXA 2002) for their support and their cooperation.

This book constitutes the thoroughly refereed proceedings of the 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014, held in Rome, Italy, in October 2014. The 37 full papers presented were carefully reviewed and selected from 287 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.