Special Issue "AI-Based Knowledge Management"
Deadline for manuscript submissions: 15 June 2021.
Interests: decision support systems; artificial intelligence; information systems
Special Issues and Collections in MDPI journals
Interests: machine learning; artificial intelligence
Technology is replacing human tasks that require great human effort. The integration of knowledge management with advanced artificial intelligence technology has the potential to significantly reduce the amount of effort required to manage traditional knowledge management systems. The transfer of several human-driven tasks to artificial intelligence can reduce administrative overhead, increase the effectiveness of a small number of people to improve the flow of knowledge, to keep knowledge accurate, up-to-date, and trusted, and enhance transparency. Artificial intelligence can enable computer systems to collect knowledge and codify it by using a set of rules and standards without any human interventions. Similarly, artificial intelligence can obtain knowledge and perform knowledge classification, categorization, and indexing. Analytics can provide insights into generated knowledge, codification, and sharing patterns and system performance that were previously unavailable. Artificial intelligence can turn a previously unused and passive system into a dynamic, constantly improving knowledge engine. Artificial intelligence can also leverage the development of effective knowledge management strategic plans.
Although artificial intelligence can shift some of the burden from people to automated, intelligent technology, knowledge-intensive tasks pose several challenges to intelligent technologies. Effective knowledge retrieval over multiple dispersed sources of explicit and codified tacit knowledge, as well as multiple systems with heterogeneous interfaces that are not designed to optimize search, compound the problem. Trust in artificial intelligence methods and algorithms is another major challenge. Further, knowledge management managers need to know exactly how to use the new intelligent methods, what they can optimize with them, and how to demonstrate their impact on management. Finally, the lack of metrics and ROI of artificial intelligence initiative makes it difficult to oversee the value for knowledge management and prove its value over time. These challenges can be a cause of frustration and undermine the application of artificial intelligence.
This Special Issue is seeking high-quality submissions that highlight emerging applications and address recent breakthroughs in the applications of artificial intelligence to knowledge management. The topics of interest include, but are not limited to the following:
- Methods for developing effective knowledge management strategies
- Artificial intelligence for enhanced knowledge sharing
- Intelligent methods for knowledge codification and storage
- Knowledge representation and reasoning
- Intelligent knowledge extraction methods and tools for knowledge management
- Machine learning methods for knowledge management
- Data analytics for knowledge management
- Intelligent knowledge visualization techniques
- Artificial Intelligence for knowledge-based decision making
- Applications of AI-enabled knowledge management
- Methodologies for enabling trust in AI-enabled knowledge management
- Methodologies for deploying, using, and assessing AI-enabled knowledge management
Dr. Dimitris Apostolou
Dr. Dionisios Sotiropoulos
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.