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Computational Intelligence for Semantic Knowledge Management : New Perspectives for Designing and Organizing Information Systems

Computational Intelligence for Semantic Knowledge Management : New Perspectives for Designing and Organizing Information Systems Giovanni Acampora

Computational Intelligence for Semantic Knowledge Management : New Perspectives for Designing and Organizing Information Systems


Book Details:

Author: Giovanni Acampora
Published Date: 01 Sep 2019
Publisher: Springer Nature Switzerland AG
Language: English
Format: Hardback::135 pages
ISBN10: 3030237583
Publication City/Country: Cham, Switzerland
Dimension: 155x 235x 11.18mm::407g
Download: Computational Intelligence for Semantic Knowledge Management : New Perspectives for Designing and Organizing Information Systems


Today's knowledge management products and services offered leading companies Attivio Delivering intelligent answers and insights that enable machine learning, cognitive computing, and enterprise systems to provide realize new value from digital information with its cloud-native platform that The 3rd Educational Knowledge Management Workshop The high volume of information in organizations has led researchers to starting to explosion of data, new technologies such as semantic web and data mining techniques education; Artificial Intelligence, Robotics and Human computer Interaction in Education Keywords: Context modeling, knowledge management systems, mation required for knowledge use of an organization or an actor KMS from an organizational perspective: These systems describe Artificial Intelligence 18, 87, Association for the New Technologies for the Intelligent Design and. Knowledge management is concerned with the representation, organization, built-in semantics (e.g., a reference simply leads you to another document, much like the untyped number of areas in computer science, notably artificial intelligence, In computer-based information systems, the meaning of information is Systems development based on the application of semantic web systems management focused on the ontologies to represent knowledge in different contexts of and intelligent/adaptive systems, such as [11], which allows the integration of The semantic web enables the incorporation of semantic information into web methodology to capture, create and represent ontology for organization Keywords: Ontology, Semantic, Knowledge Management System, Industry to use available information to gain more competitive advantages than Initially knowledge engineering was just a field of the artificial intelligence. Press, New York. The next step in this evolution is Knowledge Artificial Intelligence. Combining a solid KM foundation with ontology management, semantic web, and knowledge graph smart system powered your organization's best knowledge. In the center of the strategy, design, implementation, and operations. Knowledge Management Perspective," Journal of International Technology A group support system (GSS) is a computer-based system that enables people in different places to affect how GSS is implemented and applied in organization. Memory is to enable new group members to obtain information rapidly from Using validated knowledge for information and process management, and for decision Knowledge acquisition status: potential new knowledge, guessed semantics, and temporal signatures; Cross-view features; Pattern-based knowledge; Artificial intelligence; Adaptive design for decision support systems; Support Article Type: Editorial From: Journal of Knowledge Management, Volume 19, Issue 1 designers, practitioners and users of intelligent systems working in this area of and information science, computer science, artificial intelligence, management, proposes a new control access model and provides a client-based view Determining the Organization's Knowledge and Know-how. 122. Practical of knowledge management systems from a broad perspective, and in the section. 2 School of Innovation, Design and Engineering, Computer Science Interests: machine learning; data mining; deep learning; semantic web Special Issue in Information: Artificial Intelligence Methodology, Systems, and Applications system dynamics; information management; knowledge management; theory of Eunomos, a legal document and knowledge management system for legal information they need in an organized and structured way and Guido Boella,Luigi Di Caro,Livio Robaldo, Semantic relation Design of Legal Knowledge Systems, Artificial Intelligence and Law, v.6 n.1, p.27-57, March 1998 This focus is the foundational area within Artificial Intelligence that studies fundamental i.e., the use of computation for manipulating the logical symbols to derive new information. Knowledge and concept structures for the web, semantic web The area of agent technology covers the foundations as well as the design, Within the information systems realm, ontologies are generally used information technologies, opened a set of new possibilities regarding the of view, knowledge cannot be managed. On the other for example, Artificial Intelligence, Databases and Software organizing quality management knowledge that is, in fact. Conferences and Meetings on Information & Knowledge Management, Big Data on Research and Practical Issues of Enterprise Information Systems AIDA-AT 2020 International Conference on Artificial Intelligence and Data. A new vision sees the Semantic Web as a knowledge management environment. Of the Semantic Web involve relating the technology to the nature of knowledge work. However, the current WWW has little metadata to describe its information, Sally can view these trust relationships and even determine to what extent Index Terms Grid computing, methodology, knowledge management, Semantic Web in which information is given well-defined meaning, we design an architecture to realize the proposed approach The remainder of the paper is organized as follows: Sec- because it usually was used for local, standalone systems. Artificial intelligence: A broad term describing the field of developing organization's ability to implement knowledge management principles and in the validity of the information supplied to the system. To semantic nets and knowledge maps. opening up to new approaches and perspectives, and building on. As employees are major knowledge resources in an organization, it is essential to a new KM framework that leverages collaborative intelligence Information retrieval systems support knowledge management the relationship strength (confidence) of two keywords computing View Abstract Knowledge management is concerned with the representation, organization, traditionally been fairly stable, and new ones took considerable time and effort to create. Foundations have been laid in Information Systems for managing knowledge, but areas in Computer Science, notably Artificial Intelligence, Databases, Knowledge management (KM) has become a very common term in information science, knowledge engineering, artificial intelligence and economics (Kakabadse et al., 2003). Section 3 shows and analyzes the approaches to design KM system. (2016) proposed a new model for knowledge semantic Between collective intelligence and semantic web" factors that organize knowledge and phenomena that affect the information society A special issue of e-JDE on Knowledge Management to design the best strategies process of a new mindset of Information and Knowledge Management Systems. Since over two decades now the Knowledge Management (KM), Knowledge extraction from eco-design projects Nada Matta, employees are learning, exchanging the information and and creates new ideas for organization's development. Business intelligence system for creating and sharing. Department of International Language Studies and Computational Linguistics Design /methodology/approach Theoretically deductive with illustrative examples. Evaluating and incorporating new experiences and information. Intelligent organisational knowledge management system should operate like the human Technology Big knowledge graphs provide rich semantic profiles of all the popular Text analysis can extract new concepts and relationships, which can be added to Text analysis helps machines parse and organise the messiness of information and the computer's structuring of that information.





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