Business & Economics · Finance & Banking
11th International Conference on Knowledge Engineering and Applications (ICKEA 2027)
Part of the International Conference on Knowledge Engineering and Applications (ICKEA) series →
About & call for papers
About Publication Submissions will be peer-reviewed by 2–3 technical committee members or reviewers. Accepted papers after proper registration and presentation will be published in the ICKEA 2027 Conference Proceedings. Submission Guidelines Submission System… Read more
About Publication Submissions will be peer-reviewed by 2–3 technical committee members or reviewers. Accepted papers after proper registration and presentation will be published in the ICKEA 2027 Conference Proceedings. Submission Guidelines Submission System: https://www.zmeeting.org/submission/ICKEA2027 Submission Types (please indicate your submission type when submitting; once selected, it cannot be changed): Full Paper: For publication and presentation (Full Paper Template: https://ickea.org/files/Template.docx) Abstract: For presentation only (Abstract Template: https://ickea.org/files/Template-abstract.docx) No Submission Required: Attendance as a delegate only For more information about submissions, please refer to: https://ickea.org/submission.html Call for Papers Papers describing original work, as shown in any topic below, are invited. Acceptance will be based on quality, relevance, originality, etc. Both full research and work-in-progress reports are welcome. Topics of interest for submission include, but are not limited to: Track 1: Knowledge Representation, Reasoning and Ontology Engineering Knowledge Representation and Reasoning Ontology Engineering and Development Ontology Matching and Alignment Knowledge Acquisition and Modeling Track 2: Knowledge Graphs, Semantic Web and Intelligent Information Knowledge Graph Construction and Management Knowledge Graph Embedding and Completion Knowledge Graph Query and Reasoning Multimodal and Dynamic Knowledge Graphs Track 3: Artificial Intelligence and Knowledge-Driven Systems AI for Knowledge Engineering Machine Learning and Deep Learning Knowledge-Driven Learning Large Language Models and Generative AI Track 4: Knowledge Management, Sharing and Organizational Intelligence Knowledge Management Systems Knowledge Sharing and Collaboration Organizational Learning and Organizational Memory Knowledge Management Strategies and Practices Track 5: Data, Information and Knowledge Engineering Data Mining and Knowledge Discovery Data Integration and Interoperability Big Data and Knowledge Analytics Context Modeling and Management Track 6: Data, Information and Knowledge Engineering Knowledge Engineering in Business and E-Commerce Healthcare and Medical Applications Education and E-Learning Smart Cities and Intelligent Communities More topics, please kindly check: https://ickea.org/topics.html Contact us Conference Secretary: Ms. Lauren Lee E-mail address: [email protected] LinkedIn: www.linkedin.com/in/joie-wu
Venue
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