Topics

Topics of interest include, but are not limited to the acquisition of the knowledge, the representation of the knowledge in various databases, the management of the knowledge, and the application of semantic-based techniques and technologies in research fields related to (but not limited):
- Knowledge Graph Management
- Entity and Relation Extraction
- Data Cleaning and Data Integration
- RDF-based Data Representation
- Graph Management and Search
- Recommendation System based on Knowledge
- Privacy Protection in Knowledge Management
- Spatial and Temporal Data Management
- Personalized and Context-Aware Ontology
- Crowdsourcing in Knowledge Management
- Deep Learning in Knowledge Management

Submissions

Authors are invited to submit electronically original, English-language research contributions not concurrently submitted elsewhere. Accepted papers will be published by Springer as proceedings in Lecture Notes in Computer Science (LNCS).
All submitted papers should be Springer LNCS camera-ready format. The style files are available from Springer LNCS site.
All submissions files should be in PDF formats. The number of pages should not exceed 15 pages. Any paper more than 15 pages will be rejected.
Please submit your paper(s) at: https://cmt3.research.microsoft.com/KARM2017