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'''22nd International Conference on Knowledge Engineering and Knowledge Management''' ==Topics== '''Ethical and Trustworthy Knowledge Engineering''' *Ethics and trust in automated reasoning *Algorithmic transparency and explanations for knowledge-based systems *Knowledge and ethics *Ontologies for trust and ethics *Trust and privacy in knowledge representation '''Knowledge Engineering and Acquisition''' *Tools and methodologies for ontology engineering *Ontology design patterns *Ontology localisation *Multilinguality in ontologies *Ontology alignment *Knowledge authoring and semantic annotation *Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.) *Semi-automatic knowledge acquisition, e.g., ontology learning *Collaborative knowledge acquisition and formalisation *Mining the Semantic Web and the Web of Data *Ontology evaluation and metrics *Uncertainty and vagueness in knowledge representation *Dealing with dynamic, distributed and emerging knowledge <br> '''Knowledge Management''' *Methodologies and tools for knowledge management *Knowledge sharing and distribution, collaboration *Best practices and lessons learned from case studies *Provenance and trust in knowledge management *FAIR data and knowledge *Methods for accelerating take-up of knowledge management technologies *Corporate memories for knowledge management *Knowledge evolution, maintenance and preservation *Incentives for human knowledge acquisition and data quality improvement (e.g. games with a purpose) <br> '''Social and Cognitive Aspects of Knowledge Representation''' *Similarity and analogy-based reasoning *Knowledge representation inspired by cognitive science *Synergies between humans and machines *Knowledge emerging from user interaction and networks *Knowledge ecosystems *Expert finding, e.g., by social network analysis *Collaborative and social approaches to knowledge management and acquisition *Crowdsourcing in knowledge management <br> '''Knowledge discovery''' *Mining patterns and association rules *Mining complex data: numbers, sequences, trees, graphs *Formal Concept Analysis and extensions *Numerical data mining methods and knowledge processing *Mining the web of data for knowledge construction *Text mining and ontology engineering *Classification and clustering for knowledge management *Symbolic and sub-symbolic learning machine learning <br> '''Applications in specific domains such as''' *eGovernment and public administration *Life sciences, health and medicine *Humanities and Social Sciences *Automotive and manufacturing industry *Cultural heritage *Digital libraries *Geosciences *ICT4D (Knowledge in the developing world)<br> ==Submissions== Pre-submission of abstracts is a strict requirement. All papers and abstracts have to be submitted electronically via Easychair. All submissions for research, in-use, and position papers must be in English, and no longer than 15 pages. Papers that exceed this limit will be rejected without review. Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer”s Author Instructions.<br> ==Important Dates== Abstract deadline: April 23, 2020<br> Submission deadline: April 30, 2020<br> Notification of acceptance: June 23, 2020<br> Camera-ready paper: July 2, 2020<br> Conference days: September 16-20, 2020 All submission deadlines are 23:59:59 Hawaii Time. ==Committees== '''General Chairs''' *Oliver Kutz (Bolzano) *Rafael Peñaloza (Milano) '''PC Chairs''' *Michel Dumontier (Maastricht) *Maria Keet (Cape Town) '''Workshop Chairs''' *Anastasia Dimou (Gent) *Karl Hammar (Jönköping) '''Posters & Demos''' *Daniel Garijo *Agnieszka Lawrynowicz (Poznan) '''Publicity''' *Rafael Gonçalves (Stanford) '''Doctoral Consortium''' *tbd '''Local Organising Committee''' *Pietro Galliani (Bolzano) *Guendalina Righetti (Bolzano) *Nicolas Troquard (Bolzano) '''Registration and Accommodation''' *UNIBZ Event Management Office
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