-------- Forwarded Message -------- Subject: [WI] CfP K-CAP 2021 - Deadline 15 September 2021 Date: Tue, 27 Jul 2021 17:56:41 +0200 From: Marieke van Erp marieke.van.erp@dh.huc.knaw.nl Reply-To: Marieke van Erp marieke.van.erp@dh.huc.knaw.nl To: wi@lists.kit.edu
*apologies for cross-posting*
K-CAP 2021 The Eleventh International Conference on Knowledge December 2 - 3, 2021 A virtual conference https://www.k-cap.org/2021/
*Call for Papers* The massive quantity and increasing availability of information on the Web have catalyzed research in a wide range of fields. Today's data-driven world, however, needs more than an abundance of information, and there is a broadening focus on information quality and accuracy. Given the increasing demand for higher quality, accurate information that can be effectively and unambiguously used, the study of precise and scalable knowledge capture is of crucial importance. Knowledge capture involves the extraction of useful knowledge from multiple, potentially heterogeneous sources, as well as its acquisition directly from human experts.
The International Conference on Knowledge Capture, K-CAP, is a forum that brings together members of disparate research communities who are interested in efficiently and precisely capturing knowledge from a variety of heterogeneous sources, and in creating representations that can be useful for automated reasoning, analysis, and other forms of machine processing, as well as to support users in knowledge-intensive collaborative tasks.
To discuss and advance the goals of scalable and precise knowledge capture, K-CAP 2021 aims to attract researchers from diverse areas of artificial intelligence, including knowledge representation and reasoning, knowledge acquisition, semantic web, intelligent user interfaces for knowledge acquisition and retrieval, query processing and question answering over heterogeneous knowledge bases, novel evaluation paradigms, problem-solving and reasoning, agents, information extraction from structured or unstructured data, machine learning and representation learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data.
*Topics of interest*
- Knowledge acquisition - Knowledge authoring - Knowledge extraction - Knowledge management - Knowledge publication - Knowledge capture from multimodal data, e.g., text, audio, visual - Knowledge capture for the Semantic Web and the Web of Linked Data - Knowledge capture and enrichment in specific domains such as earth and life sciences - Knowledge capture and Interoperability with existing Knowledge Graphs (e.g., Wikidata, DBpedia) - Entity linking and resolution using target Knowledge (e.g. Wikidata, DBpedia) - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing for knowledge capture and refinement - Handling bias in knowledge capture - Knowledge capture from social environments and contexts - Problem-solving knowledge and methods - Knowledge-based markup techniques - Modeling methodologies for ontologies and knowledge graphs - Narrative intelligence - Knowledge capture through storytelling - Provenance and trust issues in knowledge intensive systems - Services and applications that enable or utilize data capture techniques - Semantic search and query enrichment - Knowledge engineering and knowledge governance - Ontology design patterns - Similarity measurement and analogy-based reasoning - Extracting knowledge graphs from unstructured/semi-structured and multimedia data - Summarization techniques for knowledge graphs - Visualization of knowledge graphs and visual query interfaces - Services and API for knowledge graphs - Addressing scalability issues for distributed knowledge graphs - Automated construction, enrichment and cleaning of knowledge graphs and alignment to existing graphs - Hybrid approaches for knowledge capture combining knowledge engineering and machine learning - Data dynamicity, heterogeneity, and decay in knowledge intensive systems
*Submissions*
The eleventh International Conference on Knowledge Capture, K-CAP 2021, features a full papers track for research papers, as well as tracks for short papers, for visionary ideas, and for demos.
- Full papers, which describe original research, can be up to 8 pages long including references. Full papers will appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Short papers, which may describe (possibly preliminary or open-ended) research, applications (academic, industrial or otherwise), and late breaking results, can be up to 4 pages long, including references. Short papers will also appear in the conference proceedings and will be citable as K-CAP 2021 publications; - Visionary papers, which describe outrageous ideas or potentially preliminary, but highly innovative research, can be up to 2 pages long, including references. Visionary papers will be presented as short talks in the conference program; - Demo papers, which exemplify applications or illustrate work presented in other submissions, can be up to 4 pages long, including references. Demos will be presented as short talks in the conference program.
Authors of all paper types will present their work in plenary sessions during the conference. Presentation timing for the different types of papers will be announced once the program is crafted.
K-CAP is not a double-blind conference, hence authors should list their names and affiliations on the submission. Please use the ACM 2 column SIG Conference Proceedings template for your submission. Submissions in HTML format are welcome, so long as authors of HTML submissions also provide a conversion of their submission to a PDF file that adheres to the required ACM template for proceedings. Papers submitted to the main conference track should not have been published before in an archival venue, or currently be under review in an archival venue. Authors are welcome to submit papers that have been published as a preprint on arXiv, or in a non-archival venue like a workshop.
All submissions to K-CAP should be made through EasyChair: https://easychair.org/conferences/?conf=kcap21
This year we will embrace the FAIR principles by collecting structured metadata of the datasets, software, ontologies and methods generated by K-CAP submissions. Authors will be encouraged to add these resources in the EasyChair submission form (together with a brief description). Accepted papers with resources will be highlighted in the main K-CAP conference page.
*Important Dates* - Paper submission: September 15, 2021 - Author notification: October 13, 2021 - Camera ready version due: October 25, 2021 - Conference dates: December 2-3, 2021
All deadlines are midnight AoE (Anywhere on Earth).
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