Dagstuhl reports最新文献

{"title":"Urban Mobility Analytics (Dagstuhl Seminar 22162)","authors":"D. Jonietz, Monika Sester, K. Stewart, S. Winter, M. Tomko, Yanan Xin","doi":"10.4230/DagRep.12.4.26","DOIUrl":"https://doi.org/10.4230/DagRep.12.4.26","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"26-53"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351)","authors":"Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke","doi":"10.4230/DagRep.12.8.103","DOIUrl":"https://doi.org/10.4230/DagRep.12.8.103","url":null,"abstract":"The use of artificial intelligence continues to impact a broad variety of domains, application areas, and people. However, interpretability, understandability, responsibility, accountability, and fairness of the algorithms’ results – all crucial for increasing humans’ trust into the systems – are still largely missing. The purpose of this seminar is to understand how these components factor into the holistic view of trust. Further, this seminar seeks to identify design guidelines and best practices for how to build interactive visualization systems to calibrate trust.","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"103-116"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rational Design of RiboNucleic Acids (Dagstuhl Seminar 22381)","authors":"Sven Findeiss, C. Flamm, Yann Ponty","doi":"10.4230/DagRep.12.9.121","DOIUrl":"https://doi.org/10.4230/DagRep.12.9.121","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"121-149"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visual Text Analytics (Dagstuhl Seminar 22191)","authors":"Christopher Collins, Antske Fokkens, A. Kerren, C. Weaver, Angelos Chatzimparmpas","doi":"10.4230/DagRep.12.5.37","DOIUrl":"https://doi.org/10.4230/DagRep.12.5.37","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"37-91"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)","authors":"Philipp Berens, Kyle Cranmer, Neil D. Lawrence, U. V. Luxburg, Jessica Montgomery","doi":"10.4230/DagRep.12.9.150","DOIUrl":"https://doi.org/10.4230/DagRep.12.9.150","url":null,"abstract":"This report documents the programme and the outcomes of Dagstuhl Seminar 22382 “Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling”. Today’s scientific challenges are characterised by complexity. Interconnected natural, technological, and human systems are influenced by forces acting across time- and spatial-scales, resulting in complex interactions and emergent behaviours. Understanding these phenomena – and leveraging scientific advances to deliver innovative solutions to improve society’s health, wealth, and well-being – requires new ways of analysing complex systems. The transformative potential of AI stems from its widespread applicability across disciplines, and will only be achieved through integration across research domains. AI for science is a rendezvous point. It brings together expertise from AI and application domains; combines modelling knowledge with engineering know-how; and relies on collaboration across disciplines and between humans and machines. Alongside technical advances, the next wave of progress in the field will come from building a community of machine learning researchers, domain experts, citizen scientists, and engineers working together to design and deploy effective AI tools. This report summarises the discussions from the seminar and provides a roadmap to suggest how different communities can collaborate to deliver a new wave of progress in AI and its application for scientific discovery.","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"150-199"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22161)","authors":"P. Jaini, K. Kersting, Antonio Vergari, M. Welling","doi":"10.4230/DagRep.12.4.13","DOIUrl":"https://doi.org/10.4230/DagRep.12.4.13","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"13-25"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century (Dagstuhl Seminar 22372)","authors":"Paul Groth, E. Simperl, M. Erp, Denny Vrandečić","doi":"10.4230/DagRep.12.9.60","DOIUrl":"https://doi.org/10.4230/DagRep.12.9.60","url":null,"abstract":"This report documents the programme and outcomes of Dagstuhl Seminar 22372 “Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century” held in September 2022. The seminar aimed to gain a better understanding of the way knowledge graphs are created, maintained, and used today, and identify research challenges throughout the knowledge engineering life cycle, including tasks such as modelling, representation, reasoning, and evolution. The participants identified directions of research to answer these challenges, which will form the basis for new methodologies, methods, and tools, applicable to varied AI systems in which knowledge graphs are used, for instance, in natural language processing, or in information retrieval. The seminar brought together a snapshot of the knowledge engineering and adjacent communities, including leading experts, academics, practitioners, and rising stars in those fields. It fulfilled its aims – the participants took inventory of existing and emerging solutions, discussed open problems and practical challenges, and identified ample opportunities for novel research, technology transfer, and inter-disciplinary collaborations. Among the topics of discussion were: designing engineering methodologies for knowledge graphs, integrating large language models and structured data into knowledge engineering pipelines, neural methods for knowledge engineering, responsible use of AI in knowledge graph construction, other forms of knowledge representations, and generating user and developer buy-in. Besides a range of joint publications, hackathons, and project proposals, the participants suggested joint activities with other scientific communities, in particular those working on large language models, generative AI, FAccT (fairness, accountability, transparency), and human-AI interaction. The discussions were captured in visual summaries thanks to Catherine Allan – you can find more about her work at https://www.catherineallan.co.uk/. The summaries are arrayed throughout this report. Lastly, knowledge about the seminar is captured in Wikidata at https: //www.wikidata.org/wiki/Q113961931 Seminar September 12–14, 2022 – http://www.dagstuhl.de/22372 2012 ACM Subject Classification Computing methodologies → Knowledge representation and reasoning; Computing methodologies → Natural language processing; Computing methodologies → Machine learning; Information systems → Information retrieval; Computing methodologies → Ontology engineering; Computing methodologies → Reasoning about belief and knowledge; Human-centered computing → Collaborative and social computing theory, concepts and paradigms","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"60-120"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning and Logical Reasoning: The New Frontier (Dagstuhl Seminar 22291)","authors":"Sébastien Bardin, S. Jha, Vijay Ganesh","doi":"10.4230/DagRep.12.7.80","DOIUrl":"https://doi.org/10.4230/DagRep.12.7.80","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"80-111"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70436581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Security of Decentralized Financial Technologies (Dagstuhl Seminar 22421)","authors":"Arthur Gervais, Marie Vasek","doi":"10.4230/DagRep.12.10.129","DOIUrl":"https://doi.org/10.4230/DagRep.12.10.129","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"129-142"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432)","authors":"Khalid Al Khatib, A. Waard, Dayne Freitag, Iryna Gurevych, Yufang Hou, Harrisen Scells","doi":"10.4230/DagRep.12.10.175","DOIUrl":"https://doi.org/10.4230/DagRep.12.10.175","url":null,"abstract":"","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"175-206"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}