June 2020 - sem-grd - lists.ogf.org

AI4LEGAL2020 - CFP
by Eleni Tsalapati 11 Aug '20

11 Aug '20

CALL FOR PAPERS ================ International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL2020) In the context of the International Semantic Web Conference 2020 (ISWC 2020) Virtual Event November 2 or 3, 2020 http://ai.di.uoa.gr/#iswc20-workshop Legislation applies to every aspect of people’s living and evolves continuously building a huge network of interlinked legal documents. Therefore, it is important for a government to offer services that make legislation easily accessible to the citizens aiming at informing them, enabling them to defend their rights, or to use legislation as part of their job. It is equally important to have law professionals (lawyers, judges, etc.) access legislation in ways that allow them to do their job easily (e.g., they might need to be able to see the evolution of a law over time). Finally, in the age of the Web, it is important to enable software developers to develop applications for citizens and law professionals easily, by connecting the available laws with other kinds of government or private sector information. Towards this direction, there are already many countries in Europe and elsewhere that have computerized the legislative process by developing platforms for archiving legislation documents and offering on-line access to them using standards such as Akoma Ntoso (aka LegalDocML) which is an OASIS standard, the European standard CEN-MetaLex, the European Legislation Identifier, the European Case Law Identifier etc. There also private companies (e.g., ROSS Intelligence, LexisNexis, RAVEL, LexMachina etc.) that specialize on providing digital services for law, case law, compliance, contracts, etc. The vision of the AI4LEGAL international workshop is to bring together Artificial Intelligence researchers and practitioners to work on the problem of digitization of legislation and legal documents in today’s interconnected world. Topics of Interest =================== Topics of interest include, but are not limited to: -Natural language processing techniques for legal documents -Legal knowledge graphs -Knowledge representation and reasoning techniques for legal documents -Explainable AI for legal documents -Linked data for legal documents -Machine learning techniques for legal documents -Scalable deep learning techniques for legal text analytics -Question answering for legal documents -Chatbots for legal documents -Language resources for digital legal document research and development -National or international initiatives and digital platforms for legislation -Multilingualism -Specific application areas (legislation, judicial decisions, case law, compliance, contracts) Submissions =========== Contributions to the workshop can be made in terms of long or short papers. Long papers should be at most 16 pages including references. Short papers should be of at most 8 pages including references. All contributions should be prepared in PDF format and should be submitted through the workshop submission site. -All papers and abstracts have to be submitted electronically via https://easychair.org/conferences/?conf=ai4legal2020 -All submissions must be in English. -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. -Accepted papers will be published as AI4LEGAL workshop proceedings. At least one author of each accepted paper must register for the workshop to present the paper. -The proceedings of the workshop will be made publicly available before the workshop on the platform http://ceur-ws.org/ Important Dates =============== Activities |Due Date -------------------------------------------- Papers due |August 17, 2020 Notification of acceptance or rejection |September 11, 2020 Camera ready paper due |September 25, 2020 All deadlines are midnight Athens time (GMT+2). Workshop Format =============== The workshop will follow the traditional format (invited talks, presentations by paper authors, questions from the audience) but will encourage discussion and identification of open issues by giving enough time for questions after presentations. Venue ====== There is no physical venue. The workshop will be held on-line like the rest of ISWC 2020. Program Chairs =============== Grigoris Antoniou, University of Huddersfield, United Kingdom ( G.Antoniou(a)hud.ac.uk, https://pure.hud.ac.uk/en/persons/grigoris-antoniou) Guido Governatori, Data 61 CSIRO, Australia ( Guido.Governatori(a)data61.csiro.au, http://www.governatori.net/research/index.html) Manolis Koubarakis, National and Kapodistrian University of Athens and Leader of Nomothesia project, Greece (koubarak(a)di.uoa.gr, http://cgi.di.uoa.gr/~koubarak/) Elena Montiel Ponsoda, Universidad Politécnica de Madrid, Spain ( emontiel(a)fi.upm.es, http://mayor2.dia.fi.upm.es/oeg-upm/index.php/en/teachers/52-emontiel/) Eleni Tsalapati, National and Kapodistrian University of Athens, Greece ( etsalapati(a)lboro.ac.uk) Program Committee ================== Nikolaos Aletras, University of Sheffield, United Kingdom Ion Androutsopoulos, Athens University of Economics and Business, Greece Karim Benyekhlef, Cyberjustice Laboratory, University of Montreal, Canada Ilias Chalkidis, Athens University of Economics and Business and NCSR Demokritos, Greece Jack G. Conrad, Thomson Reuters, United States of America Randy Goebel, University of Alberta and ROSS Intelligence, Canada Martin Kaltenböck, Semantic Web Company, Austria George Karvelis, Ministry of Digital Governance and European Public Law Organization, Greece John P. McCrae, Insight Centre for Data Analytics, NUI Galway, Ireland Marc van Opijnen, Publications Office of the Netherlands and European Case Law Identifier expert group, The Netherlands Jeff Z. Pan, The University of Aberdeen, UK Víctor Rodríguez-Doncel, Universidad Politécnica de Madrid, Spain Pompeu Casanovas Romeu, Autonomous University of Barcelona, Spain, and La Trobe University, Australia Ken Satoh, National Institute of Informatics and Sokendai, Japan Clara Smith, Universidad Nacional de La Plata, Argentina Martin Theobald, University of Luxembourg, Luxembourg Leon van de Torre, University of Luxembourg, Luxembourg John Zeleznikow, Victoria University, Australia

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IEEE BigData 2020 Call for Papers
by CFP Conference 09 Jun '20

09 Jun '20

*Call for Papers* *2020 IEEE International Conference on Big Data (IEEE BigData 2020)* http://bigdataieee.org/BigData2020/ December 10-13, 2020, *IEEE BigData 2020 – Now Taking Place Virtually* The safety and well-being of all conference participants is our priority. After evaluating the current COVID-19 situation, the decision has been made to transform the in-person component of IEEE BigData 2020 into an all-digital conference experience – IEEE BigData 2020 will now be an online event. Therefore, IEEE BigData 2020 will no longer take place in Atlanta, Georgia, US and will instead take place virtually. The conference dates remain the same – December 10-13, 2020. Proceedings will not be cancelled, and publications will continue as planned. In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data. · The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries ( http://bigdataieee.org/BigData2013/) and the regular paper acceptance rate is 17.0%. · The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ , regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with close to 1100 registered participants from 47 countries. · The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ , regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec 9-12, 2019 with close to 1200 registered participants from 54 countries. The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. The conference adopts single-blind review policy. We expect to have a very high quality and exciting technical program at Seattle this year. *Example topics of interest includes but is not limited to the following*: 1. Big Data Science and Foundations a. Novel Theoretical Models for Big Data b. New Computational Models for Big Data c. Data and Information Quality for Big Data d. New Data Standards 2. Big Data Infrastructure a. Cloud/Grid/Stream Computing for Big Data b. High Performance/Parallel Computing Platforms for Big Data c. Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment d. Energy-efficient Computing for Big Data e. Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data f. Software Techniques and Architectures in Cloud/Grid/Stream Computing g. Big Data Open Platforms h. New Programming Models for Big Data beyond Hadoop/MapReduce, STORM i. Software Systems to Support Big Data Computing 3. Big Data Management a. Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data b. Algorithms and Systems for Big DataSearch c. Distributed, and Peer-to-peer Search d. Big Data Search Architectures, Scalability and Efficiency e. Data Acquisition, Integration, Cleaning, and Best Practices f. Visualization Analytics for Big Data g. Computational Modeling and Data Integration h. Large-scale Recommendation Systems and Social Media Systems i. Cloud/Grid/Stream Data Mining- Big Velocity Data j. Link and Graph Mining k. Semantic-based Data Mining and Data Pre-processing l. Mobility and Big Data m. Multimedia and Multi-structured Data- Big Variety Data 4. Big Data Search and Mining a. Social Web Search and Mining b. Web Search c. Algorithms and Systems for Big Data Search d. Distributed, and Peer-to-peer Search e. Big Data Search Architectures, Scalability and Efficiency f. Data Acquisition, Integration, Cleaning, and Best Practices g. Visualization Analytics for Big Data h. Computational Modeling and Data Integration i. Large-scale Recommendation Systems and Social Media Systems j. Cloud/Grid/StreamData Mining- Big Velocity Data k. Link and Graph Mining l. Semantic-based Data Mining and Data Pre-processing m. Mobility and Big Data n. Multimedia and Multi-structured Data- Big Variety Data 5. Ethics, Privacy and Trust in Big Data Systems a. Techniques and models for fairness and diversity b. Experimental studies of fairness, diversity, accountability, and transparency c. Techniques and models for transparency and interpretability d. Trade-offs between transparency and privacy e. Intrusion Detection for Gigabit Networks f. Anomaly and APT Detection in Very Large Scale Systems g. High Performance Cryptography h. Visualizing Large Scale Security Data i. Threat Detection using Big Data Analytics j. Privacy Preserving Big Data Collection/Analytics k. HCI Challenges for Big Data Security & Privacy l. Trust management in IoT and other Big Data Systems 6. Hardware/OS Acceleration for Big Data a. FPGA/CGRA/GPU accelerators for Big Data applications b. Operating system support and runtimes for hardware accelerators c. Programming models and platforms for accelerators d. Domain-specific and heterogeneous architectures e. Novel system organizations and designs f. Computation in memory/storage/network g. Persistent, non-volatile and emerging memory for Big Data h. Operating system support for high-performance network architectures 7. Big Data Applications a. Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication b. Big Data Analytics in Small Business Enterprises (SMEs), c. Big Data Analytics in Government, Public Sector and Society in General d. Real-life Case Studies of Value Creation through Big Data Analytics e. Big Data as a Service f. Big Data Industry Standards g. Experiences with Big Data Project Deployments *INDUSTRIAL Track* The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages). *Student Travel Award* IEEE Big Data 2020 will offer* student travel *to student authors (including post-docs) *Paper Submission:* Please submit a full-length paper (up to *10 page IEEE 2-column format*) through the online submission system. https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=BigD Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below). *Formatting Instructions* 8.5" x 11" (DOC <ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc>, PDF <ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf>) *LaTex Formatting Macros* <ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.…> *Important Dates:* Electronic submission of full papers: August 19, 2020 Notification of paper acceptance: Oct 16, 2020 Camera-ready of accepted papers: Nov 10, 2020 Conference: Dec 10-13, 2020 ######################################################################## To unsubscribe from the BIGDATA list, click the following link: http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3NjE0IHNlbS1ncmRAT0dGLk9SRyBCS…

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IEEE BIBM 2020 Call for Papers
by CFP Conference 09 Jun '20

09 Jun '20

Call For Paper 2020 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020) December 16-19, 2020, https://ieeebibm.org/BIBM2020/ *IEEE BIBM 2020 – Now Taking Place Virtually* The safety and well-being of all conference participants is our priority. After evaluating the current COVID-19 situation, the decision has been made to transform the in-person component of IEEE BIBM 2020 into an all-digital conference experience – IEEE BIBM 2020 will now be an online event. Therefore, IEEE BIBM 2020 will no longer take place in Seoul, South Korea and will instead take place virtually. The conference dates remain the same – December 16-19, 2020. Proceedings will not be cancelled, and publications will continue as planned. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM) has established itself as the premier research conference in bioinformatics and biomedicine. IEEE BIBM 2020 provides a leading forum for disseminating the latest research in bioinformatics and health informatics. It brings together academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics and statistics. We solicit high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics, genomics, and biomedicine. New computational techniques and methods and their application in life science and medical domains are especially encouraged. Relevant topics include but are not limited to: *1. Bioinformatics and Computational Biology of Molecular Structure, Function and Evolution* 1.a. Evolution, Phylogeny, Comparative Genomics 1.b. Protein/RNA Structure, Function and Interactions 1.c. 3D genome *2. Computational Systems Biology* 2.a. Pathway Analysis 2.b. Biological Network Analysis 2.c. Interactomics 2.d. Gene Expression and Regulation 2.e. Post-translational Modifications 2.f. Alternative Splicing 2.g. Non-coding RNA Analysis *3. Next Generation Sequencing and High-throughput Methods* 3.a. Next-Gen Sequencing 3.b. Microarray Data Analysis 3.c. SNPs and Haplotype Analysis, GWAS, Personalized Genomics 3.d. Transcriptomics 3.e. Metabolomics 3.f. Proteomics 3.g. Epigenomics *4. Cheminformatics and pharmacogenomics* 4.a. Cheminformatics and Computer-Aided Drug Design 4.b. Molecular Docking 4.c. Molecular Modeling 4.d. Pharmacogenomics *5. Cross-Cutting Computational Methods and Bioinformatics of Disease* 5.a. Data Mining, Machine Learning, and Artificial Intelligence 5.b. Big Data Analytics 5.c. High Performance Computing 5.d. Information Retrieval, Ontologies, Natural Language Processing, and Text Mining 5.e. Data Visualization 5.f. Computational Modeling and Data Integration 5.g. Precision Medicine 5.h. Genome-Phenome Analysis 5.i. Biomarker Discovery 5.j. Pathogen bioinformatics *6. Biomedical and Health Informatics* 6.a. Data Mining, Machine Learning, and Artificial Intelligence 6.b. Big Data Analytics 6.c. Information Retrieval, Ontologies, Natural Language Processing, and Text Mining 6.d. Biomedical Image Analysis 6.e. Biomedical Signal Analysis 6.f. Healthcare Knowledge Representation & Reasoning 6.g. Data Visualization 6.h. Data Interoperability and Health Information Exchange 6.i. Human-computer Interaction and Human Factors 6.j. Clinical and Health Information Systems 6.k. Consumer Informatics and Personal Health Records 6.l. Electronic Medical/Health Records and Standards 6.m. Mobile Health 6.n. Clinical Decision Support INDUSTRIAL Track The Industrial Track solicits papers describing implementations of Bioinformatics and Biomedicine solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of bioinformatics and biomedicine technologies in industry. We accept full papers (up to 8 pages), extended abstracts (2-4 pages), as well as short abstracts (1 page, 500 words). Journal special issues IEEE BIBM has a tradition to publish selected papers as special issues in highly respected journals. We will publish the special issues publications with many journals: - IEEE Transactions on NanoBiosceince - IEEE/ACM Transactions on Bioinformatics and Computational Biology - International Journal of Data Mining and Bioinformatics - Methods - BMC Genomics - BMC Bioinformatics - BMC Complementary and Alternative Medicine - BMC Bioinformatics - BMC Medical Genomics - BMC Human Genomics In the past BIBM conferences, the number of special issues are: - BIBM 2018: 11 special issues - BIBM 2017: 9 special issues - BIBM 2016: 9 special issues - BIBM 2015: 9 special issues - BIBM 2014: 10 special issues - BIBM 2013: 9 special issues - BIBM 2012: 8 special issues - BIBM 2011: 8 special issue - BIBM 2010: 7 special issues - BIBM 2009: 4 special issues - BIBM 2008: 4 special issues Student Travel Award BIBM 2020 will offer as many as possible student travel awards to student authors (including post-doc). - BIBM 2019: 35 Student travel Awards - BIBM 2018: 25 student travel awards - BIBM 2017: 20 student travel awards - BIBM 2016: 36 student travel awards - BIBM 2015: 30 student travel awards - BIBM 2014: 25 student travel awards - BIBM 2013: 40 student travel awards - BIBM 2012: 30 student travel awards - BIBM 2011: 28 student travel awards - BIBM 2010: 22 student travel awards - BIBM 2009: 16 student travel awards Paper Submission Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system (you can download the format instruction here ( http://www.ieee.org/conferences_events/conferences/publishing/templates.html) Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance. Online Submission: https://wi-lab.com/cyberchair/2020/bibm20/index.php Important Dates - Electronic submission of full papers: Sept 1, 2020 - Notification of paper acceptance: Oct 30, 2020 - Camera-ready of accepted papers: Nov 18, 2020 - Conference: Dec. 16-19, 2020 ######################################################################## To unsubscribe from the DMB-LIST list, click the following link: http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3NjE0IHNlbS1ncmRAT0dGLk9SRyBET…

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12 PhD Positions in the Doctoral Program Logical Methods in Computer Science (LogiCS) - fully funded - Vienna, Austria - Deadline: 12 June 2020
by Mihaela Rozman 02 Jun '20

02 Jun '20

========================================================== ========================================================== TU Wien (Vienna University of Technology) TU Graz (Graz University of Technology), and JKU Linz (Johannes Kepler University), are seeking highly qualified PhD candidates for the joint doctoral program on Logical Methods in Computer Science (LogiCS), funded by the Austrian Science Fund (FWF). We are recruiting up to 12 fully funded doctoral candidates for a starting period of 3 years. STARTING DATE: Negotiable LOCATION: Vienna or Graz, Austria (candidate´s choice) SALARY: The PhD candidates receive an employment contract DEADLINE: June 12, 2020 WEBSITE: https://logic-cs.at/phd ========================================================== ========================================================== The PhD program focuses on interdisciplinary research topics covering – computational logic, and applications of logic to – databases and artificial intelligence, – computer-aided verification, – security and privacy, – cyber-physical systems, as well as to – distributed systems. ========================================================== ============= RESEARCH AREAS ============= At the moment we are particularly looking for PhD candidates interested in the following areas: * Automated Software Verification * Description Logics * Epistemic logic in distributed computing * Game-based Semantics * Fixed-Parameter Algorithms and Complexity * Formal Verification of hybrid systems * Knowledge Representation and Reasoning * Model Checking * Modeling and analysis of digital integrated circuits * Networking and Communication Technology * Normative Reasoning * Ontology-based Data Access * Security and Privacy * Scheduling and logic programming * Study of the Interaction between rules from a knowledge base and rules arising from machine learning * Topology in distributed computing * Quantified Boolean Formulas ============= THE PROGRAM ============= Our PhD program LogiCS is focusing on logic and its applications in computer science. Successful applicants will work with and be mentored by leading researchers in the fields of computational logic, databases and knowledge representation, computer-aided verification, security and privacy, cyber-physical systems, and distributed systems. The LogiCS doctoral program offers top research expertise, and a stimulating and supportive environment. The LogiCS is coordinated by TU Wien, which offers an outstanding research environment and numerous professional development opportunities. The Faculty of Informatics of TU Wien is the largest one in Austria and is consistently ranked among the best in Europe. The founding body of the LogiCS, the Austrian Science Fund (FWF), offers multiple funding opportunities for young researchers to advance their independent scientific careers. ============= FACULTY MEMBERS ============= - E. Bartocci - A. Biere - R. Bloem - A. Ciabattoni - T. Eiter - G. Gottlob - R. Grosu - L. Kovacs - M. Maffei - M. Ortiz - U. Schmid - M. Seidl - S. Szeider - G. Weissenbacher - S. Woltran The LogiCS faculty comprises 15 renowned researchers with strong records in research, teaching and advising, complemented by 15 associated members who further strengthen the research and teaching activities of the college. ============= POSITIONS AND FUNDING ============= * We are looking for 12 very strong doctoral students. * The doctoral positions are funded for at least 3 years according to the funding scheme of the Austrian Science Fund (FWF) (EMPLOYMENT CONTRACT) * The location of the research post is Vienna or Graz, Austria. ============= HOW TO APPLY ============= Detailed information about the application process is available on the LogiCS web-page: https://logic-cs.at/phd/admission/ * The applicants are expected to have completed an excellent diploma or master’s degree in computer science, mathematics, or a related field. * Candidates with comparable achievements will be considered on a case-by-case basis. * Applications by the candidates need to be submitted electronically. Application Deadline: June 12, 2020 ============= LOGIC IN AUSTRIA ============= Austria has a highly active and successful logic in the computer science community. Recent activities include: Austrian Research Network in Rigorous Systems Engineering - http://www.arise.or.at Vienna Center for Logic and Algorithms - http://www.vcla.at International Kurt Goedel Society - http://www.kgs.logic.at ============= HIGHEST QUALITY OF LIFE ============= The Austrian cities Vienna, Graz, and Linz, located close to the Alps and surrounded by beautiful nature, provide an exceptionally high quality of life, with a vibrant cultural scene, numerous cultural events, world-famous historical sites, a large international community, a varied cuisine and famous coffee houses. If you decide to be located in Vienna, the city features a vibrant and excellence-driven research landscape, with several leading research institutes (e.g., University of Vienna, IST, AIT, SBA) and universities continuously establishing collaborations in various fields. Finally, Vienna has been consistently ranked by Mercer over the last years the best city for quality of life worldwide. ============= ADDITIONAL INFORMATION ============= LogiCS web-page: https://logic-cs.at/phd/admission/ For further information please contact: info(a)logic-cs.at <mailto:info@logic-cs.at> ============= TWITTER ============= @vclaTUwien

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