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18 July 2018–18 July 2028 1st Workshop on Quality of Open Data (QOD 2018)
Associated with the 21st International Conference on Business Information Systems (BIS 2018)
The goal of this workshop is to bring together different communities working on quality of information in Wikipedia, DBpedia, Wikidata and other open knowledge bases. The workshop calls for sharing research experience and knowledge related to quality assessment in open data. We invite papers that provide methodologies and techniques, which can help to verify and enrich various community based services in different languages.
Topics of interest:
Quality management in open knowledge bases.
Large-scale information extraction
Multilingual entity recognition tasks
Enriching open databases with NLP methods
Quality assessment of Wikipedia articles
Improving quality of DBpedia, Wikidata and other semantic databases
Enrichment of multilingual open knowledge bases
Analysis of references and citation data
May 27, 2018 – submission deadline for papers
June 18, 2018 – notification of acceptance/rejection
June 25, 2018 – submission of final papers (for presentation)
July 18 or 19 or 20, 2018 – the workshop
3–5 May 2019 The International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2019)
Heraklion, Crete, Greece
The International Conference on Geographical Information Systems Theory,
Applications and Management aims at creating a meeting point of
researchers and practitioners that address new challenges in geo-spatial
data sensing, observation, representation, processing, visualization,
sharing and managing, in all aspects concerning both information
communication and technologies (ICT) as well as management information
systems and knowledge-based systems. The conference welcomes original
papers of either practical or theoretical nature, presenting research or
applications, of specialized or interdisciplinary nature, addressing any
aspect of geographic information systems and technologies.
1 . Data Acquisition and Processing
2 . Remote Sensing
3 . Modeling, Representation and Visualization
4 . Knowledge Extraction and Management
5 . Domain Applications
Lemonia Ragia, Technical University of Crete, Greece
Cédric Grueau, Polytechnic Institute of Setúbal/IPS, Portugal
Robert Laurini, Knowledge Systems Institute, USA
Regular Paper Submission: December 10, 2018
Regular Paper Authors Notification: February 7, 2019
Regular Paper Camera Ready and Registration : February 21, 2019
3–4 November 2017 International Conference on Computing and Technology
30 November–1 December 2017 Global Pharma R&D Informatics Congress
Increasing amounts of data is constantly being generated form a wide number of sources. This creates a great opportunity to extract new insights into how diseases work and how drugs can be developed to provide more targeted and effective treatments, but only if pharma and biotech companies can structure, integrate, and analyse this data to derive useful knowledge from it.
The industry therefore needs to develop new methods and utilise new technologies to get the best out of the information available as well as integrate their internal systems so that all teams get the information they need in a way they can understand in order to accelerate the drug development pipeline.
This conference is the perfect opportunity to learn about these developments and network with experts working in all areas of pharmaceutical R&D IT and discovery informatics.
23–25 January 2018 2018 International Conference on Business and Information - Winter Session-2
22 March–5 April 2018 The 2nd International Electronic Conference on Remote Sensing
Welcome from the Chair of the 2nd International Electronic Conference on Remote Sensing
We are very pleased to announce that the 2nd International Electronic Conference on Remote Sensing (ECRS-2) will be held online between 22 March and 5 April 2018.
Today, remote sensing is already recognised as an important tool for monitoring our planet and assessing the state of our environment. By providing a wealth of information that is used to make sound decisions on key issues for humanity such as climate change, natural resource monitoring and disaster management, it changes our world and affects the way we think.
Nevertheless, it is very inspirational that we continue to witness a constant growth of amazing new applications, products and services in different fields (e.g. archaeology, agriculture, forestry, environment, climate change, natural and anthropogenic hazards, weather, geology, biodiversity, coasts and oceans, topographic mapping, national security, humanitarian aid) which are based on the use of satellite and other remote sensing data. This growth can be attributed to the following: large number (larger than ever before) of available platforms for data acquisition, new sensors with improved characteristics, progress in computer technology (hardware, software), advanced data analysis techniques, and access to huge volumes of free and commercial remote sensing data and related products.
Following the success of the 1st International Electronic Conference on Remote Sensing (http://sciforum.net/conference/ecrs-1), ECRS-2 aims to cover all recent advances and developments related to this exciting and rapidly changing field, including innovative applications and uses.
We are confident that participants of this unique multidisciplinary event will have the opportunity to get involved in discussions on theoretical and applied aspects of remote sensing that will contribute to shaping the future of this discipline.
ECRS-2 (http://sciforum.net/conference/ecrs-2) is hosted on sciforum, the platform developed by MDPI for organising electronic conferences and discussion groups, and is sponsored by MDPI and the Remote Sensing open access Journal.
It should be noted that there is no cost for active participation and attendance of this virtual conference. Experts from different parts of the world are encouraged to submit their work and take the exceptional opportunity to present it to the remote sensing community.
Contributions to ECRS-2 should be submitted in one of the following sections:
• New Platforms and Sensors
• Big Data Handling
• New Image Analysis Approaches
• Product Validation
• Operational Applications and Services
• Recent Trends in UAV Remote Sensing
Accepted papers will be published in the ECRS-2 proceedings at no-cost, while full-versions of selected papers will be considered for publication in the Remote Sensing journal (http://www.mdpi.com/journal/remotesensing) at a discounted fee (20% off the APC).
We hope that remote sensing experts from all over the world will share our enthusiasm and benefit from participation at this second ECRS!
25–27 May 2018 Semantics in the Deep: Semantic Analytics for Big Data - Workshop at the 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018)
Therefore, the aim of Semantics in the Deep: Semantic Analytics for Big Data workshop is to bring together researchers and practitioners to look deeper into how Semantic Web technologies can contribute towards Big Data analytics. This can be achieved either by extracting value out of these data (through reasoning), creating sustainable ontology models, offering a solid foundation for deploying learning techniques or anything in between.
6 June 2018 2nd Workshop on Curative Power of MEdical DAta (MEDA 2018)
Fort Worth, Texas, USA
Diana Trandabăț ("Alexandru Ioan Cuza" University of Iași, Romania)
Daniela Gîfu ("Alexandru Ioan Cuza" University of Iași, Romania Romanian Academy - Iaşi branch)
Kevin Cohen (Computational Bioscience Program U. Colorado School of Medicine)
Jingbo Xia (Huazhong Agricultural University, P.R. China)
In an era when massive amounts of medical data became available, researchers working in biological, biomedical and clinical domains have increasingly started to require the help of language engineers to process large quantities of biomedical and molecular biology literature (such as PubMed), patient data or health records. Linking the contents of these documents to each other, as well as to specialized ontologies, could enable access to and discovery of structured clinical information and foster a major leap in natural language processing and health research.
MEDA-2018 aims to gather innovative approaches for the exploitation of biomedical data using semantic web technologies and linked data by bringing together practitioners, researchers, and scholars to share examples, use cases, theories and analysis of biomedical data. The main objective of this second edition workshop is to consolidate an internationally appreciated forum for scientific research in BioMed, with emphasis on crowdsourcing, semantic web, knowledge integration and data linking.
The scientific program of MEDA-2018 will focus around the following topics:
Crowdsourcing approaches in biomedicine
Collaborative computational technologies for biomedical research
Biomedical digital libraries
Mining biomedical literature
Event-based text mining for biology and related fields
Event and entity extraction in medical texts
Conceptual graphs extracted from medical texts
Annotation of semantic content, with applications in medicine and biology
Techniques for Big Data in Healthcare
Medical search engines
Distributed communication system in biomedical applications
Deep learning for bioinformatics
Biomedical topic modeling
Biomedical language systems
Text summarization in the biomedical domain.
17–19 July 2018 FOSS4G-EUROPE 2018
The FOSS4G-Europe Conference will be held in Guimarães, Portugal, from July 17 to 19th, 2018. Two days for workshops are scheduled. On 16th, just before the conference and on 20th, after the conference. We also support a code sprint for two days, 20 and 21th of July.
The Conference aims to bring together the European FOSS4G community. It is not an academic neither a business event. It is a community event, to support face to face meetings and discussions, to foster interactions, to share knowledge and passion.
The Conference is organized by Portugal OSGeo Chapter, on behalf of the Europe OSGeo Chapter.
The conference tagline is ‘Remembering how we started’. We have done so much in the last few years! We establish strong and healthy communities, and we are building great tools and de facto standards using the most up-to-date technology. For newbies, the jargon we use can be scary. But we need to keep all communities and projects open to newbies to guarantee long-term viability and to keep on the cutting-edge of technology. Let’s add another F in FOSS4G meaning Free and Friendly for first timers: FFOSS4G!
Under this slogan, we invite individuals (and tribes) to share their stories and prepare activities for FOSS4G newbies. We also would like to have stories about how companies and local administrations started to contribute to FOSS4G, Track topics include, but are not restricted to:.
FOSS4G business models and case studies
Spatial Data Infrastructures
FOSS4G in the local or central administration
21–25 August 2018 IEEE Second International Conferеnce Data Stream Mining & Processing
Hybrid Systems of Computational Intelligence
Information processing systems which combine different approaches of Computational Intelligence, for example, artificial neural networks which are learnt by evolutionary algorithms, neuro-fuzzy systems, wavelet-neuro-fuzzy systems, neuro-neo-fuzzy systems, particle swarm algorithms, evolving systems, deep learning etc.
Machine Vision and Pattern Recognition
Video Streams that are fed from video cameras in an online mode under environment uncertainty and variability conditions.
Dynamic Data Mining & Data Stream Mining
Data Mining problems (classification, clustering, prediction, identification etc.) when information is fed in an online mode in the form of data streams.
Big Data & Data Science Using Intelligent Approaches
Systems of Computational Intelligence (artificial neural networks, fuzzy reasoning systems, evolutionary algorithms) in the tasks of Big Data processing (high-dimensional data) where data are stored in VLDB or fed in an unlimited data stream. Natural Language Processing - machine learning using to get the semantic objects from natural language; the deep learning methods for natural language understanding
This event to share resources and ideas with all scientific associations and R&D departments of tech companies & firms.
3–7 September 2018 4th International Summer School on Big Data Analysis in Earth Sciences (EarthBiAs2018)
Rhodes Island, Greece
EarthBiAs2018 is organized by the Department of Environment and the
Department of Information and Communication Systems Engineering of the
University of the Aegean, in collaboration with Global Network for
Environmental Science and Technology (GNEST). It is an international
Summer School on Big Data Analysis in Earth Sciences and will be held
in Rhodes from 3rd to 7th September 2018.
This is the 4th year the EarthBiAs Summer School is running and
following the successful events in previous years, the programme covers
a wide range of topics including Machine Learning, Data Science and Deep
Learning using Big Data technologies. Courses are offered for
participants with a background in mathematics, statistics, data science,
software engineering, environmental modelling etc. All lectures are
lab-based, presented by academics and industry professionals with deep
experience in Big Data and Artificial Intelligence systems. The last day
of the Summer-School, a hackathon event will be organized. In this
challenge, participants and lecturers will be split into teams to
prototype the solution of an analytical problem.
The topics covered by the Summer School are:
Big Data frameworks (Spark, TensorFlow)
Machine Learning on environmental data
Data management and feature engineering using R and Python
Deep Learning models on environmental time series data.
Please visit the EarthBiAs2018 website for completing the application form:
10–14 September 2018 ImageCLEF 2018
For the 2018 edition, ImageCLEF organises 3 main tasks with a global objective of benchmarking lifelogging summarization and retrieval, bio-medical image concept detection and caption prediction and tuberculosis severity score prediction from CT images; and a pilot task on medical visual question answering.
Target communities of the tasks involve (but are not limited to): information retrieval (text, vision, audio, multimedia, social media, sensor data), machine learning (including deep learning), data mining, natural language processing, image/video processing, remote sensing, with special attention to the challenges of multi-modality, multi-linguality, and interactive search.
14 September 2018 Workshop on Chemical Information
EPFL, Lausanne, Switzerland
We are pleased to invite you to our "Lausanne Workshop on Chemical Information". The goal of this workshop is to put together people interested in Chemical Information in order to share ideas and future perspectives in this field. We hope that leaving this workshop everybody will have learn something and will be in hurry to implement or develop new ideas that hopefully will be presented in the future.
Peter Ertl (Novartis, Basel)
Thomas Mueller (Novartis, Basel)
Thomas Sander (Actelion, Basel)
Christian Rufener (Actelion, Basel)
Igor Tetko (Institute for Bioinformatics, Germany)
Reiner Dieden (Belgium)
Damiano Banfi (EPFL, Lausanne)
Luc Patiny (EPFL, Lausanne)
10–11 April 2017 Plant Genomics and Gene Editing Congress: Asia