The document discusses Big Data Europe (BDE), a coordination and support action to address challenges around big data in Europe. It outlines two main measures BDE will implement: 1) Coordination of stakeholder engagement to understand requirements for big data infrastructure across societal challenges, and 2) Support for designing, developing, and evaluating a big data aggregator platform to meet requirements and maximize opportunities from European research. BDE will build interest groups and involve stakeholders from Horizon 2020 challenges to coordinate this work, and design a cloud-ready aggregator platform to realize the described measures.
BigDataEurope: Project Introduction @ Year #1 WorkshopsBigData_Europe
An overview of the BDE project's objective, as presented in the introduction (with some variations) in each of the 1st Year series of workshops (seven: one per societal challenge).
Workshop #1 Year Schedule available at: http://www.big-data-europe.eu/first-round-of-bigdataeurope-workshops-announced/
SC6 Workshop 1: Big data (phenomenon) challenges and requirements in official...BigData_Europe
Presentation by Fernando Reis, Eurostat, European Commission, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
Cloud for Research and Innovation - UK USA HPC workshop, Oxford, July 205Martin Hamilton
How can public cloud and technologies like Docker and OpenStack help to deliver next generation scientific computing infrastructure? My talk for the UK/USA HPC workshop in July 2015, organized by HPC-SIG (UK) and CASC (USA).
SC6 Workshop 1: What can big data do for you? BigData_Europe
Presentation by Sören Auer, Fraunhofer IAIS, Coordinator of Big Data Europe, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopBigData_Europe
Presentation by Anna Triantafillou, ATC and Vangelis Karkaletsis, NCSR ‘Demokritos’, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.yourdatastories.eu
BigDataEurope: Project Introduction @ Year #1 WorkshopsBigData_Europe
An overview of the BDE project's objective, as presented in the introduction (with some variations) in each of the 1st Year series of workshops (seven: one per societal challenge).
Workshop #1 Year Schedule available at: http://www.big-data-europe.eu/first-round-of-bigdataeurope-workshops-announced/
SC6 Workshop 1: Big data (phenomenon) challenges and requirements in official...BigData_Europe
Presentation by Fernando Reis, Eurostat, European Commission, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
Cloud for Research and Innovation - UK USA HPC workshop, Oxford, July 205Martin Hamilton
How can public cloud and technologies like Docker and OpenStack help to deliver next generation scientific computing infrastructure? My talk for the UK/USA HPC workshop in July 2015, organized by HPC-SIG (UK) and CASC (USA).
SC6 Workshop 1: What can big data do for you? BigData_Europe
Presentation by Sören Auer, Fraunhofer IAIS, Coordinator of Big Data Europe, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopBigData_Europe
Presentation by Anna Triantafillou, ATC and Vangelis Karkaletsis, NCSR ‘Demokritos’, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.yourdatastories.eu
From historical mapping to mobile 3D augmented reality, this presentation takes a look at data management developments relevant to the Environment industry.
EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...European Data Forum
Selected Talk by Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor at the European Data Forum 2014, 20 March 2014 in Athens, Greece: From Carbon to Diamonds: Business cases of data value.
Big data roadmap and cross-disciplinary community for addressing societal externalities
BYTE Community Overview
Edward Curry
Insight @ NUI Galway
BYTE Work Package 8 Leader
Energy as a Service: Blockchain & the Emerging Energy Cloud 5/23/19Mark Goldstein
I presented “Energy as a Service: Blockchain & The Emerging Energy Cloud” at ASU Law’s Governance of Emerging Technologies & Science (GETS) Conference (https://events.asucollegeoflaw.com/gets/) on May 23, 2019 in Phoenix, AZ. It details the transition from traditional one-way power grids to two-way grids to an energy cloud with emerging peer-to-peer and transitive energy markets enabled by blockchain. A newly decentralized power ecosystem with low friction brokering and transactions, accompanied by regulatory reform, will be foundational for the fourth industrial revolution and offer new solutions to industry and sustainability issues.
Hawke's Bay Open Data Conference - 2 May 2019enotsluap
Hawke's Bay Open Data Conference - 2 May 2019. Presentation on open data Policy, data available and innovative ways it is being reused. Also why the private sector could/should release data.
Supercomputing and the cloud - the next big paradigm shift?Martin Hamilton
How can cloud technologies help us to address the challenges of re-use of research data and software and reproducibility of experiments? My slides from the University of Birmingham BEARcloud launch event, October 2016
Improving Policy Coherence and Accessibility through Semantic Web Technologie...Edward Curry
The complexity, volume and diversity of government policies and regulations raises significant burden on both the complying parties and government itself. On the one hand, businesses, civil organizations and other societal entities are required to simultaneously comply with and interpret different and possibly conflicting or inconsistent regulations. On the other hand, government as a whole must ensure policy and regulatory coherence across its various policy domains. While the recent wave of open government initiatives have led to significantly more public access to these documents, features allowing cross-referencing related documents and linking to less formal documents or comments on other media more understandable and accessible to the public are not common if at all available today. As a solution to this challenge, we propose an Open Government-wide Policy and Regulation Information Space consisting of documents that are “semantically” annotated and cross-linked to other documents in the information space as well as to external resources such as interpretations, comments and blogs on the social web.
Our approach is three-fold. First, we identify the requirements for the infrastructure. Second, we eloborate a Reference Architecture identifying the various elements needed within the infrastructure. Third, we show how such infrastructure may be realised as a linked data portal where policies and regulations are published as linked open data. Finally, we present a case study involving environmental policy and regulations; discuss the potential impact of such infrastructure on coherency and accessibility of policies and regulations and concludes with challenges associated with provisioning a linked open policy and regulatory information infrastructure.
Introduction: The Big Data Europe Project at the: CMG-AE Event: Big Data: Strategien, Technologien und Nutzen
19th of May 2015, Expat Center der Wirtschaftsagentur, Vienna, Austria
See: http://www.big-data-europe.eu
Presentation of the Big Data Europe project at the EIP Water Conference 2016 ...Martin Kaltenböck
Presentation of the Big Data Europe project (http://www.big-data-europe.eu) at the EIP Water Conference 2016 in Leeuwarden, The Netherlands. Taking place on 09/02/2016 at the Wetsus Campus in Leeuwarden, the Netherlands in the course of an ICT4Water workshop.
SC4 Hangout 1: BDE-Transport Webinar Simon ScerriBigData_Europe
BigDataEurope organized its first webinar on the 21st September 10h00-11h00 (CET) to introduce the BigDataEurope project, in particular the domain of Smart, Green, and Integrated Transport.
The presentation was created and presented by Simon Scerri from the University of Bonn.
SC2 Workshop 1: Big Data Europe (BDE) - Project Overview & Food WorkshopBigData_Europe
“Lightning talk” in the Big Data Europe (BDE) workshop on “Big data for food, agriculture and forestry: opportunities and challenges” taking place on 22.9.2015 in Paris by Sören Auer (Fraunhofer IAIS, University of Bonn) - BDE project lead.
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...BigData_Europe
Presentation by Martin Kaltenböck, Semantic Web Company, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
From historical mapping to mobile 3D augmented reality, this presentation takes a look at data management developments relevant to the Environment industry.
EDF2014: Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor: From ...European Data Forum
Selected Talk by Dimitris Vassiliadis, Head of Unit, EXUS Innovation Attractor at the European Data Forum 2014, 20 March 2014 in Athens, Greece: From Carbon to Diamonds: Business cases of data value.
Big data roadmap and cross-disciplinary community for addressing societal externalities
BYTE Community Overview
Edward Curry
Insight @ NUI Galway
BYTE Work Package 8 Leader
Energy as a Service: Blockchain & the Emerging Energy Cloud 5/23/19Mark Goldstein
I presented “Energy as a Service: Blockchain & The Emerging Energy Cloud” at ASU Law’s Governance of Emerging Technologies & Science (GETS) Conference (https://events.asucollegeoflaw.com/gets/) on May 23, 2019 in Phoenix, AZ. It details the transition from traditional one-way power grids to two-way grids to an energy cloud with emerging peer-to-peer and transitive energy markets enabled by blockchain. A newly decentralized power ecosystem with low friction brokering and transactions, accompanied by regulatory reform, will be foundational for the fourth industrial revolution and offer new solutions to industry and sustainability issues.
Hawke's Bay Open Data Conference - 2 May 2019enotsluap
Hawke's Bay Open Data Conference - 2 May 2019. Presentation on open data Policy, data available and innovative ways it is being reused. Also why the private sector could/should release data.
Supercomputing and the cloud - the next big paradigm shift?Martin Hamilton
How can cloud technologies help us to address the challenges of re-use of research data and software and reproducibility of experiments? My slides from the University of Birmingham BEARcloud launch event, October 2016
Improving Policy Coherence and Accessibility through Semantic Web Technologie...Edward Curry
The complexity, volume and diversity of government policies and regulations raises significant burden on both the complying parties and government itself. On the one hand, businesses, civil organizations and other societal entities are required to simultaneously comply with and interpret different and possibly conflicting or inconsistent regulations. On the other hand, government as a whole must ensure policy and regulatory coherence across its various policy domains. While the recent wave of open government initiatives have led to significantly more public access to these documents, features allowing cross-referencing related documents and linking to less formal documents or comments on other media more understandable and accessible to the public are not common if at all available today. As a solution to this challenge, we propose an Open Government-wide Policy and Regulation Information Space consisting of documents that are “semantically” annotated and cross-linked to other documents in the information space as well as to external resources such as interpretations, comments and blogs on the social web.
Our approach is three-fold. First, we identify the requirements for the infrastructure. Second, we eloborate a Reference Architecture identifying the various elements needed within the infrastructure. Third, we show how such infrastructure may be realised as a linked data portal where policies and regulations are published as linked open data. Finally, we present a case study involving environmental policy and regulations; discuss the potential impact of such infrastructure on coherency and accessibility of policies and regulations and concludes with challenges associated with provisioning a linked open policy and regulatory information infrastructure.
Introduction: The Big Data Europe Project at the: CMG-AE Event: Big Data: Strategien, Technologien und Nutzen
19th of May 2015, Expat Center der Wirtschaftsagentur, Vienna, Austria
See: http://www.big-data-europe.eu
Presentation of the Big Data Europe project at the EIP Water Conference 2016 ...Martin Kaltenböck
Presentation of the Big Data Europe project (http://www.big-data-europe.eu) at the EIP Water Conference 2016 in Leeuwarden, The Netherlands. Taking place on 09/02/2016 at the Wetsus Campus in Leeuwarden, the Netherlands in the course of an ICT4Water workshop.
SC4 Hangout 1: BDE-Transport Webinar Simon ScerriBigData_Europe
BigDataEurope organized its first webinar on the 21st September 10h00-11h00 (CET) to introduce the BigDataEurope project, in particular the domain of Smart, Green, and Integrated Transport.
The presentation was created and presented by Simon Scerri from the University of Bonn.
SC2 Workshop 1: Big Data Europe (BDE) - Project Overview & Food WorkshopBigData_Europe
“Lightning talk” in the Big Data Europe (BDE) workshop on “Big data for food, agriculture and forestry: opportunities and challenges” taking place on 22.9.2015 in Paris by Sören Auer (Fraunhofer IAIS, University of Bonn) - BDE project lead.
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...BigData_Europe
Presentation by Martin Kaltenböck, Semantic Web Company, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
Big Data Europe at eHealth Week 2017: Linking Big Data in HealthBigData_Europe
Of the four V's of big data – Volume, Velocity, Variety and Veracity – the most challenging for the health sector is Variety. Health data comes from many sources, formats and standards – how can we bring these together to reap the benefits of big data technologies?
Big Data Europe is tackling this challenge head-on, building a big data infrastructure flexible enough to tackle all seven Societal Challenges identified by Horizon 2020. Here we demonstrate our pilot implementation of Open PHACTS, which integrates life science data for drug discovery.
12 May 2017
BDE-SC1 Webinar: OpenPHACTS Re-engineered with Big Data EuropeBigData_Europe
Watch this webinar on YouTube: https://youtu.be/MwG0yhrctDs
Slides for the latest update on our Big Data Europe pilot in Societal Challenge 1: Health, Demographic Change and Wellbeing.
Last year we successfully completed the first phase of this pilot, replicating the functionality of the Open PHACTS Discovery Platform on the BDE infrastructure. The Open PHACTS Discovery Platform brings together pharmacological data resources in an integrated, interoperable infrastructure, and has been developed to reduce barriers to drug discovery for industry, academia, and small businesses.
Learn more about the progress we’ve made, and what’s coming next.
1. General overview of the Big Data Europe project and Societal Challenges it addresses (Ronald Siebes, VU Amsterdam)
2. The Big Data Europe infrastructure, generic components that are being developed, and their flexibility for different applications (Hajira Jabeen, University of Bonn)
3. Latest details of the current state of the Open PHACTS architecture in BDE, and ongoing work (Nick Lynch, CTO, Open PHACTS Foundation)
A short introduction to GEO governance, the GEO Work Programme and the GEO community for the FOSS4G audience. Contributions on GEOGLOWS, eShape and GEOHack19 from Julia Wagemann, Valentina Balcan and Diana Mastracci.
Discover the content and approach followed for the development of the European Data Portal. this portal, released in November 2015 aims at referencing open data made available in up to 39 different European countries.
Sotiris is currently working as Research Director with the Institute of Computer Science at the Foundation for Research and Technology - Hellas, where his research interests include systems, networks, and security. He is also a member of the European Union Agency for Network and Information Security (ENISA) Permanent Stakeholders Group! During Data Science Conference, Sotiris will talk about how data sharing between private companies and research facilities may lead to monetization.
This slide deck provides an overview to WSO2 Big data platform and discuss some of its customer case studies and applications. It discuss Big Data in general, real time analytics WSO2 CEP, batch analytics WSO2 BAM, and new products like predictive analytics with WSO2 Machine Learner. For more information, please reach us though architecture@wso2.org.
How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...Semantic Web Company
Organising data, for most of us, means Excel spreadsheets and folders upon folders. Knowledge graph technology, however, organises data in ways similar to the brain – through context and relations. By connecting your data, you (and also machines) are able to gain context within your knowledge, helping you to make informed decisions based on all of the information you already have.
So, how can enterprises benefit from this and scale?
PwC Sr. Research Fellow for Emerging Tech, Alan Morrison, and Sebastian Gabler, Head of Sales of Semantic Web Company tackle the importance of Enterprise Knowledge Graphs and how these technologies scale business efficiency.
Learn about:
• Application-centric development to data-centric approaches
• How enterprise architects learn how to benefit from knowledge graphs: use cases
• Learn which use cases fit well to which type of graph, and which technologies are involved
• Understand how RDF helps with data integration.
• What is AI-assisted entity linking?
• Understand data virtualisation vs. materialisation
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
Deep Text Analytics - How to extract hidden information and aboutness from textSemantic Web Company
- Deep Text Analytics (DTA) is an application of Semantic AI
- DTA fuses methods and algorithms taken from language modeling, corpus linguistics, machine learning, knowledge representation and the semantic web result into Deep Text Analytics methods
- Main areas of use cases for DTA are Information retrieval, NLU, Question answering, and Recommender Systems
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemSemantic Web Company
Knowledge graphs and graph-based data in general are becoming increasingly important for addressing various data management challenges in industries such as financial services, life sciences, healthcare or energy.
At the core of this challenge is the comprehensive management of graph-based data, ranging from taxonomy to ontology management to the administration of comprehensive data graphs along with a defined governance framework. Various data sources are integrated and linked (semi) automatically using NLP and machine learning algorithms. Tools for securing high data quality and consistency are an integral part of such a platform.
PoolParty 7.0 can now handle a full range of enterprise data management tasks. Based on agile data integration, machine learning and text mining, or ontology-based data analysis, applications are developed that allow knowledge workers, marketers, analysts or researchers a comprehensive and in-depth view of previously unlinked data assets.
At the heart of the new release is the PoolParty GraphEditor, which complements the Taxonomy, Thesaurus, and Ontology Manager components that have been around for some time. All in all, data engineers and subject matter experts can now administrate and analyze enterprise-wide and heterogeneous data stocks with comfortable means, or link them with the help of artificial intelligence.
Unified views of business-critical information across all customer-facing processes and HR-related tasks are most relevant for decision makers.
In this talk we present a SharePoint extension that supports the automatic linking of unstructured content like Word documents with structured information from other databases, such as statistical data. As a result, decision makers have knowledge portals based on linked data at their fingertips.
While the importance of managed metadata and Term Store is clear to most SharePoint architects, the significance of a semantic layer outside of the content silos has not yet been explored systematically.
We will present a four-layered content architecture and will take a close look on some of the aspects of the semantic layer and its integration with SharePoint:
- Keeping Term Store and the semantic layer in sync
- Automatic tagging of SharePoint content
- Use of graph databases to store tags
- Entity-centric search & analytics applications
Metadata is most often stored per data source, and therefore it is meaningless outside of the silo. In this presentation, we will give a live demo of a SharePoint extension that makes use of an explicit semantic layer based on standards. This approach builds the basis to start linking data across the silos in a most agile way.
The resulting knowledge graph can start on a small scale, to develop continuously and to grow with the requirements. In this presentation we will give an example to illustrate how initially disconnected HR-related data (CVs in SharePoint; statistical data from labour market; skills and competencies taxonomies; salary spreadsheets) gets linked automatically, and is then made available through an extensive search & analytics application.
Slides based on a workshop held at SEMANTiCS 2018 in Vienna. Introduces a methodology for knowledge graph management based on Semantic Web standards, ranging from taxonomies over ontologies, mappings, graph and entity linking. Further topics covered: Semantic AI and machine learning, text mining, and semantic search.
Semantic Artificial Intelligence is the fusion of various types of AI, incl. symbolic AI, reasoning, and machine learning techniques like deep learning. At the same time, Semantic AI has a strong focus on data management and data governance. With the 'wedding' of various AI techniques new promises are made, but also fundamental approaches like 'Explainable AI (XAI)', knowledge graphs, or Linked Data are more strongly focused.
Bringing Machine Learning and Knowledge Graphs Together
Six Core Aspects of Semantic AI:
- Hybrid Approach
- Data Quality
- Data as a Service
- Structured Data Meets Text
- No Black-box
- Towards Self-optimizing Machines
The PoolParty Semantic Classifier is a component of the Semantic Suite, which makes use of machine learning in combination with Knowledge Graphs.
We discuss the potential of the fusion of machine learning, neuronal networks, and knowledge graphs based on use cases and this concrete technology offering.
We introduce the term 'Semantic AI' that refers to the combined usage of various AI methods.
Machines learn better with Semantics!
See how taxonomy management and the maintenance of knowledge graphs benefit from machine learning and corpus analysis, and how, in return, machine learning gets improved when using semantic knowledge models for further enrichment.
A quick introduction to taxonomies, and how they relate to ontologies and knowledge graph. See how they can serve as part of a semantic layer in your information architecture. Learn which use cases can be developed based on this.
PoolParty GraphSearch - The Fusion of Search, Recommendation and AnalyticsSemantic Web Company
See how Cognitive Search works when based on Semantic Knowledge Graphs.
We showcase the latest developments and new features of PoolParty GraphSearch:
- Navigate a semantic knowledge graph
- Ontology-based data access (OBDA)
- Search over various search spaces: Ontology-driven facets including hierarchies
- Sophisticated autocomplete including context information
- Custom views on entity-centric and document-centric search results
- Linked data: put various tagging services such as TRIT or PoolParty Extractor in series and benefit from comprehensive semantic enrichment
- Statistical charts to explain results from unified data repositories quickly
- Plug-in system for various recommendation and matchmaking algorithms
This talk discusses how companies can apply semantic technologies to build cognitive applications. It examines the role of semantic technologies within the larger Artificial Intelligence (AI) technology ecosystem, with the aim of raising awareness of different solution approaches.
To succeed in a digital and increasingly self-service-oriented business environment, companies can no longer rely solely on IT professionals. Solutions like the PoolParty Semantic Suite utilize domain experts and business users to shape the cognitive intelligence of knowledge-driven applications.
Cognitive solutions essentially mimic how the human brain works. The search for cognitive solutions has challenged computer scientists for more than six decades. The research has matured to the extent that it has moved out of the laboratory and is now being applied in a range of knowledge-intensive industries.
There is no such thing as a single, all-encompassing “AI technology.” Rather, the large global professional technology community and software vendors are continuously developing a broad set of methods and tools for natural language processing and advanced data analytics. They are creating a growing library of machine learning algorithms to enhance the automated learning capabilities of computer systems. These emerging technologies need to be customized or combined with complementary solutions as semantic knowledge graphs, depending on the use case.
A hybrid approach to cognitive computing, employing both the statistical and knowledge base models, will have a critical influence on the development of applications. Highly automated data processing based on sophisticated machine-learning algorithms must give end user the option to independently modify the functioning of smart applications in order to overcome the disadvantages associated with ‘black-box’ approaches.
This talk will give an overview over state-of-the-art smart applications, which are becoming a fusion of search, recommendation, and question-answer machines. We will cover specific use cases in focused knowledge domains, and we will discuss how this approach allows for AI-enabled use cases and application scenarios that are currently highly prioritized by corporate and digital business players.
In this engaging, 1-hour webinar (hosted by http://www.poolparty.biz and http://www.mekon.com), you will learn how to tailor information chunks to readers’ unique needs. We will talk about:
- Benefits and principles of granular structured content, and how to start preparing your own content for this new architecture.
- Best practices for linking structured content to standards-based taxonomies, and some pitfalls to avoid
- The underlying semantic architecture that you can work toward for a truly mature and scalable approach to linking content and data
- Key use cases that you can apply to your own organization
See how you can configure your linked data eco-system based on PoolParty's semantic middleware configurator. Benefit from Shadow Concept Extraction by making implicit knowledge visible. Combine knowledge graphs with machine learning and integrate semantics into your enterprise information systems.
Technical Deep Dive: Learn more about the most complete Semantic Middleware on the market. See how to integrate semantic services into your Enterprise Information Systems.
Taxonomies and Ontologies – The Yin and Yang of Knowledge ModellingSemantic Web Company
See how ontologies and taxonomies can play together to reach the ultimate goal, which is the cost-efficient creation and maintenance of an enterprise knowledge graph. The knowledge modelling methodology is supported by approaches taken from NLP, data science, and machine learning.
This talk addresses two questions: “How can the quality of taxonomies be defined?” and “How can it be measured?” See how quality criteria vary depending on how a taxonomy is applied, such as automatic content classification in ecommerce or a knowledge graph for data integration in enterprises. Distinguish between formal quality, structural properties, content coverage, and network topology. Investigate the advantages of standards-based and machine-processable SKOS taxonomies to be able to measure the quality of taxonomies automatically, as well as several tools and techniques for quality assessment.
Consistency is crucial to a good user experience. Designers go to great lengths to create and test consistent visual designs. The structural design of an information environment, which is of equal importance to a good user experience, is too often ignored. Blumauer presents a “four-layered content architecture” for making sense of any information environment by clearly distinguishing between the content, metadata, and semantic layers and the navigation logic. He discusses several use cases for a taxonomy-driven user experience such as personalization or dynamically created topic pages.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
BigDataEurope - Empowering Communities with Data Technologies
1. BIG DATA EUROPE
HTTP://WWW.BIG-DATA-EUROPE.EU/
Integrating Big Data, Software & Communities for Addressing
Europe’s Societal Challenges
European Data Economy Workshop,
Focus: Data Value Chain & Big Data & Open Data
15 September 2015, University of Economics Vienna
2. Semantic Web Company
(SWC)
SWC was founded 2001, head-quartered in Vienna
25 experts in linked data technologies
Product: PoolParty Semantic Suite (launched 2009)
Serving customers from all over the world
EU- & US-based consulting services
3. Semantic Web Company
(SWC)
Some of our Customers
● Credit Suisse
● Boehringer Ingelheim
● Roche
● Wolters Kluwer
● BMJ Publishing Group
● Red Bull Media House
● Canadian Broadcasting Corporation (CBC)
● Pearson
● Council of the EU
● DG Environment, EC
● Healthdirect Australia
● Ministry of Finance (Austria)
● World Bank Group
● Inter-American Development Bank (IADB)
● International Atomic Energy Agency (IAEA)
● Buildings Performance Institute Europe
(BPIE)
● Renewable Energy & Energy Efficiency P
(REEEP)
● Global Buildings Performance Network
(GBPN)
● American Physical Society
Finance / Automotive / Publisher / Health Care / Public Administration / Energy /
Education
Selected Partners
● EBCONT
● EPAM Systems
● iQuest
● PwC
● Tenforce
● OpenLink Software
● Ontotext
● MarkLogic
● Gravity Zero
● Altotech
● Wolters Kluwer
● Taxonomy Strategies
● Digirati
● Fraunhofer (IAIS)
● University of Leipzig
(INFAI)
We all have one goal in mind: Make machines smart enough so that
they can help us to find those needles in the haystack, which are
really relevant to us.
4. The Motivation – Big Data
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the
world today has been created in the last two years alone.
This data comes from everywhere: sensors used to gather climate information, posts to
social media sites, digital pictures and videos, purchase transaction records, and cell phone
GPS signals to name a few.
This data is big data. Source:
8. Big Data in Europe: Challenges,
Opportunities
Health
Climate
Energy
Transport
Food
Societies
Security
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#2: Interlink, Centralise Access, Explore
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Data
Eleme
nt
#3: Analyse, Discover, Visualize
#4: Mashup, Cross-domain Exploitation
Journalists Authorities
9. Big Data in Europe:
Obstacles
30-sept.-15
#1 Big Data “Variety“ problem
Multiple Data Sources
Required: Integration, Harmonisation
#2 Opening-up Data concerns
Loss of control, lack of tracking
Reservations about large corporations
#3 Limited Skills, Training,
Technology
Lack of Data Scientists
Lack of Generic Architectures, components
10. Big Data in Europe:
Obstacles
30-sept.-15
Extraction, Curation Quality, Linking,
Integration
Publication,
Visualization, Analysis
Extraction, Curation, Quality,
Linking, Integration, Publication,
Visualization, Analysis
Health
Transport
Security
Extraction Curation Quality Linking Integration Publication Visualization Analysis
Data Repositories Linked Open Data
Cloud
Stage 1
Stage 2
Stage 3
Food SocietiesClimate Energy
12. Rationale
Show societal value of Big Data
Lower barrrier for using big data technologies
o Required effort and resources
o Limited data science skills
Help establishing cross-
lingual/organizational/domain Data Value
Chains
30-sept.-15
14. Summary
Two clearly defined coordination and support measures:
Coordination: Engaging with a diverse range of stakeholder groups representing particularly
the Horizon 2020 societal challenges Health, Food & Agriculture, Energy, Transport, Climate,
Social Sciences and Security; Collecting requirements for the ICT infrastructure needed by data-
intensive science practitioners tackling a wide range of societal challenges; covering all aspects
of publishing and consuming semantically interoperable, large-scale data and knowledge assets;
Support: Designing, realizing and evaluating a Big Data Aggregator platform infrastructure
that meets requirements, minimises disruption to current workflows, and maximises the
opportunities to take advantage of the latest European RTD developments (incl. multilingual data
harvesting, data analytics & visualisation).
BigDataEurope will implement and apply two main instruments to successfully realize these
measures:
Build Societal Big Data Interest/Community Groups in the W3C interest group scheme &
involving a large number of stakeholders from the Horizon 2020 societal challenges as well as
technical Big Data experts;
Design, integrate and deploy a cloud-deployment-ready Big Data aggregator platform
15. Orthogonal Dimensions of Big Data
Ecosystems
Generic Big Data Enabling Technologies
Data Value Chain
Data Generation
& Acquisition
Data Analysis &
Processing
Data Storage &
Curation
Data
Visualization &
Usage
Data-driven
Services
SocietalChallenges
DomainSpecificDataAssets&Technology
Healthcare
Food Security
Energy
Intelligent Transport
Climate & Environment
Inclusive & Reflective Societies
Secure Societies
16. BDE Stakeholder Engagement Approach &
Activities
BDE Community Tools – JOIN IN NOW !
• Website: news, events, community, …
• 7 x BDE W3C Community Groups
• 7+1x Mailing Lists
• 7 x SC Workshops/Year = 21 Workshops
• Full set of communication tool-set…
Future Outlook
• BDE Aggregator Platform
• For download / internal use
• Cloud Version
• Big Data Technology Support Tools
17. Domains, Focus Areas & Data
Assets
Societal Domain Preliminary Big Data Focus area Selected Key Data assets
Life Sciences &
Health
Heterogeneous data Linking &
integration
Biomedical Semantic Indexing & QA
ACD Labs / ChemSpider, ChEBI, ChEMBL, Con-ceptWiki, DrugBank, EN-
ZYME, Gene Ontology, GO Annotation, Swis-sProt, UniProt, Wik-iPathways,
PubMed, MeSH, Disease Ontology (DO), Joint Chemical Dic-tionary
(Jochem), Bio-ASQ datasets
Food &
Agriculture
Large-scale distributed data integration
INFOODS, AQUASTAT Green Learning Network (GLN), Agricultural
Bibliography Network (ABN), AGRIS, AquaMaps, Fishbase
Energy
Real-time monitoring, stream
processing, data analytics, and
decision support
European Energy Exchange Data, smart meter measurement data,
gas/fuels/energy market/price data, consumption statistics, equipment
condition monitoring data)
Transport
Streaming sensor network & geo-
spatial data integration
GTFS data, OSM/ LinkedGeoData, MobilityMaps, Transport sensor data,
ROSATTE Road safety attributes, European Road Data Infrastructure -
EuroRoadS
Climate
Real-time monitoring, stream
processing, and data analytics.
European Grid Infrastructure (EGI), Databases hosting atmospheric data.
Several software frameworks for simulation, calibration and reconstruction.
Social Sciences
Statistical and research data linking &
integration
Federated social sciences data catalogs, statistical data from public data
portals and statistical offices (e.g. EuroStats, UNESCO, WorldBank)
Security
Real-time monitoring, stream
processing, and data analytics.
Image data analysis
Earth Observation data (e.g. Very High Resolution Satellite Imagery acquired
from commercial providers and governmental systems) and collateral data
for supporting CFSP/CSDP missions and operations, Databases hosting
atmospheric Data. Experimental and simulation data concerning dispersion
18. Work Packages & Implementation
Phases
Community
Building
M1-M12 M13-M24 M25-M36
Enabling
Technologies
Component
Integration
Uptake
Integrator
Deployment
Community
Assessment
WP3 – Big Data Generic Enabling
Technologies & Architecture
WP5 – Big Data Integrator Instances
WP7 – Dissemination & Communication
WP2 – Community Building & Requirements
WP4 – Big Data Integrator Platform
WP6 – Real-life Deployment & User Evaluation
19. Blueprint of the Data Aggregator
Platform
Batch Layer
Speed Layer
Data Storage
Real-time data &
Transactions …
Batch View
Real-time
View
messagepassing
message passing
Applications & Showcases
Real-time dashboards
Domain-specific BDE apps
Big Data Analytics
In-stream Mining
BDEPlatform&
Intelligence
Input data
Stream
Spatial
Social
Statistical
Temporal
Transaction
al
Imagery
+ Semantic Layer (Retaining Semantics using LD
Lambda Architecture
20. Announcements….
Workshop SC2 (Agriculture & Food): 22.9.2015, Paris, INFOS
Workshop SC7 (Secure Societies): 30.9.2015, Brussels, INFO
Workshop SC4 (Transport): .10.2015, Bordeaux, INFO
Workshop SC6 (Social Science): 18.11.2015, Luxembourg, INFO
21. Martin Kaltenböck, m.kaltenboeck@semantic-web.at
Semantic Web Company GmbH
Mariahilfer Strasse 70/8, A-1070 Vienna
+43-1-4021235
http://www.semantic-web.at
http://www.poolparty-software.com
http://slideshare.net/semwebcompany
http://youtube.com/semwebcompany
Your Questions please….
www.big-data-europe.eu
30-sept.-15
#BigDataEurope