The following is technical brief to U.S. EPA's Chief Data Scientist on open data information architecture, the use of Linked Data and the EPA Linked Data Management Service. The briefing was held in February 2016 and was educational in nature.
The following brief details the use of linked data to connect various high quality data sets produced by the U.S. Environmental Protection Agency. Linked data is an open standards way to publish and consume data. Using a linked data approach and the REST API, developers, scientists, and the public can more easily find, access and re-use authoritative data published by the EPA.
US EPA Resource Conservation and Recovery Act published as Linked Open Data3 Round Stones
A presentation by 3 Round Stones to the US EPA on the new Linked Open Data Management System, including Linked Open Data on 4M facilities (from FRS), 25 years of Toxic Release Inventory (TRI), chemical substances (SRS), and Resource Conservation and Recovery Act (RCRA) content. This represents one of the largest Open Data projects published by a federal government agency using Open Source Software (OSS), Open Web Standards and government Open Data.
Cortana Analytics Workshop: Azure Data CatalogMSAdvAnalytics
Julie Strauss. This session introduces the newest services in the Cortana Analytics family. The Azure Data Catalog is an enterprise-wide metadata catalog that enables self-service data source discovery. Data Catalog is a fully managed service that stores, describes, indexes, and provides information on how to access any registered data source in your organization. This session presents an overview of the Data Catalog and how – by using it to register, enrich, discover, understand and consume data sources – you can close the gap between those seeking information and those creating it.
HDL - Towards A Harmonized Dataset Model for Open Data PortalsAhmad Assaf
The Open Data movement triggered an unprecedented amount of data published in a wide range of domains. Governments and corporations around the world are encouraged to publish, share, use and integrate Open Data. There are many areas where one can see the added value of Open Data, from transparency and self-empowerment to improving efficiency, effectiveness and decision making. This growing amount of data requires rich metadata in order to reach its full potential. This metadata enables dataset discovery, understanding, integration and maintenance. Data portals, which are considered to be datasets' access points, offer metadata represented in different and heterogenous models. In this paper, we first conduct a unique and comprehensive survey of seven metadata models: CKAN, DKAN, Public Open Data, Socrata, VoID, DCAT and Schema.org. Next, we propose a Harmonized Dataset modeL (HDL) based on this survey. We describe use cases that show the benefits of providing rich metadata to enable dataset discovery, search and spam detection
DataGraft: Data-as-a-Service for Open Datadapaasproject
Tutorial at "The Data Matters Series – Transforming Service Industry via Big Data Analytics", May 4, 2016, Cyberjaya, Malaysia
http://www.eventbrite.com/e/the-data-matters-series-transforming-service-industry-via-big-data-analytics-tickets-24617911837
The following brief details the use of linked data to connect various high quality data sets produced by the U.S. Environmental Protection Agency. Linked data is an open standards way to publish and consume data. Using a linked data approach and the REST API, developers, scientists, and the public can more easily find, access and re-use authoritative data published by the EPA.
US EPA Resource Conservation and Recovery Act published as Linked Open Data3 Round Stones
A presentation by 3 Round Stones to the US EPA on the new Linked Open Data Management System, including Linked Open Data on 4M facilities (from FRS), 25 years of Toxic Release Inventory (TRI), chemical substances (SRS), and Resource Conservation and Recovery Act (RCRA) content. This represents one of the largest Open Data projects published by a federal government agency using Open Source Software (OSS), Open Web Standards and government Open Data.
Cortana Analytics Workshop: Azure Data CatalogMSAdvAnalytics
Julie Strauss. This session introduces the newest services in the Cortana Analytics family. The Azure Data Catalog is an enterprise-wide metadata catalog that enables self-service data source discovery. Data Catalog is a fully managed service that stores, describes, indexes, and provides information on how to access any registered data source in your organization. This session presents an overview of the Data Catalog and how – by using it to register, enrich, discover, understand and consume data sources – you can close the gap between those seeking information and those creating it.
HDL - Towards A Harmonized Dataset Model for Open Data PortalsAhmad Assaf
The Open Data movement triggered an unprecedented amount of data published in a wide range of domains. Governments and corporations around the world are encouraged to publish, share, use and integrate Open Data. There are many areas where one can see the added value of Open Data, from transparency and self-empowerment to improving efficiency, effectiveness and decision making. This growing amount of data requires rich metadata in order to reach its full potential. This metadata enables dataset discovery, understanding, integration and maintenance. Data portals, which are considered to be datasets' access points, offer metadata represented in different and heterogenous models. In this paper, we first conduct a unique and comprehensive survey of seven metadata models: CKAN, DKAN, Public Open Data, Socrata, VoID, DCAT and Schema.org. Next, we propose a Harmonized Dataset modeL (HDL) based on this survey. We describe use cases that show the benefits of providing rich metadata to enable dataset discovery, search and spam detection
DataGraft: Data-as-a-Service for Open Datadapaasproject
Tutorial at "The Data Matters Series – Transforming Service Industry via Big Data Analytics", May 4, 2016, Cyberjaya, Malaysia
http://www.eventbrite.com/e/the-data-matters-series-transforming-service-industry-via-big-data-analytics-tickets-24617911837
This presentation contains a broad introduction to big data and its technologies.
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.
Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity.
Bio Data World - The promise of FAIR data lakes - The Hyve - 20191204Kees van Bochove
At the Bio Data World conference in Basel in December 2019, Kees van Bochove, Founder of The Hyve gave a talk on re-use of pharma R&D data, and what strategies could be used to realize operationalization of FAIR data at scale.
There are high expectations for Linked Government Data—the practice of publishing public sector information on the Web using Linked Data formats. This slideset reviews some of the ongoing work in the US, UK, and within W3C, as well as activities within my institute (DERI, National University of Ireland, Galway).
How Semantics Solves Big Data ChallengesDATAVERSITY
Today, organizations want both IT simplicity and innovation, but reliance on traditional databases only leads to more complexity, longer development cycles, and more silos. In fact, organizations report that the #1 impediment to big data success is having too many silos. In this webinar, we will discuss how a new database technology, semantics, solves this problem by providing a new approach to modeling data that focuses on relationships and context, making it easier for data to be understood, searched, and shared. With semantics, world-leading organizations are integrating disparate data faster and easier and building smarter applications with richer analytic capabilities—benefits that we look forward to diving into during the webinar.
Implementation of Big Data infrastructure and technology can be seen in various industries like banking, retail, insurance, healthcare, media, etc. Big Data management functions like storage, sorting, processing and analysis for such colossal volumes cannot be handled by the existing database systems or technologies. Frameworks come into picture in such scenarios. Frameworks are nothing but toolsets that offer innovative, cost-effective solutions to the problems posed by Big Data processing and helps in providing insights, incorporating metadata and aids decision making aligned to the business needs.
Search Joins with the Web - ICDT2014 Invited LectureChris Bizer
The talk will discuss the concept of Search Joins. A Search Join is a join operation which extends a local table with additional attributes based on the large corpus of structured data that is published on the Web in various formats. The challenge for Search Joins is to decide which Web tables to join with the local table in order to deliver high-quality results. Search joins are useful in various application scenarios. They allow for example a local table about cities to be extended with an attribute containing the average temperature of each city for manual inspection. They also allow tables to be extended with large sets of additional attributes as a basis for data mining, for instance to identify factors that might explain why the inhabitants of one city claim to be happier than the inhabitants of another.
In the talk, Christian Bizer will draw a theoretical framework for Search Joins and will highlight how recent developments in the context of Linked Data, RDFa and Microdata publishing, public data repositories as well as crowd-sourcing integration knowledge contribute to the feasibility of Search Joins in an increasing number of topical domains.
A brief intro on the idea of what is Big Data and it's potential. This is primarily a basic study & I have quoted the source of infographics, stats & text at the end. If I have missed any reference due to human error & you recognize another source, please mention.
From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...Edward Curry
Digital transformation is driving a new wave of large-scale datafication in every aspect of our world. Today our society creates data ecosystems where data moves among actors within complex information supply chains that can form around an organization, community, sector, or smart environment. These ecosystems of data can be exploited to transform our world and present new challenges and opportunities in the design of intelligent systems. This talk presents my recent work on using the dataspace paradigm as a best-effort approach to data management within data ecosystems. The talk explores the theoretical foundations and principles of dataspaces and details a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration of heterogeneous data sources. Finally, I share my perspectives on future dataspace research challenges, including multimedia data, data governance and the role of dataspaces to enable large-scale data sharing within Europe to power data-driven AI.
We have entered an era of Big Data. Huge information is for the most part accumulation of information sets so extensive and complex that it is exceptionally hard to handle them utilizing close by database administration devices. The principle challenges with Big databases incorporate creation, curation, stockpiling, sharing, inquiry, examination and perception. So to deal with these databases we require, "exceedingly parallel software's". As a matter of first importance, information is procured from diverse sources, for example, online networking, customary undertaking information or sensor information and so forth. Flume can be utilized to secure information from online networking, for example, twitter. At that point, this information can be composed utilizing conveyed document frameworks, for example, Hadoop File System. These record frameworks are extremely proficient when number of peruses are high when contrasted with composes.
What infrastructure is necessary for successful research data management (RDM...heila1
RDM life cycle; research data elements in the research life cycle; what is RDM infrastructure; IT infrastructure; Library infrastructure; Research Office infrastructure; Examples of 4 universities RDM service offerings
I will discuss the growth of big data and the evolution of traditional enterprise models with addition of critical building blocks to handle the intense development of data in the enterprise. According to IDC approximations the size of the digital universe in 2011 will be 1.8 zettabytes. With statistics evolution beyond Moore’s Law the average enterprise will need to manage 50 times more information by the year 2020 while cumulative IT team by only 1.5 percent. With this challenge in mind, the combination of big data models into existing enterprise infrastructures is a critical element when seeing the addition of new big data building blocks while bearing in mind the efficiency.
A Survey on Geographically Distributed Big-Data Processing using Map ReduceJAYAPRAKASH JPINFOTECH
A Survey on Geographically Distributed Big-Data Processing using Map Reduce
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataHortonworks
Hadoop is a great platform for storing and processing massive amounts of data. Elasticsearch is the ideal solution for Searching and Visualizing the same data. Join us to learn how you can leverage the full power of both platforms to maximize the value of your Big Data.
In this webinar we'll walk you through:
How Elasticsearch fits in the Modern Data Architecture.
A demo of Elasticsearch and Hortonworks Data Platform.
Best practices for combining Elasticsearch and Hortonworks Data Platform to extract maximum insights from your data.
This presentation contains a broad introduction to big data and its technologies.
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.
Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity.
Bio Data World - The promise of FAIR data lakes - The Hyve - 20191204Kees van Bochove
At the Bio Data World conference in Basel in December 2019, Kees van Bochove, Founder of The Hyve gave a talk on re-use of pharma R&D data, and what strategies could be used to realize operationalization of FAIR data at scale.
There are high expectations for Linked Government Data—the practice of publishing public sector information on the Web using Linked Data formats. This slideset reviews some of the ongoing work in the US, UK, and within W3C, as well as activities within my institute (DERI, National University of Ireland, Galway).
How Semantics Solves Big Data ChallengesDATAVERSITY
Today, organizations want both IT simplicity and innovation, but reliance on traditional databases only leads to more complexity, longer development cycles, and more silos. In fact, organizations report that the #1 impediment to big data success is having too many silos. In this webinar, we will discuss how a new database technology, semantics, solves this problem by providing a new approach to modeling data that focuses on relationships and context, making it easier for data to be understood, searched, and shared. With semantics, world-leading organizations are integrating disparate data faster and easier and building smarter applications with richer analytic capabilities—benefits that we look forward to diving into during the webinar.
Implementation of Big Data infrastructure and technology can be seen in various industries like banking, retail, insurance, healthcare, media, etc. Big Data management functions like storage, sorting, processing and analysis for such colossal volumes cannot be handled by the existing database systems or technologies. Frameworks come into picture in such scenarios. Frameworks are nothing but toolsets that offer innovative, cost-effective solutions to the problems posed by Big Data processing and helps in providing insights, incorporating metadata and aids decision making aligned to the business needs.
Search Joins with the Web - ICDT2014 Invited LectureChris Bizer
The talk will discuss the concept of Search Joins. A Search Join is a join operation which extends a local table with additional attributes based on the large corpus of structured data that is published on the Web in various formats. The challenge for Search Joins is to decide which Web tables to join with the local table in order to deliver high-quality results. Search joins are useful in various application scenarios. They allow for example a local table about cities to be extended with an attribute containing the average temperature of each city for manual inspection. They also allow tables to be extended with large sets of additional attributes as a basis for data mining, for instance to identify factors that might explain why the inhabitants of one city claim to be happier than the inhabitants of another.
In the talk, Christian Bizer will draw a theoretical framework for Search Joins and will highlight how recent developments in the context of Linked Data, RDFa and Microdata publishing, public data repositories as well as crowd-sourcing integration knowledge contribute to the feasibility of Search Joins in an increasing number of topical domains.
A brief intro on the idea of what is Big Data and it's potential. This is primarily a basic study & I have quoted the source of infographics, stats & text at the end. If I have missed any reference due to human error & you recognize another source, please mention.
From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...Edward Curry
Digital transformation is driving a new wave of large-scale datafication in every aspect of our world. Today our society creates data ecosystems where data moves among actors within complex information supply chains that can form around an organization, community, sector, or smart environment. These ecosystems of data can be exploited to transform our world and present new challenges and opportunities in the design of intelligent systems. This talk presents my recent work on using the dataspace paradigm as a best-effort approach to data management within data ecosystems. The talk explores the theoretical foundations and principles of dataspaces and details a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration of heterogeneous data sources. Finally, I share my perspectives on future dataspace research challenges, including multimedia data, data governance and the role of dataspaces to enable large-scale data sharing within Europe to power data-driven AI.
We have entered an era of Big Data. Huge information is for the most part accumulation of information sets so extensive and complex that it is exceptionally hard to handle them utilizing close by database administration devices. The principle challenges with Big databases incorporate creation, curation, stockpiling, sharing, inquiry, examination and perception. So to deal with these databases we require, "exceedingly parallel software's". As a matter of first importance, information is procured from diverse sources, for example, online networking, customary undertaking information or sensor information and so forth. Flume can be utilized to secure information from online networking, for example, twitter. At that point, this information can be composed utilizing conveyed document frameworks, for example, Hadoop File System. These record frameworks are extremely proficient when number of peruses are high when contrasted with composes.
What infrastructure is necessary for successful research data management (RDM...heila1
RDM life cycle; research data elements in the research life cycle; what is RDM infrastructure; IT infrastructure; Library infrastructure; Research Office infrastructure; Examples of 4 universities RDM service offerings
I will discuss the growth of big data and the evolution of traditional enterprise models with addition of critical building blocks to handle the intense development of data in the enterprise. According to IDC approximations the size of the digital universe in 2011 will be 1.8 zettabytes. With statistics evolution beyond Moore’s Law the average enterprise will need to manage 50 times more information by the year 2020 while cumulative IT team by only 1.5 percent. With this challenge in mind, the combination of big data models into existing enterprise infrastructures is a critical element when seeing the addition of new big data building blocks while bearing in mind the efficiency.
A Survey on Geographically Distributed Big-Data Processing using Map ReduceJAYAPRAKASH JPINFOTECH
A Survey on Geographically Distributed Big-Data Processing using Map Reduce
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataHortonworks
Hadoop is a great platform for storing and processing massive amounts of data. Elasticsearch is the ideal solution for Searching and Visualizing the same data. Join us to learn how you can leverage the full power of both platforms to maximize the value of your Big Data.
In this webinar we'll walk you through:
How Elasticsearch fits in the Modern Data Architecture.
A demo of Elasticsearch and Hortonworks Data Platform.
Best practices for combining Elasticsearch and Hortonworks Data Platform to extract maximum insights from your data.
Enabling Low-cost Open Data Publishing and ReuseMarin Dimitrov
In the space of just a few years we’ve seen the transformational power of open data; both for transparency and accountability in public data, and efficiency and innovation with businesses in private data. In its first year, institutions and individuals throughout Europe have supported public sector bodies in releasing data and numerous start-ups, developers and SMEs in reusing this data for economic benefit.
However, we are still at the beginning of the open data movement, and there is still more that can be done to make open data simpler to use and to make it available to a wider audience.
The core goal of the DaPaaS project is to provide a Data- and Platform-as-a-Service environment, where 3rd parties (such as governmental organisations, SMEs, developers and larger companies) can publish and host both data sets and data-intensive applications, which can then be accessed by end-user applications in a cross-platform manner. You can find out more about DaPaaS on the detailed about page.
Essentially, DaPaaS aims to make publishing, consumption, and reuse of open data, as well as deploying open data applications, easier and cheaper for SMEs and small public bodies which otherwise may not have sufficient technical expertise, infrastructure and resources required to do so.
see also http://www.slideshare.net/eswcsummerschool/wed-roman-tutopendatapub-38742186
presented at the 2011 SemTech
Open government data and related services/applications are quickly growing on the Web. Although most agree that the government data has great potential in solving real world problems, there are still many challenges that must be addressed. This talk will describe several representative domain applications and provide concrete examples of evolving technical challenges remaining. We will show solution paths that have proven useful and make recommendations on the corresponding Semantic Web best practices.
• Scalability. How can we handle(e.g. search and cleanse) the 3,000+ raw/tool datasets, and the additional 300,000+ geo datasets from data.gov?
• Interoperability. Multi-scale open government data came from city governments, state governments, and national governments. How can one compare the GDP of the US and China, and later link to state-level financial data? Open government data covers many domains. How can one associate open government data with domain knowledge to build a cancer prevention application?
• Provenance and quality. How should provenance be leveraged to facilitate high-quality data management interactions (e.g. reuse, mash-up and feedback) between the government and the public?
Briefing on US EPA Open Data Strategy using a Linked Data Approach3 Round Stones
An overview presented by Ms. Bernadette Hyland on 18-Nov 2014 on the US EPA Open Data strategy, focusing on the Resource Conservation & Recovery Act (RCRA) dataset to be published as linked data . This work is in support of Presidential Memorandum M13-13 - Open Data Policy and Managing Information as an Asset.
Data science technology is important for better marketing. Many companies uses data to analyze their marketing strategies and create new advertisement.
Enterprise Archiving with Apache Hadoop Featuring the 2015 Gartner Magic Quad...LindaWatson19
Read how Solix leverages the Apache Hadoop big data platform to provide low cost, bulk data storage for Enterprise Archiving. The Solix Big Data Suite provides a unified archive for both structured and unstructured data and provides an Information Lifecycle Management (ILM) continuum to reduce costs, ensure enterprise applications are operating at peak performance and manage governance, risk and compliance.
Linked Data: Opportunities for Entrepreneurs3 Round Stones
Multidisciplinary engineer and entrepreneur David Wood discusses the reasons, approaches and success stories for structured data on the World Wide Web. Linked Data is placed in context with the rest of the Web and that context is used to suggest some areas ripe for entrepreneurial innovation.
Big Data and BI Tools - BI Reporting for Bay Area Startups User GroupScott Mitchell
This presentation was presented at the July 8th 2014 user group meeting for BI Reporting for Bay Area Start Ups
Content - Creation Infocepts/DWApplications
Presented by: Scott Mitchell - DWApplications
This talk highlights the rich history and diversity within software engineering and related STEM fields. Bernadette Hyland-Wood, a serial tech entrepreneur with Australia and U.S. experience addressed an audience of high school year 11 and 12 students on STEM futures as part of International Women's week 2018. This talk was organised by ChangeMakeHer ambassadors, helping to create the next generation of female changemakers to lead and change the world. More on ChangeMakeHer Australia https://www.changemakeher.com/about-us
Empowering a healthier future: through the intersection of people, technology and science with a panel of bio-informatists and data experts. Brisbane Australia 27-Feb 2018
Software engineering specifically is about designing, writing, testing, implementing and maintaining software. In 2017 and beyond, it is about much more. Software doesn’t affect any one group of people; rather, software plays a massive role in our lives from the moment we wake up, travel to work, school or wherever we spend significant time during our lives. This talk delivered in November 2017 to high school students in Australia, aims to introduce teenagers to the wide range of opportunities in software engineering and information technology-related majors at university and careers upon graduation. #STEM #sofwareengineering #robotics #AI #GirlsCanCode
Presented by serial tech entrepreneur Bernadette Hyland to an audience of tech and design managers on building an inclusive, collaborative workplace. Bernadette Hyland began her career in Silicon Valley when 37% of computer science graduates were women. During the next two decades, the number of female engineers dropped to a low of 12% despite more women in the workplace. What happened? This talk highlights several remarkable female programming pioneers from the U.S. and Australia. This talk aims to engage the audience in a discussion on the value of diverse collaborations, the role of women and how we may be self-reflective to improve participation and collaboration in the workplace, and reduce discrimination and harassment.
A talk delivered by software engineer and serial tech founder, Ms. Bernadette Hyland to year 9-12 students in Brisbane Australia. The information session was for girls to highlight software engineering and what students can do now to prepare for a productive and satisfying career that leverages science, technology, engineering and math.
Talk delivered at YOW! Developer Conferences in Melbourne, Brisbane and Sydney Australia on 1-9 December 2016.
Abstract: Governments collect a lot of data. Data on air quality, toxic chemicals, laws and regulations, public health, and the census are intended to be widely distributed. Some data is not for public consumption. This talk focuses on open government data — the information that is meant to be made available for benefit of policy makers, researchers, scientists, industry, community organisers, journalists and members of civil society.
We’ll cover the evolution of Linked Data, which is now being used by Google, Apple, IBM Watson, federal governments worldwide, non-profits including CSIRO and OpenPHACTS, and thousands of others worldwide.
Next we’ll delve into the evolution of the U.S. Environmental Protection Agency’s Open Data service that we implemented using Linked Data and an Open Source Data Platform. Highlights include how we connected to hundreds of billions of open data facts in the world’s largest, open chemical molecules database PubChem and DBpedia.
WHO SHOULD ATTEND
Data scientists, software engineers, data analysts, DBAs, technical leaders and anyone interested in utilising linked data and open government data.
Presentation at the ESRI Health and Human Services Conference, October 2015, by GeoHealth US Corp. GeoHealth.us is an interactive web service that allows users to map their local environment to health impacts.
Bernadette Hyland speaks at Startup Queensland Visiting Entrepreneurs Program...Bernadette Hyland-Wood
Continuing with the Queensland Government’s and Brisbane Marketing’s fantastic program of bringing international entrepreneurs to Queensland to tell their stories and to mentor local founders, ilab will be hosting US entrepreneur Bernadette Hyland on Thursday Aug 6, 2015.
Bernadette has a fascinating CV – Software Engineer, Startup Founder, Open Data guru, Web innovator and W3C influencer, IoT, public health data analytics, Crowdsourcing, STEM education and is a major supporter women startup founders.
Update on the progress of two Linked Data projects, including one from US EPA and another from a Virginia based regional healthcare company using anonymized EMR and Linked Data for personalized healthcare.
Linked Data Cookbook for Government Agencies, SemTech East, Washington DC 1-D...Bernadette Hyland-Wood
Linked Data Cookbook for US Government Agencies by Bernadette Hyland, 3 Round Stones, Inc. and W3C Government Linked Data co-chair.
Presented at Semantic Technology Conference Dec 2011, Washington DC
Presentation on what's happening with Government Linked Data presented by Bernadette Hyland. Presentation delivered on 3-Nov-2011 at NASA Goddard to CENDI Federal STI Managers Group.
This is a presentation Zen style talk (ala Garr Reynolds) on the importance of publishing high quality (“5 star”)
Linked Data and why this is central to fulfilling the promise of Open Government in the 21st Century. I blogged the full story on http://3roundstones.com/2011/10/17/a-new-era-of-transparency/
Semantic Content Management framework with wiki interface for creating data-driven Web applications. This is an Open Source project based on International Data Exchange standards (W3C) and Web technologies. Learn more about Callimachus at http://callimachusproject.org.
Linked Data is an evolving set of techniques for publishing and consuming data on the Web. Learn how Linked Data can turn the Web into a distributed database and how you can participate. In this session, Bernadette Hyland takes the mystery out of Linked Data by summarizing seven steps to prepare your data sets as Linked Data and announce it so others will use it.
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
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Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
DRAFT NRW Recreation Strategy - People and Nature thriving together
3 Round Stones Briefing to U.S. EPA's Chief Data Scientist on Open Data
1. Bernadette Hyland
CEO & co-founder
11911 Freedom Drive, Suite 850
Reston,VA 20190
Tel. +1-571-331-3758
bhyland@3RoundStones.com
@BernHyland
info@3RoundStones.com
@3RoundStones
ExtendYourReach.
Linked Data for
Smarter Decisions.
Follow up information prepared for
RobinThottungal, Chief Data Scientist / Director of Analytics
US Environmental Protection Agency - Feb 26, 2016
2. Today’s reality at EPA
»Tens of thousands of sources
»Many formats - JSON, XML,
CSV, PDF, PPT, SHP, SHX, text,
binary…
»Thousands of data silos
»No single source of truth
»Varied interpretations
»Brittle interfaces - lack of
interoperability
Image Credit: Smart Data Collective
3. WideVariety of Data at EPA
3
Image Credit: MarkLogic, see http://www.marklogic.com/resources/marklogic-semantics-datasheet/
resource_download/datasheets/
4. Credit: Frederick Giasson, Data Scientist & Software Developer,
http://fgiasson.com/blog/index.php/2014/07/23/big-structures-where-the-semantic-web-meets-artificial-intelligence/
Potential at EPA …
• Findable data
• Accessible data
• Interoperable
data
• Re-usable data
• Shared context
• Data Platforms
(HDFS, NoSQL)
5. Linked Data is helping to extend & augment
EPA’s significant investment in enterprise relational technologies
How?
By leveraging NoSQL Data Platforms that rigorously adhere to
international data interoperability standards. *
* Relevant international data exchange standards are published by the
W3C, OGC, IEEE
Image Credit: MarkLogic
6. Graph databases, as a subset of NoSQL databases, are the
most efficient way to look at the relationships between data
items, patterns of relationships and interactions.
Image Credit: Cray, see http://www.cray.com/blog/graph-databases-101/
Graph Databases 101
7. Hadoop Integration
»While over 90% of the world’s data has been created in the last two
years, EPA has tremendous variety of data requires the “right tool for
the job”
»Historic data (“short, wide, complex data”) vs.
»Granular sensor & GIS data (“long skinny data”)
»Core mission-based systems with robust historic data, includes:
»Toxics Release Inventory (TRI)
»Facilities Registry (FRS)
»RCRA Handler
»EPA’s enterprise information architecture should include a data
platform that leverages Hadoop: HDFS and MapReduce, and
accommodates EPA’s robust data landscape.
»Must support modern, open source tools for application development,
visualizations, crowdsourcing, and deployment on the Web
8. 8
One option - MarkLogic
Integrates Hadoop Ecosystem &
EPA’s Robust Data Landscape
Image Credit: http://www.marklogic.com/what-is-marklogic/features/hadoop-integration/
9. EPA Robust Data Ecosystem is adaptable
using a Linked Data Approach
» Makes data integration faster and easier
» By using a global addressing scheme, HTTP URIs.
» Uses semantics to “glue” together data faster.
» Common semantic definitions link traditional relational
models.
» No more out of data documentation using standard
vocabularies.
» Robust search and discovery by leveraging the semantic graph.
» Scales to the Web!
9
10. All modern data platforms
deployed at EPA should
»Support options for data modeling - Linked Data (JSON-LD, RDF), SQL (JSON, XML)
»Native store and query of documents, blobs and structured data.
»Standards-based query interface across documents and data, e.g., Full support for
SPARQL 1.1
»Offer enterprise functionality including high availability & disaster recovery, scalability &
elasticity, ACID transactions
»Be deployable on FedRamp certified cloud provider certifying controls for security, high
availability, disaster recovery
»Scale to billions of statements, triples, etc.
»Store unstructured data across clusters like Hadoop, making it easy to move data
partitions.
11. »Much but not all of
EPA’s data is well
suited for a Linked
Data approach.
»Linked Data is based
on 20+ year old idea,
a system of linked
information systems
M A N N I N G
David Wood
Marsha Zaidman
Luke Ruth
WITH Michael Hausenblas
FOREWORD BY Tim Berners-Lee
Structured data on the Web
Linked Data
16. Linked Data
Platform is in QA
now! https://usepa.
3roundstones.net
Anticipated to
move to production
in 2016.
17. shared innovation™
Search for facilities
where we live. Unlike
many EPA Web portals,
linked data is human
AND machine readable
data. No screen
scraping is required.
Encourages re-use
(discourages data silos)
18. The EPA Linked
Data service
CONNECTS data
silos, and provides
familiar map and
table data views
19. Click to drill down
to pollution reports
that combine data
from 5 previously
unconnected data
silos.
22. Previously, only people
who employed complex
screen scraping
techniques could get at
this data. Now, EPA open
data is available using an
international data
standard, with one click!
37. Callimachus is a scalable Web application server for
publishing and consuming open data
Who uses it?
• Government, international publishers, healthcare / life sciences
What pain does Callimachus address?
• Integration of data silos where a graph approach is needed
• Rapid creation of visualizations, dashboards (mashups) & info graphics
• Less expensive solution to a data warehouse
Example apps?
• Collaborative knowledge management
• Publishing workflow
• Drug discovery / clinical trials
• Predictive Analytics
38. data interoperability & portability
Supports:
• HTML5, XHTML5, CSS3, JavaScript
• XQuery, XProc, XPath, XSLT
• SPARQL 1.1 Query, Update, Federated Query,
Service Description, Property Paths, Graph Store
HTTP Protocol
• RDF/XML, RDF/Turtle, JSON-LD, SPARQL XML,
SPARQL JSON
Callimachus is fanatical about
39. Public
Application, Script or automated client
Web Browser
SPARQL endpointREST APIResource URIs
Linked Data management system
located at a Tier 1 Cloud Provider
(FISMA compliant)
RDF Database
Registered developer
41. “Big Data Is Important, but
Open Data Is More Valuable”
As change agents, enterprise architects can help
their organizations become richer through
strategies such as open data.
David Newman, VP Research, Gartner