Skip to main contentdfsdf

Neil Movold's List: Big Data / Linked Data

  • Apr 24, 15

    "As with many buzz terms that float around the Web, the exact definition of "Dark Data" can be hard to nail down. According to Gartner, which originally coined the term, dark data is defined as, "the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes.""

    • As with many buzz terms that float around the Web, the exact definition of "Dark Data" can be hard to nail down. According to Gartner, which originally coined the term, dark data is defined as, "the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes."
    • There are many issues associated with dark data that can become more prevalent as time goes by. If you think of dark data as the clutter that is amassed inside the house of a hoarder, the first problem becomes obvious: Space.

    2 more annotations...

  • Aug 21, 14

    "Presentation by Design for Context's Duane Degler and Neal Johnson, at the LODLAM Training Day at the 2014 Semantic Business and Technology Conference in San Jose, CA, on August 19, 2014.

    With the rapid evolution of a semantic web, it is no surprise that many cultural institutions, large and small, are exploring Linked Open Data (LOD) as a means of connecting distributed data across the Web and across internal repositories. Libraries, Archives, and Museums (LAMs) around the world are busy making plans to publish linked data associated with the cultural heritage artifacts and information resources that they hold in the public trust. This imperative is built into the mission statements of LAMs. They are built to share!

    In this session delivered at the LODLAM Training Day at the Semantic Technology and Business Conference, we encourage participants to discuss what applications and user interfaces are valuable for cultural institutions to serve the needs of your external and internal users."

  • Mar 12, 14

    "his slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value."

  • Sep 22, 13

    "The Course Hero API is a RESTful API that allows an application to access Course Hero's online features and data.

    To help you get started, we also provide copy and paste libraries for common platforms."

  • Sep 22, 13

    "All you need is data and a question.
    Our data scientists will provide the answer."

  • Jul 01, 13

    "Amit Sheth, "Transforming Big Data into Smart Data: Deriving Value via harnessing Volume, Variety and Velocity using semantics and Semantic Web," keynote at the 21st Italian Symposium on Advanced Database Systems,
    June 30 - July 03 2013, Roccella Jonica, Italy. Also invited talks given in Universities in Spain and Italy in June 2013.

    Highlight: How to harness Smart Data that is actionable, from the Voluminous Big Data with Velocity and Variety-- using Semantics and the Semantic Web core to bring Human-Centric Computing in practice.

    Abstract from: http://www.sebd2013.unirc.it/invitedSpeakers.html

    Big Data has captured much interest in research and industry, with anticipation of better decisions, efficient organizations, and many new jobs. Much of the emphasis is on technology that handles volume, including storage and computational techniques to support analysis (Hadoop, NoSQL, MapReduce, etc), and the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity. However, the most important feature of data, the raison d'etre, is neither volume, variety, velocity, nor veracity -- but value. In this talk, I will emphasize the significance of Smart Data, and discuss how it is can be realized by extracting value from Big Data. To accomplish this task requires organized ways to harness and overcome the original four V-challenges; and while the technologies currently touted may provide some necessary infrastructure-- they are far from sufficient. In particular, we will need to utilize metadata, employ semantics and intelligent processing, and leverage some of the extensive work that predates Big Data. For Volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration, and discuss how this can not simply be wished away using NoSQL. Lastly, for Velocity, I will discuss somewhat more recent work on Continuous Semantics , which seeks to use dynamically created models of new objects, concepts, and relationships and uses them to better understand new cues in the data that capture rapidly evolving events and situations.

    Additional background at: http://knoesis.org/vision > SmartData and "Semantics-empowered Approaches to Big Data Processing for Physical-Cyber-Social Applications," http://www.knoesis.org/library/resource.php?id=1889 ."

  • Mar 18, 13

    "The Big Data marketing campaign distracts us from our greatest opportunities involving data. As we chase the latest Big Data technologies to increase volume, velocity, and variety (the 3 V’s), we will never resolve the fundamental roadblocks that have been plaguing us all along. I’ve written a great deal over the last few years about the fundamental skills of data sensemaking and communication that are needed to evolve from the Data Age in which we live to the Information Age of our dreams. It is essential that we develop these basic skills, but we must face many other concerns and resolve them as well before collecting more data faster and in greater variety will matter. "

  • Mar 18, 13

    "This is how we began a presentation today on Big Data. I had the pleasure of presenting with Maura R. Grossman, Counsel at Wachtell Lipton, Rosen & Katz, and Chad C. Ergun, Director, Global Practice Services & Business Intelligence, Gibson, Dunn & Crutcher."

  • Mar 13, 13

    "This presentation covers best practices from studying the 100 most social Big Data companies, including Aerospike, Couchbase, Cloudera, HortonWorks, SAP, SAS, Splunk, and many others."

  • Mar 12, 13

    "“As early as you can, engage with real customers, even if your product totally sucks. What I see, especially in this space, it tends to draw brainy people but [it's] not necessarily the most people-oriented, so entrepreneurs develop something cool that not that many people want. But had they engaged with these uncomfortable discussions with customers early on and were open to sharing what they had built early on, and then incorporated their feedback into the product roadmap. It’s where a tech founder also has to be a product manager. Customer engagement as early as possible is the single biggest piece of advice. And have a co-founder. It’s unbelievably difficult to build a company, even in early days, on your own, where you don’t have a foil to get you outside of your head.”"

    • “As early as you can, engage with real customers, even if your product totally sucks. What I see, especially in this space, it tends to draw brainy people but [it's] not necessarily the most people-oriented, so entrepreneurs develop something cool that not that many people want. But had they engaged with these uncomfortable discussions with customers early on and were open to sharing what they had built early on, and then incorporated their feedback into the product roadmap. It’s where a tech founder also has to be a product manager. Customer engagement as early as possible is the single biggest piece of advice. And have a co-founder. It’s unbelievably difficult to build a company, even in early days, on your own, where you don’t have a foil to get you outside of your head.”
  • Mar 11, 13

    ""Big Data" is a term as ubiquitous as data itself, but it is more than just a way to describe the massive amount of information created every day. In fact, I would argue that it is more of a dynamic than a one-dimensional term.

    In this presentation, I walk business audiences through the history and rise of big data, the four Vs of big Data, and end by looking at some practical applications and recommendations.

    Originally presented on February 26, 2013 in Washington, DC at the US Chamber of Commerce."

  • Jan 31, 13

    "Many of us see open data as a potent tool to enhance and improve citizen empowerment and participation. The idea is not just that government data is brought to citizens in a more meaningful way. Many also hope for a rich ecosystem of open data sources and developers yielding amazing apps that provide society with novel insights.
    Based on Zarino Zappia’s initial work and data collection, he and I haven taken a sharp look at this emerging network of open data sources and app developers. Data for developers of 175 open data apps were collected, including what data sets they had used. We then mapped the flow of information from initial data sources through the applications that developers had created to end-users."

  • Jan 31, 13

    "This page is designed to list Open Archives that provide metadata mostly from Open Access repositories, journals, databases or other services that provide access to the full-text of their contents, and Open Data sources that might be useful to add to a VuFind instance. Feel free to add new sources as you find them."

  • Jan 31, 13

    Common Crawl Foundation is a California 501(c)3 registered non-profit founded by Gil Elbaz with the goal of democratizing access to web information by producing and maintaining an open repository of web crawl data that is universally accessible and analyzable.
    As the largest and most diverse collection of information in human history, the web grants us tremendous insight if we can only understand it better. For example, web crawl data can be used to spot trends and identify patterns in politics, economics, health, popular culture and many other aspects of life.  It provides an immensely rich corpus for scientific research, technological advancement, and innovative new businesses.  It is crucial for our information-based society that the web be openly accessible to anyone who desires to utilize it.
    We strive to be transparent in all of our operations and we support nofollow and robots.txt. For more information about the ccBot, please see FAQ. For more information on Common Crawl data and how to access it, please see Data. For access to our open source code, please see our GitHub repository.

  • Jan 31, 13

    "This site is the Department for Communities and Local Government's first step towards more open, accessible and re-usable data.

    It provides a selection of statistics on Local Government finance, housing and homelessness, wellbeing, deprivation, and the department's business plan as well as supporting geographical data.

    All of the data is available as fully browsable and queryable Linked Data, and is free to re-use under the Open Government Licence."

1 - 20 of 36 Next ›
20 items/page
List Comments (0)