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The methods and practices of Linked Open Data
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Dongpo Deng
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The slides presented in Univ. of Kaohsiung
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A public talk on data-driven smart governance
20180226 data driven smart governance
20180226 data driven smart governance
Dongpo Deng
The slides are used to presented in G20 Linked Open Data in Agriculture Workshop 2017
Construction and reuse of linked traceable agricultural product records - An ...
Construction and reuse of linked traceable agricultural product records - An ...
Dongpo Deng
Presentation to 1st Irish Open Data Meetup in EngineYard, Dublin on 25th October, 2012
Open Data - The Fingal Perspective
Open Data - The Fingal Perspective
Fingal Open Data
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
Martin Hepp
[Databeers] 06/05/2014 - Boris Villazon: “Data Integration - A Linked Data ap...
[Databeers] 06/05/2014 - Boris Villazon: “Data Integration - A Linked Data ap...
Data Beers
agINFRA – a multilingual infrastructure for information on agricultural innov...
agINFRA – a multilingual infrastructure for information on agricultural innov...
AIMS (Agricultural Information Management Standards)
Presented on October 16, 2015 at the Nebraska Library Association/Nebraska School Librarians Association conference
Life after MARC: Cataloging Tools of the Future
Life after MARC: Cataloging Tools of the Future
Emily Nimsakont
NCompass Live - January 2, 2014. http://nlc.nebraska.gov/ncompasslive/ The Bibliographic Framework Initiative, or BIBFRAME, is intended to provide a replacement to the MARC format as an encoding standard for library catalogs. Its aim is to move library data into a Linked Data format, allowing it to interact with other data on the Web. In this session, Emily Nimsakont, the NLC’s Cataloging Librarian, will cover the basics of BIBFRAME, describe what it can provide for users of library catalogs that MARC can’t, and outline what librarians should be aware of regarding this change in the cataloging landscape.
NCompass Live: Beyond MARC: BIBFRAME and the Future of Bibliographic Data
NCompass Live: Beyond MARC: BIBFRAME and the Future of Bibliographic Data
Nebraska Library Commission
Recomendados
A public talk on data-driven smart governance
20180226 data driven smart governance
20180226 data driven smart governance
Dongpo Deng
The slides are used to presented in G20 Linked Open Data in Agriculture Workshop 2017
Construction and reuse of linked traceable agricultural product records - An ...
Construction and reuse of linked traceable agricultural product records - An ...
Dongpo Deng
Presentation to 1st Irish Open Data Meetup in EngineYard, Dublin on 25th October, 2012
Open Data - The Fingal Perspective
Open Data - The Fingal Perspective
Fingal Open Data
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?
Martin Hepp
[Databeers] 06/05/2014 - Boris Villazon: “Data Integration - A Linked Data ap...
[Databeers] 06/05/2014 - Boris Villazon: “Data Integration - A Linked Data ap...
Data Beers
agINFRA – a multilingual infrastructure for information on agricultural innov...
agINFRA – a multilingual infrastructure for information on agricultural innov...
AIMS (Agricultural Information Management Standards)
Presented on October 16, 2015 at the Nebraska Library Association/Nebraska School Librarians Association conference
Life after MARC: Cataloging Tools of the Future
Life after MARC: Cataloging Tools of the Future
Emily Nimsakont
NCompass Live - January 2, 2014. http://nlc.nebraska.gov/ncompasslive/ The Bibliographic Framework Initiative, or BIBFRAME, is intended to provide a replacement to the MARC format as an encoding standard for library catalogs. Its aim is to move library data into a Linked Data format, allowing it to interact with other data on the Web. In this session, Emily Nimsakont, the NLC’s Cataloging Librarian, will cover the basics of BIBFRAME, describe what it can provide for users of library catalogs that MARC can’t, and outline what librarians should be aware of regarding this change in the cataloging landscape.
NCompass Live: Beyond MARC: BIBFRAME and the Future of Bibliographic Data
NCompass Live: Beyond MARC: BIBFRAME and the Future of Bibliographic Data
Nebraska Library Commission
Preconference workshop presented at Mountain Plains Library Association/Wyoming Library Association conference - September 23, 2015
Life after MARC: Experimenting with Cataloging Tools of the Future
Life after MARC: Experimenting with Cataloging Tools of the Future
Emily Nimsakont
Using Linked Open Data to offer innova4ve services in Agricultural sector
Agroknow and FREME presentation @Linda workshop-20-11-2015
Agroknow and FREME presentation @Linda workshop-20-11-2015
Stoitsis Giannis
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.
Search Joins with the Web - ICDT2014 Invited Lecture
Search Joins with the Web - ICDT2014 Invited Lecture
Chris Bizer
Rudi Studer von KIT
TFF2016, Rudi Studer, Smarte Dienstleistungen mit semantischen Technologien
TFF2016, Rudi Studer, Smarte Dienstleistungen mit semantischen Technologien
TourismFastForward
Presented at the Mid-America Association of Law Libraries Annual Meeting, October 14, 2016
Linked Data for Law Libraries: An Introduction
Linked Data for Law Libraries: An Introduction
Emily Nimsakont
Slides from presentation to students undertaking the MSc in Spatial Data Management at DIT Bolton St. in Ireland. Presentation given by Richard Cantwell, 10th December 2010.
Open Geodata, DIT, December 2010
Open Geodata, DIT, December 2010
Richard Cantwell
The slideset describes the Mannheim Search Join Engine and was used to present our submission to the Semantic Web Challenge 2014. More information about the Semantic Web Challenge: http://challenge.semanticweb.org/ Paper about the Mannheim Search Join Engine: http://dws.informatik.uni-mannheim.de/fileadmin/lehrstuehle/ki/pub/Lehmberg-Ritze-Ristoski-Eckert-Paulheim-Bizer-TableExtension-SemanticWebChallenge-ISWC2014-Paper.pdf Abstract: This Big Data Track submission demonstrates how the BTC 2014 dataset, Microdata annotations from thousands of websites, as well as millions of HTML tables are used to extend local tables with additional columns. Table extension is a useful operation within a wide range of application scenarios: Image you are an analyst having a local table describing companies and you want to extend this table with the headquarter of each company. Or imagine you are a film lover and want to extend a table describing films with attributes like director, genre, and release date of each film. The Mannheim SearchJoin Engine automatically performs such table extension operations based on a large data corpus gathered from over a million websites that publish structured data in various formats. Given a local table, the SearchJoin Engine searches the corpus for additional data describing the entities of the input table. The discovered data are then joined with the local table and their content is consolidated using schema matching and data fusion methods. As result, the user is presented with an extended table and given the opportunity to examine the provenance of the added data. Our experiments show that the Mannheim SearchJoin Engine achieves a coverage close to 100% and a precision of around 90% within different application scenarios.
Extending Tables with Data from over a Million Websites
Extending Tables with Data from over a Million Websites
Chris Bizer
Slides from the presentation of the following paper: Max Schmachtenberg, Christian Bizer, Heiko Paulheim: Adoption of the Linked Data Best Practices in Different Topical Domains. 13th International Semantic Web Conference (ISWC2014) - RDB Track, pp. 245-260, Riva del Garda, Italy, October 2014. Paper URL: http://dws.informatik.uni-mannheim.de/fileadmin/lehrstuehle/ki/pub/SchmachtenbergBizerPaulheim-AdoptionOfLinkedDataBestPractices.pdf Abstract: The central idea of Linked Data is that data publishers support applications in discovering and integrating data by complying to a set of best practices in the areas of linking, vocabulary usage, and metadata provision. In 2011, the State of the LOD Cloud report analyzed the adoption of these best practices by linked datasets within different topical domains. The report was based on information that was provided by the dataset publishers themselves via the datahub.io Linked Data catalog. In this paper, we revisit and update the findings of the 2011 State of the LOD Cloud report based on a crawl of the Web of Linked Data conducted in April 2014. We analyze how the adoption of the different best practices has changed and present an overview of the linkage relationships between datasets in the form of an updated LOD cloud diagram, this time not based on information from dataset providers, but on data that can actually be retrieved by a Linked Data crawler. Among others, we find that the number of linked datasets has approximately doubled between 2011 and 2014, that there is increased agreement on common vocabularies for describing certain types of entities, and that provenance and license metadata is still rarely provided by the data sources.
Adoption of the Linked Data Best Practices in Different Topical Domains
Adoption of the Linked Data Best Practices in Different Topical Domains
Chris Bizer
NCompass Live - Nov. 25, 2015. http://nlc.nebraska.gov/ncompasslive/ Are you curious about the brave new world of post-MARC cataloging? Are you wondering what this BIBFRAME, Linked Data mumbo-jumbo you keep hearing about is, anyway? Attend this session to see demonstrations of a variety of tools to see how they each do their best to answer the question of what cataloging without MARC will be like, and what they can do in terms of transforming our catalogs' legacy MARC data. Tools covered will include: RDA in Many Metadata Formats (RIMMF), BIBFRAME Editors (from the Library of Congress and Zepheira), and OpenRefine. Presenter: Emily Nimsakont, Head of Cataloging & Resource Management, Schmid Law Library, University of Nebraska College of Law.
NCompass Live: Life After MARC: Cataloging Tools of the Future
NCompass Live: Life After MARC: Cataloging Tools of the Future
Nebraska Library Commission
Presentation on Fingal Open Data & Open Government to Irish Internet Association Conference on 12th May 2011
Open Government & Fingal Open Data
Open Government & Fingal Open Data
Fingal Open Data
"First Steps in Research Data Management Under Constraints of a National Security Laboratory" Presentation at CNI Fall Meeting 2018
First Steps in Research Data Management Under Constraints of a National Secur...
First Steps in Research Data Management Under Constraints of a National Secur...
Martin Klein
Presented at the Spring Meeting of the Nebraska Library Association's Intellectual Freedom Round Table and Technical Services Round Table, Marc 6 ,2015
Promises and Pitfalls: Linked Data, Privacy, and Library Catalogs
Promises and Pitfalls: Linked Data, Privacy, and Library Catalogs
Emily Nimsakont
Central Pennsylvania Open Source Conference, October 17, 2015 Data is a hot topic in the tech sector with big data, data processing, data science, linked open data and data visualization to name only a few examples. Before data can be processed or analyzed it often has to be cleaned. OpenRefine is an open source interactive data transformation tool for working with messy data. This presentation will begin with a short overview of the features of OpenRefine. To demonstrate basic concepts of data cleaning, manipulating, faceting and filtering with OpenRefine, Pennsylvania Heritage magazine subject index data will be used as a case study.
Introduction to OpenRefine
Introduction to OpenRefine
Heather Myers
What is Linked Data, and What Does It Mean for Libraries?
What is Linked Data, and What Does It Mean for Libraries?
Emily Nimsakont
Of Cataloging & Context
Of Cataloging & Context
charper
Presented at 11th IDCC conference in Amsterdam on Feb 24, 2016.
Dataverse: Helping Researchers Publish Their Data Through Automation