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kintopp : quality   40

Ways of Forgetting: The Librarian, The Historian, and the Machine - Matthew Lincoln, PhD
The following is from my position statement contributed to Always Already Computational, an IMLS forum that will be hosted at USCB later this month. Jorge Luis Borges tells us of Funes, the Memorious: a man distinguished by his extraordinary recall. via Pocket
data  linkeddata  methodology  quality  standards 
may 2019 by kintopp
LOD Laundromat
The LOD Laundromat provides access to all Linked Open Data (LOD) in the world. It does this by crawling the LOD cloud, and converting all its contents in a standards-compliant way (gzipped N-Triples), removing all data stains such as syntax errors, duplicates, and blank nodes. via Pocket
analysis  api  data  datasets  linkeddata  metadata  quality  sparql  tools 
may 2019 by kintopp
Discuss Data
Modern information technologies allow the allocation of and unrestricted access to research data as open data. Data repositories provide the basis for debates on research results and constitute an important cornerstone in the creation of scholarly transparency. via Pocket
data  forum  metadata  quality  russia 
april 2019 by kintopp
Evaluating Data Quality in Europeana: Metrics for Multilinguality | SpringerLink
1.Albertoni, R., De Martino, M., Podesta, P.: A linkset quality metric measuring multilingual gain in SKOS thesauri. In: LDQ@ ESWC (2015)Google Scholar2.Bellini, E., Nesi, P.: Metadata quality assessment tool for open access cultural heritage institutional repositories. In: Nesi, P., Santucci, R. via Pocket
data  europe  infrastructure  metadata  metrics  paper  quality 
march 2019 by kintopp
LibreCat/Catmandu data processing toolkit
Catmandu is a command line tool to access and convert data from your digital library, research services or any other open data sets. Download data via protocols such as OAI-PMH, SRU, SPARQL and Linked Data Fragments. Convert formats such as MARC, MODS, Dublin Core and many more. via Pocket
csv  datasets  dev  metadata  quality  rdf  standards  tools 
november 2018 by kintopp
Place and Location on the Web of Linked Data | STKO Lab
Geodata or more specifically places and locations play a key role on the Web of Linked Data by serving as nexuses that interconnect different data and data sources. Geonames, for instance, is one of the most linked hubs. via Pocket
datasets  geo  linkeddata  quality  places 
november 2018 by kintopp
Fixing the Blackdot Words in the TCP corpus: a “mixed initiative” in Engineering English | Scalable Reading
This is a report on a “mixed initiative”–a term of art in computer science–that  combines old-fashioned philological elbow grease with new-fangled long short-term memory neural network processing (LSTM). via Pocket
language  quality  text 
july 2018 by kintopp
UNT Libraries Metadata Quality Interfaces - ELAG 2018 - YouTube
Presentation about the UNT Libraries' metadata editing environment and the metadata quality tools that we have been working on. Twitter: @vphillWork Blog/Journal: via Pocket
diglib  interface  metadata  quality  talk  video 
june 2018 by kintopp
The Code4Lib Journal – VIAFbot and the Integration of Library Data on Wikipedia
This article presents a case study of a project, led by Wikipedians in Residence at OCLC and the British Library, to integrate authority data from the Virtual International Authority File (VIAF) with biographical Wikipedia articles. via Pocket
authority  metadata  people  quality  reconcile  wiki 
may 2018 by kintopp
The Code4Lib Journal – Implementing a Collaborative Workflow for Metadata Analysis, Quality Improvement, and Mapping
The University of North Texas (UNT) and the Oklahoma Historical Society (OHS) are collaborating to digitize, process, and make publicly available more than one million photographs from the Oklahoma Publishing Company’s historic photo archive. via Pocket
analysis  dev  diglib  metadata  quality 
may 2018 by kintopp
The Code4Lib Journal – Metadata Analysis at the Command-Line
Over the past few years the University of North Texas Libraries’ Digital Projects Unit (DPU) has developed a set of metadata analysis tools, processes, and methodologies aimed at helping to focus limited quality control resources on the areas of the collection where they might have the most bene via Pocket
analysis  diglib  metadata  quality  tools 
may 2018 by kintopp
Data Quality and Data Cleansing of Semantic Data | SpringerLink
Acosta M, Zaveri A, Simperl E, Kontokostas D, Auer S, Lehmann J (2013) Crowdsourcing linked data quality assessment. In: Proceedings of the 12th international semantic web conference (ISWC). Lecture notes in computer science, vol 8219. via Pocket
datasets  paper  quality  renconcile  semantic 
may 2018 by kintopp
Metadata Quality Assurance Framework - Metadata Quality Assurance Framework
Thanks to Christina Harlow I had a privilege to participate in the Stanford University Library’s yearly developer unconference, LDCX 2018. I wrote a report about it in Hungarian. English version comes soon. This page displayes MARC21 structure in formatted JSON format. via Pocket
dev  metadata  quality 
may 2018 by kintopp
Extended Date Time Format (Library of Congress)
This site is maintained in the Network Development and MARC Standards Office of the Library of Congress. via Pocket
dates  quality  standards  time 
april 2018 by kintopp
The Whelming › The Big Ones
Update: After fixing an import error, and cross-matching of BNF-supplied VIAF data, 18% of BNF people are matched in Wikidata. This has been corrected in the text. My mix’n’match tool holds a lot of entries from third-party catalogs – 21,795,323 at the time of writing. via Pocket
metadata  quality  tools  wiki 
march 2018 by kintopp
1st Workshop on Quality of Open Data (QOD 2018) – BIS
The goal of this workshop is to bring together different communities working on quality of information in Wikipedia, DBpedia, Wikidata and other open knowledge bases. The workshop calls for sharing research experience and knowledge related to quality assessment in open data. via Pocket
cfp  data  diglib  open  quality  wiki  workshop 
march 2018 by kintopp
dataLegend – CLARIAH WP4 — Structured Data
Once published on datalegend, your data is directly available for query-based analysis and comparative, cross-dataset studies. You're in control of who can access your data. via Pocket
data  dev  history  linkeddata  netherlands  quality  tools 
march 2018 by kintopp
The Dacura Data Curation System | SpringerLink
1.Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S., Hitzler, P.: Quality assessment methodologies for linked open data. Semant. Web J. 7, 63–93 (2013)CrossRefGoogle Scholar2.Millard, I., Glaser, H., Salvadores, M., Shadbolt, N. via Pocket
data  paper  quality 
february 2018 by kintopp
Digital History Learning Journal – Jeff Blackadar, history student, Carleton University
As of yesterday my computer completed reprocessing of all of the issues of the Shawville Equity to extract named entities from the text. I have been able to upload all of the new data to the website except the table that relates location entities to the issues of The Equity they were published in. via Pocket
letters  metadata  quality  tools 
february 2018 by kintopp
Validating RDF Data
The book is published by Morgan & Claypool in the series Synthesis Lectures on the Semantic Web: Theory and Technology edited by Ying Ding and Paul Groth. Please, cite the book as: Copyright © 2018 by Morgan & Claypool. All rights reserved. via Pocket
books  linkeddata  metadata  quality  rdf 
january 2018 by kintopp
GitHub - codeforkjeff/conciliator: OpenRefine reconciliation services for VIAF, ORCID, and Open Library + framework for creating more.
conciliator conciliator is a growing collection of OpenRefine reconciliation services, as well as a Java framework for creating them. A reconciliation service tries to match variant text (usually names of things) to standard IDs for the entity represented by that text. via Pocket
metadata  quality  reconcile  tools 
october 2017 by kintopp
nodegoat | Blog | Formulating Ambiguity in a Database
One of the most obvious questions to start with when working with structured data in the humanities is: what is data? Miriam Posner has captured this challenge in the title of her talk on this topic: 'Humanities Data: A Necessary Contradiction'. via Pocket
datasets  dh  errors  humanities  methodology  quality 
september 2017 by kintopp - De-duplicate and find matches in your messy data is a powerful tool that learns the best way to match similar rows in your data. Using cutting-edge research in machine learning we quickly and accurately clean up your data—saving you time and money. via Pocket
datasets  metadata  quality  ml 
september 2017 by kintopp
Research Blog: Facets: An Open Source Visualization Tool for Machine Learning Training Data
Getting the best results out of a machine learning (ML) model requires that you truly understand your data. via Pocket
data  datasets  quality  tools  visualization  ml 
august 2017 by kintopp
Fetching and Parsing Data from the Web with OpenRefine | Programming Historian
OpenRefine is a powerful tool for exploring, cleaning, and transforming data. An earlier Programming Historian lesson introduced the basic functionality of Refine to efficiently discover and correct inconsistency in a data set. via Pocket
analysis  data  learn  quality  tools 
august 2017 by kintopp
Against Cleaning
Practitioners, critics, and popularizers of new methods of data-driven research treat the concept of “data cleaning” as integral to such work without remarking on the oddly domestic image the term makes—as though a corn straw broom were to be incorporated, Rube-Goldberg-like, into the design via Pocket
data  debates  metadata  quality 
july 2017 by kintopp
Home > Groups > Metadata Assessment Metadata Assessment Recently Added Items Members (28) via Pocket
bibliography  metadata  models  quality 
june 2017 by kintopp
European Commission : CORDIS : Projects & Results Service : Knowledge Complexity
One of the major terminological forces driving ICT development today is that of ‘big data. via Pocket
culture  datasets  europe  humanities  impact  infrastructure  quality 
may 2017 by kintopp
It is well known that we are rapidly moving towards a data driven world where all aspects in our everyday lives are data driven. In all domains from healthcare to retail and finance, data is collected, analysed and used to make decisions, usually utilizing machine learning techniques. via Pocket
cfp  metadata  quality 
april 2017 by kintopp
DARIAH Summer school “Bibliotheca Digitalis – Reconstitution of Early Modern Cultural Networks: From primary source to data” – HaS
This DARIAH Summer School for advanced humanities students, scholars, archivists and librarians is devoted to the reflection on the nature and the future of digital datasets in Humanities. It will be held in the City Library of Le Mans, France, 4th to 8th of July 2017. via Pocket
biography  cfp  data  france  prosopography  quality 
april 2017 by kintopp
Network science and statistical techniques for dealing with uncertainties in archaeological datasets
This markdown document provides code and detailed examples associated with the Computer Applications and Quantitative Methods in Archaeology Workshop hosted by Matt Peeples and Tom Brughmans on March 13th, 2017 in Atlanta at Georgia State University. via Pocket
metadata  networks  quality  statistics 
april 2017 by kintopp
The Code4Lib Journal – Parsing and Matching Dates in VIAF
The Virtual International Authority File (OCLC Online Computer Library Center 2013) is built from dozens of authority files with tens of millions of names in more than 150 million authority and bibliographic records expressed in multiple languages, scripts and formats. via Pocket
dates  metadata  people  quality 
april 2017 by kintopp
Data Quality Analyzer | Ataccama
A critical task for today’s businesses of every size is identifying data issues before they become business issues. via Pocket
analysis  data  quality  tools  visualization 
march 2017 by kintopp
And the quest for better metadata quality goes on: an update from the DQC - Europeana Professional
In March 2016 we announced the creation of a Europeana Data Quality Committee (DQC) to work on the various facets of data quality. The Data Quality subject is a Hydra difficult to defeat, but the Committee is definitely challenging the beast - as proven by the work accomplished over the past year. via Pocket
europe  metadata  quality 
january 2017 by kintopp
Data Quality Committee - Europeana Professional
Quality is a key priority for our whole community! The Data Quality Committee works to address key data quality issues over time. via Pocket
data  datasets  europe  quality  standards 
january 2017 by kintopp

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