BibSonomy bookmarks for /tag/Metadata

DCMI: Talking About Metadata and Application Profiles

acka47 — 2026-09-04T14:42:54+02:00

https://www.dublincore.org/specifications/dctap/talking-about-metadata/

Enhancing Next Generation Data Management with Data Fabric

helened — 2026-07-30T13:38:51+02:00

Enhance next generation data management with data fabric. Discover how this technology fuels efficient data handling for modern enterprises.

The Searching Efectivenes of Social Tagging in Museum Websites

mirnazuzic — 2026-03-15T23:25:30+01:00

https://www.jstor.org/stable/pdf/jeductechsoci.15.4.126.pdf?refreqid=fastly-default%3A946abe78eede7a900a01171438914fcc&ab_segments=0%2Fbasic_search_gsv2%2Fcontrol&initiator=&acceptTC=1

What Is Genre? How Do We Talk About Fiction?: Assessing Complementary Schemas and Approaches

matija.bedic — 2026-03-15T19:52:20+01:00

Describing fiction is notoriously problematic. One aspect of this is the designation “genre” which can mean different things to different communities involved in the book trade, such as publishers/authors, readers, and information professionals. Using sources created by all three (i.e., ProQuest and New York Times Book Review, Library of Congress bibliographic records, GoodReads categories, New York Public Library catalog user-supplied content, and Amazon categories), aboutness and isness metadata are harvested for two novels. Ultimately, we find that although the vocabularies each have different purposes and intended audiences, the compilation of terms from different sources presents a coherent image of a title. Future work in knowledge organization (KO) should consider how best to harness information from multiple sources in providing library users with a more robust perspective on fiction titles.

Genre/Form Access in Library Catalogs A Survey on the Current State of LCGFT Usage

katarinamajdak — 2026-03-14T11:07:06+01:00

https://journals.ala.org/index.php/lrts/article/view/7344/10099

Faciliter la documentation des données grâce aux métadonnées dans un projet de recherche

danielle.dennie — 2026-03-09T02:45:49+01:00

Cette check-list a pour but de faciliter la documentation des données grâce aux métadonnées qui leurs sont associées. Elle détaille les étapes de la gestion des métadonnées tout au long du cycle de vie des données.

Self-archiving in Institutional Repositories: Evaluating the Quality of Metadata and Full-Text Accessibility

bokharisamira — 2025-08-06T10:03:59+02:00

https://www.bibsonomy.org/bibtex/28b4fc6700114e5a3075db607fdf68a9a

An Analysis of BERT (NLP) for Assisted Subject Indexing for Project Gutenberg.

leone_brasnic — 2025-03-24T21:33:20+01:00

Izvor (preuzeto iz LISTA-e): Cataloging & Classification Quarterly. 2022, Vol. 60 Issue 8, p807-835. 29p. Autori: By: Chou, Charlene; Chu, Tony

Computer-assisted Indexing Complements Manual Selection of Subject Terms for Metadata in Specialized Collections

ppotocki — 2025-03-23T15:24:46+01:00

https://crl.acrl.org/index.php/crl/article/view/25109/32949

LlamaFS: An Open-Source Self-Organizing File system with Llama-3

ghagerer — 2024-06-01T23:04:10+02:00

The recent release of this open-source project, LlamaFS, addresses the challenges associated with traditional file management systems, particularly in the context of overstuffed download folders, inefficient file organization, and the limitations of knowledge-based organization. These issues arise due to the manual nature of file sorting, which often leads to inconsistent structures and difficulty finding specific files. The disorganization in the file system hampers productivity and makes it challenging to locate important files quickly.

“Our Metadata, Ourselves”: The Trans Metadata Collective

lucijapiljic — 2024-03-25T13:59:37+01:00

https://asistdl.onlinelibrary.wiley.com/doi/10.1002/pra2.801

Queering (meta)data ontologies

lucijapiljic — 2024-03-25T13:53:02+01:00

https://www.researchgate.net/publication/324879937_Queering_metadata_ontologies

metadaten.community

asr — 2023-12-06T15:51:41+01:00

Discourse für metadaten Infos Austausch

ISO 15489-1:2016(en), Information and documentation — Records management — Part 1: Concepts and principles

astrupp — 2023-10-03T14:53:47+02:00

ISO 15489-1:2016(en) Information and documentation — Records management — Part 1: Concepts and principles

DCMI: Expressing Dublin Core™ metadata using HTML/XHTML meta and link elements

astrupp — 2023-09-30T16:56:46+02:00

This document describes how a Dublin Core metadata description set can be encoded in HTML/XHTML <meta> and <link> elements. It is an HTML meta data profile, as defined by the HTML specification.

The difference between RDFa’s property and rel attributes | Ctrl blog

astrupp — 2023-09-27T13:09:24+02:00

https://www.ctrl.blog/entry/rdfa-link-attributes.html

The Web Data Commons Schema.org Data Set Series | Companion Proceedings of the ACM Web Conference 2023

astrupp — 2023-09-19T15:47:46+02:00

https://dl.acm.org/doi/10.1145/3543873.3587331

ldow2012-inv-paper-1.pdf

astrupp — 2023-09-19T10:23:30+02:00

2012. Metadata Statistics for a Large Web Corpus ABSTRACT We provide an analysis of the adoption of metadata standards on the Web based a large crawl of the Web. In particular, we look at what forms of syntax and vocabularies publishers are using to mark up data inside HTML pages. We also describe the process that we have followed and the difficulties involved in web data extraction.

Meusel-etal-TheWDCMicrodataRdfaMicroformatsDataSeries-ISWC2014-rbds.pdf

astrupp — 2023-09-19T10:20:48+02:00

Abstract. In order to support web applications to understand the content of HTML pages an increasing number of websites have started to annotate structured data within their pages using markup formats such as Microdata, RDFa, Microformats. The annotations are used by Google, Yahoo!, Yandex, Bing and Facebook to enrich search results and to display entity descriptions within their applications. In this paper, we present a series of publicly accessible Microdata, RDFa, Microformats datasets that we have extracted from three large web corpora dating from 2010, 2012 and 2013.

WDC - RDFa, Microdata, and Microformat Data Sets

astrupp — 2023-09-19T10:19:48+02:00

More and more websites have started to embed structured data describing products, people, organizations, places, and events into their HTML pages using markup standards such as Microdata, JSON-LD, RDFa, and Microformats. The Web Data Commons project extracts this data from several billion web pages. So far the project provides 11 different data set releases extracted from the Common Crawls 2010 to 2022. The project provides the extracted data for download and publishes statistics about the deployment of the different formats.