@inbook{81729a9309ee41d3a22c4fdb352c7166,
title = "Classifications as Linked Open Data: Challenges and Opportunities",
abstract = "Linked Data (LD) as a web-based technology enables in principle the seamless, machine-supported integration, interplay and augmention of all kinds of knowledge, into what has been labeled a huge knowledge graph. Despite decades of web technology and, more recently, the Linked Data approach, the task to fully exploit these new technologies in the public domain is only commencing. One specific challenge is to transfer techniques developed pre-web to order our knowledge into the realm of Linked (Open) Data. This paper illustrates two different models in which a general analytico-synthetic classification can be published and made available as linked data. In both cases, a linked data solution deals with the intricacies of a pre-coordinated indexing language: the Universal Decimal Classification (UDC) and the Basic Concepts Classification (BCC).",
keywords = "Classifications, Linked Open Data",
author = "Rick Szostak and Smiraglia, {Richard P.} and Andrea Scharnhorst and Ronald Siebes and Aida Slavic and {\'A}vila, {Daniel Mart{\'i}nez} and Tobias Renwick",
year = "2020",
doi = "10.5771/9783956507762-436",
language = "English",
isbn = "978-3-95650-775-5",
series = "Advances in Knowledge Organization",
publisher = "International Society for Knowledge Organziation (ISKO)",
pages = "436--455",
editor = "Marianne Lykke and Tanja Svarre and Daniel Mart{\'i}nez-{\'A}vila",
booktitle = "Knowledge Organization at the Interface",
edition = "2020",
}