This document is the first version of a set of guidelines to annotate art-historical text for a newly proposed Knowledge Extraction (KE) challenge, namely Art-KE. This version contains the guidelines to annotate art-historical texts for two tasks: 1) Sequence labelling using artistic concepts, 2) Entity resolution using Wikidata, Getty's Art and Architecture Thesaurus and Iconclass
Kutzner K, Moskvina A, Petzold K, Roßkopf C, Heid U, Knackstedt R. Reviews of Cultural Artefacts: To...
Numerous valuable historic and cultural sources - a major part of our cultural heritage - are curren...
Artistic image understanding is an interdisciplinary research field of increasing importance for the...
Entity Extraction is a fundamental task for Art-historical texts, due to their potential to enrich a...
Knowledge Extraction (KE) techniques are used to convert unstructured information present in texts t...
Abstract. The paper discusses the application of Natural Language Processing (NLP) techniques in the...
For the canon of important works of art, lots of information is available on the Internet. Different...
ArtDL is a novel painting data set for iconography classification composed of images collected from ...
A large amount of digital information available is written as text documents in the form of web page...
Cultural heritage institutions more and more provide online access to their collections. Collections...
Contextualising heterogeneous object data with regard to their geographical, temporal and iconograph...
Purpose In the last few years, the size of Linked Open Data (LOD) describing artworks, in general o...
The use of collateral text for indexing images is a promising approach for closing the `semantic gap...
Domain-specific knowledge of paintings defines a wide range of concepts for annotation and flexible ...
International audienceThe rise of digitization of cultural documents offers large-scale contents, op...
Kutzner K, Moskvina A, Petzold K, Roßkopf C, Heid U, Knackstedt R. Reviews of Cultural Artefacts: To...
Numerous valuable historic and cultural sources - a major part of our cultural heritage - are curren...
Artistic image understanding is an interdisciplinary research field of increasing importance for the...
Entity Extraction is a fundamental task for Art-historical texts, due to their potential to enrich a...
Knowledge Extraction (KE) techniques are used to convert unstructured information present in texts t...
Abstract. The paper discusses the application of Natural Language Processing (NLP) techniques in the...
For the canon of important works of art, lots of information is available on the Internet. Different...
ArtDL is a novel painting data set for iconography classification composed of images collected from ...
A large amount of digital information available is written as text documents in the form of web page...
Cultural heritage institutions more and more provide online access to their collections. Collections...
Contextualising heterogeneous object data with regard to their geographical, temporal and iconograph...
Purpose In the last few years, the size of Linked Open Data (LOD) describing artworks, in general o...
The use of collateral text for indexing images is a promising approach for closing the `semantic gap...
Domain-specific knowledge of paintings defines a wide range of concepts for annotation and flexible ...
International audienceThe rise of digitization of cultural documents offers large-scale contents, op...
Kutzner K, Moskvina A, Petzold K, Roßkopf C, Heid U, Knackstedt R. Reviews of Cultural Artefacts: To...
Numerous valuable historic and cultural sources - a major part of our cultural heritage - are curren...
Artistic image understanding is an interdisciplinary research field of increasing importance for the...