Ruben Verborgh’s data

Matches in Ruben’s data for { <https://dx.doi.org/10.1093/llc/fqt067> ?p ?o }

• fqt067 author seth_van_hooland.
• fqt067 author rik_van_de_walle.
• fqt067 author max_de_wilde.
• fqt067 author me.
• fqt067 author me.
• fqt067 creator seth_van_hooland.
• fqt067 creator rik_van_de_walle.
• fqt067 creator max_de_wilde.
• fqt067 creator me.
• fqt067 creator me.
• fqt067 about Research.
• fqt067 about Metadata.
• fqt067 about Linked_Data.
• fqt067 author seth_van_hooland.
• fqt067 author rik_van_de_walle.
• fqt067 author max_de_wilde.
• fqt067 author me.
• fqt067 author me.
• fqt067 coparticipatesWith seth_van_hooland.
• fqt067 coparticipatesWith rik_van_de_walle.
• fqt067 coparticipatesWith max_de_wilde.
• fqt067 coparticipatesWith me.
• fqt067 coparticipatesWith me.
• fqt067 type PublicationIssue.
• fqt067 type Issue.
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• fqt067 type ScholarlyArticle.
• fqt067 type Article.
• fqt067 type Document.
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• fqt067 type Q386724.
• fqt067 type CreativeWork.
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• fqt067 P50 seth_van_hooland.
• fqt067 P50 rik_van_de_walle.
• fqt067 P50 max_de_wilde.
• fqt067 P50 me.
• fqt067 P50 me.
• fqt067 maker seth_van_hooland.
• fqt067 maker rik_van_de_walle.
• fqt067 maker max_de_wilde.
• fqt067 maker me.
• fqt067 maker me.
• fqt067 title "Exploring Entity Recognition and Disambiguation for Cultural Heritage Collections".
• fqt067 isPartOf digital_scholarship_in_the_humanities.
• fqt067 name "Exploring Entity Recognition and Disambiguation for Cultural Heritage Collections".
• fqt067 label "Exploring Entity Recognition and Disambiguation for Cultural Heritage Collections".
• fqt067 name "Exploring Entity Recognition and Disambiguation for Cultural Heritage Collections".
• fqt067 topic Research.
• fqt067 topic Metadata.
• fqt067 topic Linked_Data.
• fqt067 subject Research.
• fqt067 subject Metadata.
• fqt067 subject Linked_Data.
• fqt067 authorList b0_b2879.
• fqt067 topic Research.
• fqt067 topic Metadata.
• fqt067 topic Linked_Data.
• fqt067 abstract "Unstructured metadata fields such as “description” offer tremendous value for users to understand cultural heritage objects. However, this type of narrative information is of little direct use within a machine-readable context due to its unstructured nature. This paper explores the possibilities and limitations of Named-Entity Recognition (NER) and Term Extraction (TE) to mine such unstructured metadata for meaningful concepts. These concepts can be used to leverage otherwise limited searching and browsing operations, but they can also play an important role to foster Digital Humanities research. In order to catalyze experimentation with NER and TE, the paper proposes an evaluation of the performance of three third-party entity extraction services through a comprehensive case study, based on the descriptive fields of the Smithsonian Cooper-Hewitt National Design Museum in New York. In order to cover both NER and TE, we first offer a quantitative analysis of named-entities retrieved by the services in terms of precision and recall compared to a manually annotated gold-standard corpus, then complement this approach with a more qualitative assessment of relevant terms extracted. Based on the outcomes of this double analysis, the conclusions present the added value of entity extraction services, but also indicate the dangers of uncritically using NER and/or TE, and by extension Linked Data principles, within the Digital Humanities. All metadata and tools used within the paper are freely available, making it possible for researchers and practitioners to repeat the methodology. By doing so, the paper offers a significant contribution towards understanding the value of entity recognition and disambiguation for the Digital Humanities.".
• fqt067 datePublished "2015".
• fqt067 mainEntityOfPage vanhooland_llc_2015.
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• fqt067 number "262".
• fqt067 number "279".
• fqt067 number "30".
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