Papers with LOD
The LODeXporter: Flexible Generation of Linked Open Data Triples from NLP Frameworks for Automatic Knowledge Base Construction (L18-1)
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| Challenge: | Linked Open Data (LOD) principles are used to export natural language processing (NLP) results to graph-based knowledge base. |
| Approach: | They propose a method for exporting NLP results to a graph-based knowledge base using Linked Open Data principles. |
| Outcome: | The proposed method is available as an open source component for the GATE framework and is available on GitHub. |
Towards a Linked Open Data Edition of Sumerian Corpora (L18-1)
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| Challenge: | Linguistic Linked Open Data (LLOD) is a flourishing line of research in the language resource community . existing LLOD standards and vocabularies are not widely used in this community despite its popularity . |
| Approach: | They propose to use Linguistic Linked Open Data to link a Sumerian corpus with lexical resources . they use a linguistically annotated archive to create a corpus of cuneiform texts . |
| Outcome: | The proposed LLOD framework is used in assyriology, with philological resources underrepresented . the proposed framework is based on a linguistically annotated corpus of Sumerian texts . |
Tag Me If You Can! Semantic Annotation of Biodiversity Metadata with the QEMP Corpus and the BiodivTagger (2020.lrec-1)
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| Challenge: | Dataset Retrieval is based on metadata, structured information about the primary data. |
| Approach: | They propose an ontology-based information extraction pipeline for biodiversity metadata that combines ontologies with semantic annotations to facilitate search. |
| Outcome: | The proposed pipeline is the first annotated metadata corpus for biodiversity research data. |
From Linguistic Linked Data to Big Data (2024.lrec-main)
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Dimitar Trajanov, Elena Apostol, Radovan Garabik, Katerina Gkirtzou, Dagmar Gromann, Chaya Liebeskind, Cosimo Palma, Michael Rosner, Alexia Sampri, Gilles Sérasset, Blerina Spahiu, Ciprian-Octavian Truică, Giedre Valunaite Oleskeviciene
| Challenge: | Language data on the LOD cloud has grown in number, size, and variety . Linked (Open) Data (LLOD) is a standardized way of representing and sharing linguistic datasets . |
| Approach: | They propose to combine LLOD and Big Data to improve interoperability of linguistic datasets . they propose to use a machine-readable format to represent and share linguistic data . |
| Outcome: | This paper examines the use cases of Linked (Open) Data and Big Data in language data. |