Library to process dumps of knowledge graphs (Wikipedia, DBpedia, Wikidata)
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Updated
May 11, 2024 - Python
Library to process dumps of knowledge graphs (Wikipedia, DBpedia, Wikidata)
📚 Code for my master's thesis "Investigating Knowledge Injection Approaches for Research Field Classification of Scholarly Articles".
creates a docker image with Virtuoso preloaded with the latest DBpedia dataset
Forecasting Private Capital Market using published research and patents. Project developed at Michigan State University under the guidance of Dr. Mohammed Ghassemi for JP Morgan Chase.
Video game wiki based on semantic web and DBpedia data
Wikipedia for Yomitan/Yomichan
📦 The Knowledge Box - A data dependency management framework to help users to publish, find and install data models
ALBERT and DistilBERT classification models for the DBpedia ontology dataset.
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
Collection of Data Queries in SPARQL and SQL
Bachelor Thesis - Enriched Digital Diary - Android App
Collect data on Vietnam's history in Wikipedia and DBPedia.
Query Generation for Question Answering over Knowledge Bases
A Large Semantic Knowledge Graph from Wikipedia Categories and Listings
Linking the text to the IDs of entities from a knowledge graph. It not only produces the background knowledge of the directly mentioned entities in the text, but also the entities not mentioned in the text but closely linked to the content.
Add a description, image, and links to the dbpedia topic page so that developers can more easily learn about it.
To associate your repository with the dbpedia topic, visit your repo's landing page and select "manage topics."