Search Results for author:
Found 14 papers, 2 papers with code
OPIEC: An Open Information Extraction Corpus
In this paper, we release, describe, and analyze an OIE corpus called OPIEC, which was extracted from the text of English Wikipedia.
Open-Ended Question Answering
Open Information Extraction
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The Knowledge Graph Track at OAEI -- Gold Standards, Baselines, and the Golden Hammer Bias
The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluation of ontology matching tools.
Knowledge Graphs on the Web -- an Overview
Knowledge Graphs are an emerging form of knowledge representation.
Visual Analysis of Ontology Matching Results with the MELT Dashboard
In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT).
Supervised Ontology and Instance Matching with MELT
In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology and instance matching.
On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia
Modern large-scale knowledge graphs, such as DBpedia, are datasets which require large computational resources to serve and process.
Matching with Transformers in MELT
One of the strongest signals for automated matching of ontologies and knowledge graphs are the textual descriptions of the concepts.
Order Matters: Matching Multiple Knowledge Graphs
Knowledge graphs (KGs) provide information in machine interpretable form.
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study
First, we investigate OPIEC triples and DBpedia facts having the same arguments by comparing the information on the OIE surface relation with the KB rela- tion.
KERMIT - A Transformer-Based Approach for Knowledge Graph Matching
One of the strongest signals for automated matching of knowledge graphs and ontologies are textual concept descriptions.
Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching
The number of Knowledge Graphs (KGs) generated with automatic and manual approaches is constantly growing.
DBkWik++ -- Multi Source Matching of Knowledge Graphs
In this paper, we present the approach and analysis of DBkWik++, a fused Knowledge Graph from thousands of wikis.
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
In recent years, countless research papers have addressed the topics of knowledge graph creation, extension, or completion in order to create knowledge graphs that are larger, more correct, or more diverse.
OLaLa: Ontology Matching with Large Language Models
Ontology (and more generally: Knowledge Graph) Matching is a challenging task where information in natural language is one of the most important signals to process.
