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09/06/2023
Universal Preprocessing Operators for Embedding Knowledge Graphs with Literals
Knowledge graph embeddings are dense numerical representations of entiti...
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09/01/2023
NeMig – A Bilingual News Collection and Knowledge Graph about Migration
News recommendation plays a critical role in shaping the public's worldv...
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08/21/2023
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
In recent years, countless research papers have addressed the topics of ...
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08/07/2023
Biomedical Knowledge Graph Embeddings with Negative Statements
A knowledge graph is a powerful representation of real-world entities an...
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07/29/2023
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
Recent neural news recommenders (NNR) extend content-based recommendatio...
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06/06/2023
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
Knowledge graph embedding models (KGEMs) have gained considerable tracti...
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05/04/2023
ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics
Many machine learning (ML) libraries are accessible online for ML practi...
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04/06/2023
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives
The advent of personalized news recommendation has given rise to increas...
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03/27/2023
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG
In line with the general trend in artificial intelligence research to cr...
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03/08/2023
NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker
Entity Linking (EL) is the task of detecting mentions of entities in tex...
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10/06/2022
DBkWik++ – Multi Source Matching of Knowledge Graphs
Large knowledge graphs like DBpedia and YAGO are always based on the sam...
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10/04/2022
Transformer-based Subject Entity Detection in Wikipedia Listings
In tasks like question answering or text summarisation, it is essential ...
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09/15/2022
Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching
The number of Knowledge Graphs (KGs) generated with automatic and manual...
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07/28/2022
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
The entity type information in Knowledge Graphs (KGs) such as DBpedia, F...
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07/20/2022
On a Generalized Framework for Time-Aware Knowledge Graphs
Knowledge graphs have emerged as an effective tool for managing and stan...
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07/13/2022
The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings
Knowledge graph embedding is a representation learning technique that pr...
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04/29/2022
KERMIT – A Transformer-Based Approach for Knowledge Graph Matching
One of the strongest signals for automated matching of knowledge graphs ...
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04/28/2022
Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph
Medical diagnosis is the process of making a prediction of the disease a...
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04/08/2022
Ontology Matching Through Absolute Orientation of Embedding Spaces
Ontology matching is a core task when creating interoperable and linked ...
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04/05/2022
Walk this Way! Entity Walks and Property Walks for RDF2vec
RDF2vec is a knowledge graph embedding mechanism which first extracts se...
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03/11/2022
Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
News recommender systems are used by online news providers to alleviate ...
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11/03/2021
Order Matters: Matching Multiple Knowledge Graphs
Knowledge graphs (KGs) provide information in machine interpretable form...
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10/11/2021
The CaLiGraph Ontology as a Challenge for OWL Reasoners
CaLiGraph is a large-scale cross-domain knowledge graph generated from W...
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09/15/2021
Matching with Transformers in MELT
One of the strongest signals for automated matching of ontologies and kn...
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08/11/2021
Putting RDF2vec in Order
The RDF2vec method for creating node embeddings on knowledge graphs is b...
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07/05/2021
Winning at Any Cost – Infringing the Cartel Prohibition With Reinforcement Learning
Pricing decisions are increasingly made by AI. Thanks to their ability t...
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07/02/2021
On-Demand and Lightweight Knowledge Graph Generation – a Demonstration with DBpedia
Modern large-scale knowledge graphs, such as DBpedia, are datasets which...
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06/29/2021
Background Knowledge in Schema Matching: Strategy vs. Data
The use of external background knowledge can be beneficial for the task ...
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06/23/2021
GraphConfRec: A Graph Neural Network-Based Conference Recommender System
In today's academic publishing model, especially in Computer Science, co...
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05/04/2021
Large-scale Taxonomy Induction Using Entity and Word Embeddings
Taxonomies are an important ingredient of knowledge organization, and se...
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05/03/2021
Bias in Knowledge Graphs – an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia
Public knowledge graphs such as DBpedia and Wikidata have been recognize...
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03/02/2021
FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs
This paper presents the FinMatcher system and its results for the FinSim...
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02/10/2021
Information Extraction From Co-Occurring Similar Entities
Knowledge about entities and their interrelations is a crucial factor of...
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12/22/2020
Knowledge Graphs Evolution and Preservation – A Technical Report from ISWS 2019
One of the grand challenges discussed during the Dagstuhl Seminar "Knowl...
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09/20/2020
Supervised Ontology and Instance Matching with MELT
In this paper, we present MELT-ML, a machine learning extension to the M...
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09/16/2020
RDF2Vec Light – A Lightweight Approach for Knowledge Graph Embeddings
Knowledge graph embedding approaches represent nodes and edges of graphs...
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09/09/2020
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
As KGs are symbolic constructs, specialized techniques have to be applie...
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09/01/2020
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
RDF2vec is an embedding technique for representing knowledge graph entit...
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08/12/2020
A Knowledge Graph for Assessing Aggressive Tax Planning Strategies
The taxation of multi-national companies is a complex field, since it is...
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04/27/2020
Visual Analysis of Ontology Matching Results with the MELT Dashboard
In this demo, we introduce MELT Dashboard, an interactive Web user inter...
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04/09/2020
Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings
RDF2vec is a technique for creating vector space embeddings from an RDF ...
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03/11/2020
Entity Extraction from Wikipedia List Pages
When it comes to factual knowledge about a wide range of domains, Wikipe...
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03/09/2020
KGvec2go – Knowledge Graph Embeddings as a Service
In this paper, we present KGvec2go, a Web API for accessing and consumin...
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03/02/2020
Knowledge Graphs on the Web – an Overview
Knowledge Graphs are an emerging form of knowledge representation. While...
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02/24/2020
The Knowledge Graph Track at OAEI – Gold Standards, Baselines, and the Golden Hammer Bias
The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluat...
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06/28/2019
Uncovering the Semantics of Wikipedia Categories
The Wikipedia category graph serves as the taxonomic backbone for large-...
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03/04/2018