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06/16/2023
RED^ FM: a Filtered and Multilingual Relation Extraction Dataset
Relation Extraction (RE) is a task that identifies relationships between...
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04/28/2023
LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals
Most real-world knowledge graphs, including Wikidata, DBpedia, and Yago ...
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03/03/2023
Learning Permutation-Invariant Embeddings for Description Logic Concepts
Concept learning deals with learning description logic concepts from a b...
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01/12/2023
Counterfactual Explanations for Concepts in ℰℒℋ
Knowledge bases are widely used for information management on the web, e...
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07/18/2022
Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings
Knowledge graph embedding research has mainly focused on learning contin...
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05/13/2022
Kronecker Decomposition for Knowledge Graph Embeddings
Knowledge graph embedding research has mainly focused on learning contin...
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12/07/2021
Semantic Answer Type and Relation Prediction Task (SMART 2021)
Each year the International Semantic Web Conference organizes a set of S...
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11/08/2021
EvoLearner: Learning Description Logics with Evolutionary Algorithms
Classifying nodes in knowledge graphs is an important task, e.g., predic...
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07/10/2021
Prediction of concept lengths for fast concept learning in description logics
Concept learning approaches based on refinement operators explore partia...
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06/29/2021
DRILL– Deep Reinforcement Learning for Refinement Operators in 𝒜ℒ𝒞
Approaches based on refinement operators have been successfully applied ...
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06/29/2021
Convolutional Hypercomplex Embeddings for Link Prediction
Knowledge graph embedding research has mainly focused on the two smalles...
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05/26/2021
Out-of-Vocabulary Entities in Link Prediction
Knowledge graph embedding techniques are key to making knowledge graphs ...
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05/07/2021
Open Data Portal Germany (OPAL) Projektergebnisse
In the Open Data Portal Germany (OPAL) project, a pipeline of the follow...
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05/03/2021
MLCheck- Property-Driven Testing of Machine Learning Models
In recent years, we observe an increasing amount of software with machin...
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04/02/2021
An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines
Finding a good query plan is key to the optimization of query runtime. T...
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03/11/2021
Knowledge Graph Question Answering using Graph-Pattern Isomorphism
Knowledge Graph Question Answering (KGQA) systems are based on machine l...
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02/25/2021
A Survey of RDF Stores SPARQL Engines for Querying Knowledge Graphs
Recent years have seen the growing adoption of non-relational data model...
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01/22/2021
A shallow neural model for relation prediction
Knowledge graph completion refers to predicting missing triples. Most ap...
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12/01/2020
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge
Each year the International Semantic Web Conference accepts a set of Sem...
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09/22/2020
Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey
The recent advancements of the Semantic Web and Linked Data have changed...
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09/16/2020
NABU - Multilingual Graph-based Neural RDF Verbalizer
The RDF-to-text task has recently gained substantial attention due to co...
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09/13/2020
Revealing Secrets in SPARQL Session Level
Based on Semantic Web technologies, knowledge graphs help users to disco...
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08/07/2020
Convolutional Complex Knowledge Graph Embeddings
In this paper, we study the problem of learning continuous vector repres...
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04/03/2020
Template-based Question Answering using Recursive Neural Networks
We propose a neural network-based approach to automatically learn and cl...
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03/04/2020
Knowledge Graphs
In this paper we provide a comprehensive introduction to knowledge graph...
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02/14/2020
Benchmarking Knowledge Graphs on the Web
The growing interest in making use of Knowledge Graphs for developing ex...
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01/21/2020
A Physical Embedding Model for Knowledge Graphs
Knowledge graph embedding methods learn continuous vector representation...
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12/17/2019
ORCA: a Benchmark for Data Web Crawlers
The number of RDF knowledge graphs available on the Web grows constantly...
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11/04/2019
A Holistic Natural Language Generation Framework for the Semantic Web
With the ever-growing generation of data for the Semantic Web comes an i...
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07/23/2019
Semantic Web for Machine Translation: Challenges and Directions
A large number of machine translation approaches have recently been deve...
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03/06/2019
topFiberM: Scalable and Efficient Boolean Matrix Factorization
Matrix Factorization has many applications such as clustering. When the ...
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02/23/2019
Augmenting Neural Machine Translation with Knowledge Graphs
While neural networks have been used extensively to make substantial pro...
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05/29/2018
Entity Linking in 40 Languages using MAG
A plethora of Entity Linking (EL) approaches has recently been developed...
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03/21/2018
Expeditious Generation of Knowledge Graph Embeddings
Knowledge Graph Embedding methods aim at representing entities and relat...
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02/22/2018
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data
The generation of natural language from Resource Description Framework (...
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02/22/2018
LIDIOMS: A Multilingual Linked Idioms Data Set
In this paper, we describe the LIDIOMS data set, a multilingual RDF repr...
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02/10/2018
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs
Graph representations of large knowledge bases may comprise billions of ...
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02/10/2018
Forget Markov Logic: Efficient Mining of Prediction Rules in Large Graphs
Graph representations of large knowledge bases may comprise billions of ...
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11/26/2017
Machine Translation Using Semantic Web Technologies: A Survey
A large number of machine translation approaches has been developed rece...
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11/03/2017
Mandolin: A Knowledge Discovery Framework for the Web of Data
Markov Logic Networks join probabilistic modeling with first-order logic...
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10/24/2017
Automatic Generation of Benchmarks for Entity Recognition and Linking
The velocity dimension of Big Data plays an increasingly important role ...
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10/24/2017
Using Multi-Label Classification for Improved Question Answering
A plethora of diverse approaches for question answering over RDF data ha...
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07/17/2017
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Entity linking has recently been the subject of a significant body of re...
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05/11/2017
ROCKER: A Refinement Operator for Key Discovery
The Linked Data principles provide a decentral approach for publishing s...
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12/01/2016
An Evaluation of Models for Runtime Approximation in Link Discovery
Time-efficient link discovery is of central importance to implement the ...
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11/06/2016
Self-Wiring Question Answering Systems
Question answering (QA) has been the subject of a resurgence over the pa...
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08/09/2016
