Axel-Cyrille Ngonga Ngomo

research

∙ 06/16/2023

RED^ FM: a Filtered and Multilingual Relation Extraction Dataset

Relation Extraction (RE) is a task that identifies relationships between...

0 Pere-Lluís Huguet Cabot, et al. ∙

research

∙ 04/28/2023

LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals

Most real-world knowledge graphs, including Wikidata, DBpedia, and Yago ...

0 Caglar Demir, et al. ∙

research

∙ 03/03/2023

Learning Permutation-Invariant Embeddings for Description Logic Concepts

Concept learning deals with learning description logic concepts from a b...

0 Caglar Demir, et al. ∙

research

∙ 01/12/2023

Counterfactual Explanations for Concepts in ℰℒℋ

Knowledge bases are widely used for information management on the web, e...

0 Leonie Nora Sieger, et al. ∙

research

∙ 07/18/2022

Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings

Knowledge graph embedding research has mainly focused on learning contin...

0 Caglar Demir, et al. ∙

research

∙ 05/13/2022

Kronecker Decomposition for Knowledge Graph Embeddings

Knowledge graph embedding research has mainly focused on learning contin...

23 Caglar Demir, et al. ∙

research

∙ 12/07/2021

Semantic Answer Type and Relation Prediction Task (SMART 2021)

Each year the International Semantic Web Conference organizes a set of S...

0 Nandana Mihindukulasooriya, et al. ∙

research

∙ 11/08/2021

EvoLearner: Learning Description Logics with Evolutionary Algorithms

Classifying nodes in knowledge graphs is an important task, e.g., predic...

0 Stefan Heindorf, et al. ∙

research

∙ 07/10/2021

Prediction of concept lengths for fast concept learning in description logics

Concept learning approaches based on refinement operators explore partia...

0 N'Dah Jean Kouagou, et al. ∙

research

∙ 06/29/2021

DRILL– Deep Reinforcement Learning for Refinement Operators in 𝒜ℒ𝒞

Approaches based on refinement operators have been successfully applied ...

0 Caglar Demir, et al. ∙

research

∙ 06/29/2021

Convolutional Hypercomplex Embeddings for Link Prediction

Knowledge graph embedding research has mainly focused on the two smalles...

0 Caglar Demir, et al. ∙

research

∙ 05/26/2021

Out-of-Vocabulary Entities in Link Prediction

Knowledge graph embedding techniques are key to making knowledge graphs ...

0 Caglar Demir, et al. ∙

research

∙ 05/07/2021

Open Data Portal Germany (OPAL) Projektergebnisse

In the Open Data Portal Germany (OPAL) project, a pipeline of the follow...

0 Adrian Wilke, et al. ∙

research

∙ 05/03/2021

MLCheck- Property-Driven Testing of Machine Learning Models

In recent years, we observe an increasing amount of software with machin...

0 Arnab Sharma, et al. ∙

research

∙ 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...

7 Umair Qudus, et al. ∙

research

∙ 03/11/2021

Knowledge Graph Question Answering using Graph-Pattern Isomorphism

Knowledge Graph Question Answering (KGQA) systems are based on machine l...

53 Daniel Vollmers, et al. ∙

research

∙ 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...

0 Waqas Ali, et al. ∙

research

∙ 01/22/2021

A shallow neural model for relation prediction

Knowledge graph completion refers to predicting missing triples. Most ap...

0 Caglar Demir, et al. ∙

research

∙ 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...

0 Nandana Mihindukulasooriya, et al. ∙

research

∙ 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...

0 Waqas Ali, et al. ∙

research

∙ 09/16/2020

NABU - Multilingual Graph-based Neural RDF Verbalizer

The RDF-to-text task has recently gained substantial attention due to co...

0 Diego Moussallem, et al. ∙

research

∙ 09/13/2020

Revealing Secrets in SPARQL Session Level

Based on Semantic Web technologies, knowledge graphs help users to disco...

1 Xinyue Zhang, et al. ∙

research

∙ 08/07/2020

Convolutional Complex Knowledge Graph Embeddings

In this paper, we study the problem of learning continuous vector repres...

10 Caglar Demir, et al. ∙

research

∙ 04/03/2020

Template-based Question Answering using Recursive Neural Networks

We propose a neural network-based approach to automatically learn and cl...

0 Ram G Athreya, et al. ∙

research

∙ 03/04/2020

Knowledge Graphs

In this paper we provide a comprehensive introduction to knowledge graph...

8 Aidan Hogan, et al. ∙

research

∙ 02/14/2020

Benchmarking Knowledge Graphs on the Web

The growing interest in making use of Knowledge Graphs for developing ex...

0 Michael Röder, et al. ∙

research

∙ 01/21/2020

A Physical Embedding Model for Knowledge Graphs

Knowledge graph embedding methods learn continuous vector representation...

0 Caglar Demir, et al. ∙

research

∙ 12/17/2019

ORCA: a Benchmark for Data Web Crawlers

The number of RDF knowledge graphs available on the Web grows constantly...

0 Michael Röder, et al. ∙

research

∙ 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...

0 Axel-Cyrille Ngonga Ngomo, et al. ∙

research

∙ 07/23/2019

Semantic Web for Machine Translation: Challenges and Directions

A large number of machine translation approaches have recently been deve...

0 Diego Moussallem, et al. ∙

research

∙ 03/06/2019

topFiberM: Scalable and Efficient Boolean Matrix Factorization

Matrix Factorization has many applications such as clustering. When the ...

0 Abdelmoneim Amer Desouki, et al. ∙

research

∙ 02/23/2019

Augmenting Neural Machine Translation with Knowledge Graphs

While neural networks have been used extensively to make substantial pro...

0 Diego Moussallem, et al. ∙

research

∙ 05/29/2018

Entity Linking in 40 Languages using MAG

A plethora of Entity Linking (EL) approaches has recently been developed...

0 Diego Moussallem, et al. ∙

research

∙ 03/21/2018

Expeditious Generation of Knowledge Graph Embeddings

Knowledge Graph Embedding methods aim at representing entities and relat...

0 Tommaso Soru, et al. ∙

research

∙ 02/22/2018

RDF2PT: Generating Brazilian Portuguese Texts from RDF Data

The generation of natural language from Resource Description Framework (...

0 Diego Moussallem, et al. ∙

research

∙ 02/22/2018

LIDIOMS: A Multilingual Linked Idioms Data Set

In this paper, we describe the LIDIOMS data set, a multilingual RDF repr...

0 Diego Moussallem, et al. ∙

research

∙ 02/10/2018

Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs

Graph representations of large knowledge bases may comprise billions of ...

0 Tommaso Soru, et al. ∙

research

∙ 02/10/2018

Forget Markov Logic: Efficient Mining of Prediction Rules in Large Graphs

Graph representations of large knowledge bases may comprise billions of ...

0 Tommaso Soru, et al. ∙

research

∙ 11/26/2017

Machine Translation Using Semantic Web Technologies: A Survey

A large number of machine translation approaches has been developed rece...

0 Diego Moussallem, et al. ∙

research

∙ 11/03/2017

Mandolin: A Knowledge Discovery Framework for the Web of Data

Markov Logic Networks join probabilistic modeling with first-order logic...

0 Tommaso Soru, et al. ∙

research

∙ 10/24/2017

Automatic Generation of Benchmarks for Entity Recognition and Linking

The velocity dimension of Big Data plays an increasingly important role ...

0 Axel-Cyrille Ngonga Ngomo, et al. ∙

research

∙ 10/24/2017

Using Multi-Label Classification for Improved Question Answering

A plethora of diverse approaches for question answering over RDF data ha...

0 Ricardo Usbeck, et al. ∙

research

∙ 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...

0 Diego Moussallem, et al. ∙

research

∙ 05/11/2017

ROCKER: A Refinement Operator for Key Discovery

The Linked Data principles provide a decentral approach for publishing s...

0 Tommaso Soru, et al. ∙

research

∙ 12/01/2016

An Evaluation of Models for Runtime Approximation in Link Discovery

Time-efficient link discovery is of central importance to implement the ...

0 Kleanthi Georgala, et al. ∙

research

∙ 11/06/2016

Self-Wiring Question Answering Systems

Question answering (QA) has been the subject of a resurgence over the pa...

0 Ricardo Usbeck, et al. ∙

research

∙ 08/09/2016

LITMUS: An Open Extensible Framework for Benchmarking RDF Data Management Solutions

Developments in the context of Open, Big, and Linked Data have led to an...

0 Harsh Thakkar, et al. ∙

Axel-Cyrille Ngonga Ngomo

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