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- ArticleMay 2024
Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins
AbstractRecent analyses of real-world queries show that a prominent type of queries is that of conjunctive regular path queries. Despite the increasing popularity of this type of queries, only limited efforts have been invested in their efficient ...
- ArticleJune 2023
Explainable Integration of Knowledge Graphs Using Large Language Models
- Abdullah Fathi Ahmed,
- Asep Fajar Firmansyah,
- Mohamed Ahmed Sherif,
- Diego Moussallem,
- Axel-Cyrille Ngonga Ngomo
Natural Language Processing and Information SystemsJun 2023, Pages 124–139https://doi.org/10.1007/978-3-031-35320-8_9AbstractLinked knowledge graphs build the backbone of many data-driven applications such as search engines, conversational agents and e-commerce solutions. Declarative link discovery frameworks use complex link specifications to express the conditions ...
- ArticleMay 2023
RELD: A Knowledge Graph of Relation Extraction Datasets
AbstractRelation extraction plays an important role in natural language processing. There is a wide range of available datasets that benchmark existing relation extraction approaches. However, most benchmarking datasets are provided in different formats ...
- ArticleOctober 2022
- research-articleJune 2022
ADAGIO — Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning
HT '22: Proceedings of the 33rd ACM Conference on Hypertext and Social MediaJune 2022, Pages 43–51https://doi.org/10.1145/3511095.3531287The creation of an RDF knowledge graph for a particular application commonly involves a pipeline of tools that transform a set of input data sources into an RDF knowledge graph in a process called dataset augmentation. The components of such ...
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- research-articleMay 2021
Multilingual Verbalization and Summarization for Explainable Link Discovery
Data & Knowledge Engineering (DAKE), Volume 133, Issue CMay 2021https://doi.org/10.1016/j.datak.2021.101874AbstractThe number and size of datasets abiding by the Linked Data paradigm increase every day. Discovering links between these datasets is thus central to achieving the vision behind the Data Web. Declarative Link Discovery (LD) frameworks ...
- doctoral_thesisJanuary 2021
OntoConnect: Domain-Agnostic Ontology Alignment Using Neural Networks
AbstractAn ontology is a vocabulary that provides a formal description of entities within a domain and their relationships with other entities. Along with basic schema information, it also captures information in the form of metadata about cardinality, ...
- ArticleNovember 2020
Tentris – A Tensor-Based Triple Store
- Alexander Bigerl,
- Felix Conrads,
- Charlotte Behning,
- Mohamed Ahmed Sherif,
- Muhammad Saleem,
- Axel-Cyrille Ngonga Ngomo
AbstractThe number and size of RDF knowledge graphs grows continuously. Efficient storage solutions for these graphs are indispensable for their use in real applications. We present such a storage solution dubbed Tentris. Our solution represents RDF ...
- research-articleSeptember 2019
Do your Resources Sound Similar?: On the Impact of Using Phonetic Similarity in Link Discovery
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 53–60https://doi.org/10.1145/3360901.3364426An increasing number of heterogeneous datasets abiding by the Linked Data paradigm is published everyday. Discovering links between these datasets is thus central to achieving the vision behind the Data Web. Declarative Link Discovery (LD) frameworks ...
- short-paperSeptember 2019
Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction
K-CAP '19: Proceedings of the 10th International Conference on Knowledge CaptureSeptember 2019, Pages 231–234https://doi.org/10.1145/3360901.3364413Existing technologies employ different machine learning approachesto predict disasters from historical environmental data. However,for short-term disasters (e.g., earthquakes), historical data alonehas a limited prediction capability. In this work, we ...
- ArticleJune 2019
LSVS: Link Specification Verbalization and Summarization
Natural Language Processing and Information SystemsJun 2019, Pages 66–78https://doi.org/10.1007/978-3-030-23281-8_6AbstractAn increasing number and size of datasets abiding by the Linked Data paradigm are published everyday. Discovering links between these datasets is thus central to achieve the vision behind the Data Web. Declarative Link Discovery (LD) frameworks ...
- ArticleMay 2017
Wombat – A Generalization Approach for Automatic Link Discovery
AbstractA significant portion of the evolution of Linked Data datasets lies in updating the links to other datasets. An important challenge when aiming to update these links automatically under the open-world assumption is the fact that usually only ...
- ArticleFebruary 2017
RADON — rapid discovery of topological relations
AAAI'17: Proceedings of the Thirty-First AAAI Conference on Artificial IntelligenceFebruary 2017, Pages 175–181Geospatial data is at the core of the Semantic Web, of which the largest knowledge base contains more than 30 billions facts. Reasoning on these large amounts of geospatial data requires efficient methods for the computation of links between the ...
- ArticleAugust 2016
An efficient approach for the generation of allen relations
ECAI'16: Proceedings of the Twenty-second European Conference on Artificial IntelligenceAugust 2016, Pages 948–956https://doi.org/10.3233/978-1-61499-672-9-948Event data is increasingly being represented according to the Linked Data principles. The need for large-scale machine learning on data represented in this format has thus led to the need for efficient approaches to compute RDF links between resources ...
- research-articleSeptember 2015
An optimization approach for load balancing in parallel link discovery
SEMANTICS '15: Proceedings of the 11th International Conference on Semantic SystemsSeptember 2015, Pages 161–168https://doi.org/10.1145/2814864.2814872Many of the available RDF datasets describe millions of resources by using billions of triples. Consequently, millions of links can potentially exist among such datasets. While parallel implementations of link discovery approaches have been developed in ...
- ArticleMay 2015
Automating RDF Dataset Transformation and Enrichment
Proceedings of the 12th European Semantic Web Conference on The Semantic Web. Latest Advances and New Domains - Volume 9088May 2015, Pages 371–387https://doi.org/10.1007/978-3-319-18818-8_23With the adoption of RDF across several domains, come growing requirements pertaining to the completeness and quality of RDF datasets. Currently, this problem is most commonly addressed by manually devising means of enriching an input dataset. The few ...
- ArticleAugust 2014
Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal
WI-IAT '14: Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 02August 2014, Pages 319–326https://doi.org/10.1109/WI-IAT.2014.114Is widely accepted that food supply and quality are major problems in the 21st century. Due to the growth of the world's population, there is a pressing need to improve the productivity of agricultural crops, which hinges on different factors such as ...
- research-articleSeptember 2013
User-driven quality evaluation of DBpedia
- Amrapali Zaveri,
- Dimitris Kontokostas,
- Mohamed A. Sherif,
- Lorenz Bühmann,
- Mohamed Morsey,
- Sören Auer,
- Jens Lehmann
I-SEMANTICS '13: Proceedings of the 9th International Conference on Semantic SystemsSeptember 2013, Pages 97–104https://doi.org/10.1145/2506182.2506195Linked Open Data (LOD) comprises of an unprecedented volume of structured datasets on the Web. However, these datasets are of varying quality ranging from extensively curated datasets to crowdsourced and even extracted data of relatively low quality. We ...
- articleJuly 2013
Publishing and interlinking the Global Health Observatory dataset: Towards increasing transparency in Global Health
Semantic Web (SEMANW), Volume 4, Issue 3July 2013, Pages 315–322The improvement of public health is one of the main indicators for societal progress. Statistical data for monitoring public health is highly relevant for a number of sectors, such as research e.g. in the life sciences or economy, policy making, health ...