12 Result(s)
within
Mohamed Ahmed Sherif
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Chapter and Conference Paper
Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins
Recent 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 bee...
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Article
Open AccessIngridKG: A FAIR Knowledge Graph of Graffiti
Graffiti is an urban phenomenon that is increasingly attracting the interest of the sciences. To the best of our knowledge, no suitable data corpora are available for systematic research until now. The Informa...
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Chapter and Conference Paper
RELD: A Knowledge Graph of Relation Extraction Datasets
Relation 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 datase...
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Chapter and Conference Paper
Explainable Integration of Knowledge Graphs Using Large Language Models
Linked 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 specif...
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Article
Open AccessCovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications
The rapid generation of large amounts of information about the coronavirus SARS-CoV-2 and the disease COVID-19 makes it increasingly difficult to gain a comprehensive overview of current insights related to th...
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Chapter and Conference Paper
MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs
Keyphrase extraction aims to identify a small set of phrases that best describe the content of text. The automatic generation of keyphrases has become essential for many natural language applications such as t...
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Article
Open AccessLIMES: A Framework for Link Discovery on the Semantic Web
The Linked Data paradigm builds upon the backbone of distributed knowledge bases connected by typed links. The mere volume of current knowledge bases as well as their sheer number pose two major challenges whe...
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Chapter and Conference Paper
Tentris – A Tensor-Based Triple Store
The 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
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Chapter and Conference Paper
LSVS: Link Specification Verbalization and Summarization
An 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. Declara...
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Chapter and Conference Paper
Wombat – A Generalization Approach for Automatic Link Discovery
A 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 assumpti...
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Chapter and Conference Paper
Automating RDF Dataset Transformation and Enrichment
With 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 me...
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Chapter and Conference Paper
Unsupervised Link Discovery through Knowledge Base Repair
The Linked Data Web has developed into a compendium of partly very large datasets. Devising efficient approaches to compute links between these datasets is thus central to achieve the vision behind the Data We...
