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- research-articleJune 2024JUST ACCEPTED
ForestQB: Enhancing Linked Data Exploration through Graphical and Conversational UIs Integration
ACM Journal on Computing and Sustainable Societies (ACMJCSS), Just Accepted https://doi.org/10.1145/3675759This paper introduces the Forest Query Builder (ForestQB), an innovative toolkit designed to enhance the exploration and application of observational Linked Data (LD) within the field of wildlife research and conservation. Addressing the challenges faced ...
- research-articleJune 2024
Improving the representation of image descriptions for semantic image retrieval with RDF
Journal of Visual Communication and Image Representation (JVCIR), Volume 73, Issue CNov 2020https://doi.org/10.1016/j.jvcir.2020.102934AbstractThe past few years have witnessed a surge of interest in many topics at the intersection of natural language processing and computer vision. In particular, using objects together with their attributes and relations to represent images or ...
- research-articleJune 2024
Inductive autoencoder for efficiently compressing RDF graphs
Information Sciences: an International Journal (ISCI), Volume 662, Issue CMar 2024https://doi.org/10.1016/j.ins.2024.120210AbstractThe flexible paradigm of the Resource Description Framework (RDF) has accelerated the rate at which raw data is published on the web. Therefore, the volume of generated RDF data has increased impressively in the last decade, which promotes the ...
- ArticleJune 2024
TraQuLA: Transparent Question Answering Over RDF Through Linguistic Analysis
AbstractAnswering complex questions over knowledge graphs has gained popularity recently. Systems based on large language models seem to achieve top performance. However, these models may generate content that looks reasonable but is incorrect. They also ...
- ArticleMay 2024
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
AbstractThe availability of vast amounts of visual data with diverse and fruitful features is a key factor for developing, verifying, and benchmarking advanced computer vision (CV) algorithms and architectures. Most visual datasets are created and curated ...
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- ArticleMay 2024
Towards Cyber Mapping the German Financial System with Knowledge Graphs
- Markus Schröder,
- Jacqueline Krüger,
- Neda Foroutan,
- Philipp Horn,
- Christoph Fricke,
- Ezgi Delikanli,
- Heiko Maus,
- Andreas Dengel
AbstractThe increasing outsourcing by financial intermediaries intensifies the interconnection of the financial system with third-party providers. Concentration risks can materialize and threaten financial stability if these third-party providers are ...
- ArticleMay 2024
Automation of Electronic Invoice Validation Using Knowledge Graph Technologies
AbstractInvoicing is a crucial part of any business’s financial and administrative activities. Nowadays, invoicing is handled in the form of Electronic Data Interchange (EDI), where invoices are managed in a standardized electronic or digital format ...
- research-articleFebruary 2024
Evaluation of OMOP CDM, i2b2 and ICGC ARGO for supporting data harmonization in a breast cancer use case of a multicentric European AI project
- Santiago Frid,
- Guillem Bracons Cucó,
- Jessyca Gil Rojas,
- Antonio López-Rueda,
- Xavier Pastor Duran,
- Olga Martínez-Sáez,
- Raimundo Lozano-Rubí
Journal of Biomedical Informatics (JOBI), Volume 147, Issue CNov 2023https://doi.org/10.1016/j.jbi.2023.104505Graphical abstractDisplay Omitted
Highlights- Choosing a common data model for health research in cancer is challenging.
- ICGC ARGO’s rigid design of its data model hampers its implementation.
- i2b2 performed very similarly to OMOP CDM on all domains evaluated.
- i2b2′s lack ...
Observational research in cancer poses great challenges regarding adequate data sharing and consolidation based on a homogeneous data semantic base. Common Data Models (CDMs) can help consolidate health data repositories from different ...
- ArticleDecember 2023
RDF Data Partitioning for Efficient SPARQL Query Processing with Spark SQL
Information Integration and Web IntelligenceDec 2023, Pages 92–106https://doi.org/10.1007/978-3-031-48316-5_12AbstractIn the age of big data, the volume of RDF data has been exploding due to the growing demands for open data, including Linked Open Data (LOD), semantic data processing, and knowledge graphs. Large-scale RDF data may contain millions to hundreds of ...
- research-articleNovember 2023
SeeQ: A Programming Model for Portable Data-Driven Building Applications
BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationNovember 2023, Pages 159–168https://doi.org/10.1145/3600100.3623744This paper introduces SeeQ, a programming model and an abstraction framework that facilitates the development of portable data-driven building applications. Data-driven approaches can provide insights into building operations and guide decision-making ...
- ArticleNovember 2023
Parallel Construction of Knowledge Graphs from Relational Databases
PRICAI 2023: Trends in Artificial IntelligenceNov 2023, Pages 467–479https://doi.org/10.1007/978-981-99-7019-3_42AbstractKnowledge graphs have recently seen a wide range of applications in various domains. In many such applications data stored in relational databases constitutes an important source for the construction of knowledge graphs. R2RML is a mapping ...
- articleNovember 2023
A Decentralized Architecture for Semantic Interoperability of Personal Dental Data Based on FHIR
International Journal on Semantic Web & Information Systems (IJSWIS-IGI), Volume 19, Issue 1Jun 2023, Pages 1–16https://doi.org/10.4018/IJSWIS.333633Several problems arise due to the differences between dentistry and general medicine. The storage of dental data in information silos, the incompatibility of data between different dental clinics or institutions from other medical areas are the most ...
- ArticleNovember 2023
Using Pregel to Create Knowledge Graphs Subsets Described by Non-recursive Shape Expressions
Knowledge Graphs and Semantic WebNov 2023, Pages 120–134https://doi.org/10.1007/978-3-031-47745-4_10AbstractKnowledge Graphs have been successfully adopted in recent years, existing general-purpose ones, like Wikidata, as well as domain-specific ones, like UniProt. Their increasing size poses new challenges to their practical usage. As an example, ...
- ArticleNovember 2023
Linked Data Objects (LDO): A TypeScript-Enabled RDF Devtool
AbstractMany RDF devtools exist for JavaScript that let developers read and modify RDF data, but they often opt to use proprietary interfaces and don’t fully leverage the methods of reading and writing data with which JavaScript developers are familiar. ...
- ArticleNovember 2023
Compact Encoding of Reified Triples Using HDTr
AbstractContextual information about a statement is usually represented in RDF knowledge graphs via reification: creating a fresh ‘anchor’ term that represents the statement and using it in the triples that describe it. Current approaches make the ...
- research-articleNovember 2023
Graph pattern detection and structural redundancy reduction to compress named graphs
Information Sciences: an International Journal (ISCI), Volume 647, Issue CNov 2023https://doi.org/10.1016/j.ins.2023.119428AbstractThe flexible paradigm of Resource Description Framework (RDF) has accelerated the raw data published on the web. Therefore, the volume of generated RDF data has increased impressively in the last decade promoting compression to manage ...
- ArticleOctober 2023
GLENDA: Querying RDF Archives with Full SPARQL
The Semantic Web: ESWC 2023 Satellite EventsMay 2023, Pages 75–80https://doi.org/10.1007/978-3-031-43458-7_14AbstractThe dynamicity of semantic data has propelled the research on RDF Archiving, i.e., the task of storing and making the full history of large RDF datasets accessible. However, existing archiving techniques fail to scale when confronted with very ...
- ArticleOctober 2023
- research-articleOctober 2023
Checking Pattern Query Containment Under Shape Expression
AbstractShape expression (ShEx) is a novel schema language for RDF/graph data and is already in use in various domains. For various kinds of schema and data including ShEx and RDF graph, query containment is one of the major fundamental problems and ...
- research-articleOctober 2023
Online maintenance of evolving knowledge graphs with RDFS-based saturation and why-provenance support
Web Semantics: Science, Services and Agents on the World Wide Web (WEBS), Volume 78, Issue COct 2023https://doi.org/10.1016/j.websem.2023.100796AbstractEnterprise RDF knowledge graphs are often built using extraction data pipelines that are fed by several heterogeneous sources (relational databases, CSV files or even unstructured textual data). As a direct consequence, the ...