Ontology-based data integration
View article: From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows
From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows Open
In this poster, we propose an autometed ontology term suggestion system based on ontology embedding and semantic similarity, aiming to facilitate FAIR data publication in energy domain
View article: From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows
From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows Open
In this poster, we propose an autometed ontology term suggestion system based on ontology embedding and semantic similarity, aiming to facilitate FAIR data publication in energy domain
View article: Four-System Ontology of Organizations v1.2
Four-System Ontology of Organizations v1.2 Open
This paper develops a four-system ontology for analysing organisations as complex socio-technical systems embedded in wider environments. The ontology distinguishes four irreducible system types: deterministic structure systems, animated h…
View article: Four-System Ontology of Organizations v1.2
Four-System Ontology of Organizations v1.2 Open
This paper develops a four-system ontology for analysing organisations as complex socio-technical systems embedded in wider environments. The ontology distinguishes four irreducible system types: deterministic structure systems, animated h…
View article: Four-System Ontology of Organizations v1.1
Four-System Ontology of Organizations v1.1 Open
This paper presents a four‑system ontology for analysing organizations as complex socio‑technical configurations embedded in broader environments. The ontology distinguishes deterministic structure systems, animated human systems, social e…
View article: Data Sheet 1_NatureKG: an ontology and knowledge graph for nature finance with a Text2Cypher application.pdf
Data Sheet 1_NatureKG: an ontology and knowledge graph for nature finance with a Text2Cypher application.pdf Open
Introduction Nature finance involves complex, multi-dimensional challenges that require analytical frameworks to assess risks, impacts, dependencies, and systemic resilience. Existing financial systems lack structured tools to map dependen…
View article: <scp>Burr:</scp> A Benchmark for Ontology Learning from Relational Databases
<span>Burr:</span> A Benchmark for Ontology Learning from Relational Databases Open
Knowledge graphs and ontologies play an essential role in integrating, standardizing, and reasoning about complex data across domains. In recent studies, leveraging knowledge graphs in AI use cases, instead of traditional relational databa…
View article: A curation system of rice trait ontology with reliable interoperation by LLM and PubAnnotation
A curation system of rice trait ontology with reliable interoperation by LLM and PubAnnotation Open
Background Ontology frameworks are essential for organizing complex biological knowledge, such as genes, phenotypes, and pathways, and for ensuring consistent data annotation and retrieval. In biological research, ontologies like the Gene …
View article: SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications
SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications Open
Pharmacovigilance and clinical decision support systems utilize structured drug safety data to guide medical practice. However, existing datasets frequently depend on legacy terminologies, such as MedDRA, which limit the semantic reasoning…
View article: The Definition Challenge: A Full Rule-Based Ontology
The Definition Challenge: A Full Rule-Based Ontology Open
This work presents a rule-based foundational ontology constructed from zero assumptions. It does not replace physics or mathematics. Instead, it offers a devil’s advocate challenge: attempt to break the definitional structure underlying id…
View article: SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications
SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications Open
Pharmacovigilance and clinical decision support systems utilize structured drug safety data to guide medical practice. However, existing datasets frequently depend on legacy terminologies, such as MedDRA, which limit the semantic reasoning…
View article: The Definition Challenge: A Full Rule-Based Ontology
The Definition Challenge: A Full Rule-Based Ontology Open
This work presents a rule-based foundational ontology constructed from zero assumptions. It does not replace physics or mathematics. Instead, it offers a devil’s advocate challenge: attempt to break the definitional structure underlying id…
View article: PRO Research: An ontology for describing RDM-Policies in a structured way.
PRO Research: An ontology for describing RDM-Policies in a structured way. Open
The PRO Research (Project- and RDM-Oriented Research) Ontology provides an ontology to describe research processes along with corresponding policies. In this way, institutional and project-specific policies and guidelines related to Resear…
View article: PRO Research: An ontology for describing RDM-Policies in a structured way.
PRO Research: An ontology for describing RDM-Policies in a structured way. Open
The PRO Research (Project- and RDM-Oriented Research) Ontology provides an ontology to describe research processes along with corresponding policies. In this way, institutional and project-specific policies and guidelines related to Resear…
View article: Ontology of Quantum Information for Efficient Visual and Language Control
Ontology of Quantum Information for Efficient Visual and Language Control Open
The article analyzes the architecture of intelligent video surveillance based on an ontology of information quanta. The relevance of the study is determined by tightening requirements for IoT video analytics, which must operate under limit…
View article: bcgsc/pori_graphkb_loader: Release v8.2.0
bcgsc/pori_graphkb_loader: Release v8.2.0 Open
Improvements [KBDEV-1360] Update schema version dependency to ~4.1.0 (#188) [KBDEV-1386; CLININFO-811] Update EvidenceLevel ontology data (#188) [KBDEV-1333] Update CGL loader (#186) [KBDEV-1325] Add source ANZCTR (#182) [KBDEV-1305] Updat…
View article: MQTT4SSNOntology: MQTT4SSN v1.0: CEUR Workshop Proceedings release
MQTT4SSNOntology: MQTT4SSN v1.0: CEUR Workshop Proceedings release Open
MQTT4SSN Ontology MQTT4SSN is an ontology representing the MQTT transport protocol, containing the transmitted data. It extends the W3C SSN/SOSA ontology with the MQTT transport protocol component and uses the WoT MQTT to RDF draft as an o…
View article: Randomness as Residual Boundary: A Scientific Ontology of Structured Randomness
Randomness as Residual Boundary: A Scientific Ontology of Structured Randomness Open
We propose a structural ontology of randomness based on irreducible residual complexity.Randomness is redefined not as the absence of pattern, but as the boundary where compressiblestructure fails. We introduce the residual compressibility…
View article: Ontology Embedding for Subjective Time: The XChronos OS Case Study
Ontology Embedding for Subjective Time: The XChronos OS Case Study Open
This article examines how contemporary ontology embedding methods can be applied to the domain of subjective time, using XChronos OS as a case study. XChronos OS defines a complete ontology composed of phenomenological temporal units (Chro…
View article: KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs Open
Building high-quality knowledge graphs (KGs) from diverse sources requires combining methods for information extraction, data transformation, ontology mapping, entity matching, and data fusion. Numerous methods and tools exist for each of …
View article: KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs Open
Building high-quality knowledge graphs (KGs) from diverse sources requires combining methods for information extraction, data transformation, ontology mapping, entity matching, and data fusion. Numerous methods and tools exist for each of …
View article: Ontology Embedding for Subjective Time: The XChronos OS Case Study
Ontology Embedding for Subjective Time: The XChronos OS Case Study Open
This article examines how contemporary ontology embedding methods can be applied to the domain of subjective time, using XChronos OS as a case study. XChronos OS defines a complete ontology composed of phenomenological temporal units (Chro…
View article: The Belief-Desire-Intention Ontology for modelling mental reality and agency
The Belief-Desire-Intention Ontology for modelling mental reality and agency Open
The Belief-Desire-Intention (BDI) model is a cornerstone for representing rational agency in artificial intelligence and cognitive sciences. Yet, its integration into structured, semantically interoperable knowledge representations remains…
View article: The Belief-Desire-Intention Ontology for modelling mental reality and agency
The Belief-Desire-Intention Ontology for modelling mental reality and agency Open
The Belief-Desire-Intention (BDI) model is a cornerstone for representing rational agency in artificial intelligence and cognitive sciences. Yet, its integration into structured, semantically interoperable knowledge representations remains…
View article: Taxonomy OWLizer: A Tool for Converting Taxonomic Data into OWL
Taxonomy OWLizer: A Tool for Converting Taxonomic Data into OWL Open
The growing demand for high-quality, interoperable biodiversity data exposes the current challenges of standardizing taxonomic information across platforms. While the Global Biodiversity Information Facility Backbone Taxonomy (GBIF Secreta…
View article: AD-CDO: A Lightweight Ontology for Representing Eligibility Criteria in Alzheimer's Disease Clinical Trials
AD-CDO: A Lightweight Ontology for Representing Eligibility Criteria in Alzheimer's Disease Clinical Trials Open
Objective This study introduces the Alzheimer's Disease Common Data Element Ontology for Clinical Trials (AD-CDO), a lightweight, semantically enriched ontology designed to represent and standardize key eligibility criteria concepts in Alz…
View article: AD-CDO: A Lightweight Ontology for Representing Eligibility Criteria in Alzheimer's Disease Clinical Trials
AD-CDO: A Lightweight Ontology for Representing Eligibility Criteria in Alzheimer's Disease Clinical Trials Open
Objective This study introduces the Alzheimer's Disease Common Data Element Ontology for Clinical Trials (AD-CDO), a lightweight, semantically enriched ontology designed to represent and standardize key eligibility criteria concepts in Alz…
View article: Computational Infrastructure for Modern Greek: From Grammar to Ontology
Computational Infrastructure for Modern Greek: From Grammar to Ontology Open
This study presents a comprehensive NLP infrastructure for Modern Greek that bridges grammatical analysis and ontological representation, integrating linguistic theory, algorithmic modeling, and semantic structuring within a unified comput…
View article: An Industry-Ready Machine Learning Ontology
An Industry-Ready Machine Learning Ontology Open
This article presents an industry-ready ontology for the machine learning domain, which is named “ML Ontology”. ML ontology is comprehensive, provides good performance and is extensible and adaptable. While based on lightweight modelling l…
View article: Ontologies in designing industrial digital platforms
Ontologies in designing industrial digital platforms Open
The article explores the use of an ontological approach in designing industrial digital platforms within the framework of the Industry 4.0 paradigm. An approach to creating knowledge bases of technical system components using ontological m…