Ontology-Driven Data Access and Data Integration with an Application in the Materials Design Domain.
Saved in:
| Superior document: | Linköping Studies in Science and Technology. Dissertations Series ; v.2218 |
|---|---|
| : | |
| Place / Publishing House: | Linköping : : Linkopings Universitet,, 2022. {copy}2022. |
| Year of Publication: | 2022 |
| Edition: | 1st ed. |
| Language: | English |
| Series: | Linköping Studies in Science and Technology. Dissertations Series
|
| Online Access: | |
| Physical Description: | 1 online resource (264 pages) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Intro
- Abstract
- Populärvetenskaplig sammanfattning
- Acknowledgments
- Contents
- List of Figures
- List of Tables
- List of Listings
- List of Acronyms
- External Publications
- Introduction
- Motivation
- Problem formulation
- Contributions
- Research methods
- Thesis outline
- Background
- Ontologies, RDF, SPARQL
- Data integration
- Materials design domain
- FAIR data principles
- Summary
- GraphQL-based framework for data access and integration
- GraphQL
- GraphQL schemas
- GraphQL resolver functions
- Overview of the framework
- GraphQL server generation process
- GraphQL query answering process
- Summary
- Ontology-based GraphQL server generation (OBG-gen)
- Ontology-based GraphQL schema generation
- GraphQL schema formalization
- Ontology represented by description logic TBox
- The Schema Generator algorithm
- The intended meaning of GraphQL schemas generated by the Schema Generator
- Generic GraphQL resolver function
- GraphQL queries represented by Abstract Syntax Trees
- RDF Mapping Language (RML)
- Components of the generic resolver function
- The Evaluator algorithm
- Related work
- Summary
- Materials Design Ontology (MDO)
- Background and related work
- Ontology development
- Ontologies in the materials science domain
- Databases in the materials science domain
- Open Databases Integration for Materials Design
- Development of Materials Design Ontology
- Requirements analysis
- Using existing resources
- Description of Materials Design Ontology
- MDO core module
- MDO structure module
- MDO calculation module
- MDO provenance module
- Usage of Materials Design Ontology
- Instantiating a materials calculation using MDO
- Impact, reusability, and availability of MDO
- Summary
- An approach for extending domain ontologies (ToPMine-FTCA)
- Background.
- Extending ontologies based on unstructured text
- Topic models
- The framework (ToPMine-FTCA)
- Topic model-based text mining
- Formal topical concept analysis
- Domain expert validation
- Summary
- Evaluation of ToPMine-FTCA
- Related work
- Extending ontologies using ToPMine-FTCA
- Extending ontologies in the nanotechnology domain
- Extending Materials Design Ontology
- Summary
- Evaluation of the GraphQL-based framework
- Real case evaluation
- Data
- Systems
- Queries
- Experiments and measurements
- Results and discussion
- Evaluation based on LinGBM
- Data
- Queries
- Experiments, results and discussion
- Summary
- An application to OPTIMADE
- The OPTIMADE API
- The usage of MDO and OBG-gen with OPTIMADE
- Summary
- Limitations and future work
- Towards more user-friendly data access, data integration and ontology extension
- Limitations in mapping languages
- Semantic Web meets Materials Science
- Conclusions
- Ontology-driven data access and integration
- Domain ontologies extension
- Evaluation and application in the materials science domain
- Bibliography
- SPARQL queries for MDO competency questions
- GraphQL schemas used in the evaluation
- MDO related GraphQL schema
- University related GraphQL schema
- GraphQL queries used in the evaluation
- MDO related queries
- Queries without filter expressions
- Queries with filter expressions
- Query examples according to query templates in LinGBM.
- Dr-sammanst.