Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain
The aim of using semantic technologies in domain knowledge modeling is to introduce the semantic meaning of concepts in knowledge bases, such that they are both human-readable as well as machine-understandable. Due to their powerful knowledge representation formalism and associated inference mechani...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2018
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| Online Access: | https://eprints.nottingham.ac.uk/48063/ |
| _version_ | 1848797682486738944 |
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| author | Lawan, Abba |
| author_facet | Lawan, Abba |
| author_sort | Lawan, Abba |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The aim of using semantic technologies in domain knowledge modeling is to introduce the semantic meaning of concepts in knowledge bases, such that they are both human-readable as well as machine-understandable. Due to their powerful knowledge representation formalism and associated inference mechanisms, ontology-based approaches have been increasingly adopted to formally represent domain knowledge. The primary objective of this thesis work has been to use semantic technologies in advancing knowledge-sharing of Underutilized crops as a domain and investigate the integration of underlying ontologies developed in OWL (Web Ontology Language) with augmented SWRL (Semantic Web Rule Language) rules for added expressiveness.
The work further investigated generating ontologies from existing data sources and proposed the reverse-engineering approach of generating domain specific conceptualization through competency questions posed from possible ontology users and domain experts. For utilization, a semantic search engine (the Onto-CropBase) has been developed to serve as a Web-based access point for the Underutilized crops ontology model. Relevant linked-data in Resource Description Framework Schema (RDFS) were added for comprehensiveness in generating federated queries.
While the OWL/SWRL combination offers a highly expressive ontology language for modeling knowledge domains, the combination is found to be lacking supplementary descriptive constructs to model complex real-life scenarios, a necessary requirement for a successful Semantic Web application. To this end, the common logic programming formalisms for extending Description Logic (DL)-based ontologies were explored and the state of the art in SWRL expressiveness extensions determined with a view to extending the SWRL formalism. Subsequently, a novel fuzzy temporal extension to the Semantic Web Rule Language (FT-SWRL), which combines SWRL with fuzzy logic theories based on the valid-time temporal model, has been proposed to allow modeling imprecise temporal expressions in domain ontologies. |
| first_indexed | 2025-11-14T20:07:45Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-48063 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:07:45Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-480632025-02-28T12:00:20Z https://eprints.nottingham.ac.uk/48063/ Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain Lawan, Abba The aim of using semantic technologies in domain knowledge modeling is to introduce the semantic meaning of concepts in knowledge bases, such that they are both human-readable as well as machine-understandable. Due to their powerful knowledge representation formalism and associated inference mechanisms, ontology-based approaches have been increasingly adopted to formally represent domain knowledge. The primary objective of this thesis work has been to use semantic technologies in advancing knowledge-sharing of Underutilized crops as a domain and investigate the integration of underlying ontologies developed in OWL (Web Ontology Language) with augmented SWRL (Semantic Web Rule Language) rules for added expressiveness. The work further investigated generating ontologies from existing data sources and proposed the reverse-engineering approach of generating domain specific conceptualization through competency questions posed from possible ontology users and domain experts. For utilization, a semantic search engine (the Onto-CropBase) has been developed to serve as a Web-based access point for the Underutilized crops ontology model. Relevant linked-data in Resource Description Framework Schema (RDFS) were added for comprehensiveness in generating federated queries. While the OWL/SWRL combination offers a highly expressive ontology language for modeling knowledge domains, the combination is found to be lacking supplementary descriptive constructs to model complex real-life scenarios, a necessary requirement for a successful Semantic Web application. To this end, the common logic programming formalisms for extending Description Logic (DL)-based ontologies were explored and the state of the art in SWRL expressiveness extensions determined with a view to extending the SWRL formalism. Subsequently, a novel fuzzy temporal extension to the Semantic Web Rule Language (FT-SWRL), which combines SWRL with fuzzy logic theories based on the valid-time temporal model, has been proposed to allow modeling imprecise temporal expressions in domain ontologies. 2018-02-24 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/48063/1/PhDThesis-2017-AbbaLawan.pdf Lawan, Abba (2018) Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain. PhD thesis, University of Nottingham. ontology semantic technologies semantic web rule language (SWRL) fuzzy temporal SWRL underutilized Crops Onto-CropBase |
| spellingShingle | ontology semantic technologies semantic web rule language (SWRL) fuzzy temporal SWRL underutilized Crops Onto-CropBase Lawan, Abba Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain |
| title | Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain |
| title_full | Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain |
| title_fullStr | Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain |
| title_full_unstemmed | Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain |
| title_short | Ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain |
| title_sort | ontology-based knowledge representation and semantic search information retrieval: case study of the underutilized crops domain |
| topic | ontology semantic technologies semantic web rule language (SWRL) fuzzy temporal SWRL underutilized Crops Onto-CropBase |
| url | https://eprints.nottingham.ac.uk/48063/ |