Design and implementation of an ontology extraction framework and a semantic search engine over jsr-170 compliant content repositories ; JSR-170 uyumlu içerik havuzları üzerinde ontoloji çıkarım iskeleti ve anlamsal arama motorunun tasarım ve uygulanması. ; Design and implementation of an ontology extraction framework and a semantic search engine over JSR-170 compliant content repositories; The ontology framework and implementation of the semantic search engine on the JSR-170 compatible content pools.
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| Title: | Design and implementation of an ontology extraction framework and a semantic search engine over jsr-170 compliant content repositories ; JSR-170 uyumlu içerik havuzları üzerinde ontoloji çıkarım iskeleti ve anlamsal arama motorunun tasarım ve uygulanması. ; Design and implementation of an ontology extraction framework and a semantic search engine over JSR-170 compliant content repositories; The ontology framework and implementation of the semantic search engine on the JSR-170 compatible content pools. |
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| Authors: | Aluç, Güneş |
| Contributors: | Doğaç, Asuman, Department of Computer Engineering |
| Publication Year: | 2009 |
| Subject Terms: | Computer enginnering, Java (Computer programming language), info, phil |
| Description: | A Content Management System (CMS) is a software application for creating, publishing, editing and managing content. The future step in content management system development is building intelligence over existing content resources that are heterogeneous in nature. Intelligence collected at the knowledge base can later on be used for executing semantic queries. Expressing the relations among content resources with ontological formalisms is therefore the key to implementing such semantic features. In this work, a methodology for the semantic lifting of JSR-170 compliant content repositories to ontologies is devised. The fact that in the worst case JSR-170 enforces no particular structural restrictions on the content model poses a technical challenge both for the initial build-up and further synchronization of the knowledge base. To address this problem, some recurring structural patterns in JSR-170 compliant content repositories are exploited. The value of the ontology extraction framework is assessed through a semantic search mechanism that is built on top of the extracted ontologies. The work in this thesis is complementary to the “Interactive Knowledge Stack for small to medium CMS/KMS providers (IKS)” project funded by the EC (FP7-ICT-2007-3). ; M.S. - Master of Science |
| Document Type: | thesis |
| Language: | English |
| Relation: | http://etd.lib.metu.edu.tr/upload/12610665/index.pdf; https://hdl.handle.net/11511/18537 |
| Availability: | http://etd.lib.metu.edu.tr/upload/12610665/index.pdf https://hdl.handle.net/11511/18537 |
| Rights: | undefined |
| Accession Number: | edsbas.EF7C497 |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | A Content Management System (CMS) is a software application for creating, publishing, editing and managing content. The future step in content management system development is building intelligence over existing content resources that are heterogeneous in nature. Intelligence collected at the knowledge base can later on be used for executing semantic queries. Expressing the relations among content resources with ontological formalisms is therefore the key to implementing such semantic features. In this work, a methodology for the semantic lifting of JSR-170 compliant content repositories to ontologies is devised. The fact that in the worst case JSR-170 enforces no particular structural restrictions on the content model poses a technical challenge both for the initial build-up and further synchronization of the knowledge base. To address this problem, some recurring structural patterns in JSR-170 compliant content repositories are exploited. The value of the ontology extraction framework is assessed through a semantic search mechanism that is built on top of the extracted ontologies. The work in this thesis is complementary to the “Interactive Knowledge Stack for small to medium CMS/KMS providers (IKS)” project funded by the EC (FP7-ICT-2007-3). ; M.S. - Master of Science |
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