Sematic Search in Holy Quran
| dc.contributor.author | Ali Niaz Butt | |
| dc.contributor.author | Umair Ahmad | |
| dc.date.accessioned | 2019-02-26T10:37:34Z | |
| dc.date.available | 2019-02-26T10:37:34Z | |
| dc.date.issued | 2016 | |
| dc.description | Nabeel Sabir Khan | en_US |
| dc.description.abstract | The study of Quran unfolds great magnitude of knowledge and wisdom. To have relevant information from the web has now become the problem for many, especially for those who required information for research purposes. The proposed system provides an intelligent search engine for the Holy Quran with full text features. It enables the user to extract meaningful information from the Holy Quran. Our Ontology based system serves as the key product in the semantic information extraction from such a prestigious Islamic resource, the Holy Quran itself. Here relational database is first populated with verses and chapters and information from the Quran, and further meaningful relation are made. We are providing students of Quran with a search tool which can yield results in form of Ayah from the Holy Quran based on Topics provided by Online Quran Ontology. This will hopefully shorten the gap between mere reading of the Holy Book and researching required and useful topics from the Holy Book. | en_US |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/3686 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Management & Technology | en_US |
| dc.subject | Holy Book, Online Quran Ontology, semantic information | en_US |
| dc.subject | BS | en_US |
| dc.title | Sematic Search in Holy Quran | en_US |
| dc.title | Sematic search in holy quran | en_us |
| dc.type | Thesis | en_US |
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