IBRI-CASONTO: Ontology-based semantic search engine
The vast availability of information, that added in a very fast pace, in the data repositories creates a challenge in extracting correct and accurate information. Which has increased the competition among developers in order to gain access to technology that seeks to understand the intent researcher...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017-11-01
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| Series: | Egyptian Informatics Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S111086651730004X |
| _version_ | 1818622138175717376 |
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| author | Awny Sayed Amal Al Muqrishi |
| author_facet | Awny Sayed Amal Al Muqrishi |
| author_sort | Awny Sayed |
| collection | DOAJ |
| description | The vast availability of information, that added in a very fast pace, in the data repositories creates a challenge in extracting correct and accurate information. Which has increased the competition among developers in order to gain access to technology that seeks to understand the intent researcher and contextual meaning of terms. While the competition for developing an Arabic Semantic Search systems are still in their infancy, and the reason could be traced back to the complexity of Arabic Language. It has a complex morphological, grammatical and semantic aspects, as it is a highly inflectional and derivational language. In this paper, we try to highlight and present an Ontological Search Engine called IBRI-CASONTO for Colleges of Applied Sciences, Oman. Our proposed engine supports both Arabic and English language. It is also employed two types of search which are a keyword-based search and a semantics-based search. IBRI-CASONTO is based on different technologies such as Resource Description Framework (RDF) data and Ontological graph. The experiments represent in two sections, first it shows a comparison among Entity-Search and the Classical-Search inside the IBRI-CASONTO itself, second it compares the Entity-Search of IBRI-CASONTO with currently used search engines, such as Kngine, Wolfram Alpha and the most popular engine nowadays Google, in order to measure their performance and efficiency. |
| first_indexed | 2024-12-16T18:20:24Z |
| format | Article |
| id | doaj.art-288b5d0fa15d453fa4c16e82ffd909d8 |
| institution | Directory Open Access Journal |
| issn | 1110-8665 |
| language | English |
| last_indexed | 2024-12-16T18:20:24Z |
| publishDate | 2017-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Informatics Journal |
| spelling | doaj.art-288b5d0fa15d453fa4c16e82ffd909d82022-12-21T22:21:35ZengElsevierEgyptian Informatics Journal1110-86652017-11-0118318119210.1016/j.eij.2017.01.001IBRI-CASONTO: Ontology-based semantic search engineAwny Sayed0Amal Al Muqrishi1Faculty of Science, Minia University, EgyptNizwa University, OmanThe vast availability of information, that added in a very fast pace, in the data repositories creates a challenge in extracting correct and accurate information. Which has increased the competition among developers in order to gain access to technology that seeks to understand the intent researcher and contextual meaning of terms. While the competition for developing an Arabic Semantic Search systems are still in their infancy, and the reason could be traced back to the complexity of Arabic Language. It has a complex morphological, grammatical and semantic aspects, as it is a highly inflectional and derivational language. In this paper, we try to highlight and present an Ontological Search Engine called IBRI-CASONTO for Colleges of Applied Sciences, Oman. Our proposed engine supports both Arabic and English language. It is also employed two types of search which are a keyword-based search and a semantics-based search. IBRI-CASONTO is based on different technologies such as Resource Description Framework (RDF) data and Ontological graph. The experiments represent in two sections, first it shows a comparison among Entity-Search and the Classical-Search inside the IBRI-CASONTO itself, second it compares the Entity-Search of IBRI-CASONTO with currently used search engines, such as Kngine, Wolfram Alpha and the most popular engine nowadays Google, in order to measure their performance and efficiency.http://www.sciencedirect.com/science/article/pii/S111086651730004XOntological search engineKeyword-based searchSemantics-based searchResource Description Framework (RDF)Ontological graph |
| spellingShingle | Awny Sayed Amal Al Muqrishi IBRI-CASONTO: Ontology-based semantic search engine Egyptian Informatics Journal Ontological search engine Keyword-based search Semantics-based search Resource Description Framework (RDF) Ontological graph |
| title | IBRI-CASONTO: Ontology-based semantic search engine |
| title_full | IBRI-CASONTO: Ontology-based semantic search engine |
| title_fullStr | IBRI-CASONTO: Ontology-based semantic search engine |
| title_full_unstemmed | IBRI-CASONTO: Ontology-based semantic search engine |
| title_short | IBRI-CASONTO: Ontology-based semantic search engine |
| title_sort | ibri casonto ontology based semantic search engine |
| topic | Ontological search engine Keyword-based search Semantics-based search Resource Description Framework (RDF) Ontological graph |
| url | http://www.sciencedirect.com/science/article/pii/S111086651730004X |
| work_keys_str_mv | AT awnysayed ibricasontoontologybasedsemanticsearchengine AT amalalmuqrishi ibricasontoontologybasedsemanticsearchengine |