| Type of Material: | Thesis |
| Title: | Knowledge Discovery on Venereal Virus Using Semantic Rules in Ontology |
| Researcher: | GEETHA, R |
| Guide: | SIVASUBRAMANIAN, S |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2020 |
| Language: | English |
| Subject: | Computer Science | Computer Science Theory and Methods | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2020; D13CS508 |
| Fulltext: | Shodhganga |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aGEETHA, R|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aKnowledge Discovery on Venereal Virus Using Semantic Rules in Ontology |
| 260 | __ | |aChennai|bBharath University, Chennai|c2020 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2020|oD13CS508 |
| 520 | __ | |aThe exploration covenants with the inevitability for ontology based knowledge illustration and its extreme articulateness in the venereal virus. The earlier ontology solutions as overall representation and facilitator of the venereal virus were in must of updating in order to stay awake with further current principles, as well as enhancing the extensiveness of the domain and expressivity of the venereal virus. Ontological representation of the model HPVMath ontology explained using Mathematical models is verbalized for representing the sustainability of HPV which naturally advances to cervical cancer among women. HPVMath ontology obtains a correct communal vision for HPV existence which helps therapeutic experts and creates consciousness amongst men and women. Features like sexually transmitted diseases; smoking etc intensifies the threat of emerging cervical cancer. Ascertaining to these features and constructing a model to categorize the cases of cervical cancer is an existing challenging in research. Thi |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Theory and Methods |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aSIVASUBRAMANIAN, S|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/310000|yShodhganga |
| 905 | __ | |afromsg |
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