| Pub. Date | : Jul, 2020 |
|---|---|
| Product Name | : The IUP Journal of Computer Sciences |
| Product Type | : Article |
| Product Code | : IJCS20720 |
| Author Name | : A Martina Betsy |
| Availability | : YES |
| Subject/Domain | : Management |
| Download Format | : PDF Format |
| No. of Pages | : 7 |
The Bible, which is the holy book for Christians, contains instructions for life and has a vast reservoir of information, useful for life. It is sufficient to provide an answer to queries on any vital topic in life. The paper focuses on 'Leadership', which is an important concept in life and aims at developing Ontology for the same, based on a few books of the Old and New Testaments of the Bible. Leadership is one of the vital personality traits that decide how much a person achieves and climbs up the ladder of success in life and influences other people and the society at large. The study on leadership was done from various perspectives-historical, sociological, psychological, etc. However, in this work, it is approached from a Biblical perspective, wherein the Biblical truths are used both to diagnose the leadership potential in a person and recommend leadership scope for a person based on his or her leadership abilities. A combination of ontological approach and Case-Based Reasoning (CBR) is used for this. The Ontology Web Language (OWL) on leadership is developed and used in the CBR system development. The CBR system is developed using myCBR. Any user can use this application to assess his leadership traits, recognize his eligibility for becoming a leader and receive biblical recommendations to equip him for future leadership.
Biblical websites provide search engines that help users to do a keyword-based search on biblical terms and list the verses that have those keywords. It is hard to correlate the verses and extract useful information because there is no established logical connectivity among them. An ontology, based on the biblical verses, would enable structuring of the numerous verses which can then be queried upon the users' benefit.
Case-Based Reasoning (CBR), Ontology Web Language (OWL), Recommender system