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Title:
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DEVELOPING A LEGAL EXPERT SYSTEM FOR THE PALESTINIAN LABOR LAW |
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Author(s):
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Moath Rjoub, Bashar Albakri, Yosef Zatari, Alabas Natsheh, Maysa Dandis and Musa Alrefaya |
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ISBN:
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978-989-8533-62-3 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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Artificial Intelligence, AI and Law, Legal Expert System, Rule Based Legal Expert System, Case-Based legal Expert System |
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Type:
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Short Paper |
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First Page:
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215 |
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Last Page:
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219 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Legal expert system has received abundant attention recently from researcher in the artificial intelligence and law areas. Developing such systems for supporting the judges and advocates decisions improve the reliability and the quality of the taken decisions. The Palestinian labor law consists of 141 rules and represent one of the main fuzzy and difficult issues of advocates and judges. Recently, legal labor cases. The rapid growing of the legal labor cases a high pressure on courts and advocates and a frequent long delay. Developing a legal expert system for the labor law in Palestine will help workers to know their rights and the expected results of the court decision. Additionally, it will help to avoid conflicts and save advocates time as well offer another opinion. In this work, we study and analyze the Palestinian labor law (141 rule) and divided it into three different types: instructive laws, laws related to fees and laws related to achievements. The important features from each group is are extracted and converted into mathematical model. Based on the extracted features, a rule-based expert system is developed and built. The proposed system is tested using simulated and real cases that provided by a specialist advocates and the results are compared with the court decision. The system shows a significant results. |
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