ONTOLOGY MODELLING ON LEGAL DOCUMENT CASE STUDY : LEGAL DOCUMENT OF INDONESIAN REPUBLIC

Indonesia is a legal nation. The legal state in its implementation uses the law to regulate the life of the community, state, and run the government. Inconsistencies in the laws and regulations of the Republic of Indonesia have been found. There are difficulties in finding inconsistencies in laws...

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Bibliographic Details
Main Author: Sukma Maftuhah, Tasya
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/35745
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Indonesia is a legal nation. The legal state in its implementation uses the law to regulate the life of the community, state, and run the government. Inconsistencies in the laws and regulations of the Republic of Indonesia have been found. There are difficulties in finding inconsistencies in laws and regulations. To assist in the process of finding inconsistent regulations, formal representation is needed so that legal regulations can be searched for inconsistently and searches for the concept of using a machine. Ontology representation is a formal representation of a set of concepts in the domainand the relationship between these concepts. Ontology consists of a set of vocabulary words that represent terms, classes, relations, functions, object constants which are determined based on agreed definitions in the form of text that can be read by humans and carried out by machine processing. In this study, ontology representation was chosen to represent legislation in the form of ontology so that the reasoning process can be carried out to find rules that are inconsistent and carried out the search process for concepts that exist in legislation using queries. The ontology representation is chosen because it has the concept of representation of subject, predicate, and object where the way of representation is similar to the arrangement of sentences in Indonesian. To represent regulations in the form of ontology, it is necessary to extract the concepts and general relations that exist in legislation and concepts and relations that only apply to certain laws and regulations. Extraction is done by doing POSTag and PhraseChunk in the rule norm sentence and then an ontology component is made from the results of the extraction of the norm sentence. General classes and relations are represented in the form of ID_OWL_LAW.