SISTEM PENCARIAN INFORMASI BERBASIS ONTOLOGI UNTUK JALUR PENDAKIAN GUNUNG MENGGUNAKAN QUERY BAHASA ALAMI DENGAN PENYAJIAN PETA INTERAKTIF; INFORMATION RETRIEVAL SYSTEM BASED ON ONTOLOGY FOR MOUNTAIN CLIMBING TRACK USING NATURAL LANGUAGE QUERY WITH INTERACTIVE MAP PRESENTATION
Admojo, Fadhila T, Edi Winarko
2015 | Disertasi | FMIPA UGMIndonesian high public interest in mountain climbing activities led to the increasing need for mountain climbing tracks information. Literature of Indonesian mountain climbing tracks in the form of the book is very difficult to obtain, which make the Internet as a primary tool in getting information about mountaineering. Finding information about mountain hiking track on the internet raises a new problem among the climbers. The problem is, the search results are numerous and varied and thus require more time to browse and to compare any existing information. Other than that the amount of information that is obtained on the internet even confuse the climbers. This research aims to provide a solution to the problems faced by climbers, by developing an information retrieval system for mountain climbing track using ontology based approach . The system is developed by using two ontology. Ontology Bahasa as a linguistic knowledge representation and ontology Mountaineering as a representation of knowledge in mountaineering. The system is designed to perform a search of information with the ability to understand natural language input in the form of words, phrases, clauses and sentences. The process of natural language understanding based on syntactic analysis and semantic analysis using the rules of Indonesian grammar. The system is also equipped with the ability to present information from the search results into an interactive map. Base on the research that has been conducted, the system is able to understand natural language input both syntactically and semantically. The system is also capable of using thesaurus in the search process and detects the input that does not comply with the rules of Indonesian grammar. Quantitative test results show that the system can process 69% of inputs are taken at random from the respondents.
Kata Kunci : information retrieval, mountaineering, ontologies, semantic web; NLP; parsing; syntactic analysis; semantic analysis; KML parser; interactive maps.
