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INFORMATION RETRIEVAL SYSTEM FOR DRUG DESCRIPTIONS

NATTAPON CHONGCHAROENMANEEKUN   4988027  ITCS/B
PATCHARAKAMOL  KAYUNKIJ                                    4988064  ITCS/B
PAVINEE  PANKITCHAROEN                             4988112  ITCS/B

B.Sc.(INFORMATION AND COMMUNICATION TECHNOLOGY)

PROJECT ADVISOR: ASSOC. PROF. DR. DAMRAS WONGSAWANG

ABSTRACT

Nowadays information retrieval on website is widely used and it is increasing rapidly every year. Due to the practical usage and efficiency, this kind of information retrieval is very popular for many applications. Especially, information retrieval of documents such as books, research, news, and public health, are among the most commonly used. For public health, the information retrieval (IR) of drug description is one of the most important applications to provide the useful information. However, the IR system for drug description has not been well developed yet. In this project, we present the information retrieval system for the drug descriptions. This IR system provides users many types of queries that related to their symptoms, e.g., single keyword search, multiple keywords search, phrase or string search. The retrieval process starts from user’s input query, follows by classifying the query according to the searching techniques. After that the input query will be parsed into a sequence of words by word segmentation processing, and drops the stopwords that have no meaning for searching. The next process is to compare these words with the index terms, important words of documents. After the completion of all processes, the system will retrieve the relevant documents that match the user’s input query. In addition, for easy document selection for browsing, all retrieved documents will be ranked by their similarity with the query. Top ranked documents will be the expected documents in which the matching is found. From the experiments, we found that the IR system developed provides satisfactory retrieval performance. It can achieve very high precision and recall. 

KEYWORDS: INFORMATION RETRIEVAL, TEXT RETRIEVAL, INFORMATION            SEARCHING, INDEXING, BOOLEAN QUERY, STRING MATCHING

 

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