Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol

Increasing demand in retrieving information with geographic reference has challenged scholars to conduct studies in producing efficient method in retrievingspatial data and evaluating web-based geographic information system (GIS) on the internet, also known as web-based GIS. Tourist relies on maps t...

Full description

Bibliographic Details
Main Author: Zainol, Rosilawati
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/5515/
http://ir.uitm.edu.my/id/eprint/5515/1/TP_ROSILAWATI%20ZAINOL%20CS%2010_5%201.pdf
id uitm-5515
recordtype eprints
spelling uitm-55152016-11-26T08:12:46Z http://ir.uitm.edu.my/id/eprint/5515/ Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol Zainol, Rosilawati Travel and state. Tourism Geographic information systems Development. UML (Computer science) Increasing demand in retrieving information with geographic reference has challenged scholars to conduct studies in producing efficient method in retrievingspatial data and evaluating web-based geographic information system (GIS) on the internet, also known as web-based GIS. Tourist relies on maps throughout his visits in order to fulfil his information needs. Online maps with geographic information system (GIS) capabilities that are able to cater for tourist's spatial needs are few on the internet. Therefore, this research's objectives are to examine online map preferences by Malaysians, to evaluate the current online GIS maps capabilities, and to discover an efficient method to retrieve spatial information required by tourist. In order to achieve these objectives, tourist's spatial information databases of Shah Alam City Centre, Kuala Lumpur Golden Triangle and Taiping Historical Town Centre are developed. Furthermore, since spatial data are stored in separate layers according to their features: point, polyline and polygon, gazetteer method is found to be the most suitable method of handling query of this data type. Therefore, exact match and partial match keyword queries are used. Query lists are collected from surveys. A survey on online map preference is carried out among 489 Malaysians in Klang Valley to determine their preferences in conducting online search on spatialinformation. This survey contributes to the collection of query lists and relevant judgment. In addition, relevant judgment is also derived from interviews. Four experiments were carried out using all test collections. First experiment examines query using GoogleMaps Malaysia. The second experiment examines query by using the original Super WebGIS 2.1. The third experiment examines query using enhanced Super WebGIS 2.1 by case insensitivity and layer filtration. Finally, the fourth experiment examines query using enhanced Super WebGIS 2.1 by query expansion and the combination of the third technique. Results show that combination of query expansion, case insensitivity and layer filtration technique yields 70% better results than using case insensitivity and layer filtration alone and 98% better than without using any of the three. The combination of these experiments has produced a system named MuSafIR (Musafir Spatial Information Retrieval). 2010 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/5515/1/TP_ROSILAWATI%20ZAINOL%20CS%2010_5%201.pdf Zainol, Rosilawati (2010) Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol. PhD thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Travel and state. Tourism
Geographic information systems
Development. UML (Computer science)
spellingShingle Travel and state. Tourism
Geographic information systems
Development. UML (Computer science)
Zainol, Rosilawati
Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol
description Increasing demand in retrieving information with geographic reference has challenged scholars to conduct studies in producing efficient method in retrievingspatial data and evaluating web-based geographic information system (GIS) on the internet, also known as web-based GIS. Tourist relies on maps throughout his visits in order to fulfil his information needs. Online maps with geographic information system (GIS) capabilities that are able to cater for tourist's spatial needs are few on the internet. Therefore, this research's objectives are to examine online map preferences by Malaysians, to evaluate the current online GIS maps capabilities, and to discover an efficient method to retrieve spatial information required by tourist. In order to achieve these objectives, tourist's spatial information databases of Shah Alam City Centre, Kuala Lumpur Golden Triangle and Taiping Historical Town Centre are developed. Furthermore, since spatial data are stored in separate layers according to their features: point, polyline and polygon, gazetteer method is found to be the most suitable method of handling query of this data type. Therefore, exact match and partial match keyword queries are used. Query lists are collected from surveys. A survey on online map preference is carried out among 489 Malaysians in Klang Valley to determine their preferences in conducting online search on spatialinformation. This survey contributes to the collection of query lists and relevant judgment. In addition, relevant judgment is also derived from interviews. Four experiments were carried out using all test collections. First experiment examines query using GoogleMaps Malaysia. The second experiment examines query by using the original Super WebGIS 2.1. The third experiment examines query using enhanced Super WebGIS 2.1 by case insensitivity and layer filtration. Finally, the fourth experiment examines query using enhanced Super WebGIS 2.1 by query expansion and the combination of the third technique. Results show that combination of query expansion, case insensitivity and layer filtration technique yields 70% better results than using case insensitivity and layer filtration alone and 98% better than without using any of the three. The combination of these experiments has produced a system named MuSafIR (Musafir Spatial Information Retrieval).
format Thesis
author Zainol, Rosilawati
author_facet Zainol, Rosilawati
author_sort Zainol, Rosilawati
title Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol
title_short Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol
title_full Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol
title_fullStr Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol
title_full_unstemmed Query expansion and layers filtration in tourist spatial information retrieval / Rosilawati Zainol
title_sort query expansion and layers filtration in tourist spatial information retrieval / rosilawati zainol
publishDate 2010
url http://ir.uitm.edu.my/id/eprint/5515/
http://ir.uitm.edu.my/id/eprint/5515/1/TP_ROSILAWATI%20ZAINOL%20CS%2010_5%201.pdf
first_indexed 2023-09-18T22:47:09Z
last_indexed 2023-09-18T22:47:09Z
_version_ 1777417301166915584