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https://dspace.ctu.edu.vn/jspui/handle/123456789/979
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DC Field | Value | Language |
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dc.contributor.author | Le, Cong Nga | - |
dc.contributor.author | Nguyen, Ngoc Tan | - |
dc.contributor.author | Pham, Cong Thien | - |
dc.contributor.author | Quan, Thanh Tho | - |
dc.date.accessioned | 2018-04-18T07:06:28Z | - |
dc.date.available | 2018-04-18T07:06:28Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://172.18.63.105/jspui/handle/123456789/979 | - |
dc.description.abstract | Applications which support finding paths to a certain destination have become common in traditional working platforms. As handheld devices are increasingly popular nowadays, an application supporting path finding on the smart devices (e.g. cell phone or tablet) would be very useful in daily activities. In the market, there are many mobile applications developed alongside this direction but most of solutions introduced rely heavily on keyword search methods. These methods often require users to type exactly the information for searching, which is quite time consuming and uncomfortable, especially on limited User Interface space of mobile devices. Moreover, users may receive some unexpected outputs due to the lack of accurate semantics information specified for input query. In this paper, we propose the method to query natural sentences, thus providing the ability to find the needed path with short natural phrases. A conceptual-graph-based formalism is used to represent knowledge in the database and query sentences. Our experimental results indicated promising achievements. | vi_VN |
dc.language.iso | en | vi_VN |
dc.relation.ispartofseries | Hội thảo toàn quốc về Công nghệ thông tin;Tr.93-100 | - |
dc.subject | Natural query processing | vi_VN |
dc.subject | Conceptual graph | vi_VN |
dc.subject | Mobile web application | vi_VN |
dc.subject | Geography information system | vi_VN |
dc.title | A Vietnamese mobile semantic path finder using cloud based database and conceptual graphs | vi_VN |
dc.type | Article | vi_VN |
Appears in Collections: | Năm 2017 |
Files in This Item:
File | Description | Size | Format | |
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_file_ | 1.66 MB | Adobe PDF | View/Open | |
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