Semantic recommendation using linked open data by property analysis

碩士 === 國立高雄大學 === 資訊管理學系碩士班 === 103 === Issues on open data have attracted lots of attention from researchers and practitioners of various areas. Besides simply publicizing the data, linked open data (LOD) provide excessive information on relations among data items. Such relations can be used to fur...

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Bibliographic Details
Main Authors:	Chia-chi Hsu, 許家齊
Other Authors:	Hsin-chang Yang
Format:	Others
Language:	zh-TW
Published:	2015
Online Access:	http://ndltd.ncl.edu.tw/handle/54200777933673308554

id	ndltd-TW-103NUK05396017
record_format	oai_dc
spelling	ndltd-TW-103NUK053960172017-10-29T04:34:48Z http://ndltd.ncl.edu.tw/handle/54200777933673308554 Semantic recommendation using linked open data by property analysis 運用鏈結開放資料於推薦機制之研究 Chia-chi Hsu 許家齊碩士國立高雄大學資訊管理學系碩士班 103 Issues on open data have attracted lots of attention from researchers and practitioners of various areas. Besides simply publicizing the data, linked open data (LOD) provide excessive information on relations among data items. Such relations can be used to furniture various tasks for possible performance improvement. In this work, we try to suggest an approach which incorporates semantic information provided through the links in LOD for resource recommendation. Experiments are undergoing on movie recommendation task. We expect that the proposed method can effectively improve the performance on similar tasks. Hsin-chang Yang 楊新章 2015 學位論文 ; thesis 47 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立高雄大學 === 資訊管理學系碩士班 === 103 === Issues on open data have attracted lots of attention from researchers and practitioners of various areas. Besides simply publicizing the data, linked open data (LOD) provide excessive information on relations among data items. Such relations can be used to furniture various tasks for possible performance improvement. In this work, we try to suggest an approach which incorporates semantic information provided through the links in LOD for resource recommendation. Experiments are undergoing on movie recommendation task. We expect that the proposed method can effectively improve the performance on similar tasks.
author2	Hsin-chang Yang
author_facet	Hsin-chang Yang Chia-chi Hsu 許家齊
author	Chia-chi Hsu 許家齊
spellingShingle	Chia-chi Hsu 許家齊 Semantic recommendation using linked open data by property analysis
author_sort	Chia-chi Hsu
title	Semantic recommendation using linked open data by property analysis
title_short	Semantic recommendation using linked open data by property analysis
title_full	Semantic recommendation using linked open data by property analysis
title_fullStr	Semantic recommendation using linked open data by property analysis
title_full_unstemmed	Semantic recommendation using linked open data by property analysis
title_sort	semantic recommendation using linked open data by property analysis
publishDate	2015
url	http://ndltd.ncl.edu.tw/handle/54200777933673308554
work_keys_str_mv	AT chiachihsu semanticrecommendationusinglinkedopendatabypropertyanalysis AT xǔjiāqí semanticrecommendationusinglinkedopendatabypropertyanalysis AT chiachihsu yùnyòngliànjiékāifàngzīliàoyútuījiànjīzhìzhīyánjiū AT xǔjiāqí yùnyòngliànjiékāifàngzīliàoyútuījiànjīzhìzhīyánjiū
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Semantic recommendation using linked open data by property analysis

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