Analysis and Semantic Mining in Heterogeneous Information Network
Heterogeneous information network（HIN），which is composed of different types of objects and links，has gradually become a hot topic in social network analysis.As a unique characteristic of HIN，meta path contains rich semantic information.Heterogeneous information network with values on links are ubiqu...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2015-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015166/ |
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| _version_ | 1841529591240327168 |
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| author | Rui Wang Zhiqiang Zhang Chuan Shi |
| author_facet | Rui Wang Zhiqiang Zhang Chuan Shi |
| author_sort | Rui Wang |
| collection | DOAJ |
| description | Heterogeneous information network（HIN），which is composed of different types of objects and links，has gradually become a hot topic in social network analysis.As a unique characteristic of HIN，meta path contains rich semantic information.Heterogeneous information network with values on links are ubiquitous in real world.Therefore，the traditional meta path，which doesn’t consider weight on links，can not exactly capture semantics in many cases.Related concepts of HIN were introduced and a brief introduction of applications of HIN was given.Then subtle semantic information in HIN was explored by extending the traditional meta path to weighted meta path.Experiments on two real data sets demonstrate the applications of the weighted meta path in recommendation，relevance search. |
| format | Article |
| id | doaj-art-1f6ae3d6bdd54f3ab24a6cece5dc227b |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2015-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-1f6ae3d6bdd54f3ab24a6cece5dc227b2025-01-15T03:16:59ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-07-0131435159614687Analysis and Semantic Mining in Heterogeneous Information NetworkRui WangZhiqiang ZhangChuan ShiHeterogeneous information network（HIN），which is composed of different types of objects and links，has gradually become a hot topic in social network analysis.As a unique characteristic of HIN，meta path contains rich semantic information.Heterogeneous information network with values on links are ubiquitous in real world.Therefore，the traditional meta path，which doesn’t consider weight on links，can not exactly capture semantics in many cases.Related concepts of HIN were introduced and a brief introduction of applications of HIN was given.Then subtle semantic information in HIN was explored by extending the traditional meta path to weighted meta path.Experiments on two real data sets demonstrate the applications of the weighted meta path in recommendation，relevance search.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015166/heterogeneous information networkmeta pathrelevance searchrecommendation |
| spellingShingle | Rui Wang Zhiqiang Zhang Chuan Shi Analysis and Semantic Mining in Heterogeneous Information Network Dianxin kexue heterogeneous information network meta path relevance search recommendation |
| title | Analysis and Semantic Mining in Heterogeneous Information Network |
| title_full | Analysis and Semantic Mining in Heterogeneous Information Network |
| title_fullStr | Analysis and Semantic Mining in Heterogeneous Information Network |
| title_full_unstemmed | Analysis and Semantic Mining in Heterogeneous Information Network |
| title_short | Analysis and Semantic Mining in Heterogeneous Information Network |
| title_sort | analysis and semantic mining in heterogeneous information network |
| topic | heterogeneous information network meta path relevance search recommendation |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015166/ |
| work_keys_str_mv | AT ruiwang analysisandsemanticmininginheterogeneousinformationnetwork AT zhiqiangzhang analysisandsemanticmininginheterogeneousinformationnetwork AT chuanshi analysisandsemanticmininginheterogeneousinformationnetwork |