Deep Web new data discovery strategy based on the graph model of data attribute value lists
A novel deep Web data discovery strategy was proposed for new generated data record in resources.In the ap-proach,a new graph model of deep Web data attribute value lists was used to indicate the deep Web data source,an new data crawling task was transformed into a graph traversal process.This model...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2016-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016049/ |
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| _version_ | 1841539608292098048 |
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| author | Zhi-ming CUI Peng-peng ZHAO Xue-feng XIAN Li-gang FANG Yuan-feng YANG Cai-dong GU |
| author_facet | Zhi-ming CUI Peng-peng ZHAO Xue-feng XIAN Li-gang FANG Yuan-feng YANG Cai-dong GU |
| author_sort | Zhi-ming CUI |
| collection | DOAJ |
| description | A novel deep Web data discovery strategy was proposed for new generated data record in resources.In the ap-proach,a new graph model of deep Web data attribute value lists was used to indicate the deep Web data source,an new data crawling task was transformed into a graph traversal process.This model was only related to the data,compared with the ex-isting query-related graph model had better adaptability and certainty,applicable to contain only a simple query interface of deep Web data sources.Based on this model,which could discovery incremental nodes and predict new data mutual infor-mation was used to compute the dependencies between nodes.When the query selects,as much as possible to reduce the negative impact brought by the query-dependent.This strategy improves the data crawling efficiency.Experimental results show that this strategy could maximize the synchronization between local and remote data under the same restriction. |
| format | Article |
| id | doaj-art-c0a3129e687a4b19987368efc3bd7501 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c0a3129e687a4b19987368efc3bd75012025-01-14T06:54:59ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-03-0137203259699622Deep Web new data discovery strategy based on the graph model of data attribute value listsZhi-ming CUIPeng-peng ZHAOXue-feng XIANLi-gang FANGYuan-feng YANGCai-dong GUA novel deep Web data discovery strategy was proposed for new generated data record in resources.In the ap-proach,a new graph model of deep Web data attribute value lists was used to indicate the deep Web data source,an new data crawling task was transformed into a graph traversal process.This model was only related to the data,compared with the ex-isting query-related graph model had better adaptability and certainty,applicable to contain only a simple query interface of deep Web data sources.Based on this model,which could discovery incremental nodes and predict new data mutual infor-mation was used to compute the dependencies between nodes.When the query selects,as much as possible to reduce the negative impact brought by the query-dependent.This strategy improves the data crawling efficiency.Experimental results show that this strategy could maximize the synchronization between local and remote data under the same restriction.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016049/deep Webnew data discoverydata acquisition |
| spellingShingle | Zhi-ming CUI Peng-peng ZHAO Xue-feng XIAN Li-gang FANG Yuan-feng YANG Cai-dong GU Deep Web new data discovery strategy based on the graph model of data attribute value lists Tongxin xuebao deep Web new data discovery data acquisition |
| title | Deep Web new data discovery strategy based on the graph model of data attribute value lists |
| title_full | Deep Web new data discovery strategy based on the graph model of data attribute value lists |
| title_fullStr | Deep Web new data discovery strategy based on the graph model of data attribute value lists |
| title_full_unstemmed | Deep Web new data discovery strategy based on the graph model of data attribute value lists |
| title_short | Deep Web new data discovery strategy based on the graph model of data attribute value lists |
| title_sort | deep web new data discovery strategy based on the graph model of data attribute value lists |
| topic | deep Web new data discovery data acquisition |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016049/ |
| work_keys_str_mv | AT zhimingcui deepwebnewdatadiscoverystrategybasedonthegraphmodelofdataattributevaluelists AT pengpengzhao deepwebnewdatadiscoverystrategybasedonthegraphmodelofdataattributevaluelists AT xuefengxian deepwebnewdatadiscoverystrategybasedonthegraphmodelofdataattributevaluelists AT ligangfang deepwebnewdatadiscoverystrategybasedonthegraphmodelofdataattributevaluelists AT yuanfengyang deepwebnewdatadiscoverystrategybasedonthegraphmodelofdataattributevaluelists AT caidonggu deepwebnewdatadiscoverystrategybasedonthegraphmodelofdataattributevaluelists |