Personalizing Keyword Search on RDF Data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Personalizing Keyword Search on RDF Data

Published:2013 Issue: Volume: Page:272-278
ISSN:0302-9743
Container-title:Research and Advanced Technology for Digital Libraries
language:
Short-container-title:

Author:

Giannopoulos Giorgos,Biliri Evmorfia,Sellis Timos

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-40501-3_27

Reference13 articles.

1. Agichtein, E., Brill, E., Dumais, S.: Improving web search ranking by incorporating user behavior information. In: Proc. of the ACM SIGIR Conference (2006)

2. Joachims, T.: Optimizing search engines using clickthrough data. In: Proc. of the ACM SIGKDD Conference (2002)

3. Kim, J.-W., Candan, K.-S.: Skip-and-prune: cosine-based top-k query processing for efficient context-sensitive document retrieval. In: Proceedings of the ACM SIGMOD Conference (2009)

4. Qin, T., Zhang, X.-D., Wang, D.-S., Liu, T.-Y., Lai, W., Li, H.: Ranking with multiple hyperplanes. In: Proceedings of the ACM SIGIR Conference (2007)

5. Shen, X., Tan, B., Zhai, C.: Context-sensitive information retrieval using implicit feedback. In: Proceedings of the ACM SIGIR Conference (2005)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic Region Retrieval from Spatial RDF Data;Database Systems for Advanced Applications;2020

2. Top-k relevant semantic place retrieval on spatiotemporal RDF data;The VLDB Journal;2019-11-19

3. Personalized Keyword Search on Large RDF Graphs based on Pattern Graph Similarity;Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018;2018

4. Top-k Relevant Semantic Place Retrieval on Spatial RDF Data;Proceedings of the 2016 International Conference on Management of Data;2016-06-26

5. Keyword Search on RDF Graphs: It Is More Than Just Searching for Keywords;The Semantic Web: ESWC 2015 Satellite Events;2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3