首页> 外文会议>Focused Access to XML Documents >Indian Statistical Institute at INEX 2007 Adhoc Track: VSM Approach
【24h】

Indian Statistical Institute at INEX 2007 Adhoc Track: VSM Approach

机译:印度统计研究所参加INEX 2007临时会议:VSM方法

获取原文
获取原文并翻译 | 示例

摘要

This paper describes the work that we did at Indian Statistical Institute towards XML retrieval for INEX 2007. As a continuation of our INEX 2006 work, we applied the Vector Space Model and enhanced our text retrieval system (SMART) to retrieve XML elements against the INEX Adhoc queries. Like last year, we considered Content-Only(CO) queries and submitted two runs for the FOCUSED sub-task. The baseline run does retrieval at the document level; for the second run, we submitted our first attempt at element level retrieval. This run uses a very naive approach and performs poorly, but the relative performance of the baseline run was fairly encouraging. After the official submissions, we conducted a few more experiments involving both document-level and element-level retrieval. These additional runs yield some improvements in retrieval effectiveness. We report the results of those runs in this paper. Though our document-level runs are promising, the element-level runs are still far from satisfactory. Our next step will be to explore ways to improve element-level retrieval.
机译:本文介绍了我们在印度统计局针对INEX 2007进行XML检索所做的工作。作为INEX 2006工作的延续,我们应用了向量空间模型并增强了文本检索系统(SMART)以针对INEX检索XML元素临时查询。与去年一样,我们考虑了仅内容查询(CO),并为FOCUSED子任务提交了两次运行。基线运行在文档级别进行检索;对于第二次运行,我们提交了第一次尝试进行元素级检索。此运行使用的是非常幼稚的方法,并且效果较差,但是基线运行的相对性能相当令人鼓舞。在正式提交之后,我们进行了一些涉及文档级和元素级检索的实验。这些额外的运行可以提高检索效率。我们在本文中报告了这些运行的结果。尽管我们的文档级运行很有希望,但是元素级运行仍然远远不能令人满意。我们的下一步将是探索改善元素级检索的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号