Temporal Semantics Extraction for Improving Web Search
Temporal Semantics Extraction for Improving Web Search
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DOI：
10.1109/dexa.2009.57
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发表时间：
2009-08
期刊：
影响因子：
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通讯作者：
Maria Teresa Vicente-Díez;Paloma Martínez
中科院分区：
文献类型：
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作者：
Maria Teresa Vicente-Díez;Paloma Martínez
目前的网络搜索引擎可以通过在查询表达和信息提取过程中都考虑时间维度的技术来改进。需要准确识别数据源中的时间表达式，并以标准格式提取与时间有关的语义嵌入的元信息，以便进行无歧义的推理。时态Web搜索在通向语义网的道路上取得了有趣的进展。我们提出了一个西班牙语内容的时间表达式识别和规范化(TERN)系统，该系统已经集成到一个Web搜索引擎原型中。该系统的贡献在于它能够独立于其表示来考虑用户查询以及搜索集合中的时间语义。评价数字表明，将时间信息管理能力纳入网络搜索意味着其性能有了相当大的改善。
Current Web-search engines can be improved through techniques that consider a temporal dimension in both query formulation and information extraction processes. An accurate recognition of temporal expressions in data sources is required, as well as extracting semantic embedded meta-information concerning time in a standard format that allows reasoning without ambiguity. Temporal Web searching entails an interesting advance on the way to the Semantic Web. We propose a temporal expressions recognition and normalization (TERN) system for contents in Spanish, which has been integrated into a Web-search engine prototype. The contribution of this system lies in its capability of taking into account the semantics of time in the user queries as well as in the search collections, independently of its representation. Evaluation figures show that the inclusion of temporal information management aptitudes to Web searching means considerable improvements in its performance.