Producing and Evaluating Encyclopedic Content by Reorganizing Heterogeneous Information

通过重组异构信息来生产和评估百科全书内容

基本信息

批准号：
17300028
负责人：
FUJII Atsushi
金额：
$ 6.5万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17300028/
关键词：
World Wide Web Encyclopedias Multimedia Natural language processing Information retrieval Speech recoenition User interfaces Content production コンテンツ構築

项目摘要

We proposed an automatic method to extract term descriptions from the World Wide Web and have built a Web search site called "Cyclone" (http://cycbne.slis.tsukuba.ac.jp), where users can efficiently obtain encyclopedic term descriptions fir specific word Senses. Approximately 750, 000 Japanese terms have been indexed as headwords. However, to explain certain headwords, specifically those related to entities such as devices and animals, it is useful to present a picture of the entity, in addition to a textual descriptionHand-crafted multimedia encyclopedias, such as Encarta, integrate ext, sound, usage, and video data to describe a single headword from different perspectives. However; due to the limitations of manual compilation, existing encyclopedias often lack new terms and new definitions for existing terms.In view of the above problem, the objective of this research was to produce encyclopedic content, for which we reorganized heterogeneous information in the World Wide Web and TV broadcasting. We proposed a method for integrating images on the Web and textual descriptions in Cyclone. Our method resolves any ambiguity in the meaning of an image by text analysis, so that images for a polysemous word, such as "hub (network device and center of wheel)", are classified using word senses. We also proposed a method to associate text and video information, for which we integrated information retrieval and speech recognition technologies. In addition, to associate information across languages, we proposed lemmatization and transliteration methods. Our research is a step toward the automatic compilation of multimedia encyclopedias.

我们提出了一种自动方法来从万维网中提取术语描述，并构建了一个名为“ Cyclone”（http://cycbne.slis.slis.tsukuba.ac.jp）的网站搜索网站，用户可以有效地获得百科全书术语描述for特定单词感官。大约750，000个日本术语被索引为头衔。但是，为了解释某些与设备和动物等实体相关的头词，除了具有文本描述手工制作的多媒体百科全书（例如Encycarta）之外，呈现该实体的图片，例如Encarta，Enctration Ext，Ext，Sext，Sound，用法和视频数据，从不同的角度来描述一个单个headwords，这很有用。然而;由于手动汇编的局限性，现有的百科全书通常缺乏现有术语的新术语和新定义。在上述问题上，这项研究的目的是生成百科全书内容，为此，我们在全球网络和电视广播中重新组织了异质性信息。我们提出了一种在网络上集成图像和旋风中文本描述的方法。我们的方法通过文本分析解决了图像含义的任何歧义，因此使用单词感官对多义单词的图像（例如“ Hub（网络设备和车轮））进行分类。我们还提出了一种将文本和视频信息关联的方法，为此我们集成了信息检索和语音识别技术。此外，为了关联跨语言的信息，我们提出了lemmatization和音译方法。我们的研究是迈向自动汇编多媒体百科全书的一步。