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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.

我们提出了一种从万维网中自动提取术语描述的方法，并建立了一个名为“Cyclone”的Web搜索站点（http://cycbne.slis.tsukuba.ac.jp），用户可以在该站点上有效地获得针对特定词义的百科全书式术语描述。大约有75万个日语词汇被编入了关键词索引。然而，为了解释某些词首词，特别是那些与设备和动物等实体相关的词首词，除了文本描述外，提供实体的图片是有用的。手工制作的多媒体百科全书，如Encarta，集成文本、声音、用法和视频数据，从不同的角度描述单个词首词。然而;由于人工编纂的限制，现有的百科全书往往缺乏新术语和对现有术语的新定义。鉴于上述问题，本研究的目标是制作百科全书式的内容，为此我们对万维网和电视广播中的异构信息进行了重组。我们提出了一种集成Web上的图像和Cyclone中的文本描述的方法。我们的方法通过文本分析来解决图像意义上的任何歧义，从而使“hub（网络设备和车轮中心）”等多义词的图像使用词义进行分类。我们还提出了一种结合信息检索和语音识别技术的文本和视频信息关联方法。此外，为了跨语言关联信息，我们提出了词源化和音译方法。我们的研究是迈向多媒体百科全书自动编撰的一步。