書誌事項
- タイトル別名
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- Finding Specification Pages from the Web
- Web カラ ノ ゾクセイ ジョウホウ キジュツ ページ ノ ハッケン
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抄録
This paper presents a method of finding a specification page on the Web for a given object (e.g., ``Ch. d'Yquem'') and its class label (e.g., ``wine''). A specification page for an object is a Web page which gives concise attribute-value information about the object (e.g., ``county''-``Sauternes'') in well formatted structures. A simple unsupervised method using layout and symbolic decoration cues was applied to a large number of the Web pages to acquire candidate attributes for each class (e.g., ``county'' for a class ``wine''). We then filter out irrelevant words from the putative attributes through an author-aware scoring function that we called site frequency. We used the acquired attributes to select a representative specification page for a given object from the Web pages retrieved by a normal search engine. Experimental results revealed that our system greatly outperformed the normal search engine in terms of this specification retrieval.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 21 (6), 493-501, 2006
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390001205109005952
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- NII論文ID
- 10022006788
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- NII書誌ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL書誌ID
- 8686576
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可