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          <dc:title>基本情報技術者試験の正誤解答キーワードへのWikipediaのリンク構造の関連度計算の応用</dc:title>
          <dc:title xml:lang="en">Computing Semantic Relatedness between Right Answer and Distracters of Fundamental Information Technology Engineer Examination Based on the Link Structure of Wikipedia</dc:title>
          <dcterms:alternative>キホン ジョウホウ ギジュツシャ シケン ノ セイゴ カイトウ キーワード エノ Wikipedia ノ リンク コウゾウ ノ カンレンド ケイサン ノ オウヨウ</dcterms:alternative>
          <jpcoar:creator>
            <jpcoar:creatorName>蔡, 帅</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>菅, 亮太</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>史, 一華</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>徐, 海燕</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">Semantic relatedness</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Wikipedia</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Link structure</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Relational database</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">Semantic relatedness</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">Wikipedia</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">Link structure</jpcoar:subject>
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          <datacite:description descriptionType="Other">With the spread of WWW,Wikipedia, a collaborative Web-based encyclopedia, has been published. In order to make use of the huge data of Wikipedia,we calculate semantic relatedness between right answer and distracters of 33 selected questions of Fundamental Information Technology Engineer Examination based on the link structure of Wikipedia. With Wikipedia API and Google API we resolve the nonexistent pages and ambiguous pages problems. We also propose the method to differentiate the semantic relatedness between right answer and distracters in the same category. Calculations are carried out through Wikipedia API and MySQL database.</datacite:description>
          <dc:publisher>福岡工業大学</dc:publisher>
          <datacite:date dateType="Issued">2012-09</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">departmental bulletin paper</dc:type>
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          <jpcoar:identifier identifierType="HDL">http://hdl.handle.net/11478/1275</jpcoar:identifier>
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          <jpcoar:sourceIdentifier identifierType="ISSN">02876620</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10036974</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>福岡工業大学研究論集</jpcoar:sourceTitle>
          <jpcoar:volume>45</jpcoar:volume>
          <jpcoar:issue>1</jpcoar:issue>
          <jpcoar:pageStart>1</jpcoar:pageStart>
          <jpcoar:pageEnd>8</jpcoar:pageEnd>
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