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        <datestamp>2025-01-22T23:19:53Z</datestamp>
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          <dc:title>専門領域ドキュメント群を対象とした意味的連想検索空間の生成方式</dc:title>
          <dc:title xml:lang="en">A Generation Method of Semantic Associative Search Spaces for Domain-specific Documents</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>河本, 穣</jpcoar:creatorName>
            <jpcoar:creatorName>清木, 康</jpcoar:creatorName>
            <jpcoar:creatorName>藤島, 清太郎</jpcoar:creatorName>
            <jpcoar:creatorName>相磯, 貞和</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Minoru, Kawamoto</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Yasushi, Kiyoki</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Seitaro, Fujishima</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Sadakazu, Aiso</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">研究論文</jpcoar:subject>
          <datacite:description descriptionType="Other">本論文では，ベクトル空間上の特徴に関してのメタ知識を用いた意味的連想検索空間群の生成方式を提案する．本方式は，特定の専門領域を対象とした意味的連想検索の実現を目的として，すでに提案されている意味的連想検索方式を対象とし，語彙の専門性や語彙が属する対象分野のサブ領域（専門領域内におけるより細部の領域）に応じて分割し，意味的連想検索空間を生成する方式である．本方式は，幅広い観点にわたって体系的に整理された知識を用いる専門領域を対象とし，多様な利用目的に合致したドキュメント群の獲得を実現する空間の生成を可能とする．医学分野のドキュメントを対象とした検索実験により，本方式の有効性と実現可能性を示す．</datacite:description>
          <datacite:description descriptionType="Other">In this paper, we present a generation method of semantic associative search spaces for domain-specific research areas. In this method, semantic associative search spaces are created by separating a whole space into several sub-spaces by using meta-knowledge about feature words. The feature of our method is to realize several semantic associative search spaces by splitting a domain-wide search space into several application-wide search spaces. We have implemented a semantic associative search environment for domain-specific documents reflecting on application categories and significance of the feature words. We have performed several experiments by retrieving medical terms and medical documents in order to evaluate the feasibility and effectiveness of our method.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2006-12-15</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">journal article</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/17456</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="ISSN">1882-7799</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA11464847</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会論文誌データベース（TOD）</jpcoar:sourceTitle>
          <jpcoar:volume>47</jpcoar:volume>
          <jpcoar:issue>SIG19(TOD32)</jpcoar:issue>
          <jpcoar:pageStart>113</jpcoar:pageStart>
          <jpcoar:pageEnd>126</jpcoar:pageEnd>
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            <jpcoar:URI>https://ipsj.ixsq.nii.ac.jp/record/17456/files/IPSJ-TOD4719010.pdf</jpcoar:URI>
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            <datacite:date dateType="Available">2008-12-15</datacite:date>
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