JP5393471B2 - 意味ネットワークにおけるノードの動的特性化 - Google Patents
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Description
本願は米国仮出願番号第60/857,560号、第60/857,570号、及び第60/857,583号の利益を請求する。その全てが2006年11月8日にGilburneらによって出願されており、それらの全開示が参照のために本明細書に全体として組み込まれる。
N=[x1 x2・・・ xn]
ここで、xの値は、ノードを特徴付けるノードの属性であり、従来の意味での座標点ではない。x1等の属性は、能動的又は受動的に収集される情報であり、1つ以上のノードと関連付けられている。各ノードは無限の量の属性と関連付けられるが、すべての属性が特定ノードの値を含むことができるというわけではない。これから説明する社会的学習ネットワークの実施形態に関連する属性のサブセットの一例は、人気度、時間、専門技術レベル、年齢、学年、現行の任務、教育レベル、内容、興味等を含む。ノードの属性は直接的に供給され又は間接的に得られてもよく、類似するノードの属性の分析若しくは既定ノードの属性の分析を介してなされ、少なくとも一部分は、他の情報をノードに関連づける目的のためである。例えば、ネットワーク内の他のノードは、特定の属性に対して推論される共通の属性を有してもよいし、或いは、ノードは他の多数のノードと関係を有していてもよい。その他の多数のノードにおいては、かかる相互関係自体が属性になり得る。属性値は動的であり、ネットワーク内の一つのノードと他のノードとの間の活動、相互関係、又はそれらの欠落に基づいて、更新される。この一連の動的な属性を使用してノード間の類似度を計算するために、ノードの属性はスカラー値として表される。すなわち、属性は、現行の例において、「性」の属性に対しては「男性」又は「女性」等の多くの非数値的な値によって定義される。これら非数値的な値はスカラー値として表され、現行の例において、例えば、「男性」は2の値を受けるものの、「女性」は3の値を受けるだろう。
|x1−x1|
によって表される。
第1のx1は、あるノードの属性に関するスカラー値を表しており、第2のx1は別のノードの類似属性のスカラー値を表している。
N1=[40歳、化学博士、碁、クラシック音楽を聴く、毎日インターネットを利用、5回勝ち、3ジャンル]
N2=[10歳、計算法を修了、スクラブル、バイオリンを演奏する、適度にインターネットを利用、0回勝利、7つのジャンル]
N3=[22歳、化学科の学生、碁、ロック音楽を聴く、適度にインターネットを利用、0回勝利、5つのジャンル]
N1=[40、143、5、11、5、3]
N2=[10、100、1、20、3、0、7]
N3=[22、125、5、6、3、0、5]
すべての参加者が同じジャンルの順序に従ってもよいので、各参加者が学習活動中の特定点に達するときに各参加者が提示される一連のジャンル関連情報及び活動があるであろう。例えば、ペンパルが読むべき本を受領した1週間後に方法のシステム操作部分は、「About the Book」ウェブページを調べるようにペンパルに指摘し、その「About the Book」ウェブページは典型実施形態においては現行のジャンルに関する詳細な情報を提供する。別の例として、学生がそれらペンパルの手紙を待っているとき、学生はジャンルに関係のある郊外学習に参加するよう要請される。
ペンパルペアの各々は自身のスケジュールを有し、本の選択日付、本の読書、並びにペンパルと学生との間の手紙の転送及び受領に応じて、個々の相互作用はフローするだろう。各ペンパルペアの相互作用には異なる時間がかかってもよい。ユーザがアクセスする度に利用可能な情報は固有であろう。なぜならば、システムは以下のことを反映しているからである。すなわち、ペンパル又は関係のある学生がどこで学習しているのかということ、及び、いかなる活動及びリソースが学生のペンパルに関して計画される次の相互作用に関係しているかということである。
それはシステムのペンパルペア同期部分に類似しているものの、システムの個々のペンパルペア同期部分は、個々のペンパルの経験と興味を反映するアイテム及び活動をも含むであろう。例えば、ペンパルがクロスワードパズルを定期的に完成する場合、ペンパルは、横断−共同体のクロスワードパズルの問題に参加するよう誘われる。システムは、他の類似するように位置付けられたペンパルの全てを発見するように構成され(例えば、同じジャンル、役割、ペンパルの書き込みプロセスの局面、クロスワードパズルの興味等)、一つの実施形態においては上述した方法を使用することによって参加者を「同期」する。
システムの共同体同期部分は、絶えず参加者を変更し、且つ参加者が共同体と対話するよう働きかける。この部分は世論調査、コンテスト、情報送信、並びに他のマルチメディア及び他のコンテンツを含む。上述した発見及び同期の方法を使用して、システムは、類似する人々の個々の属性若しくはクラスタ化又はノードに基づいて相互作用のために情報又は機会を提供するように構成されている。
Claims (11)
- ネットワークにおけるノードを同期させる方法であって、
a.複数のノードの属性に対して値を与えることにより、活動のための構造化された環境をコンピュータにより定義するステップと、
b.前記構造化された環境内にある複数ノードの相対的位置を前記コンピュータにより特定するステップと、
c.前記相対的位置に基づいて前記複数ノードを前記コンピュータにより同期させるステップと、
d.前記位置に基づいて前記コンピュータにより事象に対処するステップと
を含み、前記相対的位置の前記特定と前記同期は実時間を基準にせずに実行されることを特徴とする方法。 - 前記ノードの前記相対的位置の変化を考慮するために前記複数ノードを前記コンピュータにより再同期して、前記再同期に基づいて事象に対処するステップをさらに含むことを特徴とする請求項1に記載の方法。
- 複数ノードの相対的位置を特定する前記ステップは、継続的に生じて再同期を考慮することを特徴とする請求項1に記載の方法。
- ネットワークにおけるノードを同期させる方法であって、
a.複数のノードの属性に対して値を与えることにより、活動のための構造化された環境をコンピュータにより定義するステップと、
b.前記構造化された環境内にある複数ノードの相対的位置を前記コンピュータにより特定するステップと、
c.前記相対的位置に基づいて前記複数ノードを前記コンピュータにより同期させるステップと、
d.前記位置に基づいて前記コンピュータにより事象に対処するステップと
を含み、前記構造化された環境は前記ノードの1つ以上によって形成されることを特徴とする方法。 - 前記ノードの前記相対的位置の変化を考慮するために前記複数ノードを前記コンピュータにより再同期して、前記再同期に基づいて事象に対処するステップをさらに含むことを特徴とする請求項4に記載の方法。
- 複数ノードの相対的位置の前記特定は、継続的に生じて再同期を考慮することを特徴とする請求項4に記載の方法。
- ネットワークにおけるノードを同期させる方法であって、
a.複数のノードの属性に対して値を与えることにより、活動のための構造化された環境をコンピュータにより定義するステップと、
b.前記構造化された環境内にある複数の相互依存ノードの相対的位置を前記コンピュータにより特定するステップと、
c.前記相対的位置に基づいて前記複数ノードを前記コンピュータにより同期させるステップと、
d.前記複数の相互依存ノードの少なくとも1つの前記相対的位置の少なくとも1つが変化することを許容して、前記他の複数の相互依存ノードの少なくとも1つの前記相対的位置の少なくとも1つを前記コンピュータにより変化させるステップと、
e.前記位置に基づいて前記コンピュータにより事象に対処するステップと
を含むことを特徴とする方法。 - ネットワーク上のノードを同期させる方法であって、
a.前記ネットワーク上の複数ノードの位置から事象情報をコンピュータにより収集し、当該複数のノードの相対位置に基づき、実時間を基準とすることなく前記複数ノードを同期させるステップと、
b.前記収集された情報に基づいて、前記コンピュータにより類似の複数ノードを見つけることにより構造化された環境を見出すステップと、
c.前記類似の複数ノードを前記構造化された環境と前記コンピュータにより関連付けるステップと、
d.前記構造化された環境に基づいて前記類似の複数ノードに対して1つ以上の事象に前記コンピュータにより対処するステップと
を含むことを特徴とする方法。 - 対処された前記事象の少なくとも1つに基づいて複数ノードの共同体を前記コンピュータにより形成するステップをさらに含むことを特徴とする請求項8に記載の方法。
- 対処された事象の参加に基づいて複数ノードの共同体を前記コンピュータにより形成するステップをさらに含むことを特徴とする請求項8に記載の方法。
- 前記ノードに対応する一連の属性に基づいて前記ノード間の相対的距離を前記コンピュータにより計算するステップをさらに含むことを特徴とする請求項8に記載の方法。
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PCT/US2007/084189 WO2008073655A2 (en) | 2006-11-08 | 2007-11-08 | Dynamic characterization of nodes in a semantic network |
US11/937,495 US10547698B2 (en) | 2006-11-08 | 2007-11-08 | Dynamic characterization of nodes in a semantic network for desired functions such as search, discovery, matching, content delivery, and synchronization of activity and information |
US11/937,495 | 2007-11-08 |
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2013
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JP2010509872A (ja) | 2010-03-25 |
WO2008073655A2 (en) | 2008-06-19 |
EP2095264A4 (en) | 2013-03-27 |
JP5641617B2 (ja) | 2014-12-17 |
US10547698B2 (en) | 2020-01-28 |
US20170078421A1 (en) | 2017-03-16 |
US20170366633A1 (en) | 2017-12-21 |
US20140095619A1 (en) | 2014-04-03 |
WO2008073655A3 (en) | 2008-09-18 |
JP2013101634A (ja) | 2013-05-23 |
US10999383B2 (en) | 2021-05-04 |
US20090070490A1 (en) | 2009-03-12 |
EP2095264A2 (en) | 2009-09-02 |
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