X-web: A data model for managing personal contents based on user experiences

Taketoshi Ushiama, Toyohide Watanabe

研究成果: 著書/レポートタイプへの貢献会議での発言

抄録

In this paper, we propose the X-Web (eXperience-Web) data model, which supports users to manage various types of personal contents in a unified manner based on their contextual information. The X-Web data model consists of three kinds of modeling units: contents, experiences, and persons, and the context of personal contents are expressed as experiences. Units are classified into containers, and a ranking function is defined between two containers. Combinations of ranking functions can represent various requirements for searching and recommending personal contents.

元の言語英語
ホスト出版物のタイトルKnowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
ページ798-805
ページ数8
5178 LNAI
エディションPART 2
DOI
出版物ステータス出版済み - 2008
イベント12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, クロアチア
継続期間: 9 3 20089 5 2008

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
5178 LNAI
ISSN(印刷物)03029743
ISSN(電子版)16113349

その他

その他12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
クロアチア
Zagreb
期間9/3/089/5/08

Fingerprint

User Experience
Data Model
Containers
Data structures
Ranking Function
Container
Unit
Person
Requirements
Modeling
Experience

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

これを引用

Ushiama, T., & Watanabe, T. (2008). X-web: A data model for managing personal contents based on user experiences. : Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings (PART 2 版, 巻 5178 LNAI, pp. 798-805). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5178 LNAI, 番号 PART 2). https://doi.org/10.1007/978-3-540-85565-1-99

X-web : A data model for managing personal contents based on user experiences. / Ushiama, Taketoshi; Watanabe, Toyohide.

Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. 巻 5178 LNAI PART 2. 編 2008. p. 798-805 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 5178 LNAI, 番号 PART 2).

研究成果: 著書/レポートタイプへの貢献会議での発言

Ushiama, T & Watanabe, T 2008, X-web: A data model for managing personal contents based on user experiences. : Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 2 Edn, 巻. 5178 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 番号 PART 2, 巻. 5178 LNAI, pp. 798-805, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, Zagreb, クロアチア, 9/3/08. https://doi.org/10.1007/978-3-540-85565-1-99
Ushiama T, Watanabe T. X-web: A data model for managing personal contents based on user experiences. : Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 2 版 巻 5178 LNAI. 2008. p. 798-805. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-540-85565-1-99
Ushiama, Taketoshi ; Watanabe, Toyohide. / X-web : A data model for managing personal contents based on user experiences. Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. 巻 5178 LNAI PART 2. 版 2008. pp. 798-805 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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