| Item type |
学位論文 / Thesis or Dissertation(1) |
| 公開日 |
2010-06-09 |
| タイトル |
|
|
タイトル |
Creating and Sharing Structured Semantic Web Contents through the Social Web |
| タイトル |
|
|
タイトル |
Creating and Sharing Structured Semantic Web Contents through the Social Web |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_46ec |
|
資源タイプ |
thesis |
| 著者名 |
Shakya, Aman
|
| フリガナ |
シャクヤ, アマン
|
| 著者 |
SHAKYA, Aman
|
| 学位授与機関 |
|
|
|
学位授与機関名 |
総合研究大学院大学 |
| 学位名 |
|
|
学位名 |
博士（情報学） |
| 学位記番号 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
総研大甲第1290号 |
| 研究科 |
|
|
値 |
複合科学研究科 |
| 専攻 |
|
|
値 |
17 情報学専攻 |
| 学位授与年月日 |
|
|
学位授与年月日 |
2009-09-30 |
| 学位授与年度 |
|
|
値 |
2009 |
| 要旨 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Sharing of information is important for its utilization to full potential. Information should be published with understandable semantics so that it can be used by others. It should also be accessible and properly disseminated. The Semantic Web provides structure and semantics to data making it machine understandable. The social web has made it easy for people to publish information online. It also enables collaboration and facilitates information dissemination by connecting people. These two areas complement each other to form a social Semantic Web. This is a highly promising direction but poses some major challenges.<br /> The first challenge is to have people publish structured data on the social Semantic Web. Some specific problems for this are as follows. Systems for publishing structured data on the Semantic Web are complex and have considerable learning curve for people. It is also difficult for people to contribute due to strict constraints imposed by such systems. The second challenge is to form the models, so called ontologies, required to structure data with understandable semantics. People have a wide variety of data to share but there are limited ontologies and creating ontologies is difficult. Some specific problems for this dealt by the thesis are as follows. It is difficult to create perfect concept definitions to model things. It is not easy to cover the evolving requirements of all people. Moreover, different people may have multiple conceptualizations for the same thing due to different perspectives and contexts. It is not always possible to have consensus over conceptualizations and the collaborative process is itself difficult. Finally, proper dissemination of structured data on the web is also challenging. Information dissemination is mostly happening in a centralized and static way. There is a lack of flow of relevant structured information among people.<br /> The thesis proposes some solutions to the specific problems. It proposes enabling people to contribute structured data by providing an easy-to-use social platform. It proposes allowing users to define their own concepts and freely contribute various types of data through a flexible and relaxed interface. Concepts contributed by people are partial definitions from their own perspective and multiple conceptualizations are allowed. These can be consolidated to form a rich unified conceptualization. This is possible by semi-automatic techniques for data integration and schema alignment supported by the community. A formalization of concept consolidation is also presented in the thesis. This serves as a loose collaborative approach that does not enforce consensus direct interaction. Further, concepts can be semi-automatically grouped and organized by similarity. As a result of consolidation and grouping, informal lightweight ontologies gradually emerge in a bottom-up way. A system called StYLiD has been implemented to realize the proposed approach.<br /> The thesis also proposes a decentralized approach for disseminating structured data in communities. Relevant information can be aggregated through socially linked sources. This has been demonstrated experimentally. By combining the capabilities of publishing and aggregating, proper flow of information can be maintained in the community. A semantic blogging system called SocioBiblog has been implemented to demonstrate this for the bibliographic domain.<br /> Experimental evaluations have been done to test the usability of StYLiD. Experimental studies have also been done to observe the multiple conceptualizations done by people and to verify that such conceptualizations can be consolidated. Methods used for concept consolidation and grouping have also been experimentally tested with some real data. The applicability and significance of the proposed approach has also been demonstrated by some real practical applications. |
| 所蔵 |
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|
値 |
有 |
要旨・審査要旨 (405.1 kB)
