Details
| Original language | English |
|---|---|
| Title of host publication | Semantic Desktop Workshop |
| Subtitle of host publication | Proceedings of the ISWC 2005 Workshop on The Semantic Desktop - Next Generation Information Management & Collaboration Infrastructure |
| Publication status | Published - 2005 |
| Event | Workshop on the Semantic Desktop - Next Generation Information Management and Collaboration Infrastructure, ISWC 2005 - Galway, Ireland Duration: 6 Nov 2005 → 6 Nov 2005 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR Workshop Proceedings |
| Volume | 175 |
| ISSN (Print) | 1613-0073 |
Abstract
Tasks and working scenarios on the desktop involve specific context information which is useful for finding relevant documents related to that context. Automating the process of retrieving and generating this context information is important to avoid time-consuming manual annotation not feasible in everyday work. This paper focuses on automatically extracting and integrating contextual information from web pages used in such working scenarios. The key observation is that in such scenarios we often use a set of web sites to get relevant information, implicitly syndicating their data into a coherent scenario specific information space. We show how these data can be extracted automatically from the web pages stored in local browser caches, based on appropriate query wrappers over these pages. These data are then combined into a task specific semantic view, building upon schema integration rules based on a global as view approach and view materialization, and transformed into RDF metadata for enhancing contex-tualized search on the desktop. We describe both the conceptual framework as well as our current prototype and conclude with a discussion of further research issues.
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
Cite this
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Semantic Desktop Workshop: Proceedings of the ISWC 2005 Workshop on The Semantic Desktop - Next Generation Information Management & Collaboration Infrastructure. 2005. 15 (CEUR Workshop Proceedings; Vol. 175).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Task specific semantic views
T2 - Workshop on the Semantic Desktop - Next Generation Information Management and Collaboration Infrastructure, ISWC 2005
AU - Ghita, Stefania
AU - Henze, Nicola
AU - Nejdl, Wolfgang
PY - 2005
Y1 - 2005
N2 - Tasks and working scenarios on the desktop involve specific context information which is useful for finding relevant documents related to that context. Automating the process of retrieving and generating this context information is important to avoid time-consuming manual annotation not feasible in everyday work. This paper focuses on automatically extracting and integrating contextual information from web pages used in such working scenarios. The key observation is that in such scenarios we often use a set of web sites to get relevant information, implicitly syndicating their data into a coherent scenario specific information space. We show how these data can be extracted automatically from the web pages stored in local browser caches, based on appropriate query wrappers over these pages. These data are then combined into a task specific semantic view, building upon schema integration rules based on a global as view approach and view materialization, and transformed into RDF metadata for enhancing contex-tualized search on the desktop. We describe both the conceptual framework as well as our current prototype and conclude with a discussion of further research issues.
AB - Tasks and working scenarios on the desktop involve specific context information which is useful for finding relevant documents related to that context. Automating the process of retrieving and generating this context information is important to avoid time-consuming manual annotation not feasible in everyday work. This paper focuses on automatically extracting and integrating contextual information from web pages used in such working scenarios. The key observation is that in such scenarios we often use a set of web sites to get relevant information, implicitly syndicating their data into a coherent scenario specific information space. We show how these data can be extracted automatically from the web pages stored in local browser caches, based on appropriate query wrappers over these pages. These data are then combined into a task specific semantic view, building upon schema integration rules based on a global as view approach and view materialization, and transformed into RDF metadata for enhancing contex-tualized search on the desktop. We describe both the conceptual framework as well as our current prototype and conclude with a discussion of further research issues.
UR - http://www.scopus.com/inward/record.url?scp=84883473765&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883473765
T3 - CEUR Workshop Proceedings
BT - Semantic Desktop Workshop
Y2 - 6 November 2005 through 6 November 2005
ER -