Details
| Original language | English |
|---|---|
| Title of host publication | WWW '22 |
| Subtitle of host publication | Companion Proceedings of the Web Conference 2022 |
| Pages | 329-333 |
| Number of pages | 5 |
| ISBN (electronic) | 9781450391306 |
| Publication status | Published - 16 Aug 2022 |
| Event | 31st ACM Web Conference, WWW 2022 - Virtual, Online, France Duration: 25 Apr 2022 → 29 Apr 2022 |
Publication series
| Name | Companion Proceedings of the Web Conference 2022 |
|---|
Abstract
Events such as terrorist attacks and Brexit play an important role in the research of social scientists and Digital Humanities researchers. They need innovative user access models to event-centric information which support them throughout their research. Current access models such as recommendation and information retrieval methods often fail to adequately capture essential features of events and provide acceptable access to event-centric information. This PhD research aims to develop efficient and effective user access models to event-centric information by leveraging well-structured information in Knowledge Graphs. The goal is to tackle the challenges researchers encounter during their research in a workflow, from exploratory search to accessing well-defined and complete information collections. This paper presents the specific research questions and presents the approach and preliminary results.
Keywords
- entity recommendation, event collection, information retrieval, knowledge graphs
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Software
Sustainable Development Goals
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WWW '22: Companion Proceedings of the Web Conference 2022. 2022. p. 329-333 (Companion Proceedings of the Web Conference 2022).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - User Access Models to Event-Centric Information
AU - Abdollahi, Sara
N1 - Funding Information: I would like to thank my supervisors, Prof. Wolfgang Nejdl, Prof. Elena Demidova and Dr. Simon Gottschalk, for their valuable support in the realization of this work. This work has been funded by H2020-MSCA-ITN-2018-812997 under “Cleopatra”.
PY - 2022/8/16
Y1 - 2022/8/16
N2 - Events such as terrorist attacks and Brexit play an important role in the research of social scientists and Digital Humanities researchers. They need innovative user access models to event-centric information which support them throughout their research. Current access models such as recommendation and information retrieval methods often fail to adequately capture essential features of events and provide acceptable access to event-centric information. This PhD research aims to develop efficient and effective user access models to event-centric information by leveraging well-structured information in Knowledge Graphs. The goal is to tackle the challenges researchers encounter during their research in a workflow, from exploratory search to accessing well-defined and complete information collections. This paper presents the specific research questions and presents the approach and preliminary results.
AB - Events such as terrorist attacks and Brexit play an important role in the research of social scientists and Digital Humanities researchers. They need innovative user access models to event-centric information which support them throughout their research. Current access models such as recommendation and information retrieval methods often fail to adequately capture essential features of events and provide acceptable access to event-centric information. This PhD research aims to develop efficient and effective user access models to event-centric information by leveraging well-structured information in Knowledge Graphs. The goal is to tackle the challenges researchers encounter during their research in a workflow, from exploratory search to accessing well-defined and complete information collections. This paper presents the specific research questions and presents the approach and preliminary results.
KW - entity recommendation
KW - event collection
KW - information retrieval
KW - knowledge graphs
UR - http://www.scopus.com/inward/record.url?scp=85137427938&partnerID=8YFLogxK
U2 - 10.1145/3487553.3524193
DO - 10.1145/3487553.3524193
M3 - Conference contribution
AN - SCOPUS:85137427938
T3 - Companion Proceedings of the Web Conference 2022
SP - 329
EP - 333
BT - WWW '22
T2 - 31st ACM Web Conference, WWW 2022
Y2 - 25 April 2022 through 29 April 2022
ER -