1. ForeCite: towards a reader-centric scholarly digital library Thuy Dung Nguyen, Min-Yen Kan, Dinh- Trung Dang, Markus Hänse, Ching Hoi Andy Hong, Minh-Thang Luong, Jesse Prabawa Gozali, Kazunari Sugiyama & Yee Fan Tan Minh-Thang Luong @ WING meeting 14 May 2010

2. 2/3/20162 FCWeb FCReader FCNote Author-centric vs. reader-centric Piecemeal solution vs. unified approach

3. Overview ForeCite – Architecture – Design principles FCWeb FCReader FCNote Backend components 2/3/20163

4. ForeCite - Architecture Ruby on Rails framework Model-View-Controller (MVC) design pattern 2/3/20164

5. ForeCite - Design Principles Web services (WS) platform: WS server as a broker + rudimentary load balancer Reader-centric platform: explore, read, and synthesize  Deeply interlinked components FCW/R/N 2/3/20165 Table 2: Publicly available ForeCite web services

6. FCWeb - Homepage Search interface to FC Paper statistics - a more dynamic presence – Most read – FCReader – Recently added – FCWeb & FCNote – Recently annotated – FCReader & FCNote User statistics – Most active – based on # of public annotations 2/3/20166

7. FCWeb - Views Paper ( left ): view metadata – keywords, reference and citation info from KEA & ParsCit – annotations and user reviews made in FCReader & FCNote Person ( right ): regards users as both authors and readers 2/3/20167

8. FCReader – Document annotation Reading environment + sensemaking the content Highlights & anchor notes, Reviews (saved into FCNote)  support collaborative annotations 2/3/20168

9. FCReader – Document analysis Rhetorical structure (RAZ) 2/3/20169 Keywords (KEA) Logical structure (ParsCit++)

10. FCNote – Bibliographic manager + notetaking system Access to documents’ metadata & own annotations (online) – Synchronization mechanism http://FCNote.comp.nus.edu.sghttp://FCNote.comp.nus.edu.sg Key difference in client-side (offline) – Self-contained HTML page – A heavy modification from TiddlyWiki 2/3/201610

11. FCNote – Note creation & document ingestion Normal vs. research notes Research notes: – Title suggestions – Paper metadata – 2-level tagging: tasks & tags – Share notes (FCReader, FCWeb) Document ingestion: – PDF or BIB (single/multiple) – Paper metadata, keywords, references automatically extracted (for PDF) Local document management 2/3/201611

12. Backend components KEA: Automatic Keyphrase Extraction ParsCit: Reference String Parser ParsCit++: Section Labeler RAZ: Robust Argumentative Zoning Kairos: Crawler for Paper Metadata Record Matching and Canonicalization FireCite: Browser-based Metadata Extraction from Publication Web Pages 2/3/201612

13. Q & A Thank you! 2/3/201613