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

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FCWeb

FCReader

FCNote

• Author-centric vs. reader-centric• Piecemeal solution vs. unified approach

Overview• ForeCite

– Architecture– Design principles

• FCWeb• FCReader• FCNote• Backend components

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ForeCite - Architecture

• Ruby on Rails framework• Model-View-Controller (MVC) design pattern

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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

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Table 2: Publicly available ForeCite web services

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

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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 readers05/03/23 7

FCReader – Document annotation

• Reading environment + sensemaking the content• Highlights & anchor notes, Reviews (saved into FCNote) support collaborative annotations

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FCReader – Document analysis

Rhetorical structure (RAZ)

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Keywords (KEA)Logical structure (ParsCit++)

FCNote – Bibliographic manager + notetaking system

• Access to documents’ metadata & own annotations (online)– Synchronization mechanism http://FCNote.comp.nus.edu.sg

• Key difference in client-side (offline)– Self-contained HTML page – A heavy modification from TiddlyWiki

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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

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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 Pages05/03/23 12

Q & A

Thank you!

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