Zhao PX, Zhang M, Yang DQ, Tang SW "Finding hidden semantics behind reference linkages: An ontological approach for scientific digital libraries " Database Systems for Advanced Apps., Proc. Lecture Notes in Com. Sci.3453: 699-710 2005

[Eugene Garfield]

Peixiang Zhao : pxzhao at se.cuhk.edu.hk   tsw at pku.edu.cn
Ming Zhang : mzhang at db.pku.edu.cn
Dongqing Yang : ydq at db.pku.edu.cn
Shiwei Tang : tsw at pku.edu.cn


Title: Finding hidden semantics behind reference linkages: An ontological
approach for scientific digital libraries

Author(s): Zhao PX, Zhang M, Yang DQ, Tang SW

Source: DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS LECTURE
NOTES IN COMPUTER SCIENCE 3453: 699-710 2005


Document Type: Article
Language: English
Cited References: 15      Times Cited: 0

Abstract:
The contents and topologies of inter-document linkages, such as citations
and references among scientific literature, have received increasing
research interests in recent years. Some technologies have been fully
studied and utilized upon this meaningful information to improve the
organization, analysis and evaluation of scientific digital libraries. In
this paper, we present a CiteSeer-like system to access scientific papers
in computer science discipline by reference linking technique. Moreover,
implicit semantics behind reference indices are mined and organized to
improve accessibility of scientific papers. In order to model scientific
literature and their interlinked relationships, we develop a domain-
specific ontology to analyze contents and citation anchor context of
scientific papers. Compared with abstract of a specific paper written by
authors themselves, we introduce an automatic summary generation algorithm
to create objective descriptions from other scholars' perspectives based on
the ontology. Semantic queries can also be asked to discover interesting
patterns in scientific libraries in order to provide a comprehensive and
meaningful guidance for users.

Addresses: Zhao PX (reprint author), Chinese Univ Hong Kong, Dept Syst Engn
& Engn Management, Hong Kong, Hong Kong Peoples R China
Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong
Kong Peoples R China
Peking Univ, Dept Comp Sci & Technol, Beijing, 100871 Peoples R China

E-mail Addresses: pxzhao at se.cuhk.edu.hk, mzhang at db.pku.edu.cn,
ydq at db.pku.edu.cn, tsw at pku.edu.cn

Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN,
GERMANY
Subject Category: COMPUTER SCIENCE, THEORY & METHODS
IDS Number: BCG53

ISSN: 0302-9743

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