نویسندگان
1 دانشگاه علوم پزشکی بوشهر
2 دانشگاه فردوسی مشهد
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Developing citation databases as a new approach to
information storage and retrieval is one of the main activities of
information professionals in recent years. The aim of such databases is to
satisfy researchers and students' information needs on the Web. The
various capacities of these databases provide researchers with different
facilities both in information searching and retrieval as well as in
scientometrics. Performed using case study (direct observation of these
databases) and review of the related literature, this study aims at
investigating structures as well as information search and retrieval
facilities of Google Scholars and Scopus. This necessitates the analysis of
the indexing structure, algorithms of the databases regarding weighting,
indexing, connecting citations and author co-citrations. Findings revealed
that these databases had networked structures and used two citation
indexing systems, mainly an automated indexing system. Their algorithm
system is based on weighting and spatial vector models and cumulative
hierarchy clustering which are discussed in detail. The algorithm allows
searchers to trace a network of cited and citing sources.
کلیدواژهها [English]