A Critical Survey on Current Literature-Based Discovery Models

被引：0
|
作者：
Ahmed, Ali [1 ]
Alhashmi, Saadat M. [2 ]
机构：
[1] Al Imam Mohammad Ibn Saud Islamic Univ IMSIU, Riyadh, Saudi Arabia
[2] Abu Dhabi Univ, Coll Engn, Al Ain, U Arab Emirates
来源：
CRAFTING GLOBAL COMPETITIVE ECONOMIES: 2020 VISION STRATEGIC PLANNING & SMART IMPLEMENTATION, VOLS I-IV | 2014年
关键词：
Literature-Based Discovery; Information Retrieval; Data-mining; Knowledge Discovery; LINK DISCOVERY; IDENTIFICATION; ASSOCIATION; CONNECTIONS; HYPOTHESES; CANDIDATES; SETS;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Literature-Based Discovery (LBD) is the science of relating existing knowledge in literature to discover new relationships. It is sometimes referred to as "hidden knowledge". The problem could be related to different domains such as information retrieval in general. This research addresses this point (i.e. different research methodologies) highlighting the advantages and disadvantages of currently available methodologies. We will provide the most recent classification of the existing LBD methods relating the problem to other domains.
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页码：1383 / 1399
页数：17
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