Page 51 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 44

050 Journal of Library Science in China, Vol.10, 2018

and solar energy systems, the library can not only help the library to save energy consumption,
but also provide users with a comfortable learning situation to help users to reduce the cognitive
burden. In view of the intelligent perception system, the application of the Internet of Things
sensor, like the RFID, indoor navigation and other technologies, makes the library’s resource and
space management convenient. Also, face recognition, infrared detection and other technologies
able to sense user behavior can provide data support for personalized user service and help
libraries to understand users’ macro knowledge activities. In the construction of virtual libraries,
an open and interconnected online knowledge acquisition and communication environment should
be constructed, which not only facilitates users’ knowledge learning, but also provides a platform
for real-time communication to help users to discuss knowledge issues. For example, through the
SoLoMo technology that integrates mobile devices, geographic locations and social networks,
users can be provided with App (Xia, Bai, & C.L. Li, 2015) accessing knowledge resources and
exchanging knowledge anytime and anywhere. In addition, technologies such as augmented reality,
virtual reality, and 3D printing help to present the intrinsic logic and simulation of knowledge to
users online and offline.

3.2 Networked knowledge organization

The networked organization of knowledge is a new demand for resource organization in the
Internet environment. When users face knowledge problems, they need to acquire relevant
knowledge about this problem in order to quickly build the required knowledge system in the
redundant information environment. The traditional library knowledge organization is mainly
in accordance with the library classification methods and disciplines. Resource storage and
management is relatively dispersed, and there is no correlation between different carrier types and
resource systems. Moreover, a large number of duplicative resources become burden to users. The
fine-grained and networked form of resource organization is the trend of the times, which has been
discussed by many disciplines and scholars (R.J.Xu, 2002; Chang & Zheng, 2007).
There are three main processes in the networked organization of knowledge: ① Knowledge fusion.
In the data-driven environment, the object of knowledge fusion not only contains the traditional
library resources, but also the valuable information from the real-time flow of the network, as
well as the user behavior data and personal knowledge base which play an important role in
updating knowledge and understanding the users’ knowledge needs. The means of knowledge
fusion mainly relies on semantic web technology, through the semantic description of RDF for
various resources and data, and semantic organization through association data and ontology, to
form a huge knowledge network to meet the differentiated needs of all users. ② Data analysis and
knowledge calculation. In the massive knowledge resource network, it may contain undiscovered
rules or valuable knowledge combinations. With the help of subject analysis, content mining and
knowledge reasoning, new valuable knowledge discovery can be provided to users. ③ Knowledge