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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China 2018 Vol.44 193

result generation by temporal information are comprehensively reviewed under the framework of
temporal semantics technology. Firstly, basic researches on automatic extraction of text’s temporal
information and retrieval model incorporated with temporal information are reviewed. A special
focus is placed on studies related to temporal perception, retrieval and cognition, temporal query
intent algorithms, methods to determine the temporal dimension of literature, temporal-based
text similarity computing, and temporal ranking model. We also summarize four major future
research directions in the field of Web information retrieval based on temporal semantics: multi-
dimension time expression extraction, acquisition of implicit temporal intent, similarity computing
in deep-level temporal retrieval model, and temporal intent classification based on deep learning.
The major limitation of the present review is that besides the overall analysis of theories on Web
information retrieval based on temporal semantics, there is also a need for systematic review of
relevant theories and concepts. A systemic and comprehensive review of existing studies about
Web information retrieval based on temporal semantics from the perspective of key technology is
not only beneficial for grasping the research progress and status quo of this field but also helpful
to tracking the future development trend of temporal retrieval in the era of big data and artificial
intelligence. Such review can help us develop ways to incorporate the technique, methodology
and concept of deep learning into information retrieval based on temporal semantics. Originality
of this paper is manifested in two aspects. Firstly, key technology involved in Web information
retrieval based on temporal semantics is taken as the entry point. Then we perform a systematic
and comprehensive review on studies related to information extraction, organization, mining and
presentation based on temporal semantics. Secondly, the future development trend of information
retrieval based on temporal semantics is pointed out after literature review and a brief analysis on
the latest development in this field is carried out.

No.5

Knowledge management and services for smart health

〇a*
MA Feicheng〇 & ZHOU Liqin
With the rapid development and integration of modern information technologies (such as Big
data, Cloud computing, Internet of Things, and Mobile Internet), waves of “Internet+medical” and
artificial intelligence have swept the world, driven rapid expansion of health intelligent terminals,
and promoted intelligent transformation of healthcare related products. The traditional “disease-
centered post-treatment” model cannot solve problems of continuous healthcare and chronic

* Correspondence should be addressed to MA Feicheng, Email: fchma@whu.edu.cn, ORCID: 0000-0003-0187-0131