A Data Dependency Relationship Directed Graph and Block Structures Based Abstract Geospatial Information Service Chain Model

2008 ◽  
Author(s):  
Zhipeng Gui ◽  
Huayi Wu ◽  
Zun Wang
Keyword(s):  
Directed Graph ◽  
Information Service ◽  
Chain Model ◽  
Data Dependency ◽  
Geospatial Information ◽  
Service Chain ◽  
Dependency Relationship ◽  
Block Structures

scholarly journals Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Jing Geng ◽  
Shuliang Wang ◽  
Wenxia Gan ◽  
Hanning Yuan ◽  
Zeqiang Chen ◽  
...  
Keyword(s):  
Decision Making ◽  
Web Service ◽  
Quality Index ◽  
User Requirement ◽  
Geospatial Information ◽  
Related Services ◽  
Service Chain ◽  
Sensor Web ◽  
Spatial Decision Making ◽  
Novel Method

With the development of geoscience, users are eager to obtain preferred service from geospatial information intelligently and automatically. However, the information grows rapidly while the service gets more complicated, which makes it difficult to find out the targeted information for an exact service in geospatial issues. In this paper, a novel method is proposed to promote the geospatial service from information to knowledge with spatiotemporal semantics. Both prompted and professional knowledge are further refined to be published as a service. In terms of an exact task, numerous related services are recombined to a service chain under user requirement. Finally, the proposed method is applied to monitor the environment on the Air Quality Index (AQI) and soil moisture (SM) in the Sensor Web service platform, the results of which indicate geospatial knowledge service (GKS) is more efficient to support spatial decision-making.

scholarly journals University libraries provide intellectual property information service in China: theoretical framework and system development

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Congjing Ran ◽  
Kai Song ◽  
Le Yang
Keyword(s):  
Intellectual Property ◽  
Service System ◽  
System Development ◽  
Information Service ◽  
Theoretical Framework ◽  
Assessment System ◽  
Chain Model ◽  
Content Type ◽  
Whole Process ◽  
Expert Support

PurposeThere is no proposed solution to address the unresolved issues of constructing the Chinese university intellectual property information service system (IPISS) to promote the whole process service efficiency of IP creation, utilization, protection and management. The purpose of this paper is to propose a complete system, including theoretical framework and system development which addresses the existing difficulties to IP create, protect and transfer for researchers in universities. The paper shares the practice of utilizing the system developed by Wuhan University IP research team known as Wuhan University Intellectual Property Information Service System (WHU-IPISS).Design/methodology/approachFirst, the IPISS of 23 universities in China was investigated on the internet. Aiming at the deficiencies of the system, such as single service type, lack of patent display window, low management efficiency. This paper constructs the theoretical framework, proposes the IP ecological chain model, divides it into four sub-chains and carries on the functional design. Further, under the theoretical framework, the IPISS was developed, including the resource supply management system, user demand matching system, resource assessment system and expert support system. Finally, the system was applied to Wuhan University to provide IP services in the whole process for university researchers.FindingsWHU-IPISS realizes the functions of IP resource supply, demand matching, value evaluation and expert support. It solves the IP needs of university researchers and provides a guarantee for their technology research, patent portfolio, patent transfer and patent rights protection. It also improves the efficiency of IP service and can construct the IP ecosphere in universities.Originality/valueThe WHU-IPISS solution resolves issues of “How to develop the university IP whole process service model, fulfilling the IP service needs for universities' researchers”. The software will be released as open-source for other universities' use. The publishing model is also useful for those universities that intend to implement the IPISS.

scholarly journals Insight into earthquake sequencing: analysis and interpretation of time-series constructed from the directed graph of the Markov chain model

2015 ◽  
Vol 2 (1) ◽  
pp. 399-424
Author(s):  
M. S. Cavers ◽  
K. Vasudevan
Keyword(s):  
Time Series ◽  
Markov Chain ◽  
Directed Graph ◽  
State Transition ◽  
Transition Probabilities ◽  
Markov Chain Model ◽  
Fano Factor ◽  
Chain Model ◽  
Intrinsic Mode Functions ◽  
Allan Factor

Abstract. Directed graph representation of a Markov chain model to study global earthquake sequencing leads to a time-series of state-to-state transition probabilities that includes the spatio-temporally linked recurrent events in the record-breaking sense. A state refers to a configuration comprised of zones with either the occurrence or non-occurrence of an earthquake in each zone in a pre-determined time interval. Since the time-series is derived from non-linear and non-stationary earthquake sequencing, we use known analysis methods to glean new information. We apply decomposition procedures such as ensemble empirical mode decomposition (EEMD) to study the state-to-state fluctuations in each of the intrinsic mode functions. We subject the intrinsic mode functions, the orthogonal basis set derived from the time-series using the EEMD, to a detailed analysis to draw information-content of the time-series. Also, we investigate the influence of random-noise on the data-driven state-to-state transition probabilities. We consider a second aspect of earthquake sequencing that is closely tied to its time-correlative behavior. Here, we extend the Fano factor and Allan factor analysis to the time-series of state-to state transition frequencies of a Markov chain. Our results support not only the usefulness the intrinsic mode functions in understanding the time-series but also the presence of power-law behaviour exemplified by the Fano factor and the Allan factor.

scholarly journals DESIGN AND IMPLEMENTATION OF CROWDSOURCING BASED CHINA'S NATIONAL PUBLIC GEOSPATIAL INFORMATION COLLECTION SYSTEM

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1621-1624
Author(s):  
H. Zhang ◽  
J. Jiang ◽  
W. Huang ◽  
L. Yang
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Information Service ◽  
Geospatial Data ◽  
Process Data ◽  
Geospatial Information ◽  
Service Platform ◽  
The Public ◽  
The Government ◽  
Data Update

<p><strong>Abstract.</strong> As the basis of public geospatial information service, geospatial information data with wide coverage, strong timeliness, rich content and high positioning accuracy is the key infrastructure of geospatial infrastructure for building smart cities and digital China. How to collect and update massive geospatial information resources fast and efficiently has always been the bottleneck for the rapid development of surveying and mapping geospatial information science and technology and industries, and the construction of China's national spatial data infrastructure. At present, the mainstream of geospatial data collecting and updating in China is that the government and enterprise employ professional engineers to for this work, but the problems of professional and complex data processing process, data management level by level, closed and off-line data update mode lead to a relatively slow update rate and poor data actuality, which seriously restricted the applications of geospatial information service in the fields of government decision-making, planning and construction, resource and environment monitoring, and emergency response. The contributions to the geospatial information data from the public community has also been ignored. This paper addresses the issues of low efficiency on data collection and update occurring in China's national geospatial information service platform, proposing a solution for public geospatial data collection and update based on crowdsourcing. The key technologies of data collection, storage, reviews and publication are studied, and the basic technical process of online data update for the government and the public users is designed. In order to verify the effectiveness and practicality of the mode discussed above, a prototype system is developed by expanding China's national geospatial information service platform, which fulfilled data online collection and reviewing, such as POIs, roads, and residential areas. The system can provide new methods and reference ideas for the collection and update of spatial data for the national geospatial information public service platform. It is a useful supplement to the current spatial data collection and update, and has important significances.</p>

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