scholarly journals Improvement and Analysis of Semantic Similarity Algorithm Based on Linguistic Concept Structure

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shan Xiao ◽  
Cheng Di ◽  
Pei Li
Keyword(s):  
Semantic Similarity ◽  
Data Storage ◽  
Impact Analysis ◽  
Rapid Development ◽  
Conceptual Structure ◽  
Information Modeling ◽  
Data Resource ◽  
Huge Data ◽  
Starting Point ◽  
Similarity Algorithm

With the rapid development of information age, various social groups and corresponding institutions are producing a large amount of information data every day. For such huge data storage and identification, in order to manage such data more efficiently and reasonably, traditional semantic similarity algorithm emerges. However, the accuracy of the traditional semantic similarity algorithm is relatively low, and the convergence of corresponding algorithm is poor. Based on this problem, this paper starts with the conceptual structure of language, analyzes the depth of language structure and the distance between nodes, and analyzes the two levels as the starting point. For the information of a specific data resource description frame type, the weight of interconnected edges is used for impact analysis so as to realize the semantic similarity impact analysis of all information data. Based on the above improvements, this paper also systematically establishes the data information modeling process based on language conceptual structure and establishes the corresponding model. In the experimental part, the improved algorithm is simulated and analyzed. The simulation results show that compared with the traditional algorithm, the algorithm has obvious accuracy improvement.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

An HBase-Based Platform for Massive Power Data Storage in Power System

2014 ◽  
Vol 1070-1072 ◽  
pp. 739-744
Author(s):  
Zi Jian Yan ◽  
Peng Sun ◽  
Xiao Mei Liu
Keyword(s):  
Data Storage ◽  
Rapid Development ◽  
Database System ◽  
Massive Data ◽  
Huge Data ◽  
Sample Data ◽  
Design Software ◽  
Power Application ◽  
Data Design ◽  
Big Data Technology

With the rapid development of the grid scale, there are huge data generated in grid, which include many sample data, alarm data used for real-time monitor and analysis, the traditional dispatching system can’t meet the demands of big capacity storage very well. In recent years, big data technology develop very fast, among it the distributed column-oriented database system is rising gradually with the vigorous development of cloud computing. Considering the character of power data, this paper studies how to use distributed column-oriented database system in power application for storing massive increasing data. The paper design massive data storage structure of power data, design software frame and deployment of massive power data storage. Through experiment it is feasible for distributed column-oriented database to be applied in EMS system through experiment.

scholarly journals Event Detection through Lexical Chain Based Semantic Similarity Algorithm

2021 ◽  
Vol 1166 (1) ◽  
pp. 012016
Author(s):  
Swati Jain ◽  
Suraj Prakash Narayan ◽  
Nalini Meena ◽  
Rupesh Kumar Dewang ◽  
Utkarsh Bhartiya ◽  
...  
Keyword(s):  
Semantic Similarity ◽  
Event Detection ◽  
Similarity Algorithm ◽  
Lexical Chain

scholarly journals THE DESIGN OF TOPSIS4BIM DECISION SUPPORT FOR BUILDING INFORMATION MODELING SOFTWARE SELECTION

2015 ◽  
Vol 77 (5) ◽  
Author(s):  
Ahmad Taufik Nursal ◽  
Mohd Faizal Omar ◽  
Mohd Nasrun Mohd Nawi
Keyword(s):  
Building Information Modeling ◽  
Rapid Development ◽  
Information Modeling ◽  
Software Selection ◽  
Information Communication ◽  
Construction Companies ◽  
New Information ◽  
Building Information ◽  
Modeling Software ◽  
High Investment

The emerging of new Information Communication Technology (ICT) technology namely Building Information Modeling been proven benefits toward construction industry. As a result, the list of BIM software available in the market is keep increasing in recent years. This has led to the selection problem among construction companies. Moreover, the selection BIM software also required high investment in term of software, hard ware and training expenses. These aforementioned issues have increased the complexities of decision process and the need of decision aid in BIM software selection. Thus, this paper has introduced a new approach in MCDMDSS web development by utilization of Web 2.0 application. The rapid development of Information technology has highly benefit to the development of web based DSS. The design and validation architecture of a web base DSS called topsis4BIM for Building Information Modeling (BIM) is presented. 

scholarly journals An weighted ontology-based semantic similarity algorithm for web service

2009 ◽  
Vol 36 (10) ◽  
pp. 12480-12490 ◽  
Author(s):  
Min Liu ◽  
Weiming Shen ◽  
Qi Hao ◽  
Junwei Yan
Keyword(s):  
Web Service ◽  
Semantic Similarity ◽  
Similarity Algorithm

Factors impacting BIM application in prefabricated buildings in China with DEMATEL-ISM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cheng Gong ◽  
Hongyu Xu ◽  
Feng Xiong ◽  
Jian Zuo ◽  
Na Dong
Keyword(s):  
Rapid Development ◽  
Information Modeling ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Expert Interview ◽  
Improvement Strategies ◽  
Building Information ◽  
Share Data ◽  
Strategic Goals

Purpose Some papers have investigated the complex factors impacting building information modeling (BIM) application in prefabricated buildings (PBs), but few paid attention to their interaction relationships. Ignoring the fact that different factors are not isolated may lead to some key factors being overlooked without appropriate improvement strategies being proposed. This paper aims to analyze those factors and their inter-relationships, with the view to identify the critical factors and their interaction relationships so as to derive constructive strategies that would effectively facilitate BIM adoption in Chinese prefabrication. Design/methodology/approach First, factors influencing BIM application in prefabrication are extracted and collated by literature review, expert interview and analysis of PBs characteristics. Thereafter, an evaluation laboratory (decision-making trial and evaluation laboratory) and interpretive structural modeling are used to explore the relationships and hierarchy among the factors. Based on the degree of cause and centrality, critical factors are extracted and the interaction relationship are investigated. Findings The results show that BIM policies and standards for PBs are the main causal factors. The maturity of BIM software and BIM data interface for PBs, willingness to share data, the strategic goals of the enterprise, BIM law and BIM input and benefit are the main transitional factors while BIM staff and workflow, enterprise attitude, distribution of BIM liability and cooperation of participants are the main direct factors. Originality/value Based on the above findings, corresponding improvement strategies are proposed so as to promote BIM application in prefabrication and the rapid development of China’s PBs efficiently.

scholarly journals Topics for Collaborative Research in AEC: Pilot Findings from a Sustainable Perspective

10.29007/k8c7 ◽  
2020 ◽  
Author(s):  
Luciana Debs ◽  
Sara Gusmao Brissi
Keyword(s):  
Interdisciplinary Collaboration ◽  
Collaborative Work ◽  
Information Modeling ◽  
Building Performance ◽  
Indoor Environmental Quality ◽  
Starting Point ◽  
Building Information ◽  
Building Components ◽  
Quality Decision ◽  
Aec Industry

Recent improvements in the AEC industry, such as Building Information Modeling (BIM) and lean construction and sustainability, require that the design and construction process be approached from a holistic and collaborative manner. From an academic perspective, collaboration also is an important teaching and research component that allows for a well-rounded understanding of the AEC industry. However, very little research has been performed on collaboration in the AEC disciplines, specifically interdisciplinary collaboration. As a starting point, this paper focuses on academic collaboration in journal publications related to sustainability and building performance. The authors provide bibliometric and thematic analyses of three 2018 research publications related to building performance and written by faculty affiliated with construction departments. The main goal of the paper is to provide preliminary findings about which AEC disciplines were included and which themes were prevalent in collaborative publications. Preliminary findings indicated themes related to performance analysis of buildings and / or building components; indoor environmental quality; decision-making and evaluation methods; and life cycle assessment. Results can be used to identify potential areas that are conducive to collaborative work between construction and other AEC disciplines in order to stimulate more interdisciplinary collaboration within AEC research.

Research of Android Platform Application Based on HTML5

2014 ◽  
Vol 651-653 ◽  
pp. 1901-1904
Author(s):  
Xian Wei Li
Keyword(s):  
Data Storage ◽  
Computer Technology ◽  
High Efficiency ◽  
Rapid Development ◽  
Management Information ◽  
Development Environment ◽  
Android Platform ◽  
User Data ◽  
Realization Process ◽  
Application Module

In the society with the rapid development and popularization of computer technology, the management information system has become the hot field of software development. It runs stably in the browsers, like IE6, IE7, IE8, IE9 and FireFox, with high efficiency, sound security, friendly interface and simple operation. It has done research on the design and realization process of HTML5 off-line data storage on the Android platform. Under the Eclipse integrated development environment, with Android SDK and HTML5 grammar, develop the system, which realize the functions of off-line storage, addition, deletion and modification of user data. It enables the application of HTML5 of Android platform and has made detailed analysis on the Android platform and HTML5 application module. The result indicates, the webpage application design of HTML5 conducted on the Android platform, is simple and fast, which can better meet the demand of Android cellphone users.

A multi-sided market of personal data resource allocation: An empirical study of China’s car-hailing platform

2021 ◽  
pp. 178359172110512
Author(s):  
Lei Huang ◽  
Miltos Ladikas ◽  
Guangxi He ◽  
Julia Hahn ◽  
Jens Schippl
Keyword(s):  
Resource Allocation ◽  
Market Structure ◽  
Market Competition ◽  
Rapid Development ◽  
Personal Data ◽  
Application Programming Interface ◽  
Allocation Mechanism ◽  
Allocation Model ◽  
Data Resource ◽  
Technology And Economy

The current rapid development of online car-hailing services creates a serious challenge to the existing paradigm of market governance and antitrust policy. However, the debate on the market structure of the car-hailing platform requires more empirical evidence to uncover its functions. This research adopts an interdisciplinary methodology based on computer science and economics, and including software reverse engineering tools applied to the interoperability of the terminal application and resource allocation model, to demonstrate the topological market structure of personal data resources allocation in China’s car-hailing industry. Within the discussion of the hybrid nature of technology and economy, the analysis results clearly show that China’s car-hailing platform services present a multi-sided market structure when seen from the perspective of personal data resource allocation. Personal data resource (PDR), that is considered an essential market resource, is applied as an asset transferred unhindered between platforms via the application programming interface, and thus, creating a new market allocation mechanism. The connection between the car-hailing platforms and social media platforms is an essential aspect of the market competition in the domain. As applications of online platforms increase in the global context, this research offers a new perspective in personal data resource allocation with implications for the governance of the platform economy.

NoSQL Databases

2014 ◽  
pp. 186-215 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Open Source ◽  
Data Storage ◽  
Big Data Processing ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Data Intensive Applications

NoSQL databases are designed to meet the huge data storage requirements of cloud computing and big data processing. NoSQL databases have lots of advanced features in addition to the conventional RDBMS features. Hence, the “NoSQL” databases are popularly known as “Not only SQL” databases. A variety of NoSQL databases having different features to deal with exponentially growing data-intensive applications are available with open source and proprietary option. This chapter discusses some of the popular NoSQL databases and their features on the light of CAP theorem.

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