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Data quality through knowledge engineering

Tamraparni Dasu, Gregg T. Vesonder, Jon R. Wright
2003 Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03  
Traditionally, data quality programs have acted as a preprocessing stage to make data suitable for a data mining or analysis operation.  ...  Our system works by allowing good data to pass through a system of constraints unchecked. Bad data violate constraints and are flagged, and then fed back after correction.  ...  DQ: KNOWLEDGE ENGINEERING Our assertion that data quality benefits from using the rule based methodology is based on the commonality between the activities associated with engineering a Knowledge-based  ... 
doi:10.1145/956841.956844 fatcat:542ezxaebnhp7gcnk2rnlaagny

Data quality through knowledge engineering

Tamraparni Dasu, Gregg T. Vesonder, Jon R. Wright
2003 Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03  
Traditionally, data quality programs have acted as a preprocessing stage to make data suitable for a data mining or analysis operation.  ...  Our system works by allowing good data to pass through a system of constraints unchecked. Bad data violate constraints and are flagged, and then fed back after correction.  ...  DQ: KNOWLEDGE ENGINEERING Our assertion that data quality benefits from using the rule based methodology is based on the commonality between the activities associated with engineering a Knowledge-based  ... 
doi:10.1145/956750.956844 dblp:conf/kdd/DasuVW03 fatcat:gwanvmp7ufdlfpi6mfeizdihya

Improving data quality through effective use of data semantics

Stuart Madnick, Hongwei Zhu
2006 Data & Knowledge Engineering  
Data quality issues have taken on increasing importance in recent years.  ...  In our research, we have discovered that many "data quality" problems are actually "data misinterpretation" problems-that is, problems caused by heterogeneous data semantics.  ...  Through demonstrations, we have shown that COIN can be used to solve many data quality problems caused by semantic heterogeneities.  ... 
doi:10.1016/j.datak.2005.10.001 fatcat:grkn6ezwezevhgvtaimzsg4wz4

Construction and Application of Knowledge Graph for Quality and Safety Supervision of Transportation Engineering

Sheng Huang, Chuanle Liu
2021 Journal on Artificial Intelligence  
In order to improve the efficiency of quality and safety supervision of transportation engineering construction, this paper constructs a knowledge graph by acquiring multi-sources heterogeneous data from  ...  supervision of transportation engineering quality and safety.  ...  data for information extraction, finally to construct a knowledge graph for quality and safety supervision of transportation engineering projects.  ... 
doi:10.32604/jai.2021.025175 fatcat:n4xrymlgdffexktbu7bkymptvi

A PERSPECTIVE ON THE USEFULNESS OF KNOWLEDGE ACQUIRED WITHIN A SIMULATED ENTERPRISE IN REVERSE ENGINEERING.pdf

Marius BABAN, Calin Florin BABAN, Alexandru Viorel PELE
2015 Annals of the Oradea University: Fascicle Management and Technological Engineering  
ACKNOWLEDGMENT This research was in part undertaken within the project POSDRU/161/2.1/G/133930 "Support for a successful career in Reverse Engineering".  ...  This work was in part undertaken through the Partnerships in Priority Domains Programme-PN II, developed with the support of MEN-UEFISCDI, Project no. 337/2014.  ...  through the training activities within the following areas: a) redesign of products; b) manufacturing and quality inspection of the products obtained through reverse engineering; c) product data management  ... 
doi:10.15660/auofmte.2015-3.3182 fatcat:usjon7kstrho3aosy5pyvolwba

Reasonable e-Business expectancy Analytics in an IoE Edge

Dr. Nilamadhab Mishra
2018 International Journal for Research in Applied Science and Engineering Technology  
The analysis acts appositive elucidation in small scale e-business data depository to generate potential business worth and the small scale data repository may transform into a big data-value for the modernised  ...  The consumerend views are considered as the potential data sources that need an effective cognitive analytics system to massively turn into the e-business goldmines.  ...  engine, and the dynamic Meta data and data frames that are generated from the BQ knowledge base through invoking the analytic operations.  ... 
doi:10.22214/ijraset.2018.2011 fatcat:mbvtiby3qrhn5pbbbdwm23npd4

A Conceptual Model for Effectiveness of Knowledge Management Systems

2019 International journal of recent technology and engineering  
This paper also includes empirical validation using data collected from three sectors: nuclear power production, Electrical equipment manufacturing and software industry for suitability analysis through  ...  We considered primary variable from each identified dimension to analyze the suitability of KMS with 25 knowledge workers in each sector through five parameters: Completeness of product, Customization  ...  His current research interests are Knowledge Engineering, Open source Software Quality Assurance and Information Retrieval Systems..  ... 
doi:10.35940/ijrte.b3371.078219 fatcat:4biu3nfljfejxakbybbvs2qbfe

The Analysis of Engineering Data Information System Based on Knowledge Management and Internet plus Technology

Nian Lv, Xuan Zhang, T. Gong, T. Yang, J. Xu
2016 ITM Web of Conferences  
Adopted knowledge management theory, we could make use of knowledge to direct movement through the change from information into knowledge.  ...  Adopted information classification and coding technology, the author try to write the WBS code of electric power transformation project and study on the content and form of engineering data.  ...  Through data mining, by using the engineering data of every project, the red flag and high-quality engineering data can be formed and updated.  ... 
doi:10.1051/itmconf/20160704008 fatcat:3dslvksgc5e3decazczcmemgqu

Measurement Method of Civil Engineering Complexity Structure Based on Logical Equivalent Model

Qian Li, Yan Gong, Jubao Zang, Yan Zhang, Yiting Sun, Gengxin Sun
2022 Mathematical Problems in Engineering  
The failure state of the beam and the displacement of the beam bottom are obtained through the data of each unit sensor.  ...  Therefore, long-gauge length sensing is more suitable for civil engineering structure monitoring.  ...  management system through quality planning, quality control, quality assurance, and quality improvement.  ... 
doi:10.1155/2022/6782822 fatcat:zqr24pndfraaxbfkft5lgodx5i

Knowledge-based clinical pathway for medical quality improvement

Hongqiao Yang, Weizi Li, Kecheng Liu, Junping Zhang
2011 Information Systems Frontiers  
Using knowledge-based decision support on the basis of clinical pathways is a promising strategy to improve medical quality effectively.  ...  The experiences from the use of this system show that the treatment quality can be effectively improved by the extracted and classified clinical pathway knowledge, seamless integration of patient-specific  ...  Firstly, the knowledge engineers establish the knowledge bases sorted by clinical knowledge classification through data mining and knowledge discovery from the accumulated clinical data in CIS and HIS.  ... 
doi:10.1007/s10796-011-9307-z fatcat:2gf6a7ruijchbjmysjpsx4pjsa

Research on Teaching Strategy of Roadbed Structure and Construction Course Based on BIM Technology

Qing Wang, Yongxiang Ren
2020 Lifelong Education  
The roadbed structure and construction course is a compulsory course for the major of road and bridge engineering technology in higher vocational colleges.  ...  At the same time, it is necessary to develop high-quality engineering structure teaching materials through BIM technology, organize students to participate in engineering structure and construction simulation  ...  , resulting in students not being able to understand and master the content of bridge and tunnel engineering and construction courses through personal experience.  ... 
doi:10.18282/le.v9i6.1302 fatcat:g35pzfslajbq5ldu67gvj54oda

Integrated STEM: Focus on Informal Education and Community Collaboration through Engineering

Andrea Burrows, Meghan Lockwood, Mike Borowczak, Edward Janak, Brian Barber
2018 Education Sciences  
The authors describe the history of STEM and AR leading to authentic science research projects through eight engineering skills/practices (incorporating science, technology, and mathematics) and showcase  ...  ., Girl Scouts) on a research project investigating river quality following the river's restoration.  ...  Burrows analyzed the AR data and drew conclusions; Andrea Burrows wrote the article's study and received feedback from Meghan Lockwood and Brian Barber (study piece) and Mike Borowczak (engineering piece  ... 
doi:10.3390/educsci8010004 fatcat:jxsdfhsymbgt5j4yoffwywyj3m

IDENTIFYING THE INFLUENCE OF TECHNICAL RESOURCES KNOWLEDGE ON PRODUCT QUALITY REQUIREMENTS IN A GLOBAL ENGINEERING PROCESS

2021 International Journal of Mechatronics and Applied Mechanics  
By assessing the level of knowledge, in direct relation to the requirements of the products, the quality of the products can be controlled.  ...  The global engineering process in aerospace organizations is controlled by technically trained resources.  ...  Such data can be considered: Identifying the Influence of Technical Resources Knowledge on Product Quality Requirements in a Global Engineering Process • The number of nonconformities and their type  ... 
doi:10.17683/ijomam/issue9.32 fatcat:tkllrtbzdjdl7gjzfoqj76yp7m

Toward a Lifecycle Information Framework and Technology in Manufacturing

Thomas Hedberg, Allison Barnard Feeney, Moneer Helu, Jaime A. Camelio
2017 Journal of Computing and Information Science in Engineering  
Holistically, the data across the product lifecycle must be considered an unstructured data-set because multiple data repositories and domain-specific schema exist in each phase of the lifecycle.  ...  However, industry has been challenged by the fact that the context in which data is used varies based on the function / role in the product lifecycle that is interacting with the data.  ...  The analytics can mine data that engineers can turn into design information by applying engineering context to the quality data.  ... 
doi:10.1115/1.4034132 pmid:28265224 pmcid:PMC5335795 fatcat:l432wvouqze7xk556rrovr257i

Application Research of Data Mining Technology about Teaching Quality Assessment in Colleges and Universities

Wu Yan
2011 Procedia Engineering  
How to effective, directly and reasonable understand the teaching work that based on the huge amount of data and on a certain degree to transform this relation to the important circle of teaching quality  ...  However, there still have urgency problems to solve in the present teaching quality assessment.  ...  Data mining is also known as "mining knowledge from data", "knowledge mining", "knowledge discover in data". The "knowledge mining" cannot represent the whole process.  ... 
doi:10.1016/j.proeng.2011.08.795 fatcat:pi3got7yhngfxcry6pin6su7zq
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