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Journal articles on the topic 'Database management. Querying (Computer science)'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Buneman, O. P., S. B. Davidson, and A. Watters. "Querying independent databases." Information Sciences 52, no. 1 (1990): 1–34. http://dx.doi.org/10.1016/0020-0255(90)90033-7.

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Bouaziz, Rafik, Salem Chakhar, Vincent Mousseau, Sudha Ram, and Abdelkader Telmoudi. "Database design and querying within the fuzzy semantic model." Information Sciences 177, no. 21 (2007): 4598–620. http://dx.doi.org/10.1016/j.ins.2007.05.013.

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Kacprzyk, Janusz, and Sławomir Zadrożny. "Computing with words in intelligent database querying: standalone and Internet-based applications." Information Sciences 134, no. 1-4 (2001): 71–109. http://dx.doi.org/10.1016/s0020-0255(01)00093-7.

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Koprulu, Mesru, Nihan Kesim Cicekli, and Adnan Yazici. "Spatio-temporal querying in video databases." Information Sciences 160, no. 1-4 (2004): 131–52. http://dx.doi.org/10.1016/j.ins.2003.08.011.

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Erozel, Guzen, Nihan Kesim Cicekli, and Ilyas Cicekli. "Natural language querying for video databases." Information Sciences 178, no. 12 (2008): 2534–52. http://dx.doi.org/10.1016/j.ins.2008.02.001.

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Sözer, Aziz, Adnan Yazıcı, Halit Oğuztüzün, and Osman Taş. "Modeling and querying fuzzy spatiotemporal databases." Information Sciences 178, no. 19 (2008): 3665–82. http://dx.doi.org/10.1016/j.ins.2008.05.034.

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Yarygina, Anna, and Boris Novikov. "Optimizing resource allocation for approximate real-time query processing." Computer Science and Information Systems 11, no. 1 (2014): 69–88. http://dx.doi.org/10.2298/csis120825063y.

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Query optimization techniques are proved to be essential for high performance of database management systems. In the context of new querying paradigms, such as similarity based search, exact query evaluation is neither computationally feasible nor meaningful, and approximate query evaluation is the only reasonable option. In this paper a problem of resource allocation for approximate evaluation of complex queries is considered. An approximate algorithm for a near-optimal resource allocation is presented, providing the best feasible quality of the output subject to a limited total cost of a que

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Xue, Qiang, Sakti Pramanik, Gang Qiang, and Qiang Zhu. "A hybrid index structure for querying large string databases." International Journal of Electronic Business 3, no. 3/4 (2005): 243. http://dx.doi.org/10.1504/ijeb.2005.007269.

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Gammoudi, Aymen, Allel Hadjali, and Boutheina Ben Yaghlane. "Fuzz-TIME: an intelligent system for managing fuzzy temporal information." International Journal of Intelligent Computing and Cybernetics 10, no. 2 (2017): 200–222. http://dx.doi.org/10.1108/ijicc-09-2016-0036.

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Purpose Time modeling is a crucial feature in many application domains. However, temporal information often is not crisp, but is subjective and fuzzy. The purpose of this paper is to address the issue related to the modeling and handling of imperfection inherent to both temporal relations and intervals. Design/methodology/approach On the one hand, fuzzy extensions of Allen temporal relations are investigated and, on the other hand, extended temporal relations to define the positions of two fuzzy time intervals are introduced. Then, a database system, called Fuzzy Temporal Information Managemen

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Samson, Grace L., Joan Lu, and Aminat A. Showole. "Mining Complex Spatial Patterns: Issues and Techniques." Journal of Information & Knowledge Management 13, no. 02 (2014): 1450019. http://dx.doi.org/10.1142/s0219649214500191.

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Spatial data mining is the quantitative study of phenomena that are located in space. This paper investigates methods of mining patterns of a complex spatial data set (which generally describes any kind of data where the location in space of object holds importance). We based this research on the analysis of some spatial characteristics of certain objects. We began with describing the spatial pattern of events or objects with respect to their attributes; we looked at how to describe the spatial nature/characteristics of entities in an environment with respect to their spatial and non-spatial a

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Ongaro-Carcy, Régis, Marie-Pier Scott-Boyer, Adrien Dessemond, et al. "KibioR & Kibio: a new architecture for next-generation data querying and sharing in big biology." Bioinformatics 37, no. 17 (2021): 2706–13. http://dx.doi.org/10.1093/bioinformatics/btab157.

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Abstract Motivation The growing production of massive heterogeneous biological data offers opportunities for new discoveries. However, performing multi-omics data analysis is challenging, and researchers are forced to handle the ever-increasing complexity of both data management and evolution of our biological understanding. Substantial efforts have been made to unify biological datasets into integrated systems. Unfortunately, they are not easily scalable, deployable and searchable, locally or globally. Results This publication presents two tools with a simple structure that can help any data

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Tsai, Chih-Fong, Shih-Wen Ke, Kenneth McGarry, and Ming-Yi Lin. "LocalContent: a personal scientific document retrieval system." Electronic Library 33, no. 3 (2015): 373–85. http://dx.doi.org/10.1108/el-08-2013-0148.

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Purpose – The purpose of this paper is to introduce a novel personal scientific document retrieval system. The most common approach taken for the storage of personal documents is to construct a hierarchical folder structure. Most users prefer searching for documents by manually traversing their organizational hierarchy until reaching the location where the target item is stored, then locating the specific documents within its directory or folder. However, this is very time-consuming, especially when the number of personal scientific documents is very large. Unfortunately, related personal info

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Ambritta P, Nancy, Poonam N. Railkar, and Parikshit N. Mahalle. "Collaborative Mutual Identity Establishment (CMIE) for the future internet." International Journal of Pervasive Computing and Communications 11, no. 4 (2015): 398–417. http://dx.doi.org/10.1108/ijpcc-04-2015-0024.

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Purpose – This paper aims at providing a comparative analysis of the existing protocols that address the security issues in the Future Internet (FI) and also to introduce a Collaborative Mutual Identity Establishment (CMIE) scheme which adopts the elliptical curve cryptography (ECC), to address the issues, such as content integrity, mutual authentication, forward secrecy, auditability and resistance to attacks such as denial-of-service (DoS) and replay attack. Design/methodology/approach – This paper provides a comparative analysis of the existing protocols that address the security issues in

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Gard, Matthew, Derrick Hasterok, and Jacqueline A. Halpin. "Global whole-rock geochemical database compilation." Earth System Science Data 11, no. 4 (2019): 1553–66. http://dx.doi.org/10.5194/essd-11-1553-2019.

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Abstract. Collation and dissemination of geochemical data are critical to promote rapid, creative, and accurate research and place new results in an appropriate global context. To this end, we have compiled a global whole-rock geochemical database, sourced from various existing databases and supplemented with an extensive list of individual publications. Currently the database stands at 1 022 092 samples with varying amounts of associated sample data, including major and trace element concentrations, isotopic ratios, and location information. Spatial and temporal distribution is heterogeneous;

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Matthé, Tom, Guy De Tré, Sławomir Zadrożny, Janusz Kacprzyk, and Antoon Bronselaer. "Bipolar database querying using bipolar satisfaction degrees." International Journal of Intelligent Systems 26, no. 10 (2011): 890–910. http://dx.doi.org/10.1002/int.20505.

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Lutfi, R., M. Gelgon, and J. Martinez. "Structuring and Querying Documents in an Audio Database Management System." Multimedia Tools and Applications 24, no. 2 (2004): 105–23. http://dx.doi.org/10.1023/b:mtap.0000036839.24141.9e.

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TRIGANO, PHILIPPE, JEAN-PAUL BARTHES, CATHERINE GREBOVAL, and FRANÇOIS VALLERNAUD. "QUERYING AN OBJECT-ORIENTED DATABASE USING FREE LANGUAGE." International Journal of Pattern Recognition and Artificial Intelligence 04, no. 03 (1990): 429–45. http://dx.doi.org/10.1142/s0218001490000265.

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A man-machine interface in natural language for a DataBase Management System (DBMS) called VORAS, based upon semantics, is presented. This DBMS can also be used for knowledge representation, and is well-suited to the design of queries in natural language. The system VORAS is an object-oriented DBMS developed from a specific model of representation called the Property Driven Model (PDM). A user may write a query in natural language. Most of the analysis is done at a semantic level. A syntactic level has been added, to improve the performance of the system. However, it is still possible to use a

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Gehani, Ashish, Raza Ahmad, Hassan Irshad, Jianqiao Zhu, and Jignesh Patel. "Digging into Big Provenance (with SPADE)." Queue 19, no. 3 (2021): 77–106. http://dx.doi.org/10.1145/3475965.3476885.

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Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is different from the graph-oriented one that is natural for provenance. Others have intuitive constructs for finding results but have limited support for efficiently chaining responses, as needed for faceted search. This article presents a user interface for querying provenance that addresses these concerns and is agnostic to the underlying database being used.

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Hudec, Miroslav. "An approach to fuzzy database querying, analysis and realization." Computer Science and Information Systems 6, no. 2 (2009): 127–40. http://dx.doi.org/10.2298/csis0902127h.

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Although the Structured Query Language (SQL) is a very powerful tool, it is unable to satisfy needs for data selection based on linguistic expressions and degrees of truth. The goal of the research whose results are presented in the paper is to capture these expressions and make them suitable for queries. For this purpose the fuzzy generalized logical condition for the WHERE part of SQL was developed. In this way, queries based on linguistic expressions are supported and are accessing relational databases in the same way as with the SQL. Fuzzy query is not only a querying tool; it improves the

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Wang, Jia-Wen, Jing-Rong Chang, and Ching-Hsue Cheng. "Flexible fuzzy OWA querying method for hemodialysis database." Soft Computing 10, no. 11 (2005): 1031–42. http://dx.doi.org/10.1007/s00500-005-0030-x.

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Xu, Boyan, Ruichu Cai, Zhenjie Zhang, et al. "NADAQ: Natural Language Database Querying Based on Deep Learning." IEEE Access 7 (2019): 35012–17. http://dx.doi.org/10.1109/access.2019.2904720.

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Kejriwal, Mayank, Juan Sequeda, and Vanessa Lopez. "Knowledge graphs: Construction, management and querying." Semantic Web 10, no. 6 (2019): 961–62. http://dx.doi.org/10.3233/sw-190370.

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Holzschuher, Florian, and René Peinl. "Querying a graph database – language selection and performance considerations." Journal of Computer and System Sciences 82, no. 1 (2016): 45–68. http://dx.doi.org/10.1016/j.jcss.2015.06.006.

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Qtaish, Amjad, and Mohammad T. Alshammari. "A Narrative Review of Storing and Querying XML Documents Using Relational Database." Journal of Information & Knowledge Management 18, no. 04 (2019): 1950048. http://dx.doi.org/10.1142/s0219649219500485.

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Extensible Markup Language (XML) has become a common language for data interchange and data representation in the Web. The evolution of the big data environment and the large volume of data which is being represented by XML on the Web increase the challenges in effectively managing such data in terms of storing and querying. Numerous solutions have been introduced to store and query XML data, including the file systems, Object-Oriented Database (OODB), Native XML Database (NXD), and Relational Database (RDB). Previous research attempts indicate that RDB is the most powerful technology for mana

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Nanopoulos, Alexandros, Maciej Zakrzewicz, Tadeusz Morzy, and Yannis Manolopoulos. "Efficient storage and querying of sequential patterns in database systems⋆." Information and Software Technology 45, no. 1 (2003): 23–34. http://dx.doi.org/10.1016/s0950-5849(02)00158-1.

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Nadkarni, Prakash M. "QAV: querying entity-attribute-value metadata in a biomedical database." Computer Methods and Programs in Biomedicine 53, no. 2 (1997): 93–103. http://dx.doi.org/10.1016/s0169-2607(97)01815-4.

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27

Fakheraldien. "An Efficient Middleware for Storing and Querying XML Data in Relational Database Management System." Journal of Computer Science 7, no. 2 (2011): 314–19. http://dx.doi.org/10.3844/jcssp.2011.314.319.

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Kucuktunc, Onur, Ugur Gudukbay, and Ozgur Ulusoy. "A Natural Language-Based Interface for Querying a Video Database." IEEE Multimedia 14, no. 1 (2007): 83–89. http://dx.doi.org/10.1109/mmul.2007.1.

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Bais, Hanane, Mustapha Machkour, and Lahcen Koutti. "A Model of a Generic Natural Language Interface for Querying Database." International Journal of Intelligent Systems and Applications 8, no. 2 (2016): 35–44. http://dx.doi.org/10.5815/ijisa.2016.02.05.

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Majhadi, Khadija, and Mustapha Machkour. "The history and recent advances of Natural Language Interfaces for Databases Querying." E3S Web of Conferences 229 (2021): 01039. http://dx.doi.org/10.1051/e3sconf/202122901039.

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Databases have been always the most important topic in the study of information systems, and an indispensable tool in all information management systems. However, the extraction of information stored in these databases is generally carried out using queries expressed in a computer language, such as SQL (Structured Query Language). This generally has the effect of limiting the number of potential users, in particular non-expert database users who must know the database structure to write such requests. One solution to this problem is to use Natural Language Interface (NLI), to communicate with

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31

Borthick, A. Faye, Paul L. Bowen, and Gregory J. Gerard. "Modeling a Business Process and Querying the Resulting Database: Analyzing RFID Data to Develop Business Intelligence." Journal of Information Systems 22, no. 2 (2008): 331–50. http://dx.doi.org/10.2308/jis.2008.22.2.331.

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ABSTRACT: This case supports the high-level objective of learning to model business situations to design databases and query them to solve business problems. Students analyze Radio Frequency Identification (RFID) and related fulfillment data to develop business intelligence for a grower of bedding plants selling to big-box retailers. Students prepare a business process diagram to understand the business process; identify objectives for detecting and correcting data errors and analyzing business performance; construct a Resource, Event, Agent (REA) diagram to specify a database design; implemen

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Borthick, A. Faye, and Mary B. Curtis. "Due Diligence on Fast-Fashion Inventory through Data Querying." Journal of Information Systems 22, no. 1 (2008): 77–93. http://dx.doi.org/10.2308/jis.2008.22.1.77.

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In this simulation of a merger and acquisition due diligence engagement for a fast-fashion retailer's inventory account, learners develop IT audit skills by (1) preparing a business process representation, (2) identifying audit objectives for testing management assertions about inventory, (3) designing audit procedures to implement audit objectives, (4) querying data files to execute audit procedures, and (5) communicating results. The simulation develops skills for analyzing data to verify the internal consistency of accounting records and to detect conditions warranting further investigation

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Eckman, B., P. C. West, C. Barford, and G. Raber. "Intuitive simulation, querying, and visualization for river basin policy and management." IBM Journal of Research and Development 53, no. 3 (2009): 7:1–7:18. http://dx.doi.org/10.1147/jrd.2009.5429020.

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Lings, BJ. "Database management." Data Processing 28, no. 1 (1986): 51. http://dx.doi.org/10.1016/0011-684x(86)90208-x.

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Borthick, A. Faye, and Donald R. Jones. "Creating a Business Process Diagram and Database Queries to Detect Billing Errors and Analyze Calling Patterns for Cell Phone Service." Journal of Information Systems 21, no. 1 (2007): 107–22. http://dx.doi.org/10.2308/jis.2007.21.1.107.

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In this case, students develop a business process diagram to understand the business situation and create database queries to detect billing discrepancies and manage costs for corporate cell phone service. Using a database query tool or audit software, students query a database with tables for call details, invoices, invoice details, plan rates, and users on plan. The queries are representative of those that accountants could develop to analyze transaction-level data to detect errors and develop insights about business operations. Query-based approaches to analyzing transaction data can enable

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Curé, Oliver, Fadhela Kerdjoudj, David Faye, Chan Le Duc, and Myriam Lamolle. "On The Potential Integration of an Ontology-Based Data Access Approach in NoSQL Stores." International Journal of Distributed Systems and Technologies 4, no. 3 (2013): 17–30. http://dx.doi.org/10.4018/jdst.2013070102.

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NoSQL stores are emerging as an efficient alternative to relational database management systems in the context of big data. Many actors in this domain consider that to gain a wider adoption, several extensions have to be integrated. Some of them focus on the ways of proposing more schemas, supporting adapted declarative query languages and providing integrity constraints in order to control data consistency and enhance data quality. The authors consider that these issues can be dealt with in the context of Ontology Based Data Access (OBDA). OBDA is a new data management paradigm that exploits

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Dubois, D., H. Prade, and F. Sedes. "Fuzzy logic techniques in multimedia database querying: a preliminary investigation of the potentials." IEEE Transactions on Knowledge and Data Engineering 13, no. 3 (2001): 383–92. http://dx.doi.org/10.1109/69.929896.

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Qin, Xiaoyu, Xiaowang Zhang, Muhammad Qasim Yasin, Shujun Wang, Zhiyong Feng, and Guohui Xiao. "SUMA: A Partial Materialization-Based Scalable Query Answering in OWL 2 DL." Data Science and Engineering 6, no. 2 (2021): 229–45. http://dx.doi.org/10.1007/s41019-020-00150-0.

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AbstractOntology-mediated querying (OMQ) provides a paradigm for query answering according to which users not only query records at the database but also query implicit information inferred from ontology. A key challenge in OMQ is that the implicit information may be infinite, which cannot be stored at the database and queried by off -the -shelf query engine. The commonly adopted technique to deal with infinite entailments is query rewriting, which, however, comes at the cost of query rewriting at runtime. In this work, the partial materialization method is proposed to ensure that the extensio

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Borthick, A. Faye, and Donald R. Jones. "Analyzing a Potential Warranty Call Center Budget Overrun: Using Database Queries to Solve Business Problems." Journal of Information Systems 19, no. 1 (2005): 97–111. http://dx.doi.org/10.2308/jis.2005.19.1.97.

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In this case, students develop and use database queries to analyze possible causes of a potential budget overrun for telephone warranty service for a company that sells personal computers (PCs). Students query a Microsoft Access® database with tables for sales of PCs, estimates for technician time, employees, technician costs, and service minutes provided. The queries illustrate those that accountants could prepare to analyze transaction-level data to develop insights about business operations. Query-based approaches to analyzing transaction data are likely to become more common as businesses

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Alamri, Sultan. "Spatial data managements in indoor environments." International Journal of Web Information Systems 14, no. 4 (2018): 402–22. http://dx.doi.org/10.1108/ijwis-05-2018-0039.

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Purpose With the rapid development of the indoor spaces positioning technologies such as the radio-frequency identification (RFID), Bluetooth and WI-FI, the locations of indoor spatial objects (static or moving) constitute an important foundation for a variety of applications. However, there are many challenges and limitations associated with the structuring and querying of spatial objects in indoor spaces. The purpose of this study is to address the current trends, limitations and future challenges associated with the structuring and querying of spatial objects in indoor spaces. Also it addre

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BenAli-Sougui, Ines, Minyar Sassi Hidri, and Amel Grissa-Touzi. "No-FSQL." International Journal of Fuzzy System Applications 5, no. 2 (2016): 54–63. http://dx.doi.org/10.4018/ijfsa.2016040104.

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NoSQL (Not only SQL) is an efficient database model for storing and manipulating huge quantities of precise data. However, most NoSQL databases scale well as data grows and often are flexible enough to accommodate imprecise and ambiguous data. This comprehensive hands-on guide presents fundamental concepts and practical solutions for using fuzziness with NoSQL to deals with fuzzy databases (FDB). In this paper, the authors present a graph-based fuzzy NoSQL model to deal with large fuzzy databases while extending the NoSQL one. The authors consider the cypher declarative query language proposed

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MAY, WOLFGANG. "XPath-logic and XPathLog: A logic-programming style XML data manipulation language." Theory and Practice of Logic Programming 4, no. 3 (2004): 239–87. http://dx.doi.org/10.1017/s147106840300187x.

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We define XPathLog as a Datalog-style extension of XPath. XPathLog provides a clear, declarative language for querying and manipulating XML whose perspectives are especially in XML data integration. In our characterization, the formal semantics is defined wrt. an edge-labeled graph-based model, which covers the XML data model. We give a complete, logic-based characterization of XML data and the main language concept for XML, XPath. XPath-Logic extends the XPath language with variable bindings and embeds it into first-order logic. XPathLog is then the Horn fragment of XPath-Logic, providing a D

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Wang, Sheng, Zhifeng Bao, J. Shane Culpepper, and Gao Cong. "A Survey on Trajectory Data Management, Analytics, and Learning." ACM Computing Surveys 54, no. 2 (2021): 1–36. http://dx.doi.org/10.1145/3440207.

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Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage and analyze the data being produced. In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only and spatial-textual trajectory data, and trajectory clustering. We also explore four closely related analytical tasks commonly used with trajectory

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HWANG, DOOSUNG, FARSHAD FOTOUHI, and YOUNGJU SON. "A CASE STUDY: DEVELOPMENT OF AN ORGANISM–SPECIFIC PROTEIN INTERACTION DATABASE AND ITS ASSOCIATED TOOLS." International Journal of Cooperative Information Systems 12, no. 02 (2003): 225–39. http://dx.doi.org/10.1142/s0218843003000723.

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In this paper, we describe the architecture of a protein interaction database and tools for manipulating Drosophila protein interaction data. The proposed system not only maintains interaction data collected by an experiment, but also associates the interaction data with valuable data from various genomic databases. The system inherits a layered-modular architecture by introducing a wrapper-mediator approach in order to solve the syntactic and semantic heterogeneity among multiple data sources. The component modules for wrapping and integrating the relevant data, querying the database, and vis

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Medvedev, Danny, Uri Shani, and Dov Dori. "Gaining Insights into Conceptual Models: A Graph-Theoretic Querying Approach." Applied Sciences 11, no. 2 (2021): 765. http://dx.doi.org/10.3390/app11020765.

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Modern complex systems include products and services that comprise many interconnected pieces of integrated hardware and software, which are expected to serve humans interacting with them. As technology advances, expectations of a smooth, flawless system operation grow. Model-based systems engineering, an approach based on conceptual models, copes with this challenge. Models help construct formal system representations, visualize them, understand the design, simulate the system, and discover design flaws early on. Modeling tools can benefit tremendously from querying capabilities that enable g

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BRACHMAN, RONALD J., PETER G. SELFRIDGE, LOREN G. TERVEEN, et al. "INTEGRATED SUPPORT FOR DATA ARCHAEOLOGY." International Journal of Cooperative Information Systems 02, no. 02 (1993): 159–85. http://dx.doi.org/10.1142/s0218215793000083.

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Corporate databases increasingly are being viewed as potentially rich sources of new and valuable knowledge. Various approaches to “discovering” or “mining” such knowledge have been proposed. Here we identify an important and previously ignored discovery task, which we call data archaeology. Data archaeology is a skilled human task, in which the knowledge sought depends on the goals of the analyst, cannot be specified in advance, and emerges only through an iterative process of data segmentation and analysis. We describe a system that supports the data archaeologist with a natural, object-orie

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Borthick, A. Faye, and Paul L. Bowen. "Auditing System Development: Constructing the Meaning of “Systematic and Rational” in the Context of Legacy Code Migration for Vendor Incentives." Journal of Information Systems 22, no. 1 (2008): 47–62. http://dx.doi.org/10.2308/jis.2008.22.1.47.

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This simulation affords an opportunity for learning to audit system development for an accounting application. The simulation responds to the growing emphasis on controlling system development for complying with the internal control assurance requirements of Section 404 of the Sarbanes-Oxley Act of 2002 (U.S. House of Representatives). Because of the lack of detailed accounting standards for vendor incentives, learners have to construct a working definition of “systematic and rational” allocation of incentives in order to develop audit objectives and procedures. In the simulation, learners (1)

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He, Qing, and Xiao Qin Li. "Management of Knowledge Base of Expert System for Fault Diagnosis of Rotating Machinery." Applied Mechanics and Materials 44-47 (December 2010): 2935–39. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2935.

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Expert system as a computer program can imitate human experts to diagnose fault of rotating machinery quickly and accurately, which makes diagnose automatically and intelligently and offers a guarantee for device operation in security, stability, and high-quality. The performance of diagnosis system will be degraded if the organization and management of fault diagnosis knowledge of rotating machinery that is more and complex are illogical. For this reason, the fault knowledge is divided according to the different parts and stored in databases in the form of production rules. As a result, the q

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Song, Dezhao, Frank Schilder, Shai Hertz, et al. "Building and Querying an Enterprise Knowledge Graph." IEEE Transactions on Services Computing 12, no. 3 (2019): 356–69. http://dx.doi.org/10.1109/tsc.2017.2711600.

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Kohutyuk, Oksana, Fadi Towfic, M. Heather West Greenlee, and Vasant Honavar. "BioNetwork Bench: Database and Software for Storage, Query, and Analysis of Gene and Protein Networks." Bioinformatics and Biology Insights 6 (January 2012): BBI.S9728. http://dx.doi.org/10.4137/bbi.s9728.

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Abstract:

Gene and protein networks offer a powerful approach for integration of the disparate yet complimentary types of data that result from high-throughput analyses. Although many tools and databases are currently available for accessing such data, they are left unutilized by bench scientists as they generally lack features for effective analysis and integration of both public and private datasets and do not offer an intuitive interface for use by scientists with limited computational expertise. We describe BioNetwork Bench, an open source, user-friendly suite of database and software tools for cons

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