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A novel ER model to relational model transformation algorithm for semantically clear high quality database design
[article]
2013
arXiv
pre-print
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Conceptual modelling using the entity relationship (ER) model has been widely used for database design for a long period of time. ...
However, studies indicate that creating a satisfactory relational model representation from an ER model is uncertain due to the insufficiencies both in the transformation methods used and in the relational ...
CONCLUSION The existing ER to relational transformation algorithm is not able to provide a straightforward transformation of an ER model, and it also fails to transform most of the semantic information ...
arXiv:1306.6734v1
fatcat:e2dvz3jlvjhr7g6shpxjeij42i
An integrated personalization framework for SaaS-based cloud services
2015
Future generations computer systems
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The approach we adapt in the design and development of the proposed framework is to synthesize various models and techniques in a novel way. ...
This paper introduces a fully designed, cloud-enabled personalization framework to facilitate the collection of preferences and the delivery of corresponding SaaS services. ...
It also o↵ers a personalization outcome with relative high accuracy. ...
doi:10.1016/j.future.2015.05.011
fatcat:iqic2upcmfevrpejim732ydzdm
dbTrento
2012
SIGMOD record
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Acknowledgments We thank all our postdoc, PhD and MSc students for their dedication and hard work: S. Bykau, A. ...
However, it is not clear what value of that score is high enough for such a decision, especially across different score computation methods. ...
The mission of the group is to conduct high quality research on different aspects of large scale data and information management. ...
doi:10.1145/2380776.2380784
fatcat:uptldmre7jggje2tkhkkfa7ecq
Semi-automatic Conceptual Data Modeling Using Entity and Relationship Instance Repositories
[chapter]
2011
Lecture Notes in Computer Science
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It is necessary to make it correct, as a poorly designed conceptual data model can lead to a poor database; hence, high costs and poor performance for decades to come. ...
Even expert designers could fail to obtain a quality conceptual model due to their lack of domain knowledge, unless they have a clear perception of a requirement specification (N. ...
Figure A.7 A Screenshot of Step 6 in EIPW Step 7: Identify relationships, which are not detected by RIR, by applying a modeling rule. ...
doi:10.1007/978-3-642-24606-7_17
fatcat:ru37lvovmfbf7klpzf2ctlddsi
Systematic design and implementation of a semantic assistance system for aero-engine design and manufacturing
2021
International Journal of Metadata, Semantics and Ontologies
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This paper focuses on addressing these problems for an aerospace company by using semantic technologies to design and develop an assistance system using existing infrastructure. ...
In this paper, a systematic approach is followed to design a system, which integrates data silos by using a common ontology. ...
Acknowledgements Cockpit 4.0 (CustOmised Collaborative Knowledge Pilot for Industrial Technology) is a collaboration project between Rolls-Royce Deutschland, Fraunhofer Institute for Production Systems ...
doi:10.1504/ijmso.2021.10042764
fatcat:yxulaiy3gvabdmynhybf5p4u5m
Towards intelligent image retrieval
2002
Pattern Recognition
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Research into techniques for the retrieval of images by semantic content is still in its infancy. ...
This paper reviews recent trends in the "eld, distinguishing four separate lines of activity: automatic scene analysis, model-based and statistical approaches to object classi"cation, and adaptive learning ...
ers semantic retrieval, they show that it can be used to retrieve images of objects such as tigers and aircraft from a database. ...
doi:10.1016/s0031-3203(01)00038-3
fatcat:vgxce4mdxve6biancde3k4q4ae
Raising Time Awareness in Model-Driven Engineering: Vision Paper
2017
2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)
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We envision that Model-Driven Engineering (MDE) would be an appropriate ecosystem for a seamless and orthogonal integration of time into domain modelling and processing. ...
The conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mobilisation of companies into adopting it becomes increasingly important. ...
Generally, either they adapt the semantics of the existing ER model constructs to support temporal data, or introduce new constructs to the ER model. ...
doi:10.1109/models.2017.11
dblp:conf/models/Benelallam0MFBB17
fatcat:23gqmdrcinfytpn2suiurezrzq
FRBR-ML: A FRBR-based framework for semantic interoperability
2012
Semantic Web Journal
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On one hand, this is a syntactic problem that can be solved by transforming to formats that are compatible with the tools and services used for semantic aware services. ...
The model is generally accepted as sufficiently generic to serve as a conceptual framework for a broad range of cultural heritage metadata. ...
Acknowledgement We thank the National Library of Norway for providing us an access to the NORBOK -The National Bibliography of Norway. ...
doi:10.3233/sw-2012-0044
fatcat:sldtm4gqizferf5s6jykxypkx4
Different Data Mining Approaches Based Medical Text Data
2021
Journal of Healthcare Engineering
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As a natural language, they are characterized by semistructured, high-dimensional, high data volume semantics and cannot participate in arithmetic operations. ...
We also explored the applications of algorithms for providing insights to the users and enabling them to use the resources for the specific challenges in medical text data. ...
Data mining is with many advantages in contrast to the traditional model for transforming data to knowledge with some manual analysis and interpretation. ...
doi:10.1155/2021/1285167
pmid:34912530
pmcid:PMC8668297
fatcat:sr6zc5lfpvabdfgcd57uif76m4
Investigating reverse engineering technologies for the CAS program understanding project
1994
IBM Systems Journal
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All groups are using the source code of SQL DS a multi-million line relational database system as the reference legacy system. ...
The reference system: SQL DS SQL DS Structured Query Language Data System is a large relational database management system that has evolved since 1976. ...
We wish to thank the SQL DS group members at IBM for their participation and the sta at CAS for their support. Finally, w e are deeply indebted to Jacob Slonim for his continued guidance ...
doi:10.1147/sj.333.0477
fatcat:mwccbe66qfdkfgoqa3kuiq4kjq
Deep learning-based breast region extraction of mammographic images combining pre-processing methods and semantic segmentation supported by Deeplab v3+
2022
Technology and Health Care
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CLAHE and semantic segmentation using Deeplab v3+ model. ...
The results outperform those generated by other recent researches and are indicative of the capacity of the model to retain its accuracy and runtime advantage across different databases with different ...
[21] applied a preprocessing method to the mini-MIAS database that first transformed all images to the same orientation. Then, a CLAHE algorithm was applied for contrast enhancement. ...
doi:10.3233/thc-228017
pmid:35124595
pmcid:PMC9028646
fatcat:gaekxdmfpzcslm5f7loaj6qwle
Evidence-based lean logic profiles for conceptual data modelling languages
[article]
2019
arXiv
pre-print
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In addition, due to the lack of a systematic design process of the logic used for the formalisation, hidden choices permeate the formalisations that have rendered them incompatible. ...
We aim to address these problems, first, by structuring the logic design process in a methodological way. ...
Notably, ER and EER originate from the relational database community [27] , UML Class Diagrams from object-oriented programming [80] , and ORM [52] bears similarities with semantic networks and can ...
arXiv:1809.03001v2
fatcat:nvbx3nhshbckxok75z5mi7gh2y
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans
[article]
2019
arXiv
pre-print
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We propose an algorithm that analyzes these "rescans" to infer a temporal model of a scene with semantic instance information. ...
During experiments with a new benchmark for the new task, our algorithm outperforms alternate approaches based on state-of-the-art networks for semantic instance segmentation. ...
Acknowledgments We would like to thank Angel X. Chang and Manolis Savva for insightful discussions. We also thank Graham et al. [21] and Liu et al. ...
arXiv:1909.11268v1
fatcat:peg7makkunbhdkschsv5xwqvni
Clustering- and Transformer-Based Networks for the Style Analysis of Logo Images
2022
Computational Intelligence and Neuroscience
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We validate our approach by creating the logo image dataset JN Logo, a proposed database for image quality and style attributes, containing 14922 logo design images. ...
To solve this problem, we propose a clustering method that uses K-Means clustering and visual transformer model to group the styles of the logo database. ...
In order to obtain better clustering performance, we designed a novel method named deep transformer-based cluster (DTCluster) based on visual transformer and K-Means. e specific steps are as follows. e ...
doi:10.1155/2022/2090712
pmid:35586108
pmcid:PMC9110149
fatcat:3ungvrkip5htthlfque6xbdb7y
Extending SQL with Graph Matching and Set Covering for Decision Support Applications
1994
Journal of Management Information Systems
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Figure 5 shows the semantics of this construct by using ER diagrams.
4.1.3. ...
Extending a database system with procedures. ACM Transactions on Database Systems, 12, 3 (1987), 350-376.
47. Zheng, W.M. A novel rotating orthogonal method for combinatorial optimization. ...
doi:10.1080/07421222.1994.11518032
fatcat:u2aqfw23pnf3vkzjebpck5z25y
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