scholarly journals Automatic Relationship Construction in Domain Ontology Engineering using Semantic and Thematic Graph Generation Process and Convolution Neural Network

2019 ◽  
Vol 8 (3) ◽  
pp. 4602-4611
Keyword(s):  
Generation Process ◽  
Useful Knowledge ◽  
Training Techniques ◽  
Ontology Repository ◽  
Efficient Retrieval ◽  
Long Time ◽  
Search Speed ◽  
Relationship Construction ◽  
Labeling Scheme ◽  
Graph Generation

In recent studies, Ontology construction plays an important role in translating raw text into useful knowledge. The proposed methodology supports efficient retrieval using multidimensional theory and implements integrated data training techniques before enter the trial process. The proposed approach has used the Semantic and Thematic Graph Generation Process to extract useful knowledge, and uses data mining techniques and web solutions to present knowledge as well as improve search speed and information retrieval accuracy. Established ontology can help clarify what it means for different ideas and relationships. Due to the rise of the ontology repository, the process of matching can take a long time. To avoid this, the method produces a hierarchical structure with in-depth interpretation of the data. A system is designed to remove domain dependencies using a dynamic labeling scheme using basic theorem, and the results show that it is possible to automatically and independently construct an independent domain

Parody in the Film Viewed through the Theory of Individuation: The Shining in Ready Player One

2019 ◽  
Vol 39 ◽  
pp. 66-94
Author(s):  
Kwangtaek Park ◽  
Sangjoon Bae
Keyword(s):  
Potential Energy ◽  
Semantic Network ◽  
The Other ◽  
Digital Culture ◽  
Original Text ◽  
Generation Process ◽  
Technical Object ◽  
New Meanings ◽  
Long Time ◽  
Gilbert Simondon

Parody which used as the way of creating for a long time has stood out by the spread of postmodernism. Parody that is defined as ‘repetition that includes difference’ by Linda Hutcheon structure the new semantic network in the process of transforming the original text. This paper focuses on the generation process of parody from the perspective of Gilbert Simondon, the theory of individuation. Likewise, technics and technical object, also the elements of culture have potential energy causing the transduction to the other individual, and individuation is occurred to form the new meanings. That is, parody is the phenomenon of individuation between the contents that have potential energy inside. Parody is animatedly applicated in the part of visual culture due to the progress of the digital culture. Especially film which is the interface between the technology, the industry, and the art, can be said as the advanced guard of parody aesthetics. After the 1970s, parody applied to begin in earnest in film produce abundant meaning in the network between film connecting the numerous work. One of the node of the film, <Ready Player One>(2018) tried parody covering the entire popular culture not only film but also game and so on. In that, <The Shining>(1980) is recontextualized of high importance. In the <The Shining> in the <Ready Player One>, value-neutral parody with no satirical or respectful intent unfolds icon or settings such as typewriter, anniversary picture, maze, and the banquet room. In this progress, after the fundamental elements in the adventure genre are taken the information of the original text, the internal potential energy form the parody. On the other hand, a filmic element such as a film texture rendering and steadycam commemorate the film historical position of the original, at the same time, those are represented in homage parody varied the meaning. Like the aforesaid parody, this brings about the process of individuation, as well as the nostalgia, which leads to trans-contextualization

scholarly journals IMPLEMENTASI ALGORITMA FP-GROWTH MENGGUNAKAN ASSOCIATION RULE PADA MARKET BASKET ANALYSIS

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Fitriyani Fitriyani
Keyword(s):  
Data Processing ◽  
Association Rule ◽  
Large Data ◽  
Frequent Itemset ◽  
Market Basket Analysis ◽  
Transaction Data ◽  
Useful Knowledge ◽  
Long Time ◽  
Growth Method ◽  
Candidate Set

Abstract - The set of data can be processed into information or useful knowledge, one of the data that can be processed is data purchases by consumers. However, large data processing will take a long time in the process. So that these data require appropriate methods in the process. The method is often used in data processing transactions are Apriori, but a great deal less precise data using Apriori because in the process repeatedly scanning the database (candidate set generation). In this study using the FP-Growth method for determining frequent itemset with structure of FP-Tree and Association Rule to determine support and confidence in the transaction data so that the results can be known relationships between an item with other items that are frequently purchased by consumers. Keywords : Apriori, FP-Growth, Association Rule, Transaction, Frequent Itemset. Abstrak - Himpunan data yang besar dapat diolah menjadi informasi atau pengetahuan yang bermanfaat, salah satu data yang dapat diolah adalah data transaksi pembelian barang oleh konsumen. Akan tetapi pemrosesan data yang besar akan membutuhkan waktu yang lama dalam prosesnya. Sehingga data tersebut membutuhkan metode yang tepat dalam proses pengolahannya. Metode yang sering digunakan dalam pengolahan data transaksi adalah Apriori, akan tetapi data yang besar kurang tepat menggunakan Apriori karena dalam prosesnya melakukan scanning berulang kali pada database (candidate set generation). Dalam penelitian ini menggunakan metode FP-Growth untuk menentukan frequent itemset dengan struktur FP-Tree dan Association Rule untuk menentukan support dan confidence pada data transaksi sehingga hasilnya dapat diketahui hubungan-hubungan antara suatu barang dengan barang lainnya yang sering dibeli oleh konsumen. Kata Kunci : Apriori, FP-Growth, Association Rule, Transaction, Frequent Itemset.

School Teachers as Non-Violent Role Models

2019 ◽  
pp. 217-232
Author(s):  
Zoleka Ntshuntshe
Keyword(s):  
Interpersonal Relationships ◽  
Role Models ◽  
Law And Order ◽  
Emotional Wellbeing ◽  
Positive Role ◽  
Useful Knowledge ◽  
Role Modelling ◽  
Care And Support ◽  
Long Time ◽  
Caring Teacher

For a long time in South Africa, schools have relied heavily on corporal punishment as a means to bring law and order in the classroom. This culture of using violence has bred angry and militant children who are not afraid to stand tall and defiant of the teachers meting out this punishment. This chapter will challenge teachers to view the traditional way of using violence to restrain children against viewing new ways in which they can become role models where distressed learners can receive care and support. It will also show the benefits of a caring teacher as it adds to emotional wellbeing and social wellbeing of children which are important in the total outcomes of all children. This chapter will provide teachers with useful knowledge encouraging positive role modelling which fosters positive imitation by children. It is evident that environmental factors and interpersonal relationships will play a big role in achieving this goal; therefore, Bronfenbrenner's ecological systems theory will play a pivotal role in defining the role of the teacher.

Introduction

2017 ◽  
Author(s):  
A.C.C. Coolen ◽  
A. Annibale ◽  
E.S. Roberts
Keyword(s):  
Probability Distribution ◽  
Generation Process ◽  
Stationary Probability Distribution ◽  
Important Distinction ◽  
Scope Of Application ◽  
Stochastic Graph ◽  
Mathematical Connection ◽  
Graph Generation

This introductory chapter sets the scene for the material which follows by briefly introducing the study of networks and describing their wide scope of application. It discusses the role of well-specified random graphs in setting network science onto a firm scientific footing, emphasizing the importance of well-defined null models. Non-trivial aspects of graph generation are introduced. An important distinction is made between approaches that begin with a desired probability distribution on the final graph ensembles and approaches where the graph generation process is the main object of interest and the challenge is to analyze the expected topological properties of the generated networks. At the core of the graph generation process is the need to establish a mathematical connection between the stochastic graph generation process and the stationary probability distribution to which these processes evolve.

Data Mining-Based CBIR System

2018 ◽  
pp. 440-457
Author(s):  
Shruti Kohli ◽  
Vijay Shankar Gupta
Keyword(s):  
Data Mining ◽  
Social Network Sites ◽  
Image Databases ◽  
Multimedia Data ◽  
Content Based Image Retrieval ◽  
The Internet ◽  
Multimedia Networks ◽  
Useful Knowledge ◽  
Large Databases ◽  
Efficient Retrieval

Multimedia mining primarily involves information analysis and retrieval based on implicit knowledge. The ever increasing digital image databases on the internet has created a need for using multimedia mining on these databases for effective and efficient retrieval of images. Contents of an image can be expressed in different features such as Shape, Texture and Intensity-distribution (STI). Content Based Image Retrieval (CBIR) is the efficient retrieval of relevant images from large databases based on features extracted from the image. The emergence and proliferation of social network sites such as Facebook, Twitter and LinkedIn and other multimedia networks such as Flickr has further accelerated the need of efficient CBIR systems. Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging task. Most of the existing systems either concentrate on a single representation of all features or linear combination of these features. The need of the day is New Image Mining techniques need to be explored and a self-adaptable CBIR system needs to be developed.

Efficient retrieval of ontology fragments using an interval labeling scheme

2009 ◽  
Vol 179 (24) ◽  
pp. 4151-4173 ◽  
Author(s):  
Victoria Nebot ◽  
Rafael Berlanga
Keyword(s):  
Efficient Retrieval ◽  
Labeling Scheme

scholarly journals A Dependency Graph Generation Process for Client-side Web Applications

2015 ◽  
Vol 7 (2) ◽  
pp. 38-50
Author(s):  
Tajkia R. Toma ◽  
◽  
Mohayeminul Islam ◽  
Mohammad Shoyaib ◽  
Shariful Islam
Keyword(s):  
Web Applications ◽  
Dependency Graph ◽  
Generation Process ◽  
Client Side ◽  
Graph Generation

Data Mining-Based CBIR System

2016 ◽  
pp. 244-261
Author(s):  
Shruti Kohli ◽  
Vijay Shankar Gupta
Keyword(s):  
Data Mining ◽  
Social Network Sites ◽  
Image Databases ◽  
Multimedia Data ◽  
Content Based Image Retrieval ◽  
The Internet ◽  
Multimedia Networks ◽  
Useful Knowledge ◽  
Large Databases ◽  
Efficient Retrieval

Multimedia mining primarily involves information analysis and retrieval based on implicit knowledge. The ever increasing digital image databases on the internet has created a need for using multimedia mining on these databases for effective and efficient retrieval of images. Contents of an image can be expressed in different features such as Shape, Texture and Intensity-distribution (STI). Content Based Image Retrieval (CBIR) is the efficient retrieval of relevant images from large databases based on features extracted from the image. The emergence and proliferation of social network sites such as Facebook, Twitter and LinkedIn and other multimedia networks such as Flickr has further accelerated the need of efficient CBIR systems. Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging task. Most of the existing systems either concentrate on a single representation of all features or linear combination of these features. The need of the day is New Image Mining techniques need to be explored and a self-adaptable CBIR system needs to be developed.

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