Adaptive Computation Paradigm in Knowledge Representation

2009 ◽  
pp. 301-314
Author(s):  
Marina L. Gavrilova
Keyword(s):  
Knowledge Representation ◽  
Software Systems ◽  
New Paradigm ◽  
Information System Design ◽  
Adaptive Computation ◽  
Data Intensive ◽  
Collaborative Environment ◽  
Adaptive Models ◽  
E Learning ◽  
Computational Sciences

The constant demand for complex applications, the ever increasing complexity and size of software systems, and the inherently complicated nature of the information drive the needs for developing radically new approaches for information representation. This drive is leading to creation of new and exciting interdisciplinary fields that investigate convergence of software science and intelligence science, as well as computational sciences and their applications. This survey article discusses the new paradigm of the algorithmic models of intelligence, based on the adaptive hierarchical model of computation, and presents the algorithms and applications utilizing this paradigm in data-intensive, collaborative environment. Examples from the various areas include references to adaptive paradigm in biometric technologies, evolutionary computing, swarm intelligence, robotics, networks, e-learning, knowledge representation and information system design. Special topics related to adaptive models design and geometric computing are also included in the survey.

Adaptive Computation Paradigm in Knowledge Representation

2012 ◽  
pp. 142-156
Author(s):  
Marina L. Gavrilova
Keyword(s):  
Knowledge Representation ◽  
Software Systems ◽  
New Paradigm ◽  
Information System Design ◽  
Adaptive Computation ◽  
Data Intensive ◽  
Collaborative Environment ◽  
Adaptive Models ◽  
E Learning ◽  
Computational Sciences

The constant demand for complex applications, the ever increasing complexity and size of software systems, and the inherently complicated nature of the information drive the needs for developing radically new approaches for information representation. This drive is leading to creation of new and exciting interdisciplinary fields that investigate convergence of software science and intelligence science, as well as computational sciences and their applications. This survey article discusses the new paradigm of the algorithmic models of intelligence, based on the adaptive hierarchical model of computation, and presents the algorithms and applications utilizing this paradigm in data-intensive, collaborative environment. Examples from the various areas include references to adaptive paradigm in biometric technologies, evolutionary computing, swarm intelligence, robotics, networks, e-learning, knowledge representation and information system design. Special topics related to adaptive models design and geometric computing are also included in the survey.

Adaptive Computation Paradigm in Knowledge Representation

2009 ◽  
pp. 3258-3271
Author(s):  
Marina L. Gavrilova
Keyword(s):  
Knowledge Representation ◽  
Software Systems ◽  
New Paradigm ◽  
Information System Design ◽  
Adaptive Computation ◽  
Data Intensive ◽  
Collaborative Environment ◽  
Adaptive Models ◽  
E Learning ◽  
Computational Sciences

The constant demand for complex applications, the ever increasing complexity and size of software systems, and the inherently complicated nature of the information drive the needs for developing radically new approaches for information representation. This drive is leading to creation of new and exciting interdisciplinary fields that investigate convergence of software science and intelligence science, as well as computational sciences and their applications. This survey article discusses the new paradigm of the algorithmic models of intelligence, based on the adaptive hierarchical model of computation, and presents the algorithms and applications utilizing this paradigm in data-intensive, collaborative environment. Examples from the various areas include references to adaptive paradigm in biometric technologies, evolutionary computing, swarm intelligence, robotics, networks, e-learning, knowledge representation and information system design. Special topics related to adaptive models design and geometric computing are also included in the survey.

scholarly journals SBVR to OWL 2 Mappings: An Automatable and Structural-Rooted Approach

2014 ◽  
Vol 17 (3) ◽  
Author(s):  
Emiliano Reynares ◽  
María Laura Caliusco ◽  
Maria Rosa Galli
Keyword(s):  
Information System ◽  
Development Process ◽  
Software Systems ◽  
Software Development Process ◽  
Business Rules ◽  
Information System Design ◽  
Business People ◽  
Case Validation ◽  
Domain Information

The wide applicability of mapping business rules expressions to ontology statements have been recently recognized. Some of the most important applications are: (1) using of on- tology reasoners to prove the consistency of business domain information, (2) generation of an ontology intended to be used in the analysis stage of a software development process, and (3) the possibility of encapsulate the declarative specification of business knowledge into information software systems by means of an implemented ontology. The Semantics of Business Vocabulary and Business Rules (SBVR) supports that approach by provid- ing business people with a linguistic way to semantically describe business concepts and specify business rules in an independent way of any information system design. Although previous work have presented some proposals, an exhaustive and automatable approach for them is still lacking. This work presents a broad and detailed set of transformations that allows the automatable generation of an ontology implemented in OWL 2 from the SBVR specifications of a business domain. Such transformations are rooted on the struc- tural specification of both standards and are depicted through a case study. A real case validation example was performed, approaching the feasibility of the mappings by the quality assessment of the developed ontology.

scholarly journals Teaching and Learning in Higher Education: E-Learning as a Tool

2019 ◽  
Vol 9 (1) ◽  
pp. 458-463 ◽  
Keyword(s):  
Higher Education ◽  
Teaching And Learning ◽  
The Internet ◽  
Full Time ◽  
Online Classes ◽  
New Paradigm ◽  
Education Students ◽  
Communication Tools ◽  
Modern Education ◽  
E Learning

Recently, the market of E-Learning is soaring and is known as a new paradigm in modern education. E-Learning acts as a medium, consisting of several types of computers and electronic media that are communication tools as well as the Internet, which provides training and informative access on certain subjects. By using E-Learning students can attend online classes anywhere, regardless of time and place. Generally, E-Learning is more geared towards self-training and is ideal for individuals who work full-time but desire to further their studies. Thus, this study has been developed and integrated with factors leading towards the effectiveness of E-Learning as a tool in Teaching and Learning (T&L) approach. A quantitative approach was applied by using a self-administered distribution of questionnaire targeted at higher education students. Therefore, the outcomes of this research will help to provide insightful information to the current education system in Malaysia, particularly in crafting strategies to enhance the learning education for the country in general.

Information System Prosumption Development and Application in e-Learning

2012 ◽  
pp. 408-431
Author(s):  
Malgorzata Pankowska
Keyword(s):  
Information System ◽  
System Development ◽  
End Users ◽  
Service Development ◽  
Information System Design ◽  
Architecture Model ◽  
The Third ◽  
New Information ◽  
E Learning ◽  
Is Development

In order to reduce risks and increase the speed of new information technology (IT) product or service development as well as to satisfy customers’ demand, end users’ involvement has become one of the most important issues. The chapter aims at the presentation of the user role in information system development and the activities of prosumers in e-learning. The first part of the chapter covers literature review referring to studies on end users’ involvement in the information system (IS) development process. In the second part of the chapter the opportunities of prosumption development on the Internet are discussed. Particularly, the author focuses on e-learning purposes development and IT-supported communication among e-learners. The third part of the chapter covers a proposal of the architecture model as well as a discussion on methods of information system design for the prosumption development.

Optimization Scenarios for Open Source Software Used in E-Learning Activities

2018 ◽  
pp. 102-123
Author(s):  
Utku Köse
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Learning Experience ◽  
Learning Activities ◽  
Machine Learning Techniques ◽  
Software Systems ◽  
Source Codes ◽  
E Learning ◽  
Additional Costs ◽  
Teaching Learning

Using open software in e-learning application is one of the most popular ways of improving effectiveness of e-learning-based processes without thinking about additional costs and even focusing on modifying the software according to needs. Because of that, it is important to have an idea about what is needed while using an e-learning-oriented open software system and how to deal with its source codes. At this point, it is a good option to add some additional features and functions to make the open source software more intelligent and practical to make both teaching-learning experiences during e-learning processes. In this context, the objective of this chapter is to discuss some possible applications of artificial intelligence to include optimization processes within open source software systems used in e-learning activities. In detail, the chapter focuses more on using swarm intelligence and machine learning techniques for this aim and expresses some theoretical views for improving the effectiveness of such software for a better e-learning experience.

An Ontology-Driven System for E-Learning and Knowledge Management

2010 ◽  
pp. 302-324 ◽  
Author(s):  
Gilbert Paquette
Keyword(s):  
Knowledge Management ◽  
Research Network ◽  
Software Systems ◽  
Operation System ◽  
Ontological Engineering ◽  
Modeling Tool ◽  
Graphic Model ◽  
Driven System ◽  
E Learning ◽  
Run Time

Between 2003 and 2008, within the LORNET research network (www.lornet.org), our team has been designing and developing TELOS, an innovative operation system for eLearning and knowledge management environments that is driven by a technical ontology. After presenting the underlying principles of this system, we will develop a graphic model of the resulting ontology that captures the conceptual architecture of the system. Next, we will present the main aggregation modeling tool and the way it is related to the TELOS Ontology. Finally, we will illustrate how the ontology is used to drive the system at run-time. The conclusion will discuss the contri- bution of this research to the field of ontological engineering of software systems.

eResearch

2018 ◽  
Vol 14 (4) ◽  
pp. 44-63
Author(s):  
Jan C. Thiele
Keyword(s):  
Lessons Learned ◽  
Software Systems ◽  
Functional Requirements ◽  
Joint Research ◽  
Management Tools ◽  
Web Based ◽  
Data Intensive ◽  
Digital Service ◽  
Joint Research Project ◽  
Scientific Framework

Joint research projects in ecology typically aim to integrate scientific knowledge from various disciplines. This raises the request for collaboration technologies. As ecological research is data-intensive, it requires the management and exchange of large datasets, often with spatial reference. The demand for collaboration, data, and information management tools in science is addressed by the creation of digital service infrastructures, so-called eResearch Infrastructures, which are collections of typically web-based software systems. Here, an example eResearch infrastructure implemented for a joint research project is presented. It is described by the user stories, the derived functional requirements, and their implementation in software systems. This infrastructure followed an open-source paradigm with only two exceptions. Based on the lessons learned, recommendations for the future development of eResearch infrastructures and their embedment in an organizational, project, and scientific framework are derived.

PERSONALISASI MATEMATIS DALAM E-LEARNING MELALUI LEARNING MANAGEMENT SYSTEM

2020 ◽  
Vol 12 (34) ◽  
Author(s):  
Euis Setiawati
Keyword(s):  
Management System ◽  
Learning Management System ◽  
Rapid Development ◽  
Mathematics Learning ◽  
Descriptive Analysis ◽  
Scientific Paper ◽  
Learning Objects ◽  
New Paradigm ◽  
E Learning ◽  
Learning Management

The rapid development of science and technology has not fully brought a new paradigm in learning mathematics, seen by a large number of internet users only limited to the use of social media in every circle. The purpose of writing this scientific paper is to describe elearning as a way of learning built by the Learning Management System (LMS), and how this system can play a role in personalizing mathematical concepts. The research method used is descriptive analysis by collecting data, compiling or classifying, analyzing, and interpreting several types of software commonly used in e-learning. The results of the analysis show that mathematical personalization can occur by utilizing the features contained in the topics of LMS and is very useful for building learning objects that are suitable to overcome various didactic obstacles in mathematics learning, encourage more semiotic coordination in presentations, and avoid bad classroom practices during mathematics learning. Personalization through LMS can also produce different didactic abilities by considering the profiles of students.  Keywords: personalization, mathematics, e-learning, learning management system.

scholarly journals A network as a source of knowledge for the education of an architect

2019 ◽  
Vol 64 ◽  
pp. 02011
Author(s):  
Melis Baloglu Asut ◽  
Yüksel Demir
Keyword(s):  
Knowledge Map ◽  
New Paradigm ◽  
Data Types ◽  
Learning Space ◽  
Model Based ◽  
Big Picture ◽  
E Learning ◽  
Learning Platforms ◽  
Education Model ◽  
Khan Academy

In a learning space, whether it is surrounded by digital tools or not, the way a tutor represents the information is usually in a linear fashion. However, e-learning platforms have already started to support the learner and a new paradigm for learning. In light of these thoughts and concerns, this paper is focused on the education of an architect and examines potential e-learning platforms including BlackBoard, Facebook in the case of an architectural course, EdX, and Khan Academy Knowledge Map based on the types of visual narrative, the aim of the platform, the information visualization quality, and data types. As an output, this study creates a comparative visualization to see and discuss the potentials of the tools for the education of an architect. After the analysis of e-learning platforms, this study concludes that (1) an education model based on a network can help architects to see the big picture, however it also causes data reduction and loss, (2) an education model based on a network allows architects to create their own learning paths and share it with their colleagues, (3) an education model based on a network may be a sustainable platform for architects from different experience levels and enhance the communication between them to support the youngers’ education, 4) an education model based on network decentralizes the process of learning and enriches it through the interaction between other learners, concepts, thoughts, and objects, (5) an education model based on network bridges the gap between what one already knows and what one needs to know to understand the whole picture, (6) an education model based on network gives the opportunity to compare previous years’ feedbacks, concepts, and thought in one medium.

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