Filters








35,606 Hits in 5.9 sec

Development of an E-Learning System Incorporating Semantic Web

Khurram Naim Shamsi, Zafar Iqbal Khan
2012 International Journal of Research in Computer Science  
The proposed system is mainly based on ontology-based descriptions of content, context and structure of the learning materials.  ...  In this paper, we present the Semantic Web-Based model for our e-learning system taking into account the learning environment at Saudi Arabian universities.  ...  In the subsequent section, we introduce the framework of our Semantic Web-based e-learning system. We continue with a description of an ontology based approach for eLearning.  ... 
doi:10.7815/ijorcs.25.2012.042 fatcat:g53ddxty6zd2fpjpx3sj7ypf3u

Assistance in Building Student Models Using Knowledge Representation and Machine Learning [chapter]

Sébastien Lallé, Vanda Luengo, Nathalie Guin
2013 Lecture Notes in Computer Science  
The method is based on knowledge representation and a semi-automatic machine learning algorithm. We tested the method in two domains, surgery and reading English.  ...  Our method is based on a semi-automatic machine-learning algorithm, driven by an ontology. Results showed accuracies over the majority class in two domains, surgery and reading.  ...  Secondly the goal of machine learning is to instantiate a generic diagnostic technique to a given domain using students' traces. The result is an instantiated or learned diagnostic technique.  ... 
doi:10.1007/978-3-642-39112-5_105 fatcat:2h3in5sosnhsrbo5kyszrccmg4

The study of models of intelligent interfaces

Angel R. Puerta
1993 Proceedings of the 1st international conference on Intelligent user interfaces - IUI '93  
L-CID is a model of an intelligent interface that establishes the knowledge requirements for, determines the functionality of, and creates a definition for an intelligent interface.  ...  In addition to modeling knowledge-based user interaction, L-CID allows two important functions commonly overlooked in models of intelligent interfaces: (1) selfadaptation, and (2) user-interface management  ...  I am also grateful to Lyn Dupré for her editing of a previous version of this paper  ... 
doi:10.1145/169891.169905 dblp:conf/iui/Puerta93 fatcat:ffcgjd34b5edhabpywspnvw2pu

Matters of Neural Network Repository Designing for Analyzing and Predicting of Spatial Processes

Stanislav A. Yamashkin, Anatoliy A. Yamashkin, Ekaterina O. Yamashkina, Anastasiya A. Kamaeva
2021 International Journal of Advanced Computer Science and Applications  
An ontological model of a deep neural network repository for spatial data analysis is decomposed into the domain of deep machine learning models, problems being solved and data.  ...  The issues of architecture development and software implementation of a repository of deep neural network models for spatial data analysis are considered, based on a new ontological model, which makes  ...  for visualizing deep machine learning models in the form of graph-schemes within the framework of adaptive web interfaces. 8) Development of an application programming interface based on the architectural  ... 
doi:10.14569/ijacsa.2021.0120503 fatcat:jyvlustezvcdphgfyb4f3xgeji

Intelligent machine for ontological representation of massive pedagogical knowledge based on neural networks

Abdelladim Hadioui, Yassine Benjelloun Touimi, Nour-eddine El Faddouli, Samir Bennani
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
In order to achieve such an objective, ontological approaches are taken, namely: mapping, learning and enrichment, in addition to artificial intelligence-based approaches which are relevant in our research  ...  For verifying the validity of our contribution, we will implement an experiment about knowledge sources example.  ...  Based on the massive data produced via interactions, we proposed, as a first step, a machine learning system, Ontological engineering Knowledge mapping represents an important stage in actors' knowledge  ... 
doi:10.11591/ijece.v11i2.pp1675-1688 fatcat:hln7qev6bbde3eaeotdkhkkwh4

A Web-Based E-Learning System Using Semantic Web Framework

Fayed F. M. Ghaleb, Sameh S. Daoud, Ahmad M. Hasna, Jihad M. Jaam, Hosam F. El-Sofany
2006 Journal of Computer Science  
In addition we present an approach for implementing a Semantic Web-based elearning system, which focus on the RDF data model, OWL ontology language and RAP for parsing RDF documents.  ...  In this study, based on our previous work, we present a framework for our web-based e-learning system using the Semantic Web technology.  ...  Ontology-centric programming interface: The ontology-centric API is an extension of the resourcecentric interface.  ... 
doi:10.3844/jcssp.2006.619.626 fatcat:276ypbufkfeolhastn2liou4ty

Semantic Web Application in Learning Resource Ontology Repository

Lasmedi Afuan, Azhari S.N.
2016 International Journal of Computer Applications  
The results of this research is a semantic web that helps in the search for learning resource.  ...  This research aims to implement the semantic web learning resource domain.  ...  Design of Ontology, at this stage of the design ontology based on the results of data collection has been done. 5. System Design, at this stage of the system interface design. 6.  ... 
doi:10.5120/ijca2016909349 fatcat:kw5tmcv3krhzza7ndkevucugga

Machine Learning for Emergent Middleware [chapter]

Amel Bennaceur, Valérie Issarny, Daniel Sykes, Falk Howar, Malte Isberner, Bernhard Steffen, Richard Johansson, Alessandro Moschitti
2013 Communications in Computer and Information Science  
among heterogeneous networked systems that interact in an ad hoc way.  ...  The paper outlines the overall architecture of Enablers underlying Emergent Middleware, and in particular focuses on the key role of learning in supporting such a process, spanning statistical learning  ...  The main tool for implementing modern systems for automatic document classification is machine learning based on vector space document representations.  ... 
doi:10.1007/978-3-642-45260-4_2 fatcat:ubxiq5oibbhmtp3bb7yclhr5ba

Inferring Affordances Using Learning Techniques [chapter]

Amel Bennaceur, Richard Johansson, Alessandro Moschitti, Romina Spalazzese, Daniel Sykes, Rachid Saadi, Valérie Issarny
2012 Communications in Computer and Information Science  
To overcome this, we propose to use machine learning to extract the high-level functionality of a system and thus restrict the scope of detailed analysis to systems likely to be able to interoperate.  ...  The main tool for implementing modern systems for automatic document classification systems is machine learning based on vector space document representations.  ...  In this paper we focus on using machine learning to extract affordances from interface descriptions.  ... 
doi:10.1007/978-3-642-28033-7_7 fatcat:ane57rdbz5b2hhr7x5tacklsgu

Towards an Ontology of Cognitive Assistants

Torsten Maier, Jessica Menold, Christopher McComb
2019 Proceedings of the International Conference on Engineering Design  
This paper discusses the development of an ontology, its classes, and subclasses that may serve as a foundation for defining and differentiating CAs.  ...  Our novel ontological framework is the first step towards a classification system for this burgeoning field.  ...  CAs using machine learning fall within the discrimination and concept learning levels. Table 2 defines the learning levels and provides an example of how it might apply to a CA.  ... 
doi:10.1017/dsi.2019.270 fatcat:q6ihg7hxmzazdixtjmipktx6se

Design of Generalized Search Interfaces for Health Informatics

Jonathan Demelo, Kamran Sedig
2021 Information  
In this paper, we investigate ontology-supported interfaces for health informatics search tasks involving large document sets.  ...  We begin by providing background on health informatics, machine learning, and ontologies. We review leading research on health informatics search tasks to help formulate high-level design criteria.  ...  Machine Learning Machine learning techniques are increasingly being utilized to tackle analytic problems once considered too complex to solve in an effective and timely manner [16] .  ... 
doi:10.3390/info12080317 fatcat:ezzpq53shjgwrkbsm26mc4gzt4

Authoring Constraint-Based Tutors in ASPIRE [chapter]

Antonija Mitrovic, Pramuditha Suraweera, Brent Martin, Konstantin Zakharov, Nancy Milik, Jay Holland
2006 Lecture Notes in Computer Science  
ASPIRE is based on our previous work on constraint-based tutors and WETAS, the tutoring shell.  ...  This paper presents a project the goal of which is to develop ASPIRE, a complete authoring and deployment environment for constraintbased intelligent tutoring systems (ITSs).  ...  We thank all members of ICTG for their support.  ... 
doi:10.1007/11774303_5 fatcat:xc2szn2gdve3xjjqn4g4xi4ewu

Generating Grammars from lemon lexica for Questions Answering over Linked Data: a Preliminary Analysis

Viktoria Benz, Mohammad Fazleh Elahi, Basil Ell, Philipp Cimiano
2020 Zenodo  
This model-based approach comes with a number of advantages compared to a machine learning approach.  ...  In this preliminary work we present an alternative approach to developing a QA system using machine learning that relies on the automatic generation of a QA grammar from a lemon lexicon.  ...  of deep learning methods applied to QALD and [1] for an overview of recent work on natural language interfaces to databases).  ... 
doi:10.5281/zenodo.6641630 fatcat:27n5ieql5zfndciv44wzyepzgq

Automatic Service Categorisation through Machine Learning in Emergent Middleware [chapter]

Amel Bennaceur, Valérie Issarny, Richard Johansson, Alessandro Moschitti, Romina Spalazzese, Daniel Sykes
2013 Lecture Notes in Computer Science  
To overcome this, we apply machine learning to extract high-level functionality information through text categorisation of a system's interface description.  ...  This categorisation allows us to restrict the scope of compatibility checks, giving an overall performance gain when conducting matchmaking between systems.  ...  Acknowledgements This research has been supported by the EU FP7 projects: Connect -Emergent Connectors for Eternal Software Intensive Networking Systems (project number FP7 231167), EternalS -"Trustworthy  ... 
doi:10.1007/978-3-642-35887-6_7 fatcat:jfncs7nomjbnbp4nykzenn6n7q

Ontology learning for the Semantic Web

A. Maedche, S. Staab
2001 IEEE Intelligent Systems  
T he Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding.  ...  The authors present an ontology-learning framework that extends typical ontology engineering environments by using semiautomatic ontology-construction tools.  ...  Acknowledgments We thank our students, Dirk Wenke, and Raphael Volz for work on OntoEdit and Text-To-Onto.  ... 
doi:10.1109/5254.920602 fatcat:iwtrhonygfeobb3kwkh5n4guwi
« Previous Showing results 1 — 15 out of 35,606 results