Semantic Linking and Personalization in Context (2009)
The World Wide Web (WWW) is intended for humans to create and share documents. However, it does not support machine-processable data and automated processing. The Semantic Web is an extension to the...
Sah, Melike, Hall, Wendy, De Roure, David
Imagine a Web browser that can understand the context of a Web page and recommends related semantic hyperlinks in any Web domain. In addition, imagine this browser also understands your browsing...
Designing a Personalized Semantic Web Browser (2008)
Sah, Melike, Hall, Wendy, De Roure, David C
Web browsing is a complex activity and in general, users are not guided during browsing. Our hypothesis is that by using Semantic Web technologies and personalization methods, browsing can be...
Designing a Personalized Semantic Web Browser (2008)
Sah, Melike, Hall, Wendy, De Roure, David C
Web browsing is a complex activity and in general, users are not guided during browsing. Our hypothesis is that by using Semantic Web technologies and personalization methods, browsing can be...
Sah, Melike, Hall, Wendy, De Roure, David C
Web browsing is a complex activity and in general, users are not guided during browsing. The aim of this research is to support the browsing of users using semantic and adaptive hyperlinks using...
Sah, Melike, Hall, Wendy, De Roure, David C
Web browsing is a complex activity and in general, users are not guided during browsing. The aim of this research is to support the browsing of users using semantic and adaptive hyperlinks using...
Building and Managing Personalized Semantic Portals (2007)
This paper presents a semantic portal, SEMPort, which provides better user support with personalized views, semantic navigation, ontology-based search and three different kinds of semantic...
Building and Managing Personalized Semantic Portals (2007)
This paper presents a semantic portal, SEMPort, which provides better user support with personalized views, semantic navigation, ontology-based search and three different kinds of semantic...
Building and Managing Personalized Semantic Portals (2007)
This paper presents a semantic portal, SEMPort, which provides better user support with personalized views, semantic navigation, ontology-based search and three different kinds of semantic...
SEMPort – A Personalized Semantic Portal (2007)
Sah, Melike, Hall, Wendy, Gibbins, Nicholas M, De Roure, David C
This paper presents an ontology-based semantic portal, SEMPort, which aims to support both content providers and the users of the portal during providing information, browsing and searching. The...
SEMPort – A Personalized Semantic Portal (2007)
Sah, Melike, Hall, Wendy, Gibbins, Nicholas M, De Roure, David C
This paper presents an ontology-based semantic portal, SEMPort, which aims to support both content providers and the users of the portal during providing information, browsing and searching. The...
Forecasting Enrollment Model Based on First-Order Fuzzy Time Series (2005)
Sah, Melike, Konstantin Y., Degtiarev
This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time series can be also applied...
Forecasting Enrollment Model Based on First-Order Fuzzy Time Series (2005)
Sah, Melike, Konstantin Y., Degtiarev
This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time series can be also applied...
A New Trend Heuristic Time-Variant Fuzzy Time Series Method for Forecasting Enrollments (2005)
Sah, Melike, Degtiarev, Konstantin Y.
In this paper, we have proposed a new modified forecasting method based on time-variant fuzzy time series. It uses trend heuristics in addition to high-order fuzzy logical relations and enhances the...
A New Trend Heuristic Time-Variant Fuzzy Time Series Method for Forecasting Enrollments (2005)
Sah, Melike, Degtiarev, Konstantin Y.
In this paper, we have proposed a new modified forecasting method based on time-variant fuzzy time series. It uses trend heuristics in addition to high-order fuzzy logical relations and enhances the...