Web Semantics for Personalized Information Retrieval

2017 ◽  
pp. 166-186 ◽  
Author(s):  
Aarti Singh ◽  
Anu Sharma
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Web Search ◽  
Information Overload ◽  
Software Agents ◽  
Web Personalization ◽  
Comprehensive Review ◽  
Web Technologies ◽  
Intelligent Interface

This chapter explores the synergy between Semantic Web (SW) technologies and Web Personalization (WP) for demonstrating an intelligent interface for Personalized Information Retrieval (PIR) on web. Benefits of adding semantics to WP through ontologies and Software Agents (SA) has already been realized. These approaches are expected to prove useful in handling the information overload problem encountered in web search. A brief introduction to PIR process is given, followed by description of SW, ontologies and SA. A comprehensive review of existing web technologies for PIR has been presented. Although, a huge contribution by various researchers has been seen and analyzed but still there exist some gap areas where the benefits of these technologies are still to be realized in future personalized web search.

Web Semantics for Personalized Information Retrieval

2018 ◽  
pp. 795-810
Author(s):  
Aarti Singh ◽  
Anu Sharma
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Web Search ◽  
Information Overload ◽  
Software Agents ◽  
Web Personalization ◽  
Comprehensive Review ◽  
Web Technologies ◽  
Intelligent Interface

This chapter explores the synergy between Semantic Web (SW) technologies and Web Personalization (WP) for demonstrating an intelligent interface for Personalized Information Retrieval (PIR) on web. Benefits of adding semantics to WP through ontologies and Software Agents (SA) has already been realized. These approaches are expected to prove useful in handling the information overload problem encountered in web search. A brief introduction to PIR process is given, followed by description of SW, ontologies and SA. A comprehensive review of existing web technologies for PIR has been presented. Although, a huge contribution by various researchers has been seen and analyzed but still there exist some gap areas where the benefits of these technologies are still to be realized in future personalized web search.

Semantics and Agents Oriented Web Personalization

2016 ◽  
pp. 1018-1032
Author(s):  
Aarti Singh ◽  
Anu Sharma ◽  
Nilanjan Dey
Keyword(s):  
Semantic Web ◽  
Intelligent Agents ◽  
Web Mining ◽  
Information Overload ◽  
Software Agents ◽  
User Profile ◽  
Content Management ◽  
Multi Agent Systems ◽  
Web Personalization ◽  
Intelligent Software Agents

Advent of technologies like semantic web, multi-agent systems, web mining has changed the internet as knowledge provider. Web personalization offers a solution to the information overload problem in current web by providing users a personalized experience, considering their interest, behavior, context and emotions. Semantic web technology is based on use of software agents, ontologies and reasoning to add meaning to web information. An important technology for achieving personalization is the use of independent intelligent software agents. This work reviews, web personalization in the light of semantic web and software agent technology. A comparative study of recent works in the domain of web personalization has been carried out for this purpose. This review highlights ample scope for application of intelligent agents in the web personalization domain for solving many existing issues like personalized content management, user profile learning, modeling and adaptive interactions with users.

Semantics and Agents Oriented Web Personalization

2015 ◽  
Vol 6 (2) ◽  
pp. 35-49 ◽  
Author(s):  
Aarti Singh ◽  
Anu Sharma ◽  
Nilanjan Dey
Keyword(s):  
Semantic Web ◽  
Intelligent Agents ◽  
Web Mining ◽  
Information Overload ◽  
Software Agents ◽  
User Profile ◽  
Content Management ◽  
Multi Agent Systems ◽  
Web Personalization ◽  
Intelligent Software

Advent of technologies like semantic web, multi-agent systems, web mining has changed the internet as knowledge provider. Web personalization offers a solution to the information overload problem in current web by providing users a personalized experience, considering their interest, behavior, context and emotions. Semantic web technology is based on use of software agents, ontologies and reasoning to add meaning to web information. An important technology for achieving personalization is the use of independent intelligent software agents. This work reviews, web personalization in the light of semantic web and software agent technology. A comparative study of recent works in the domain of web personalization has been carried out for this purpose. This review highlights ample scope for application of intelligent agents in the web personalization domain for solving many existing issues like personalized content management, user profile learning, modeling and adaptive interactions with users.

Intelligent Semantics Approaches for Adaptive Web

2018 ◽  
pp. 201-220
Author(s):  
Anu Sharma ◽  
Aarti Singh
Keyword(s):  
Semantic Web ◽  
Intelligent Agents ◽  
Software Agents ◽  
User Profile ◽  
Content Management ◽  
Web Personalization ◽  
New Era ◽  
Work Done ◽  
The Web

Intelligent semantic approaches (i.e., semantic web and software agents) are very useful technologies for adding meaning to the web. Adaptive web is a new era of web targeting to provide customized and personalized view of contents and services to its users. Integration of these two technologies can further add to reasoning and intelligence in recommendation process. This chapter explores the existing work done in the area of applying intelligent approaches to web personalization and highlighting ample scope for application of intelligent agents in this domain for solving many existing issues like personalized content management, user profile learning, modelling, and adaptive interactions with users.

Semantic / Fuzzy Information Retrieval System

2017 ◽  
Vol 12 (1) ◽  
pp. 37-56
Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri
Keyword(s):  
Fuzzy Logic ◽  
Information Retrieval ◽  
Semantic Web ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Retrieval Process ◽  
Fuzzy Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Fuzzy Information Retrieval

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

Utilizing Semantic Web and Software Agents in a Travel Support System

2009 ◽  
pp. 2466-2494 ◽  
Author(s):  
Maria Ganzha ◽  
Maciej Gawinecki ◽  
Marcin Paprzucki ◽  
Rafal Gasiorowski ◽  
Szymon Pisarek ◽  
...  
Keyword(s):  
Semantic Web ◽  
Support System ◽  
Software Agents ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Agent Based ◽  
Web Technologies ◽  
The Road ◽  
On The Road

The use of Semantic Web technologies in e-business is hampered by the lack of large, publiclyavailable sources of semantically-demarcated data. In this chapter, we present a number of intermediate steps on the road toward the Semantic Web. Specifically, we discuss how Semantic Web technologies can be adapted as the centerpiece of an agent-based travel support system. First, we present a complete description of the system under development. Second, we introduce ontologies developed for, and utilized in, our system. Finally, we discuss and illustrate through examples how ontologically demarcated data collected in our system is personalized for individual users. In particular, we show how the proposed ontologies can be used to create, manage, and deploy functional user profiles.

Utilizing Semantic Web and Software Agents in a Travel Support System

2007 ◽  
pp. 325-359 ◽  
Author(s):  
Maria Ganzha ◽  
Maciej Gawinecki ◽  
Marcin Paprzycki ◽  
Rafal Gasiorowski ◽  
Szymon Pisarek ◽  
...  
Keyword(s):  
Semantic Web ◽  
Support System ◽  
Software Agents ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Agent Based ◽  
Web Technologies ◽  
The Road ◽  
On The Road

The use of Semantic Web technologies in e-business is hampered by the lack of large, publicly-available sources of semantically-demarcated data. In this chapter, we present a number of intermediate steps on the road toward the Semantic Web. Specifically, we discuss how Semantic Web technologies can be adapted as the centerpiece of an agent-based travel support system. First, we present a complete description of the system under development. Second, we introduce ontologies developed for, and utilized in, our system. Finally, we discuss and illustrate through examples how ontologically demarcated data collected in our system is personalized for individual users. In particular, we show how the proposed ontologies can be used to create, manage, and deploy functional user profiles.

Semantic/Fuzzy Information Retrieval System

2018 ◽  
pp. 1030-1050
Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri
Keyword(s):  
Fuzzy Logic ◽  
Information Retrieval ◽  
Semantic Web ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Retrieval Process ◽  
Fuzzy Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Fuzzy Information Retrieval

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

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