Service-Oriented Architectures for Context-Aware Information Retrieval and Access

Service-Oriented Architectures for Context-Aware Information Retrieval and Access

Lu Yan (University College London, UK)
DOI: 10.4018/978-1-59904-510-8.ch010
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Abstract

Humans are quite successful at conveying ideas to each other and retrieving information from interactions appropriately. This is due to many factors: the richness of the language they share, the common understanding of how the world works, and an implicit understanding of everyday situations (Dey & Abowd, 1999). When humans talk with humans, they are able to use implicit situational information (i.e., context) to enhance the information exchange process. Context (Cool & Spink, 2002) plays a vital part in adaptive and personalized information retrieval and access. Unfortunately, computer communications lacks this ability to provide auxiliary context in addition to the substantial content of information. As computers are becoming more and more ubiquitous and mobile, there is a need and possibility to provide information “personalized, any time, and anywhere” (ITU, 2006). In these scenarios, large amounts of information circulate in order to create smart and proactive environments that will significantly enhance both the work and leisure experiences of people. Context-awareness plays an important role to enable personalized information retrieval and access according to the current situation with minimal human intervention. Although context-aware information retrieval systems have been researched for a decade (Korkea-aho, 2000), the rise of mobile and ubiquitous computing put new challenges to issue, and therefore we are motivated to come up with new solutions to achieve non-intrusive, personalized information access on the mobile service platforms and heterogeneous wireless environments.

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Table of Contents
Acknowledgment
Rafael Andrés González, Nong Chen, Ajantha Dahanayake
Chapter 1
Shan Chen, Mary-Anne Williams
Ontology learning has been identified as an inherently transdisciplinary area. Personalized ontology learning for Web personalization involves Web... Sample PDF
Learning Personalized Ontologies from Text: A Review on an Inherently Transdisciplinary Area
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Chapter 2
Nikos Manouselis, Constantina Costopoulou
The problem of collaborative filtering is to predict how well a user will like an item that he or she has not rated, given a set of historical... Sample PDF
Overview of Design Options for Neighborhood-Based Collaborative Filtering Systems
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Chapter 3
Rafael A. Gonzalez
In this chapter, information management problems and some of the computer-based solutions offered to deal with them are presented. The claim is that... Sample PDF
Exploring Information Management Problems in the Domain of Critical Incidents
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Chapter 4
Penelope Markellou, Maria Rigou, Spiros Sirmakessis
The Web has become a huge repository of information and keeps growing exponentially under no editorial control, while the human capability to find... Sample PDF
Mining for Web Personalization
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Chapter 5
Athena Vakali, Geroge Pallis, Lefteris Angelis
The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and... Sample PDF
Clustering Web Information Sources
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Chapter 6
Nong Chen, Ajantha Dahanayake
Personalized information seeking and retrieval is regarded as the solution to the problem of information overload in domains such as crisis response... Sample PDF
A Conceptual Structure for Designing Personalized Information Seeking and Retrieval Systems in Data-Intensive Domains
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Chapter 7
Amr Ali Eldin, Zoran Stojanovic
With the rapid developments of mobile telecommunications technology over the last two decades, a new computing paradigm known as ‘anywhere and... Sample PDF
Privacy Control Requirements for Context-Aware Mobile Services
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Chapter 8
Ricardo Barros, Geraldo Xexéo, Wallace A. Pinheiro, Jano de Souza
Due to the amount of information on the Web being so large and being of varying levels of quality, it is becoming increasingly difficult to find... Sample PDF
User and Context-Aware Quality Filters Based on Web Metadata Retrieval
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Chapter 9
Iker Gondra
In content-based image retrieval (CBIR), a set of low-level features are extracted from an image to represent its visual content. Retrieval is... Sample PDF
Personalized Content-Based Image Retrieval
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Chapter 10
Lu Yan
Humans are quite successful at conveying ideas to each other and retrieving information from interactions appropriately. This is due to many... Sample PDF
Service-Oriented Architectures for Context-Aware Information Retrieval and Access
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Chapter 11
Zakaria Maamar, Soraya Kouadri Mostéfaoui, Qusay H. Mahmoud
This chapter presents a context-based approach for Web services personalization so that user preferences are accommodated. Preferences are of... Sample PDF
On Personalizing Web Services Using Context
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Chapter 12
Haibin Zhu, MengChu Zhou
Agent system design is a complex task challenging designers to simulate intelligent collaborative behavior. Roles can reduce the complexity of agent... Sample PDF
Role-Based Multi-Agent Systems
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Chapter 13
Tarek Ben Mena, Narjès Bellamine-Ben Saoud, Mohamed Ben Ahmed, Bernard Pavard
This chapter aims to define context notion for multi-agent systems (MAS). Starting from the state of the art on context in different disciplines, we... Sample PDF
Towards a Context Definition for Multi-Agent Systems
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About the Contributors