Context Aware Information Retrieval using Role Ontology and Query Schemas

2006 ◽  
Author(s):  
Humaira Liaqaut ◽  
Nadeem Iftikhar ◽  
Muhammad Abdul Qadir
Keyword(s):  
Information Retrieval ◽  
Context Aware

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

2010 ◽  
pp. 1549-1560
Author(s):  
Lu Yan
Keyword(s):  
Information Retrieval ◽  
Information Exchange ◽  
Exchange Process ◽  
Information Access ◽  
Mobile Service ◽  
Context Aware ◽  
Service Oriented Architectures ◽  
Information Retrieval Systems ◽  
To Come ◽  
Process Context

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.

An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems

2009 ◽  
Vol 1 (4) ◽  
pp. 69-90 ◽  
Author(s):  
Adam Grzywaczewski ◽  
Rahat Iqbal ◽  
Anne James ◽  
John Halloran
Keyword(s):  
Information Retrieval ◽  
User Study ◽  
User Interaction ◽  
Context Aware ◽  
Interaction Patterns ◽  
Frequent User ◽  
User Interactions ◽  
Information Retrieval Systems ◽  
Finite Set ◽  
Domain Expertise

Users interact with the Internet in dynamic environments that require the IR system to be context aware. Modern IR systems take advantage of user location, browsing history or previous interaction patterns, but a significant number of contextual factors that impact the user information retrieval process are not yet available. Parameters like the emotional state of the user and user domain expertise affect the user experience significantly but are not understood by IR systems. This article presents results of a user study that simplifies the way context in IR and its role in the systems’ efficiency is perceived. The study supports the hypothesis that the number of user interaction contexts and the problems that a particular user is trying to solve is related to lifestyle. Therefore, the IR system’s perception of the interaction context can be reduced to a finite set of frequent user interactions.

POVOO

2011 ◽  
pp. 349-363
Author(s):  
Eva Gahleitner ◽  
Wolfram Wöß
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Business Processes ◽  
Knowledge Bases ◽  
Context Aware ◽  
Specialized Knowledge ◽  
Current Process ◽  
Actual Working ◽  
Static Information ◽  
Working Situation

Ontologies still lack in including and considering the dynamic aspects of business processes. Therefore, existing ontology-based information systems provide only static information which does not suit the actual working context of a user. In this project we extend information retrieval techniques with ontologies through a process oriented view on ontologies (POVOO). The purpose is to satisfy a user with information that depends on the current process the user is working on. Due to a context aware approach, it is possible to adapt the information to the user’s current working situation dynamically. We introduce a methodology for generating views on ontologies and we illustrate how an application can use them to query highly specialized knowledge bases.

Sign in / Sign up

Export Citation Format

Share Document