A probabilistic model of information retrieval: development and comparative experiments Part 2
Information Processing and Management: an International Journal
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
Exploiting contextual change in context-aware retrieval
Proceedings of the 2002 ACM symposium on Applied computing
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Location Models from the Perspective of Context-Aware Applications and Mobile Ad Hoc Networks
Personal and Ubiquitous Computing
Understanding and Using Context
Personal and Ubiquitous Computing
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
Spatial Databases-Accomplishments and Research Needs
IEEE Transactions on Knowledge and Data Engineering
A Methodology to Retrieve Text Documents from Multiple Databases
IEEE Transactions on Knowledge and Data Engineering
The Philosophy of Information Retrieval Evaluation
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
Context Aware Retrieval in Web-Based Collaborations
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Just-in-time information retrieval agents
IBM Systems Journal
Semantic Space: An Infrastructure for Smart Spaces
IEEE Pervasive Computing
Toward an OSGi-Based Infrastructure for Context-Aware Applications
IEEE Pervasive Computing
ACAI: agent-based context-aware infrastructure for spontaneous applications
Journal of Network and Computer Applications
GAS ontology: an ontology for collaboration among ubiquitous computing devices
International Journal of Human-Computer Studies - Protégé: community is everything
Queue - Semi-structured Data
Terrier information retrieval platform
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Context modelling and management in ambient-aware pervasive environments
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Distributed Context Retrieval and Consistency Control in Pervasive Computing
Journal of Network and Systems Management
Proceedings of the 2009 international conference on Pervasive services
Optimising context data dissemination and storage in distributed pervasive computing systems
Pervasive and Mobile Computing
Federation and sharing in the context marketplace
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Context tags: exploiting user-given contextual cues for disambiguation
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
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Context-based applications are supposed to decrease human-machine interactions. To this end, they must interpret the meaning of context data. Ontologies are a commonly accepted approach of specifying data semantics and are thus considered a precondition for the implementation of context-based systems. Yet, experiences gained from the European project Daidalos evoke concerns that this approach has its flaws when the application domain can hardly be delimited. These concerns are raised by the human limitation in dealing with complex specifications. This paper proposes a relaxation of the situation: Humans strength is the understating of natural languages, computers, however, possess superior pattern matching power. Therefore, it is suggested to enrich or even replace semantic specifications of context data items by free-text descriptions. For instance, rather than using an Ontology specification to describe an Italian restaurant the restaurant can simply be described by its menu card. To facilitate this methodology, context documents are introduced and a novel information retrieval approach is elucidated, evaluated, and analysed with the help of Bose-Einstein statistics. It is demonstrated that the new approach clearly outperforms conventional information retrieval engines and is an excellent addition to context Ontologies.