A vector space model for automatic indexing
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Mining key information of web pages: A method and its application
Expert Systems with Applications: An International Journal
Ontology-supported FAQ processing and ranking techniques
Journal of Intelligent Information Systems
A question/answer typology with surface text patterns
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Ontology-based user modeling for knowledge management systems
UM'03 Proceedings of the 9th international conference on User modeling
Learning profiles based on hierarchical hidden markov model
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Enhancing web search result lists using interaction histories
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
An ontological Proxy Agent with prediction, CBR, and RBR techniques for fast query processing
Expert Systems with Applications: An International Journal
An ontology approach to support FMEA studies
Expert Systems with Applications: An International Journal
OntoCrawler: A focused crawler with ontology-supported website models for information agents
Expert Systems with Applications: An International Journal
OntoIAS: An ontology-supported information agent shell for ubiquitous services
Expert Systems with Applications: An International Journal
An ontology-supported ubiquitous interface agent for cloud computing: example on Zigbee technique
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
International Journal of Intelligent Engineering Informatics
A focused crawler with ontology-supported website models for information agents
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Agent and multi-agent applications to support distributed communities of practice: a short review
Autonomous Agents and Multi-Agent Systems
FAQtory: A framework to provide high-quality FAQ retrieval systems
Expert Systems with Applications: An International Journal
A high-performance FAQ retrieval method using minimal differentiator expressions
Knowledge-Based Systems
Using ontology and RFID to develop a new Chinese Braille learning platform for blind students
Expert Systems with Applications: An International Journal
A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0
Knowledge-Based Systems
Learning regular expressions to template-based FAQ retrieval systems
Knowledge-Based Systems
Designing an Anti-swindle Mahjong Leisure Prototype System using RFID and ontology theory
Journal of Network and Computer Applications
Hi-index | 12.06 |
This paper proposes an ontological Interface agent which works as an assistant between the users and FAQ systems. We integrated several interesting techniques including domain ontology, user modeling, and template-based linguistic processing to effectively tackle the problems associated with traditional FAQ retrieval systems. Specifically, we address the following issues. Firstly, how can an interface agent learn a user's specialty in order to build a proper user model for him/her? Secondly, how can domain ontology help in establishing user models, analyzing user query, and assisting and guiding interface usage? Finally, how can the intention and focus of a user be correctly extracted? Our work features an template-based linguistic processing technique for developing ontological interface agents; a nature language query mode, along with an improved keyword-based query mode; and an assistance and guidance for human-machine interaction. Our preliminary experimentation demonstrates that user intention and focus of up to eighty percent of the user queries can be correctly understood by the system, and accordingly provides the query solutions with higher user satisfaction.