Flexible queries over semistructured data
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
WWW '03 Proceedings of the 12th international conference on World Wide Web
On the Evaluation of Document Analysis Components by Recall, Precision, and Accuracy
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
An analysis of the AskMSR question-answering system
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Evaluation of service management algorithms in a distributed web search system
Computer Standards & Interfaces
Automated ontology construction for unstructured text documents
Data & Knowledge Engineering
Bringing chatbots into education: Towards natural language negotiation of open learner models
Knowledge-Based Systems
Data & Knowledge Engineering
Integration of association rules and ontologies for semantic query expansion
Data & Knowledge Engineering
Integration of association rules and ontologies for semantic query expansion
Data & Knowledge Engineering
Incorporating tutoring principles into interactive knowledge acquisition
International Journal of Human-Computer Studies
Tests and variables selection on regression analysis for massive datasets
Data & Knowledge Engineering
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04
Learning non-taxonomic relationships from web documents for domain ontology construction
Data & Knowledge Engineering
Clinical practice guidelines: A case study of combining OWL-S, OWL, and SWRL
Knowledge-Based Systems
A flexible framework to experiment with ontology learning techniques
Knowledge-Based Systems
Temporal queries and version management in XML-based document archives
Data & Knowledge Engineering
Ontology-based enterprise knowledge integration
Robotics and Computer-Integrated Manufacturing
Knowledge sharing in virtual enterprises via an ontology-based access control approach
Computers in Industry
Reasoning with inconsistent ontologies
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Reducing OWL entailment to description logic satisfiability
Web Semantics: Science, Services and Agents on the World Wide Web
An agent-oriented approach to resolve scheduling optimization in intelligent manufacturing
Robotics and Computer-Integrated Manufacturing
Short communication: A novel sentence similarity measure for semantic-based expert systems
Expert Systems with Applications: An International Journal
Ontology learning from biomedical natural language documents using UMLS
Expert Systems with Applications: An International Journal
Financial news semantic search engine
Expert Systems with Applications: An International Journal
A high-performance FAQ retrieval method using minimal differentiator expressions
Knowledge-Based Systems
Hi-index | 12.06 |
The traditional search engines return a large number of relative web pages rather than accurate answers. However, in a question answering system, users could use sentences in daily life to raise questions. The question answering system will analyze and comprehend these questions and return answers to users directly. Aiming at the problems in current network environment, such as low precision of question answering, imperfect expression of domain knowledge, low reuse rate and lack of reasonable theory reference models, we put forward the information integration method of semantic web based on pervasive agent ontology (SWPAO) method, which will integrate, analyze and process enormous web information and extract answers on the basis of semantics. With SWPAO method as the clue, we mainly study the method of concept extraction based on uniform semantic term mining, pervasive agent ontology construction method on account of multi-points and the answer extraction in view of semantic inference. Meanwhile, we present the structural model of the question answering system applying ontology, which adopts OWL language to describe domain knowledge base from where it infers and extracts answers by Jena inference engine, thus the precision of question answering in QA system could be improved. In the system testing, the precision has reached 86%, and recalling rate is 93%. The experiment indicates that this method is feasible and it has the significance of reference and value of further study for the question answering systems.