Artificial intelligence
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
Reasoning about attitudes of complaining customers
Knowledge-Based Systems
dlvhex: A Prover for Semantic-Web Reasoning under the Answer-Set Semantics
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Query Answering for OWL-DL with rules
Web Semantics: Science, Services and Agents on the World Wide Web
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
Pushing efficient evaluation of HEX programs by modular decomposition
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Exhaustive simulation of consecutive mental states of human agents
Knowledge-Based Systems
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Complaints management is an important application of E-government. Collecting, combining, and ranking citizens' complaints is necessary for effective management. Existing complaints management applications expect the government officials to process each complaint one by one to decide which complaint should be dealt with first. This is time consuming and thus ineffective. To cope with this, we are developing an ontology-based complaints management system to manage complaints. We have developed a complaints ontology with which the complaints of the citizens can be expressed. Further, by specifying constraints on the complaints, the officials can specify which type of complaints are more important than others. We then apply these constraints on the citizens' complaints using a reasoner. This allows us to prioritize the complaints automatically and rank them based on importance. The government officials can then process the ranked list, knowing that they are dealing with the most urgent complaint at any given time.