A classification of semantic conflicts in heterogeneous database systems
WITS '92 Selected papers of the workshop on Information technologies and systems
Fault-tolerant computer system design
Fault-tolerant computer system design
Consensus Ontologies: Reconciling the Semantics of Web Pages and Agents
IEEE Internet Computing
Embedded Robustness IPs for Transient-Error-Free ICs
IEEE Design & Test
IEEE Intelligent Systems
Piazza: data management infrastructure for semantic web applications
WWW '03 Proceedings of the 12th international conference on World Wide Web
Evaluation of a Soft Error Tolerance Technique Based on Time and/or Space Redundancy
SBCCI '00 Proceedings of the 13th symposium on Integrated circuits and systems design
Remindin': semantic query routing in peer-to-peer networks based on social metaphors
Proceedings of the 13th international conference on World Wide Web
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
Effective Data Integration in the Presence of Temporal Semantic Conflicts
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
Mapping maintenance for data integration systems
VLDB '05 Proceedings of the 31st international conference on Very large data bases
A timing analysis model for ontology evolutions based on distributed environments
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mapping maintenance in XML p2p databases
DBPL'05 Proceedings of the 10th international conference on Database Programming Languages
Emergent semantics in knowledge sifter: an evolutionary search agent based on semantic web services
Journal on Data Semantics VI
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Overcoming semantic mapping faults, i.e. semantic incompatibility, is a vital issue for the success of semantic-based peer-to-peer systems. There are various research efforts which address the classification and the resolution of the semantic mapping fault problem, i.e. translation errors. All of the precedent research related to semantic mapping faults demonstrates one significant shortcoming. This flaw is the inability to discriminate between non-permanent and permanent semantic mapping faults, i.e. how long do semantic incompatibilities stay effective and are the semantic incompatibilities permanent or temporary? The current research examines the destructive effect of semantic mapping faults on the Emerging Semantics, i.e. bottom-up construction of ontology and proposes a solution to detect temporal semantic mapping faults. The current research also demonstrates that fault-tolerant semantic mapping will result in Emerging Semantics which are more complete and agreeable than those domain ontologies that are built without consideration for fault-tolerant semantic mapping.