Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of schema-based matching approaches
Journal on Data Semantics IV
Ontology alignment for linked open data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Contextual ontology alignment of LOD with an upper ontology: a case study with proton
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Probabilistic-logical web data integration
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Coherent top-k ontology alignment for OWL EL
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
A machine learning approach to multilingual and cross-lingual ontology matching
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Local neighbor enrichment for ontology integration
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Building linked ontologies with high precision using subclass mapping discovery
Artificial Intelligence Review
Statistical relational data integration for information extraction
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
CooL-AgentSpeak: Endowing AgentSpeak-DL agents with plan exchange and ontology services
Web Intelligence and Agent Systems
CooL-AgentSpeak: Endowing AgentSpeak-DL agents with plan exchange and ontology services
Web Intelligence and Agent Systems
| Hi-index | 0.00 |
This paper presents a simple and adaptable matching method dealing with web directories, catalogs and OWL ontologies. By using a well-known Knowledge Discovery in Databases model, such as the association rule paradigm, this method has the originality to be both extensional and asymmetric. It works at the terminological level (by selecting concept-relevant terms contained in documents) and permits to discover equivalence and also subsumption relations holding between entities (concepts and properties). This method relies on the implication intensity measure, a probabilistic model of deviation from independence. Selection of significant rules between concepts (or properties) is lead by two criteria permitting to assess respectively the implication quality and the generativity of the rule. Finally, the proposed method is evaluated on two benchmarks. The first contains two conceptual hierarchies populated with textual documents and the second one is composed of OWL ontologies.