FalconAO: Aligning Ontologies with Falcon
نویسندگان
چکیده
Falcon-AO is an automatic tool for aligning ontologies. There are two matchers integrated in Falcon-AO: one is a matcher based on linguistic matching for ontologies, called LMO; the other is a matcher based on graph matching for ontologies, called GMO. In Falcon-AO, GMO takes the alignments generated by LMO as external input and outputs additional alignments. Reliable alignments are gained through LMO as well as GMO according to the concept of reliability. The reliability is obtained by observing the linguistic comparability and structural comparability of the two ontologies being compared. We have performed Falcon-AO on tests provided by OAEI 2005 campaign and got some preliminary results. In this paper, we describe the architecture and techniques of Falcon-AO in brief and present our results in more details. Finally, comments about test cases and lessons learnt from the campaign will be presented.
منابع مشابه
The Results of Falcon-AO in the OAEI 2006 Campaign
In this paper, we briefly introduce the architecture of Falcon-AO (version 0.6) and highlight two major improvements in the current version. FalconAO successfully completes all the five alignment tasks in the OAEI 2006 campaign: benchmark, anatomy, directory, food, and conference, and some preliminary results are also reported in this paper. In the end, we present some comments about our result...
متن کاملFalcon-AO: Results for OAEI 2007
In this paper, we present a brief overview of Falcon-AO (version 0.7): a practical ontology matching system with acceptable to very good performance, a flexible architecture, and a number of unique features. We also show some preliminary results of Falcon-AO for this year’s OAEI campaign: evaluation on seven different matching tasks. 1 Presentation of the system As an infrastructure for Semanti...
متن کاملFalcon-AO++: An Improved Ontology Alignment System
With the semantic web, data becomes machine-readable and ontologies define the data. Ontologies in any domain are heterogeneous due to rapid increase in ontology development and differences in views of developers. Agents can fully understand the data only if the correspondences between ontologies are known. Various ontology alignment systems have been developed to automatically discover such co...
متن کاملCentralized Clustering Method To Increase Accuracy In Ontology Matching Systems
Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...
متن کاملCreating a Bilingual Ontology: A Corpus-Based Approach for Aligning WordNet and HowNet
The growing importance of multilingual information retrieval and machine translation has made multilingual ontologies an extremely valuable resource. Since the construction of an ontology from scratch is a very expensive and time consuming undertaking, it is attractive to explore ways of automatically aligning monolingual ontologies which already exist. This paper presents a language-independen...
متن کامل