Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service

Abstract

Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail. Automated applications have been developed, implementing diverse aligning techniques and similarity measures, with outstanding performance. However, there are use cases where automated linking fails and there must be involvement of the human factor in order to create, or not create, a link. In this paper we present Alignment, a collaborative, system aided, interactive ontology matching platform. Alignment offers a user-friendly environment for matching two ontologies with the aid of configurable similarity algorithms.

Ontology Matching: State of the Art, Future Challenges, and Thinking Based on Utilized Information

“…To achieve improved performance, many matching schemes compute the similarity of lexical information by combining text similarity with dictionary-based similarity [14]- [16], [18], [44], [45].…”

“…Node similarity in the graph is computed to represent similarity between entity structures. Methods for representing the ontology graph include the RDF(S) graph [18], senses sub-graph, layered entity graph [15], [45], and directed/undirected graph. Schemes for computing similarity between nodes in the graph include similarity flooding [26], [44], graph matching [27], circuit model [4], Bayesian decision theory [28], Markov network [29], association rule paradigm [30], and so on.…”

Colaboração para a Reparação de Alinhamento de Ontologias

“…No trabalho [Karampatakis et al 2018]é proposto o sistema Alignment, um sistema colaborativo para o alinhamento de ontologias interativo, fornecendo um ambiente simples apoiado por algoritmos de similaridade. [Smirnov e Shilov 2013] propõem um sistema de recomendação colaborativo para o alinhamento de ontologias, baseando-se em características como o perfil de usuário, gestão de contexto, serviços web etc.…”