LODS: A Linked Open Data Based Similarity Measure

Abstract

International audienceWith the rapid evolution of Linked Open Data (LOD), researchers are exploiting it to solve particular problems such as semantic similarity assessment. Existing LOD-based semantic similarity approaches attach compared data (terms or concepts) to LOD resources to exploit their semantic descriptions and relationships with other resources and estimate the degree of overlap between resources. Current approaches suffer from two limitations: they focus on the analysis of links between resources and ignore the important taxonomic structure of concepts and categories used to describe resources. On the other hand, they do not exploit interlinks between LOD resources in order to enrich data used to compute the similarity score. In this paper, we overcome the above limitations by proposing a new LOD-based similarity measure based on the combination of ontological, classification and property dimensions of LOD resources

Toward Reconfiguration of BPaaS Based on SaaS Services using Clustering and Boolean Satisfiability

“…Service inputs and outputs are annotated with semantic resources. Similarity hence compares the distance between those resources in LOD graph to return a composability likelihood among services [8]. This operation results in a weighted graph where nodes are services linked by weighted composition edges.…”

“…This initiative has created a big collection of interrelated datasets on the Web referred to as LOD Cloud. 1 LOD is now used in several researches such as semantic similarity assessment [8] or content-based recommendation [10].…”

“…Semantic relations can be used to compute semantic similarities or recommendations. These relations can be discovered by LOD-based semantic similarity measures such as LODS [8].…”

“…Algorithm 3 computes the semantic distance between service inputs and outputs for two given services S u and S v (Lines 1 and 2) annotated with LOD resources. This algorithm is based on existing LOD-based semantic similarity measures such as LOD-based similarity measure [8]. A high similarity value indicates a high composability likelihood.…”

Enriquecimento semântico de repositórios de videoaulas: um estudo de caso

“…Embora este padrão seja propício para esse tipo de aplicação, muitos repositórios abertos não usam os padrões SCORM e LOM (Learning Object Metadata), comoé o caso do repositório da RNP. Outros trabalhos fazem uso de dados ligados ou bases de conhecimento para calcular a similaridade entre recursos [Zhu and Iglesias 2017, Herrera et al 2016, Cheniki et al 2016. O presente trabalho faz uso do grafo de conceitos da DBpedia para identificar vídeos com conteúdos correlatos.…”