Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances

iQbees: Interactive Query-by-example Entity Search in Semantic Knowledge Graphs

“…We consider the specific scenario where entities from a knowledge graph are searched. Existing systems usually build on entity similarity measures, exploiting the graph structure (e.g., SimRank [8]), the context of entities in the graph (e.g., Albertoni and De Marino [9]), or additional context outside the graph (e.g., Bron et al [10], which combines a term-based language model with a simple structural model).…”

Context Enabled Semantic Granularity

“…The advances of this work with respect to our previous results [3,2] are: (i) the layered framework becomes a potential common frame for context dependent ontology driven methods: we demonstrate it is suitable for both the semantic similarity and the granularity; (ii) we propose an extension of the application context formalism for the granularity: we define new operations and functions to be adopted for the analysis of ontology entities; (iii) we illustrate a more flexible evaluation of semantic granularity throughout its context dependent parameterization. Overall, the main benefit of this work is to enable a user-oriented browsing: the user may formulate, learn and modify the granularity criteria induced by the context.…”

“…It is an extension of the formalization illustrated in [3]. An application context is defined by an ontology engineer, according to specific application needs.…”

“…Herein, we adopt the ontology model equivalent to an ontology with data types and defined in [3]. In addiction to δ a , δ r , δ c that retrieve the attributes, the relations and the concepts reachable by a given concept or relation, we defined the…”

“…Thus, in this paper we propose a context dependent semantic granularity method. It originates from the research results presented in [3], where the application context has been formalized in order to parameterize the semantic similarity among ontology instances. The application context models the importance of ontology entities (i.e., classes, attributes and relations) that concur in the granularity assessment as well as the different operations used to analyse them.…”