Using Context Dependent Semantic Similarity to Browse Information Resources: an Application for the Industrial Design

TL;DR

This paper presents a context-dependent semantic similarity approach for browsing diverse information resources, specifically applied to industrial design to facilitate multi-perspective exploration of 3D digital objects.

Contribution

It introduces a novel semantic similarity method that adapts to different contexts for improved resource browsing in industrial design.

Findings

Effective browsing of 3D objects using context-dependent similarity

Application of semantic similarity to diverse resource types

Demonstrated utility in industrial design scenarios

Abstract

This paper deals with the semantic interpretation of information resources (e.g., images, videos, 3D models). We present a case study of an approach based on semantic and context dependent similarity applied to the industrial design. Different application contexts are considered and modelled to browse a repository of 3D digital objects according to different perspectives. The paper briefly summarises the basic concepts behind the semantic similarity approach and illustrates its application and results.