Faceted Exploration of Emerging Resource Spaces

TL;DR

This paper introduces the Emerging Resource Space Model, a novel faceted exploration framework that organizes resources into a lattice structure based on concepts, enabling richer, more semantic browsing of large-scale information networks.

Contribution

The paper proposes the ERS model with a lattice structure for resource categorization and exploration, along with efficient algorithms for mining and indexing, enhancing faceted navigation capabilities.

Findings

Supports instant response during exploration

Enables richer semantic exploration

Applicable to large-scale information sharing

Abstract

Humans have the ability to regcognize the real world from different facets. Faceted exploration is a mechanism for browsing and understanding large-scale resources in information network by multiple facets. This paper proposes an Emerging Resource Space Model, whose schema is a partially ordered set of concepts with subclassOf relation and each resource is categorized by multiple concepts. Emering Resource Space (ERS) is a class of resources characterized by a concept set. ERSes compose a lattice (ERSL) via concept association. A series of exploration operations is proposed to guide users to explore through ERSL with more demanding and richer semantics than current faceted navigation. To fulfill instant response during faceted exploration, we devise an efficient algorithm for mining and indexing ERSL. The proposed model can effectively support faceted exploration in various applications from personal information management to large-scale information sharing.