Document (#36173)

Author

Fripp, D.

Title

Using linked data to classify web documents

Source

Aslib proceedings. 62(2010) no.6, S.585 - 595

Year

2010

Abstract

Purpose - The purpose of this paper is to find a relationship between traditional faceted classification schemes and semantic web document annotators, particularly in the linked data environment. Design/methodology/approach - A consideration of the conceptual ideas behind faceted classification and linked data architecture is made. Analysis of selected web documents is performed using Calais' Semantic Proxy to support the considerations. Findings - Technical language aside, the principles of both approaches are very similar. Modern classification techniques have the potential to automatically generate metadata to drive more precise information recall by including a semantic layer. Originality/value - Linked data have not been explicitly considered in this context before in the published literature.

Theme

Semantic Web
Klassifikationstheorie: Elemente / Struktur

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