CREAM: creating relational metadata with a component-based, ontology-driven annotation framework

TLDR

Semantic Web depends on richly interlinked, machine‑understandable data, yet current annotation tools mainly support plain‑text templates such as Dublin Core and lack true relational metadata capabilities. The authors introduce CREAM, a framework that enables the construction of relational metadata for web documents. CREAM is a component‑based, ontology‑driven annotation tool (Ont‑O‑Mat) that builds class and relationship instances from domain ontologies while integrating metadata crawling, inference services, document management, and information extraction.

Abstract

Richly interlinked, machine-understandable data constitutes the basis for the Semantic Web. Annotating web documents is one of the major techniques for creating metadata on the Web. However, annotation tools so far are restricted in their capabilities of providing richly interlinked and truely machine-understandable data. They basically allow the user to annotate with plain text according to a template structure, such as Dublin Core. We here present CREAM (Creating RElational, Annotation-based Metadata), a framework for an annotation environment that allows to construct relational metadata, i.e. metadata that comprises class instances and relationship instances. These instances are not based on a fix structure, but on a domain ontology. We discuss some of the requirements one has to meet when developing such a framework, e.g. the integration of a metadata crawler, inference services, document management and information extraction, and describe its implementation, viz. Ont-O-Mat a component-based, ontology-driven annotation tool.