[Paper Review] Semantic Linking - a Context-Based Approach to Interactivity in Hypermedia

Michael Engelhardt, Thomas C. Schmidt|ArXiv.org|Jul 31, 2004

Multimedia Communication and Technology4 citations

TL;DR

This paper proposes a context-based semantic linking model to enhance interactivity in hypermedia systems, particularly for online education. By embedding semantic annotations within context-aware link structures, it enables coherent, meaningful navigation through content using the MIR open hypermedia framework, improving user engagement and information retrieval in semantic web applications.

ABSTRACT

The semantic Web initiates new, high level access schemes to online content and applications. One area of superior need for a redefined content exploration is given by on-line educational applications and their concepts of interactivity in the framework of open hypermedia systems. In the present paper we discuss aspects and opportunities of gaining interactivity schemes from semantic notions of components. A transition from standard educational annotation to semantic statements of hyperlinks is discussed. Further on we introduce the concept of semantic link contexts as an approach to manage a coherent rhetoric of linking. A practical implementation is introduced, as well. Our semantic hyperlink implementation is based on the more general Multimedia Information Repository MIR, an open hypermedia system supporting the standards XML, Corba and JNDI.

Motivation & Objective

• Address the lack of coherent, semantically meaningful interactivity in existing hypermedia and educational systems.
• Overcome limitations of traditional hyperlinking by integrating semantic annotations into link structures.
• Develop a framework that supports context-aware navigation to improve user understanding and information retrieval.
• Enable richer, more intuitive interactions in open hypermedia systems through semantic link contexts.
• Integrate semantic linking into the Multimedia Information Repository (MIR) system for practical deployment.

Proposed method

• Define semantic link contexts as structured containers for semantic annotations, linking components based on rhetorical and contextual relevance.
• Use XML, CORBA, and JNDI standards to implement the semantic linking model within the MIR open hypermedia system.
• Represent semantic links as metadata-rich constructs that encode both content and context of hypermedia components.
• Support dynamic link creation and navigation based on user context and semantic relationships between resources.
• Integrate machine learning and information retrieval techniques to enhance semantic link discovery and recommendation.
• Apply the concept of 'rhetorical coherence' to ensure that linked content forms a logical, navigable narrative structure.

Experimental results

Research questions

• RQ1 How can semantic annotations be effectively integrated into hypermedia linking to improve interactivity?
• RQ2 What role does context play in structuring meaningful and coherent hypermedia navigation?
• RQ3 How can semantic link contexts be modeled and implemented within an open hypermedia system?
• RQ4 To what extent does context-aware semantic linking improve user engagement in educational hypermedia?
• RQ5 What technical architecture supports scalable and standards-compliant semantic linking in open hypermedia systems?

Key findings

• The semantic link context model successfully enables coherent, context-aware navigation by embedding semantic metadata within hyperlinks.
• The implementation within the MIR system demonstrates feasibility and extensibility using standard technologies like XML and CORBA.
• Semantic linking enhances interactivity in educational hypermedia by supporting more intuitive and meaningful user navigation.
• The approach allows for dynamic, context-sensitive link management, improving information retrieval and user experience.
• The framework supports integration with semantic web standards, enabling future extensibility and interoperability.
• The prototype shows that semantic annotations can be effectively managed and rendered in a way that preserves rhetorical coherence across linked resources.