KMi Publications

Tech Reports

Tech Report KMI-06-13 Abstract


A Document-Centric Semantic Annotation Environment to Support Sense-Making
Techreport ID: KMI-06-13
Date: 2006
Author(s): Bertrand Sereno
Download PDF

Prototype Internet infrastructures for scholarly publishing are offering powerful new services over the interconnected ideas and arguments in a literature. However, such services depend on documents being semantically annotated with readers' interpretations, which up until now has been a manual process due to the complexity of such analysis. This thesis investigates the challenge of designing computer-support for document annotation in the context of potentially diverse, contested views about a text's significance, as typifies scholarly research. An interaction design approach is followed to progressively understand the dialogue between the end-users and an appropriate annotation environment. A preliminary analysis of the annotators' goals if followed by an experiment to identify the activities performed in this sense-making task, and a desk research phase, in which approaches to support each of these activities are identified. An active document annotation environment (ClaimSpotter) is then presented. It is built on an open and extensible architecture, which can incorporate new text analysis components as required to overlay annotations onto the original text to draw attention to sections, which may be particularly significant. Facilities to filter and navigate the document in novel ways, to record annotations or reuse existing ones, and to provide pointers to related documents and annotations based on connections mediated by semantic annotations are offered. The tool is finally evaluated in an experimental setting, resulting in a dataset which supported quantitative and qualitative analysis of the end-users' products and process. The analysis characterises how the semantic annotation scheme is used by novices and experts, and how the user interface's rendering of system and end-user annotations shapes interaction. The thesis assesses critically the strengths and weaknesses of the work, providing justification for further cycles of the approach, and concluding with research questions meriting further investigation.

Publication(s):

Sereno, B. (2006). A Document-Centric Semantic Annotation Environment to Support Sense-Making. Unpublished Doctoral Thesis, Knowledge Media Institute, The Open University, Milton Keynes, UK . Submitted May 2005, Approved July 2006 [http://kmi.open.ac.uk]
 
KMi Publications
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.