Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks
We propose a framework for ranking information based on quality, relevance and importance, and argue that a socio-semantic contextual approach that extends topicality can lead to increased value of information retrieval systems. We use Topic Maps to implement our framework, and discuss procedures for calculating the resource ranking. A fuzzy neural network approach is envisioned to complement the process of manual metadata creation.Read more
Virtual File System on top of Topic Maps
The UNIX file system provides a robust framework to abstract away from technical differences between various storage media. In this work summarizes experiences to define a virtual file system on top of an existing topic map. It clarifies the involved concepts, details the mapping and reports on first experiences with a proof-of-concept implementation.
Topic Maps, Dashboards and Sensemaking
As we migrate from document-centric to subject-centric computing, we are discovering new approaches to the online facilitation of collective sensemaking. Our approach is to federate with a central topic map the many different tools of hypermedia discourse, such as social bookmarking, semantic annotation, and dialogue mapping. We are learning that this federation facility provides opportunities for unique uses of aggregated sensemaking.Read more
Facet-based Exploratory Search in Topic Maps
In this contribution, we address exploratory search where a user is faced with an information need concerning a domain he lacks specific knowledge. Based on the work of Delbru et al., which introduced metrics to measure the navigational quality of automatically selected facets for RDF data, we apply those findings to the semantically richer TMDM and show how exploratory search functionality can be combined with existing approaches.
Topic Maps as Application Data Model for Subject-centric Applications
Today most applications operate on backends with application specific data models. In contrast to this, we suggest modelling application specific information structures at the level of content, and not at the level of the data model. We demonstrate our approach with a publicly accessible web application. Based on a domain ontology, and a set of knowledge models all content for the example application was mapped into a Topic Map.Read more
Subject Centric Computing: Fourth International Conference on Topic Map Research and Applications, TMRA 2008
Revised selected papers from TMRA 2008 are available as a free PDF download.
A TMCL tutorial
A TMCL tutorial from Lars Marius.
Scaling Topic Maps: Third International Conference on Topic Map Research and Applications, TMRA 2007
"This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Topic Map Research and Applications, TMRA 2007, held in Leipzig, Germany in October 2007.Read more
ActiveTM - The Factory for Domain-customised Portal Engines
Our goal is increasing the users’ value and experience and decreasing the implementation time for web portals. To achieve this goal we adopt a subject-centric perspective on information architecture. The fundament of this approach is that portals should be driven by subject-centric models of the portals’ domains. Out of these domain models, the interaction and interface design of the portals is self-evident.Read more
A CTM tutorial
The new compact textual syntax for Topic Maps being standardized by ISO, CTM, is now approaching stability, and so Lars Marius Garshol thought it would be good to provide a little tutorial on it to show people what the syntax looks like in the current draft.