TagSorting: A Tagging Environment for Collaboratively Building Ontologies
نویسندگان
چکیده
Social Tagging Systems (STS) empower users to classify and organize resources and to improve the retrieval performance over the tagged resources. In this paper we argue that the potential of the social process of assigning, finding, and relating symbols in collaborative tagging scenarios is currently underexploited and can be increased by extending the meta-model and using this extension to support the emergence of structured knowledge, e.g. semantic knowledge representations. We propose a model that allows tagging as well as establishing relations between any pair of resources, not just objects and tags. Moreover, we propose to use this extension to enrich and facilitate the process of building semantic knowledge representations. We (1) provide a formal description for our approach, (2) introduce an architecture to facilitate semantic knowledge derivation, and (3) present a preliminary experiment.
منابع مشابه
Modeling Utility Ontologies in Agentcities with a Collaborative Approach
This paper presents experiences about the modeling and implementation of utility ontologies used within the Agentcities initiative. Utility ontologies include domain-independent concepts which most services developed within the project use. Ontology building was carried out collaboratively among very different partners from industry and academia. The application domain of the ontologies is an o...
متن کاملNeOn Tool Support for Building Ontologies by Reuse
Reusing elements of external ontologies is generally considered a good practice as it reduces the cost of ontology building and improves quality and interoperability. Yet, while many ontologies are now available for reuse, ontology developers still find difficult to efficiently identify relevant ontologies, to locate items of interest within them, and to integrate these elements in their ontolo...
متن کاملFostering Knowledge Evolution through Community-based Participation
The ontology development process is typically led by single or small groups of experts, with users mostly playing a passive role. Such an elitist approach in building ontologies hinders the primary purpose of large-scale knowledge sharing. Collaborative tagging systems have emerged as a new web annotation method proving appealing features in fostering users to collaboratively organize informati...
متن کاملConcept Indexing using Ontology and Supervised Machine Learning
Nowadays, ontologies are the only widely accepted paradigm for the management of sharable and reusable knowledge in a way that allows its automatic interpretation. They are collaboratively created across the Web and used to index, search and annotate documents. The vast majority of the ontology based approaches, however, focus on indexing texts at document level. Recently, with the advances in ...
متن کاملBuilding ontologies from folksonomies and linked data: Data structures and Algorithms
We present the data structures and algorithms used in the approach for building domain ontologies from folksonomies and linked data. In this approach we extracts domain terms from folksonomies and enrich them with semantic information from the Linked Open Data cloud. As a result, we obtain a domain ontology that combines the emergent knowledge of social tagging systems with formal knowledge fro...
متن کامل