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- 565 creator andreas-schmidt.
- 565 creator andreas-walter.
- 565 creator simone-braun.
- 565 creator valentin-zacharias.
- 565 type InProceedings.
- 565 label "The Ontology Maturing Approach for Collaborative and Work Integrated Ontology Development: Evaluation Results and Future Directions".
- 565 sameAs 565.
- 565 abstract "Ontology maturing as a conceptual process model is based on the assumption that ontology engineering is a continuous collaborative and informal learning process and always embedded in tasks that make use of the ontology to be developed. For supporting ontology maturing, we need lightweight and easy-to-use tools integrating usage and construction processes of ontologies. Within two applications - ImageNotion for semantic annotation of images and SOBOLEO for semantically enriched social bookmarking - we have shown that such ontology maturing support is feasible with the help of Web 2.0 technologies. In this paper, we want to present the conclusions from two evaluation sessions with end users and summarize requirements for further development.".
- 565 hasAuthorList authorList.
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- 565 title "The Ontology Maturing Approach for Collaborative and Work Integrated Ontology Development: Evaluation Results and Future Directions".
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- item-1 hasContent andreas-walter.
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- item-2 hasContent andreas-schmidt.
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- item-3 hasContent simone-braun.
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- item-4 hasContent valentin-zacharias.
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- 566 creator george-vouros.
- 566 creator konstantinos-kotis.
- 566 creator christos-chalkiopoulos-christos.
- 566 creator nikoleta-lelli.
- 566 type InProceedings.
- 566 label "The HCOME-3O Framework for Supporting the Collaborative Engineering of Evolving Ontologies".
- 566 sameAs 566.
- 566 abstract "Nowadays it is widely accepted that ontologies, the key technology for the realization of the Semantic Web, are artefacts that are collaboratively and iteratively developed/evolved, shared, evaluated and discussed within communities of knowledge workers. To enhance the potential of ontologies to be collaboratively engineered and be consistently evolved within and between different communities, they must be escorted with rich meta-information describing the conceptualisations they realize, implementation decisions, the rationale for their evolution, as well as the evolution itself. To support the collaborative engineering of ontologies within and across different communities, this paper proposes a framework of (meta-)ontologies for capturing the meta-information that is necessary for interlinking, sharing, and combining knowledge among the parties involved in such a process. The framework is being embedded in the HCOME ontology engineering methodology, and can be applied to the design and implementation of ontology engineering tools towards advancing their interoperability.".
- 566 hasAuthorList authorList.
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- 566 title "The HCOME-3O Framework for Supporting the Collaborative Engineering of Evolving Ontologies".
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- item-1 hasContent konstantinos-kotis.
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- item-2 hasContent george-vouros.
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- item-3 hasContent christos-chalkiopoulos-christos.
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- item-4 hasContent nikoleta-lelli.
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- 567 creator timo-muenster.
- 567 creator tobias-kowatsch.
- 567 creator wolfgang-maass.
- 567 type InProceedings.
- 567 label "Vocabulary Patterns in Free-for-all Collaborative Indexing Systems".
- 567 sameAs 567.
- 567 abstract "In collaborative indexing systems users generate a big amount of metadata by labelling web-based content. These labels are known as tags and form a shared vocabulary. In order to understand the characteristics of that vocabulary, we study structural patterns of these tags by implying the theory of self-organizing systems. Therefore, we utilize the graph theoretic notion to model the network of tags and their valued connections, which represent frequency rates of co-occurring tags. Empirical data is provided by the free-for-all collaborative indexing systems Delicious, Connotea and CiteULike. First, we measure the frequency distribution of co-occurring tags. Secondly, we correlate these tags towards their rank over time. Results indicate a strong relationship among a few tags as well as a notable persistence of these tags over time. Therefore, we make the educated guess that the observed collaborative indexing systems are self-organizing systems towards a shared vocabulary building. Implications on the results are the presence of semantic domains based on high frequency rates of co-occurring tags, which reflect topics of interest among the user community. When observing those semantic domains over time, that information can be used to provide a historical or trend-setting development of the community's interests, thus enhancing collaborative indexing systems in general as well as providing a new tool to develop community-based products and services at the same time.".
- 567 hasAuthorList authorList.
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- 567 title "Vocabulary Patterns in Free-for-all Collaborative Indexing Systems".
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- item-1 hasContent wolfgang-maass.
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- item-2 hasContent tobias-kowatsch.
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- item-3 hasContent timo-muenster.
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- 568 creator cedric-pruski.
- 568 creator chantal-reynaud.
- 568 creator nicolas-guelfi.
- 568 type InProceedings.
- 568 label "Understanding and Supporting Ontology Evolution by Observing the WWW Conference".
- 568 sameAs 568.
- 568 abstract "Ontologies which represent domain knowledge in information systems are efficient to enhance information retrieval. However, domain knowledge is evolving over time and thus it should be also expressible at ontology level. Unfortunately, we consider that ontology evolution is barely study and its basic principles have not been yet precisely defined according to our notion of evolution. In this paper, we have followed a bottom-up approach consisting in a rigorous analysis of the evolution of a particular domain over a significant period of time (namely the WWW series of conference over a decade) to highlight concrete domain knowledge evolutions. We then have generalized and we present a precise set of evolution features that should be offered by ontology metamodels. We also evaluate the modelling capabilities of OWL to represent these features and finally, we show the contribution of ontology evolution support to improve Web information retrieval.".
- 568 hasAuthorList authorList.