Semantic Browsing of a Domain Specific Resources: The Corese-NeLI Framework

Diallo, Gayo; Khelif, Khaled; Corby, Olivier; Kostkova, Patty; Madle, Gemma

doi:10.1109/wiiat.2008.110

Cited by 7 publications

(6 citation statements)

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“…Oyster is a Peer-toPeer system for exchanging ontology metadata among communities in the Semantic Web and it assists researchers in re-using existing ontologies. ServO completes this approach by allowing indexing also the entities of ontologies In order to test some of the functionalities offered by ServO, we have implemented a Web interface running under an Apache Tomcat Application container 6 . Some defaults configurations are provided (for instance the maximum similarity level is chosen to 1, in this case all retrieved concepts are displayed to the user) and three KOS are indexed (ontologies about anatomical and functional aspect of the brain 7 and patient oriented breast cancer structured vocabulary).…”

Section: Discussionmentioning

confidence: 99%

“…The basis of semantic browsing is the use of one or several knowledge organization systems as background knowledge. Tools in this topic include the COHSE System [2], PowerMagpie [11] and those developed in the course of the SeaLife project [18] for instance the Corese-NeLI browser [6] and GoPubmed [9]. The objective of SeaLife was the design and implementation of a semantic Grid browser for the life sciences, which links existing Web resources to available eservices.…”

Section: Semantic Browsing Of Biomedical Informationmentioning

confidence: 99%

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Efficient Building of Local Repository of Distributed Ontologies

Diallo

2011

2011 Seventh International Conference on Signal Image Technology &Amp; Internet-Based Systems

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The semantic web (SW) realization leads researchers and IT professionals to design and develop many knowledge based (KB) applications. Ontologies and other structured vocabularies are used as their knowledge organization system (KOS). Research scientists and practitioners use ontologies to annotate data for facilitating data sharing and integration. The Linked Open Data initiative has opened new perspectives for integrating heterogeneous data on the web. The increasing availability of KOS on the web as well as ad hoc classifications built for specific purposes and not yet present in the infrastructure of the Semantic Web raises the question of their identification and reuse. In this perspective, we have designed and implemented ServO (Server of Ontologies), a tool for fast building distributed ontologies repository. The repository is then used to compute similarity between their entities. The ontologies, described in the RDF and OWL standard languages can be dynamically managed within the repository. ServO is available as a Java API and is based on IR techniques. A web client prototype has been implemented to showcase some functionalities of the tool.

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Section: Discussionmentioning

confidence: 99%

Section: Semantic Browsing Of Biomedical Informationmentioning

confidence: 99%

Efficient Building of Local Repository of Distributed Ontologies

Diallo

2011

2011 Seventh International Conference on Signal Image Technology &Amp; Internet-Based Systems

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“…The SWBs that were evaluated were the three Sealife browsers: COHSE [11], a CORESE-based SWB [12], and GoPubMed [13] and its related system GoGene as well as an extended version of GoPubMed. The control platform for COHSE and the CORESE-based SWB was the NeLI Digital Library (DL) [14], which has infectious disease professionals as its target audience.…”

Section: Sealife Swb Evaluationmentioning

confidence: 99%

Data Triangulation in a User Evaluation of the Sealife Semantic Web Browsers

Oliver

Kostkova

Quincey

2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. There is a need for greater attention to triangulation of data in usercentred evaluation of Semantic Web Browsers. This paper discusses triangulation of data gathered during development of a novel framework for user-centred evaluation of Semantic Web Browsers. The data was triangulated from three sources: quantitative data from web server logs and questionnaire results, and qualitative data from semi-structured interviews. This paper shows how triangulation was essential in validation and completeness of the results, and was indispensable in ensuring accurate interpretation of the results in determining user satisfaction.

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“…Electronics and Computer Science, University of Southampton; 2007). In this paper we use the term Semantic Web Browser (SWB) for any browser which: i) uses at least one knowledge organisation system (KOS), either a structured vocabulary or an ontology, to support the browsing; ii) is able to identify and highlight "useful" terms in the content being visited; iii) enables semantic interpretation of these Web pages and adds semantic hyperlinks to their highlighted terms, iv) gathers additional information from the highlighted terms, which may involve access to external data and services (e.g., European Bioinformatics Institute or PubMed) [ 7 ] called targets .…”

Section: Introductionmentioning

confidence: 99%

“…The first browser, COHSE-NeLI, is based on the Conceptual Open Hypermedia System (COHSE) [ 8 ] developed by the University of Southampton and the University of Manchester. The second is the CORESE-NeLI framework [ 7 ] based on the CORESE engine developed at INRIA. Finally, the GoPubMed/GoGene SWBs are developed at the Technical University of Dresden [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

A user-centred evaluation framework for the Sealife semantic web browsers

et al. 2009

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BackgroundSemantically-enriched browsing has enhanced the browsing experience by providing contextualised dynamically generated Web content, and quicker access to searched-for information. However, adoption of Semantic Web technologies is limited and user perception from the non-IT domain sceptical. Furthermore, little attention has been given to evaluating semantic browsers with real users to demonstrate the enhancements and obtain valuable feedback. The Sealife project investigates semantic browsing and its application to the life science domain. Sealife's main objective is to develop the notion of context-based information integration by extending three existing Semantic Web browsers (SWBs) to link the existing Web to the eScience infrastructure.MethodsThis paper describes a user-centred evaluation framework that was developed to evaluate the Sealife SWBs that elicited feedback on users' perceptions on ease of use and information findability. Three sources of data: i) web server logs; ii) user questionnaires; and iii) semi-structured interviews were analysed and comparisons made between each browser and a control system.ResultsIt was found that the evaluation framework used successfully elicited users' perceptions of the three distinct SWBs. The results indicate that the browser with the most mature and polished interface was rated higher for usability, and semantic links were used by the users of all three browsers.ConclusionConfirmation or contradiction of our original hypotheses with relation to SWBs is detailed along with observations of implementation issues.

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Semantic Browsing of a Domain Specific Resources: The Corese-NeLI Framework

Cited by 7 publications

References 7 publications

Efficient Building of Local Repository of Distributed Ontologies

Efficient Building of Local Repository of Distributed Ontologies

Data Triangulation in a User Evaluation of the Sealife Semantic Web Browsers

A user-centred evaluation framework for the Sealife semantic web browsers

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