The semantic web: what, why, how, and when

Harmelen, Frank van

doi:10.1109/mdso.2004.1285880

Cited by 17 publications

(8 citation statements)

References 1 publication

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“…These documents have content-related descriptors referring to the concepts specified in an external knowledge base [12]; for example, the meta-data tags in XML, RDF, OWL, DAML, and XHTML documents citing the concepts specified in knowledge bases. These kinds of documents, with semantic meta-data, are becoming popular on the Web today, and are argued to be the mainstream of semantic Web documents [2,68]. In this paper, such personal information collection is called a user's local instance repository, and each element in an LIR is called an instance.…”

Section: User Local Instance Repositoriesmentioning

confidence: 99%

A knowledge-based model using ontologies for personalized web information gathering

Tao

Zhong

2010

Web Intelligence and Agent Systems: An International Journal

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Nowadays, how to gather useful and meaningful information from the Web has become challenging to all users because of the explosion in the amount of Web information. However, the mainstream of Web information gathering techniques has many drawbacks, as they are mostly keyword-based. It is argued that the performance of Web information gathering systems can be significantly improved if user background knowledge is discovered and a knowledge-based methodology is used. In this paper, a knowledge-based model is proposed for Web information gathering. The model uses a world knowledge base and user local instance repositories for user profile acquisition and the capture of user information needs. The knowledge-based model was successfully evaluated by comparing a manually implemented user concept model. The proposed knowledge-based model contributes to better designs of knowledge-based and personalized Web information gathering systems.

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Section: User Local Instance Repositoriesmentioning

confidence: 99%

A knowledge-based model using ontologies for personalized web information gathering

Tao

Zhong

2010

Web Intelligence and Agent Systems: An International Journal

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“…To add the layer of semantics to the existing web, three challenges need to be achieved (Harmelen, 2004):…”

Section: Ontologies In Educationmentioning

confidence: 99%

Automatic document-level semantic metadata annotation using folksonomies and domain ontologies

Al‐Khalifa

Rubart

2008

SIGWEB Newsl.

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The last few years have witnessed a fast growth of the concept of Social Software. Be it video sharing such as YouTube, photo sharing such as Flickr, community building such as MySpace, or social bookmarking such as del.icio.us. These websites contain valuable user-generated metadata called folksonomies. Folksonomies are ad hoc, light-weight knowledge representation artefacts to describe web resources using people's own vocabulary. The cheap metadata contained in such websites presents potential opportunities for us (researchers) to benefit from. This thesis presents a novel tool that uses folksonomies to automatically generate metadata with educational semantics in an attempt to provide semantic annotations to bookmarked web resources, and to help in making the vision of the Semantic Web a reality. The tool comprises two components: the tags normalisation process and the semantic annotation process. The tool uses the del.icio.us social bookmarking service as a source for folksonomy tags.The tool was applied to a case study consisting of a framework for evaluating the usefulness of the generated semantic metadata within the context of a particular eLearning application. This implementation of the tool was evaluated over three dimensions: the quality, the searchability and the representativeness of the generated semantic metadata. The results show that folksonomy tags were acceptable for creating semantic metadata. Moreover, folksonomy tags showed the power of aggregating people's intelligence.The novel contribution of this work is the design of a tool that utilises folksonomy tags to automatically generate metadata with fine gained and extra educational semantics.iii

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“…Driven by this motivation, this paper presents Daedalus as a best practice example for enabling cross-border collaboration and exchange of information about career and employment opportunities in the Mediterranean basin that takes into advantage innovative ICT technologies such as the Web 2.0 [3], social networking [4], and the semantics web [5]. Daedalus engages all the relevant stakeholders (regional employers, youngsters, youth organisations, academic institutions and migration offices) having as its main objectives the posting of job vacancies seeking qualified young people that are available in the Mediterranean and EU markets, the identification of partnerships and of potential investment opportunities and the development of cross-border business plans using advanced ICT tools.…”

Section: Introductionmentioning

confidence: 99%

Daedalus: An ICT Tool for Employment within the Mediterranean Basin Region

Salichos

Polemi

Douligeris

et al. 2016

Social Media: The Good, the Bad, and the Ugly

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The latest web technologies can be instrumental in allowing the dissemination of job opportunities to under-represented groups and in making these groups aware of the job market needs and requirements This paper presents the design, architecture and functionalities of DAEDALUS, an ICT tool that provides collaborative employment services to young people from the Mediterranean basin countries involving regional entrepreneurs, ICT companies, and employment associations. Special attention is paid to the presentation of the services offered by Daedalus that assist regional administrators to monitor the current and forecast the future national and regional matching of market demands and supply needs in order to enhance the regional labor market. Challenges and shortcoming of this effort as well as future evaluation directions are highlighted.

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The semantic web: what, why, how, and when

Cited by 17 publications

References 1 publication

A knowledge-based model using ontologies for personalized web information gathering

A knowledge-based model using ontologies for personalized web information gathering

Automatic document-level semantic metadata annotation using folksonomies and domain ontologies

Daedalus: An ICT Tool for Employment within the Mediterranean Basin Region

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