Matches in ScholarlyData for { ?s ?p ?o. }
- 442 isPartOf proceedings.
- 442 title "Logging in Distributed Workflows".
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- item-1 hasContent christoph-ringelstein.
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- item-2 hasContent steffen-staab.
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- 447 creator daniel-chavarri.
- 447 creator ignacio-alamillo.
- 447 creator mario-reyes-de-los-mozos.
- 447 type InProceedings.
- 447 label "Privacy and Capability Management for the European eIDM Framework ".
- 447 sameAs 447.
- 447 abstract "The natural evolution of eGovernment is to go beyond the management of identities and therefore it is necessary to manage people, companies or organizations, and their capabilities to interact with Public Administrations. When developing an application based on an eID management system, this management issue must be tackled within each application (i.e. demonstrate the capability of one person to act, demonstrate the economical reliability, demonstrate his professional status, etc ...) and is normally based on the local jurisdiction. The objective of the present paper is to introduce a distributed system for the privacy-enhanced management of the capabilities associated to a person within the EU framework, independently from the origin and destination EU member state. The core of this system is the intelligence of the Capabilities Resolution Nodes (CRN) to cope with the complexity of the capability resolution and the capability sources discovery in the pan-European scenario. A European Capacity Resolution Network will be able to grow up the interoperability of the digital identities provided and valid in each member state and will answer the question “is this person, identified with this digital identity and who is described by those attributes, allowed to carry out this legal act in this country according to its law?”. ".
- 447 hasAuthorList authorList.
- 447 isPartOf proceedings.
- 447 title "Privacy and Capability Management for the European eIDM Framework ".
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- item-1 hasContent mario-reyes-de-los-mozos.
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- item-2 hasContent ignacio-alamillo.
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- item-3 hasContent daniel-chavarri.
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- 11 creator enrico-motta.
- 11 creator tom-heath.
- 11 type InProceedings.
- 11 label "The Hoonoh Ontology for describing Trust Relationships in Information Seeking".
- 11 sameAs 11.
- 11 abstract "When seeking information through mechanisms such as word of mouth, people choose information sources and make trust judgments about these sources based on a range of factors, including the expertise of the source in relevant fields. In this paper we describe the Hoonoh Ontology, a vocabulary for describing these factors and publishing associated data on the Semantic Web. The ontology maps to existing vocabularies such as FOAF and SKOS, and when coupled with appropriate algorithms can be used to populate the Semantic Web with data to support expert finding initiatives.".
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- 11 title "The Hoonoh Ontology for describing Trust Relationships in Information Seeking".
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- item-1 hasContent tom-heath.
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- item-2 hasContent enrico-motta.
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- 2 creator geetha-manjunath.
- 2 creator markus-stumptner.
- 2 creator rajesh-thiagarajan.
- 2 type InProceedings.
- 2 label "Finding Experts By Semantic Matching of User Profiles".
- 2 sameAs 2.
- 2 abstract "Extracting interest profiles of users based on their personal documents is one of the key topics of IR research. However, when these extracted profiles are used in expert finding applications, only naive text-matching techniques are used to rank experts for a given requirement. In this paper, we address this gap and describe multiple techniques to match user profiles for better ranking of experts. We propose new metrics for computing semantic similarity of user profiles using spreading activation networks derived from ontologies. Our pilot evaluation shows that matching algorithms based on bipartite graphs over semantic user profiles provide the best results. We show that using these techniques, we can find an expert more accurately than other approaches, in particular within the top ranked results. In applications where a group of candidate users need to be short-listed (say, for a job interview), we get very good precision and recall as well.".
- 2 hasAuthorList authorList.
- 2 isPartOf proceedings.
- 2 title "Finding Experts By Semantic Matching of User Profiles".
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- item-1 hasContent rajesh-thiagarajan.
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- item-2 hasContent geetha-manjunath.
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- item-3 hasContent markus-stumptner.
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- 3 creator claudia-niederee.
- 3 creator gianluca-demartini.
- 3 type InProceedings.
- 3 label "Finding Experts on the Semantic Desktop".
- 3 sameAs 3.
- 3 abstract "Expert retrieval has attracted deep attention because of the huge economical impact it can have on enterprises. The classical dataset on which to perform this task is company intranet (i.e., personal pages, e-mails, documents). We propose a new system for finding experts in the user's desktop content. Looking at private documents and e-mails of the user, the system builds expert profiles for all the people named in the desktop. This allows the search system to focus on the user's topics of interest thus generating satisfactory results on topics well represented on the desktop. We show, with an artificial test collection, how the desktop content is appropriate for finding experts on the topic the user is interested in.".
- 3 hasAuthorList authorList.
- 3 isPartOf proceedings.
- 3 title "Finding Experts on the Semantic Desktop".
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