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Volume 7, Issue 42016Selected papers from the combined EKAW 2014 and Semantic Web journal track
Reflects downloads up to 04 Oct 2024Bibliometrics
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research-article
Open Access
Distantly supervised Web relation extraction for knowledge base population

Extracting information from Web pages for populating large, cross-domain knowledge bases requires methods which are suitable across domains, do not require manual effort to adapt to new domains, are able to deal with noise, and integrate information ...

research-article
From hyperlinks to Semantic Web properties using Open Knowledge Extraction

Open information extraction approaches are useful but insufficient alone for populating the Web with machine readable information as their results are not directly linkable to, and immediately reusable from, other Linked Data sources. This work proposes a ...

research-article
Crowd-based ontology engineering with the uComp Protégé plugin

Crowdsourcing techniques provide effective means for solving a variety of ontology engineering problems. Yet, they are mainly used as external support to ontology engineering, without being closely integrated into the work of ontology engineers. In this ...

research-article
Visualizing ontologies with VOWL

The Visual Notation for OWL Ontologies (VOWL) is a well-specified visual language for the user-oriented representation of ontologies. It defines graphical depictions for most elements of the Web Ontology Language (OWL) that are combined to a force-...

research-article
Inferring recommendation interactions in clinical guidelines1

The formal representation of clinical knowledge is still an open research topic. Classical representation languages for clinical guidelines are used to produce diagnostic and treatment plans. However, they have important limitations, e.g. when looking for ...

research-article
DWRank: Learning concept ranking for ontology search

With the recent growth of Linked Data on the Web there is an increased need for knowledge engineers to find ontologies to describe their data. Only limited work exists that addresses the problem of searching and ranking ontologies based on a given query ...

research-article
Quality-based model for effective and robust multi-user pay-as-you-go ontology matching1

Using a pay-as-you-go strategy, we allow for a community of users to validate or invalidate mappings obtained by an automatic ontology matching system using consensus for each mapping. The ultimate objectives are effectiveness – improving the quality of ...

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