LODr -- A Linking Open Data Tagging System

Currently, SG consists of 12 databases covering various plant species such as Banana, Cocoa, Maize and Rice. AgroLD is being developed in phases to expose all of these databases

The design of URIs satisfies the Linked Data principles 1) and 2). We also provide relevant information for the URI of each entity, and this implementation helps satisfy the

In most queries the time for first answer is increased because the number of times the original query is executed (#EQ) in parallel SemLAV is less than in SemLAV; furthermore,

In this paper, we present a system which makes scientific data available following the linked open data principle using standards like RDF und URI as well as the popular

In this paper, we describe Denote – our annotator that uses a structured ontology, machine learning, and statistical analysis to perform tagging and topic discovery.. A

In this paper, we present a Linked Data-driven, semantically-enabled journal portal (SEJP) that currently supports over 20 different interactive analysis modules.. These modules

Through a use case of world health organization data, this project shows that current linked open data technologies have a potential to represent heterogonous

Our concept matching algo- rithm ranks a list of potentially matching LOD entities with respect to a local thesaurus concept, based on their similarity.. This similar- ity is