Normative Requirements as Linked Data

In order to avoid the need for users to specify a complex structured query upfront [2, 4] or for local free-text indexes to be built [5, 6], we propose an approach that combines

In the previous use case we wanted to integrate data into an existing knowledge base by using multiple heterogeneous data repositories and formats (called a hybrid federation)..

In the case of executing Linked Data queries the data is the actual query that needs to be executed, together with interme- diate results and possibly additional metadata provided

keywords (city) and formats (RDF - SPARQL, Turtle, JSON-LD, etc.) LDCP could there- fore support loading and querying of dataset metadata from DCAT-AP enabled catalogs and even

These DRs will be used to measure “semantic accuracy” (detecting wrong or inconsis- tent values), curate data (suggest new correct values) and enrich data the tar- get dataset

Motivated by GetThere, a passenger information sys- tem that crowdsources transport information from users (including per- sonal data, such as their location), four scenarios

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

In this paper we address the two mentioned problems by proposing a representation of the notions underlying the SemSim semantic similarity method [2], according to