Now showing items 1-10 of 34
On a Linked Data platform for Irish historical vital records
The Irish Record Linkage 1864-1913 is a multi-disciplinary project aiming to create a platform for analyzing events captured in historical birth, marriage and death records by applying semantic technologies for annotating, ...
Using linked data to mine RDF from wikipedia's tables
The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ...
Learning content patterns from linked data
Linked Data (LD) datasets (e.g., DBpedia, Freebase) are used in many knowledge extraction tasks due to the high variety of domains they cover. Unfortunately, many of these datasets do not provide a description for their ...
A hybrid method for rating prediction using linked data features and text reviews
This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ...
A linked data-based decision tree classifier to review movies
In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...
LODr - A Linking Open Data Tagging System
This demo paper introduces LODr, a service providing semantic enrichment features for existing tagged content from various Web 2.0 services, based on the MOAT and Linked Data principles.
Linked Data tagging with LODr
We demonstrate one of the potential paths of the evolution of wiki engines towards Web 3.0. We introduce 3dWiki - the 3D wiki engine, which was built according to 2-Layer Interface Paradigm (2LIP). It was developed ...
Understanding Linked Open Data as a Web-Scale Database
While Linked Open Data (LOD) has gained much attention in the recent years, requirements and the challenges concerning its usage from a database perspective are lacking. We argue that such a perspective is crucial for ...
Federating Distributed Social Data to Build an Interlinked Online Information Society
While research on the relation- ship between the Semantic Web and social media was originally motivated by the lack of semantics in mainstream Web 2.0 ser- vices, this vision can go much further, impacting society at large ...
Learning from Linked Open Data Usage: Patterns & Metrics
Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the particular features of linked data usage. Motivating why it is important to understand the usage of Linked ...