Two approaches to the dataset interlinking recommendation problem
Whenever a dataset t is published on the Web of Data, an exploratory search over existing
datasets must be performed to identify those datasets that are potential candidates to be …
datasets must be performed to identify those datasets that are potential candidates to be …
From sensor data streams to linked streaming data: a survey of main approaches
KR Llanes, MA Casanova… - Journal of Information and …, 2016 - periodicos.ufmg.br
Today, large amounts of data are produced by sensor networks. They are continuously
producing data streams about real world phenomena. However, these data streams are …
producing data streams about real world phenomena. However, these data streams are …
Recommending geo-semantically related classes for link discovery
The growth of Web of Data led to the development of dataset recommendation
methodologies, which automate the discovery of datasets that may contain same or related …
methodologies, which automate the discovery of datasets that may contain same or related …
TRTML-a tripleset recommendation tool based on supervised learning algorithms
Abstract The Linked Data initiative promotes the publication of interlinked RDF triplesets,
thereby creating a global scale data space. However, to enable the creation of such data …
thereby creating a global scale data space. However, to enable the creation of such data …
[PDF][PDF] Detection of Related Semantic Datasets Based on Frequent Subgraph Mining.
We describe an approach to find similarities between RDF datasets, which may be
applicable to tasks such as link discovery, dataset summarization or dataset understanding …
applicable to tasks such as link discovery, dataset summarization or dataset understanding …
On materialized sameas linksets
Abstract The Linked Data initiative promotes the publication of previously isolated databases
as interlinked RDF datasets, thereby creating a global scale data space. Datasets are …
as interlinked RDF datasets, thereby creating a global scale data space. Datasets are …
Automatic creation and analysis of a linked data cloud diagram
Datasets published on the Web and following the Linked Open Data (LOD) practices have
the potential to enrich other LOD datasets in multiple domains. However, the lack of …
the potential to enrich other LOD datasets in multiple domains. However, the lack of …
[PDF][PDF] TRT-A Tripleset Recommendation Tool.
According to the Linked Data principles, a tripleset should be interlinked with others to take
advantage of existing knowledge. However, interlinking is a laborious task. Thus, users …
advantage of existing knowledge. However, interlinking is a laborious task. Thus, users …
Retrieval, crawling and fusion of entity-centric data on the web
S Dietze - Semantic Keyword-Based Search on Structured Data …, 2017 - Springer
While the Web of (entity-centric) data has seen tremendous growth over the past years, take-
up and re-use is still limited. Data vary heavily with respect to their scale, quality, coverage …
up and re-use is still limited. Data vary heavily with respect to their scale, quality, coverage …
[PDF][PDF] RecLAK: Analysis and Recommendation of Interlinking Datasets.
This paper presents the RecLAK, a Web application developed for the LAK Challenge 2014.
RecLAK focuses on the analysis of the LAK dataset metadata and provides …
RecLAK focuses on the analysis of the LAK dataset metadata and provides …