LIMES: A Framework for Link Discovery on the Semantic Web
Abstract The Linked Data paradigm builds upon the backbone of distributed knowledge
bases connected by typed links. The mere volume of current knowledge bases as well as …
bases connected by typed links. The mere volume of current knowledge bases as well as …
Building spatio-temporal knowledge graphs from vectorized topographic historical maps
Historical maps provide rich information for researchers in many areas, including the social
and natural sciences. These maps contain detailed documentation of a wide variety of …
and natural sciences. These maps contain detailed documentation of a wide variety of …
[PDF][PDF] Big POI data integration with Linked Data technologies.
Point of Interest (POI) data constitute the cornerstone of any application, service or product
even remotely related to our physical surroundings. From navigation applications to social …
even remotely related to our physical surroundings. From navigation applications to social …
Similarity joins and clustering for SPARQL
The SPARQL standard provides operators to retrieve exact matches on data, such as graph
patterns, filters and grou**. This work proposes and evaluates two new algebraic …
patterns, filters and grou**. This work proposes and evaluates two new algebraic …
Worst-Case-Optimal Similarity Joins on Graph Databases
We extend the concept of worst-case optimal equijoins in graph databases to the case
where some nodes are required to be within the k-nearest neighbors (kNN) of others under …
where some nodes are required to be within the k-nearest neighbors (kNN) of others under …
Extending SPARQL with similarity joins
We propose techniques that support the efficient computation of multidimensional similarity
joins in an RDF/SPARQL setting, where similarity in an RDF graph is measured with respect …
joins in an RDF/SPARQL setting, where similarity in an RDF graph is measured with respect …
On the effect of geometries simplification on geo-spatial link discovery
Link discovery is central to the integration and use of data across RDF knowledge bases.
Geospatial information is increasingly represented according to the Linked Data principles …
Geospatial information is increasingly represented according to the Linked Data principles …
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 …
[PDF][PDF] Building Linked Data from Historical Maps.
Historical maps provide a rich source of data for social science researchers since they
contain detailed documentation of a wide variety of factors, such as land-use changes …
contain detailed documentation of a wide variety of factors, such as land-use changes …
TRANSRAZ Data Model: Towards a Geosocial Representation of Historical Cities
Preserving historical city architectures and making them (publicly) available has emerged as
an important field of the cultural heritage and digital humanities research domain. In this …
an important field of the cultural heritage and digital humanities research domain. In this …