LIMES: A Framework for Link Discovery on the Semantic Web

AC Ngonga Ngomo, MA Sherif, K Georgala… - KI-Künstliche …, 2021 - Springer
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 …

Building spatio-temporal knowledge graphs from vectorized topographic historical maps

B Shbita, CA Knoblock, W Duan, YY Chiang… - Semantic …, 2023 - content.iospress.com
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 …

[PDF][PDF] Big POI data integration with Linked Data technologies.

S Athanasiou, G Giannopoulos, D Graux… - EDBT, 2019 - svn.aksw.org
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 …

Similarity joins and clustering for SPARQL

S Ferrada, B Bustos, A Hogan - Semantic Web, 2024 - journals.sagepub.com
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 …

Worst-Case-Optimal Similarity Joins on Graph Databases

D Arroyuelo, B Bustos, A Gómez-Brandón… - Proceedings of the …, 2024 - dl.acm.org
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 …

Extending SPARQL with similarity joins

S Ferrada, B Bustos, A Hogan - International Semantic Web Conference, 2020 - Springer
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 …

On the effect of geometries simplification on geo-spatial link discovery

AF Ahmed, MA Sherif, ACN Ngomo - Procedia Computer Science, 2018 - Elsevier
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 …

Recommending geo-semantically related classes for link discovery

V Kopsachilis, M Vaitis, N Mamoulis… - Journal on Data …, 2020 - Springer
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 …

[PDF][PDF] Building Linked Data from Historical Maps.

C Lin, H Su, CA Knoblock, YY Chiang, W Duan… - SemSci …, 2018 - usc-isi-i2.github.io
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 …

TRANSRAZ Data Model: Towards a Geosocial Representation of Historical Cities

O Bruns, T Tietz, S Göller, H Sack - … Graphs: Semantics, Machine …, 2023 - ebooks.iospress.nl
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 …