A survey of current link discovery frameworks
Links build the backbone of the Linked Data Cloud. With the steady growth in size of
datasets comes an increased need for end users to know which frameworks to use for …
datasets comes an increased need for end users to know which frameworks to use for …
Using link features for entity clustering in knowledge graphs
Abstract Knowledge graphs holistically integrate information about entities from multiple
sources. A key step in the construction and maintenance of knowledge graphs is the …
sources. A key step in the construction and maintenance of knowledge graphs is the …
Class expression induction as concept space exploration: From DL-Foil to DL-Focl
Abstract The Web of Data is one of the perspectives of the Semantic Web. In this context,
concept learning services, supported by multirelational machine learning, have been …
concept learning services, supported by multirelational machine learning, have been …
Correcting knowledge base assertions
The usefulness and usability of knowledge bases (KBs) is often limited by quality issues.
One common issue is the presence of erroneous assertions, often caused by lexical or …
One common issue is the presence of erroneous assertions, often caused by lexical or …
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 …
Link maintenance for integrity in linked open data evolution: Literature survey and open challenges
RDF data has been extensively deployed describing various types of resources in a
structured way. Links between data elements described by RDF models stand for the core of …
structured way. Links between data elements described by RDF models stand for the core of …
Holistic entity clustering for linked data
Pairwise link discovery approaches for the Web of Data do not scale to many sources
thereby limiting the potential for data integration. We thus propose a holistic approach for …
thereby limiting the potential for data integration. We thus propose a holistic approach for …
[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 …
Linklion: A link repository for the web of data
Links between knowledge bases build the backbone of the Web of Data. Consequently,
numerous applications have been developed to compute, evaluate and infer links. Still, the …
numerous applications have been developed to compute, evaluate and infer links. Still, the …
Distributed holistic clustering on linked data
Link discovery is an active field of research to support data integration in the Web of Data.
Due to the huge size and number of available data sources, efficient and effective link …
Due to the huge size and number of available data sources, efficient and effective link …