The Semantic Web - ISWC 2015
14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part II
Chapter and Conference Paper
Tabular data to Knowledge Graph matching is the process of assigning semantic tags from knowledge graphs (e.g., Wikidata or DBpedia) to the elements of a table. This task is a challenging problem for various ...
Chapter and Conference Paper
Linked Data on the web consists of over 1000 datasets from a variety of domains. They are queried with the SPARQL query language. There exist many implementations of SPARQL, and this rich ecosystem has demande...
Chapter and Conference Paper
SPARQL has many nice features for accessing data integrated across different data sources, which is an important step in any data analysis task. We report on the use of SPARQL for two real data analytic use ca...
Book and Conference Proceedings
14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part II
Book and Conference Proceedings
14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I
Chapter and Conference Paper
In graph databases, a given graph query can be executed in a large variety of semantically equivalent ways. Each such execution plan produces the same results, but at different computation costs. The query pla...
Chapter and Conference Paper
In this paper, we describe a mechanism for ontology alignment using instance based matching of types (or classes). Instance-based matching is known to be a useful technique for matching ontologies that have di...
Chapter and Conference Paper
Ontology alignment is an important problem for the linked data web, as more and more ontologies and ontology instances get published for specific domains such as government and healthcare. A number of (semi-)a...
Chapter and Conference Paper
A key problem in ontology alignment is that different ontological features (e.g., lexical, structural or semantic) vary widely in their importance for different ontology comparisons. In this paper, we present a s...
Chapter and Conference Paper
A common vocabulary is vital to smooth business operation, yet codifying and maintaining an enterprise vocabulary is an arduous, manual task. We describe a process to automatically extract a domain specific vo...
Chapter and Conference Paper
Within the health care and life sciences (HCLS) domain, a plethora of phenomena exists that range across the whole “vertical scale” of biomedicine. To accurately research and describe those phenomena, a tremen...
Chapter and Conference Paper
Reasoning on OWL ontologies is known to be intractable in the worst-case, which is a serious problem because in practice, most OWL ontologies have large Aboxes, i.e., numerous assertions about individuals and ...