Results 61 to 70 of about 1,038,617 (321)
Identifying relationships between hitherto unrelated entities in different ontologies is the key task of ontology alignment. An alignment is either manually created by domain experts or automatically by an alignment system.
Beisswanger Elena, Hahn Udo
doaj +1 more source
Ontology Matching with Knowledge Rules
Ontology matching is the process of automatically determining the semantic equivalences between the concepts of two ontologies. Most ontology matching algorithms are based on two types of strategies: terminology-based strategies, which align concepts ...
Dou, Dejing +2 more
core +1 more source
Algebras of Ontology Alignment Relations [PDF]
Correspondences in ontology alignments relate two ontology entities with a relation. Typical relations are equivalence or subsumption. However, different systems may need different kinds of relations. We propose to use the concepts of algebra of relations in order to express the relations between ontology entities in a general way. We show the benefits
openaire +1 more source
ATF4‐mediated stress response as a therapeutic vulnerability in chordoma
We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone +11 more
wiley +1 more source
Automated Annotation-Based Bio-Ontology Alignment with Structural Validation [PDF]
We outline the structure of an automated process to both align multiple bio-ontologies in terms of their genomic co-annotations, and then to measure the structural quality of that alignment.
Amanda White +9 more
core +2 more sources
User Validation in Ontology Alignment
User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of automated alignment algorithms. In this paper we present a broad study on user validation of ontology alignments that encompasses three distinct but interrelated aspects: the profile of the user, the services of the alignment system ...
Dragisic, Zlatan +5 more
openaire +3 more sources
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Multimatcher Model to Enhance Ontology Matching Using Background Knowledge
Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching.
Sohaib Al-Yadumi +4 more
doaj +1 more source
Ontological quality control in large-scale, applied ontology matching [PDF]
To date, large-scale applied ontology mapping has relied greatly on label matching and other relatively simple syntactic features. In search of more holistic and accurate alignment, we offer a suite of partially overlapping ontology mapping heuristics ...
Legg, Catherine, Sarjant, Samuel
core +2 more sources
Data Linking with Ontology Alignment [PDF]
It is a trend to publish RDF data on the web, so that users can share information semantically. Then, linking isolated data sets together is highly needed. I would like to reduce the comparison scale by isolating the types of resources to be compared, so that it enhances the accuracy of the linking process.
openaire +2 more sources

