Linked Open Ontology Cloud KOKO—Managing a System of Cross-Domain Lightweight Ontologies

Frosterus, Matias; Tuominen, Jouni; Pessala, Sini; Seppälä, Katri; Hyvönen, Eero

doi:10.1007/978-3-642-41242-4_49

Cited by 2 publications

(1 citation statement)

References 2 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, the service would have to support at least Finland's two official languages of Finnish and Swedish. Second, it should allow for picking keywords from any of the many general keyword vocabularies [3] used in Finland, as well as the larger national person, place and event instance registries currently being created.…”

Section: Introductionmentioning

confidence: 99%

Combining a REST Lexical Analysis Web Service with SPARQL for Mashup Semantic Annotation from Text

Mäkelä

2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Current automatic annotation systems are often monolithic, holding internal copies of both machine-learned annotation models and the reference vocabularies they use. This is problematic particularly for frequently changing references such as person and place registries, as the information in the copy quickly grows stale. In this paper, arguments and experiments are presented on the notion that sufficient accuracy and recall can both be obtained simply by combining a sufficiently capable lexical analysis web service with querying a primary SPARQL store, even in the case of often problematic highly inflected languages.

show abstract

Section: Introductionmentioning

confidence: 99%

Combining a REST Lexical Analysis Web Service with SPARQL for Mashup Semantic Annotation from Text

Mäkelä

2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

Linked Vocabularies for Mobility and Transport Research

Arndt

Runnwerth

2021

Metadata and Semantic Research

View full text Add to dashboard Cite

The paper describes the creation of a vocabulary for a domain-specific information service platform ( SIS move ) by vocabulary re-use and linking. Source vocabularies differ with respect to several factors (domain-specificity, accessibility, data model). We address why vocabularies should be considered for a domain-specific vocabulary and how they are brought under a common modelling paradigm with standards for knowledge organization systems and alignment of schemata. We also discuss the creation and validation of alignments. Eventually, we give an outlook on the vocabulary’s further evolution and application.

show abstract

Linked Open Ontology Cloud KOKO—Managing a System of Cross-Domain Lightweight Ontologies

Cited by 2 publications

References 2 publications

Combining a REST Lexical Analysis Web Service with SPARQL for Mashup Semantic Annotation from Text

Combining a REST Lexical Analysis Web Service with SPARQL for Mashup Semantic Annotation from Text

Linked Vocabularies for Mobility and Transport Research

Contact Info

Product

Resources

About