The Web of Data has many equivalent URIs. This service helps you to find co-references between different data sets. The main store includes referents from DBpedia, VIAF, the British Library, and other authoritative sources. There are also links to many smaller sameAs stores that are being populated and used by projects and people. The latter are entirely independent from the main sameAs store, although some of the data may also be reflected in the main sameAs store..
URL: http://sameas.org/
Keywords: Web Ontology Language (OWL), HTTP URIs
Author: Glasser, Hugh
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M
Educational use: instruction
Educational audience: student
Interactivity type: active
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Fundamentals of Linked Data
- Linked Data principles
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Knows the "five stars" of Open Data: put data on the Web, preferably in a structured and preferably non-proprietary format, using URIs to name things, and link to other data.
- Linked Data principles
- Fundamentals of Linked Data
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.
- RDF vocabularies and application profiles
- Mapping RDF vocabularies
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.
- Mapping RDF vocabularies
- RDF vocabularies and application profiles
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Creating and transforming Linked Data
- Mapping and enriching RDF data
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Mapping and enriching RDF data
- Creating and transforming Linked Data