Unlike vanilla XML, RDF vocabularies can be freely mixed together in data without prior agreement. So you often see ad-hoc combinations of Dublin Core, RSS1, MusicBrainz, RDF-calendar, FOAF, Wordnet, thesaurus, Geo-info etc etc frequently deployed togethe
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the creation of semantic meta-data in the publication workflow, or by the develop
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the creation of semantic meta-data in the publication workflow, or by the develop
WordNet® is an on-line lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical
WordNet® is an on-line lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical
xmlns.com is an internet domain created for the purposes of simple Web namespace management. The rationale for registering xmlns.com was to secure a short, memorable domain suitable for naming concepts for use in RDF and XML vocabularies.
xmlns.com is an internet domain created for the purposes of simple Web namespace management. The rationale for registering xmlns.com was to secure a short, memorable domain suitable for naming concepts for use in RDF and XML vocabularies.
A. P, V. Hariharan, R. Lavanya, and R. Prianka. International Journal of Innovative Science and Modern Engineering (IJISME), 3 (1):
16-18(December 2014)
J. Shen, W. Qiu, J. Shang, M. Vanni, X. Ren, and J. Han. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 8292--8307. Online, Association for Computational Linguistics, (November 2020)
M. Wang, and Y. Wang. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 6229--6240. Online, Association for Computational Linguistics, (November 2020)