Inference and Linking on the Humanist’s Semantic Web
Author(s) -
John Simpson
Publication year - 2014
Publication title -
scholarly and research communication
Language(s) - English
Resource type - Journals
ISSN - 1923-0702
DOI - 10.22230/src.2014v5n4a182
Subject(s) - semantic web , computer science , social semantic web , semantic web stack , semantic analytics , world wide web , metadata , linked data , inference , sort , semantic computing , semantic grid , information retrieval , data web , data science , web service , artificial intelligence
The Semantic Web promises that the pools of semantic data it interweaves together will enable people to find information that they could not otherwise find by revealing knowledge not explicitly visible in the distributed source data. In order for this promise to be fulfilled within the humanities, the Semantic Web data being created must have certain features, but what are they? This article provides some background on Semantic Web inferencing and then argues that there are three things that humanists can do to prepare their data to participant in this sort of inference generation: add more data, reciprocate links across repositories, and add metadata specifically to support inferencing .
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