ABSTRACT
A key challenge in the emerging Web of Things (WoT) paradigm is how the human users and machines look for meaningful and readable information in huge and dynamic datasets in real-time, whereby the datasets are presented in different formats. This paper presents a technique to construct efficient, hierarchical web indices that are efficiently kept up-to-date. Also, a framework for searching in the WoT, namely WoTSF, is proposed and experimentally evaluated using a prototype. The proposed framework was shown to present a tradeoff between search speed and result accuracy as compared to the Dyser WoT search engine.
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