In the web of things (WOT) paradigm, it is possible for users to have access to a big amount of connected objects to fulfil their requests. However, finding the right object is a difficult task as the search should take into account not only the functionalities of the objects but also their physical localisation and their distance from the user. In this paper, a new approach to build a WOT search engine is introduced. A new semantic similarity is proposed to compare objects in ontology. To answer a user's request, the proposed model recommends objects according to both their geo-localisation and capabilities. Moreover, the search of objects takes into account the user's profile and expectations. The solution we proposed relies on fuzzy rule engines and a formal location model that characterise the search space in which relevant connected objects are selected.