Loop closure can effectively correct the accumulated error in robot localization, which plays a critical role long-term navigation of robot. Traditional appearance-based methods rely on local features and are prone to failure ambiguous environments. On other hand, object recognition infer objects' category, pose, extent. These objects serve as stable semantic landmarks for viewpoint-independent...

This paper proposes a Semantic Web Service Discovery framework for finding Semantic Web services by making use of natural language processing techniques. The framework allows searching through a set of semantic Web services in order to find a match with a user query consisting of keywords. By specifying the search goal using keywords, end-users do not need to have knowledge about semantic langu...

Address matching, which aims to match an input descriptive address with a standard in database, is key technology for achieving data spatialization. The construction of today’s smart cities depends heavily on the precise matching Chinese addresses. Existing methods that rely rules or text similarity struggle when dealing nonstandard data. Deep-learning-based often require extracting semantics e...

We describe decision procedures for certain classes of semantic matching problems, where the equational theory with respect to which the semantic matching is performed has a convergent rewrite system. We give counterexamples to show that semantic matching becomes undecidable (as it generally is) when the conditions we give are weakened.

Semantic search becomes a research hotspot. The combined use of linguistic ontologies and structured semantic matching is one of the promising ways to improve both recall and precision. In this paper, we propose an approach for semantic search by matching conceptual graphs. The detailed definitions of semantic similarities between concepts, relations and conceptual graphs are given. According t...

Naming pictures and matching words to pictures belonging to the same semantic category impairs performance relative to when stimuli come from different semantic categories (i.e., semantic interference). Despite similar semantic interference phenomena in both picture naming and word-picture matching tasks, the locus of interference has been attributed to different levels of the language system -...

The need for efficient methods for archiving and retrieving personal digital photo collections arises due to a significant increase in the number of digital images and videos that people have to manage. We propose a semantic face matching approach for managing consumer photographs based on semantic face attributes. These attributes are organized as a semantic face graph (derived from a 3D gener...

Previous research has shown that word-to-picture matching for targets that cannot be named at pre-test results in improved naming relative to untreated control items for people with aphasia. This paper replicates and extends this finding and investigates its source. Is the effect a result of priming of semantic representations, or of post-semantic mechanisms in word retrieval? The first experim...