This paper introduces and evaluates a novel Web service interface annotation and matching scheme designed for processing large sets of Web service interface descriptions. The matching scheme relies on a set of rules, which exploit the structural relationships encoded in an automatically learned ontology to discover matching interface elements. The proposed scheme is evaluated on a Web services ...

This paper introduces and evaluates a novel Web service interface annotation and matching scheme designed for processing large sets of Web service interface descriptions. The matching scheme relies on a set of rules, which exploit the structural relationships encoded in an automatically learned ontology to discover matching interface elements. The proposed scheme is evaluated on a Web services ...

The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is how to efficiently accurately perform global (MR-GL). difficulties are two-fold. first the difficulty for significant viewpoint difference. Appearance-based methods tend fail under large changes. Recently, semantic graphs have been utilized overcome variation problem. However, highly time-consuming, especi...

Generic Framework. Ontology matching is the process that takes two or more ontologies to identify semantically corresponding entities across them. As the numbers of developed ontologies as well as the number of entities in each ontology are increasing, traditional approaches to ontology matching fail or are not able to scale. Therefore, there is a growing need for new matching algorithms. A com...

It is challenging for a visual SLAM system to keep long-term precise and robust localization ability in large-scale indoor environment since there low probability of the occurrence loop closure. Aiming solve this problem, we propose monocular algorithm environments through matching prior semantic map. In approach, line features certain objects observed by camera are extracted real time. A cost ...