نتایج جستجو برای: large scale matching

تعداد نتایج: 1485875  

2011
Shahab Mokarizadeh Peep Küngas Mihhail Matskin

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 ...

Journal: :Journal of the Korea Institute of Information and Communication Engineering 2015

2011
Shahab Mokarizadeh Peep Küngas Mihhail Matskin

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 ...

Journal: :IEEE robotics and automation letters 2021

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...

2014
Alsayed Algergawy Friederike Klan Birgitta König-Ries

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...

Journal: :Electronics 2022

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 ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید