[PDF] Top 20 An effective method of large scale ontology matching

... Regarding the participating systems or configurations in the OAEI campaign, 15 out of 23 and 13 out of 21 were able to cope respectively with at least one of the tasks of the LargeBiomed track matching problems at ... See full document

... The scale space representation of a digital image is a set of images represented at various levels of resolutions ...characteristic scale of a local image structure has been studied in depth by Lindeberg ... See full document

... proposed method is that it only uses about half of the knowledge (categories and articles) in ...a method for aligning WordNet and Wikipedia fully at many levels with both of them retaining a hierarchal ... See full document

... the method trying to provide automatic detection of topics to be summarized that is can determine how many topics should be chosen for automatic ...of ontology based and non ontology based systems ... See full document

... Newton method, which is expensive at each iteration, has very fast convergence ...for large-scale ...BFGS method is the most efficient and effective ... See full document

... that scale well with respect to ontology size, and those where we find big differences in ...the Large BioMed track even highly precise alignment sets may lead to a huge number of unsatisfiable ... See full document

... Abstract—We contribute by developing GeoMatch as a novel, scalable, and efficient big-data pipeline for large-scale map matching on Apache Spark. GeoMatch improves ex- isting spatial big data ... See full document

... described in our study has the following advantage; if the OptoSTA receptive field overlaps with the single labelled cell soma and there are no additional labelled cells nearby, the match between the ... See full document

... from large text document. Ontology is a knowledge repository in which concepts and terms are defined as well as relationships between these ...more effective, efficient and interactive. The current ... See full document

... a method that determines video object contour on the basis of non-sub sampled contourlet transform and gradient information that employed feature vector combined with ...this method is not very ... See full document

... Biological features such as face, fingerprint, palm print and iris are widely used for the identification of a human. Due to low cost acquisition devices and high accuracy, fingerprint recognition is broadly used. ... See full document

... information are incorporated to refine the histogram. The local properties selected for this approach includes size, mean, variance of various clusters of different classes. This method measures the pixel as ... See full document

... direction method (ADMM) is one of the effective algorithms for solving large-scale sparse optimization ...a large number of working signals have pointed to the sparse expression of ... See full document

... Semantic parsing is the task of translating natural language utterances to a formal meaning represen- tation language (Chen et al., 2010; Liang et al., 2009; Clarke et al., 2010; Liang et al., 2011; Artzi and ... See full document

... constructed ontology is interconnected, 194 person categories had no parent or child ...a method for building a Japanese ontology from Wikipedia using Goi-Taikei, as its upper ...This method ... See full document

... of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory ...the ontology was proposed. In ... See full document

... schema matching is the process of extracting correspondences among large-scale web interfaces repository ...schema matching approach lies on its effectiveness of matching results, ... See full document

... Thesauri and ontologies provide impor- tant value in facilitating access to digital archives by representing underlying prin- ciples of organization. Translation of such resources into multiple languages is an important ... See full document

... to large- scale image signal processes, we focus on improving the reconstruction efficiency of the SAMP ...adaptive matching pursuit (FSAMP) algorithm where the number of selected atoms is changed ... See full document

... the ontology alignment, respectively, our approach uses only one ...the ontology matching process to select potential entities to be linked, which are analyzed at the instance level (instance ... See full document