Heterogeneity Management Using OAEI Benchmark Dataset
نویسندگان
چکیده
منابع مشابه
Arabian Horse Identification Benchmark Dataset
The lack of a standard muzzle print database is a challenge for conducting researches in Arabian horse identification systems. Therefore, collecting a muzzle print images database is a crucial decision. The dataset presented in this paper is an option for the studies that need a dataset for testing and comparing the algorithms under development for Arabian horse identification. Our collected da...
متن کاملConference v2.0: An Uncertain Version of the OAEI Conference Benchmark
The Ontology Alignment Evaluation Initiative is a set of benchmarks for evaluating the performance of ontology alignment systems. In this paper we re-examine the Conference track of the OAEI, with a focus on the degree of agreement between the reference alignments within this track and the opinion of experts. We propose a new version of this benchmark that more closely corresponds to expert opi...
متن کاملMIPS bacterial genomes functional annotation benchmark dataset
MOTIVATION Any development of new methods for automatic functional annotation of proteins according to their sequences requires high-quality data (as benchmark) as well as tedious preparatory work to generate sequence parameters required as input data for the machine learning methods. Different program settings and incompatible protocols make a comparison of the analyzed methods difficult. RE...
متن کاملSystem for Parallel Heterogeneity Resolution (SPHeRe) results for OAEI 2013
SPHeRe is an ontology matching system that utilizes cloud infrastructure for matching large scale ontologies and focus on alignment representation to be stored in the Mediation Bridge Ontology (MBO). MBO is the mediation ontology that stores all the alignments generated between the matched ontologies and represents it in a manner that provides maximum metadata information. SPHeRe is a new initi...
متن کاملHeterogeneous Dataset Acquisition for a Continuously Expandable Benchmark (CEB)
Ongoing research within the field of computer vision yielded a wide range of image based 3D reconstruction approaches. Starting years ago with low resolution RGB images as input, we face today a wide and fast growing range of available imaging devices to perform this task. To allow for a good comparability of resulting reconstructions, many different benchmarks and datasets have been made avail...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i3.12.16163