Results 41 to 50 of about 814 (138)
Shiva: A Framework for Graph Based Ontology Matching [PDF]
, 2014 Since long, corporations are looking for knowledge sources which can provide structured description of data and can focus on meaning and shared understanding.
Darbari, Hemant +3 more
core +1 more source
Instance-Based Ontology Matching For Open and Distance Learning Materials
International Review of Research in Open and Distributed Learning, 2017 The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content.
Sergio Cerón-Figueroa +5 more
doaj +1 more source
Complex & Intelligent Systems, 2022 Sensor ontology is a standard conceptual model that describes information of sensor device, which includes the concepts of various sensor modules and the relationships between them.
Aifeng Geng, Qing Lv
doaj +1 more source
Sensor Ontology Metamatching with Heterogeneity Measures
Wireless Communications and Mobile Computing, Volume 2020, Issue 1, 2020., 2020 The heterogeneity problem among different sensor ontologies hinders the interaction of information. Ontology matching is an effective method to address this problem by determining the heterogeneous concept pairs. In the matching process, the similarity measure serves as the kernel technique, which calculates the similarity value of two concepts.
Xingsi Xue +4 more
wiley +1 more source
Interactive Cross-Lingual Ontology Matching
IEEE Access, 2019 Recently, with the growing number of ontologies defined in different languages, to bridge the semantic gaps between them, it is necessary to identify the correspondences between their heterogeneous entities, so-called cross-lingual ontology matching. Due
Junfeng Chen +3 more
doaj +1 more source
Semantic Integration of Sensor Knowledge on Artificial Internet of Things
Wireless Communications and Mobile Computing, Volume 2020, Issue 1, 2020., 2020 Artificial Internet of Things (AIoT) integrates Artificial Intelligence (AI) with the Internet of Things (IoT) to create the sensor network that can communicate and process data. To implement the communications and co‐operations among intelligent systems on AIoT, it is necessary to annotate sensor data with the semantic meanings to overcome ...
Yikun Huang +3 more
wiley +1 more source
SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases [PDF]
, 2012 The Internet has enabled the creation of a growing number of large-scale knowledge bases in a variety of domains containing complementary information. Tools for automatically aligning these knowledge bases would make it possible to unify many sources of ...
, +6 more
core +9 more sources
Automatizing the Evaluation of Model Matching Systems [PDF]
, 2010 International audienceModel-Driven Engineering (MDE) and the Semantic Web are valuable paradigms. This paper sketches how to use a scientific and technical result around MDE in the Semantic Web.
Garcés, Kelly +2 more
core +4 more sources
Bayesian Evaluation and Comparison of Ontology Alignment Systems
IEEE Access, 2019 Ontology alignment systems are evaluated by various performance scores, which are usually computed by a ratio related directly to the frequency of the true positives.
Majid Mohammadi
doaj +1 more source
Ontology matching: state of the art and future challenges [PDF]
, 2013 shvaiko2013aInternational audienceAfter years of research on ontology matching, it is reasonable to consider several questions: is the field of ontology matching still making progress?
Euzenat, Jérôme, Shvaiko, Pavel
core +3 more sources