Accurate Identification of Ontology Alignments at Different Granularity Levels
IEEE Access, 2017 As more and more ontologies are defined with different terms, ontology matching plays a crucial role in addressing the semantic heterogeneity problem in many different disciplines.
Xiaocao Hu +5 more
doaj +1 more source
Multimatcher Model to Enhance Ontology Matching Using Background Knowledge
Information, 2021 Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching.
Sohaib Al-Yadumi +4 more
doaj +1 more source
Generation and matching of ontology data for the semantic web in a peer-to-peer framework [PDF]
, 2007 The abundance of ontology data is very crucial to the emerging semantic web. This paper proposes a framework that supports the generation of ontology data in a peer-to-peer environment.
A. Doan +11 more
core +1 more source
Complex Ontology Matching Based on Path Feature [PDF]
Jisuanji gongcheng, 2017 The complex ontology matching methods are mainly classified into correspondence pattern based methods and machine learning based ones.The former are heuristic ones that are designed with some knowledge about the ontologies to be aligned and the latter ...
WANG Hanbo,SUN Qilin
doaj +1 more source
Integration of ontology data through learning instance matching [PDF]
, 2006 Information integration with the aid of ontology can roughly be divided into two levels: schema level and data level. Most research has been focused on the schema level, i.e., mapping/matching concepts and properties in different ontologies with each ...
Lu, J, Wang, C, Zhang, G
core +1 more source
Ontology Matching with Knowledge Rules
, 2015 Ontology matching is the process of automatically determining the semantic equivalences between the concepts of two ontologies. Most ontology matching algorithms are based on two types of strategies: terminology-based strategies, which align concepts ...
Dou, Dejing +2 more
core +1 more source
Optimizing Sensor Ontology Alignment through Compact co-Firefly Algorithm
Sensors, 2020 Semantic Sensor Web (SSW) links the semantic web technique with the sensor network, which utilizes sensor ontology to describe sensor information. Annotating sensor data with different sensor ontologies can be of help to implement different sensor ...
Xingsi Xue, Junfeng Chen
doaj +1 more source
Ontology-based data semantic management and application in IoT- and cloud-enabled smart homes [PDF]
, 2017 The application of emerging technologies of Internet of Things (IoT) and cloud computing have increasing the popularity of smart homes, along with which, large volumes of heterogeneous data have been generating by home entities.
DONG Mianxiong, OTA Kaoru, TAO Ming
core +2 more sources
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
CroMatcher 2.0: A Comprehensive Analysis of the Improved Ontology Matching System
IEEE AccessOne of the main challenges in ontology matching is to match ontologies with high accuracy. Therefore, ontology matching systems typically use multiple basic matchers, each targeting a specific ontology component for the matching process.
Marko Gulic +2 more
doaj +1 more source