Results 11 to 20 of about 618 (178)
SANOM Results for OAEI 2019 [PDF]
CoRR, 2019 Information and Communication ...
Mohammadi, Majid (author) +3 more
openaire +5 more sources
LPHOM results for OAEI 2016. [PDF]
, 2016 This paper presents the results obtained by LPHOM (Linear Program for Holistic Ontology Matching) system in the OAEI 2016 campaign. This is the first participation of our system in the OAEI campaigns. It has participated in four tracks (Benchmark, Anatomy, Conference, and Multifarm).
Megdiche-Bousarsar, Imen +2 more
core +5 more sources
ASE Results for OAEI 2012 [PDF]
CEUR Workshop Proceedings, 2012 This paper presents ASE (Aligning Smart Entities) tool for the automated alignment of OWL domain ontology definitions in the context of Internet of Things (IoT). The effort is based on experience gained by the development of AUTOMSv2 for OAEI 2012. The development process of this tool has been driven by our motivation to use the ontology alignment ...
Katasonov Artem +2 more
core +3 more sources
Discrete Dynamics in Nature and Society, 2020 Nowadays, most real-world decision problems consist of two or more incommensurable or conflicting objectives to be optimized simultaneously, so-called multiobjective optimization problems (MOPs).
Xingsi Xue, Xiaojing Wu, Junfeng Chen
doaj +2 more sources
AUTOMSv2 Results for OAEI 2012 [PDF]
CEUR Workshop Proceedings, 2012 This paper presents AUTOMSv2 effort towards building a tool for the automated alignment of domain ontologies. The developed tool is a result of our motivation to rebuild AUTOMS tool (presented in OAEI 2006) by putting together a) a well-known, widely used and continuously evolving/maintained alignment framework b) the synthesis of state-of-the-art ...
Katasonov Artem +2 more
core +3 more sources
Automatic background knowledge selection for matching biomedical ontologies. [PDF]
PLoS ONE, 2014 Ontology matching is a growing field of research that is of critical importance for the semantic web initiative. The use of background knowledge for ontology matching is often a key factor for success, particularly in complex and lexically rich domains ...
Daniel Faria +4 more
doaj +2 more sources
Interactive biomedical ontology matching. [PDF]
PLoS ONE, 2019 Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information.
Xingsi Xue, Zhi Hang, Zhengyi Tang
doaj +2 more sources
Ontology Alignment Architecture for Semantic Sensor Web Integration [PDF]
Sensors, 2013 Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc.
Bernardo Alarcos +3 more
doaj +2 more sources
POMap results for OAEI 2017. [PDF]
, 2017 Ontology matching is an effective strategy to find the correspondences among different ontologies in a scalable and heterogeneous semantic web. In order to find these correspondences, a matching system should be built aiming to ensure the interoperability between the aligned entities.
Laadhar, Amir +5 more
core +5 more sources
Automating OAEI campaigns (first report). [PDF]
, 2010 This paper reports the first effort into integrating OAEI and SEALS evaluation campaigns. The SEALS project aims at providing standardized resources (software components, data sets, etc.) for automatically executing evaluations of typical semantic web tools, including ontology matching tools.
Trojahn, Cássia +3 more
openaire +5 more sources