Results 41 to 50 of about 618 (178)
Matching Sensor Ontologies with Simulated Annealing Particle Swarm Optimization
Mobile Information Systems, Volume 2021, Issue 1, 2021., 2021 In recent years, innovative positioning and mobile communication techniques have been developing to achieve Location‐Based Services (LBSs). With the help of sensors, LBS is able to detect and sense the information from the outside world to provide location‐related services.
Hai Zhu +4 more
wiley +1 more source
Multiobjective Sensor Ontology Matching Technique with User Preference Metrics
Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021 Due to the problem of data heterogeneity in the semantic sensor networks, the communications among different sensor network applications are seriously hampered. Although sensor ontology is regarded as the state‐of‐the‐art knowledge model for exchanging sensor information, there also exists the heterogeneity problem between different sensor ontologies ...
Hai Zhu +4 more
wiley +1 more source
ALOD2Vec matcher results for OAEI 2021. [PDF]
, 2022 This paper presents the results of the ALOD2vec Matcher in the Ontology Alignment Evaluation Initiative (OAEI) 2021. The matching system exploits a Web-scale dataset, i.e. WebIsALOD, as background knowledge source.
Portisch, Jan, Paulheim, Heiko
openaire +3 more sources
Integrating Sensor Ontologies with Global and Local Alignment Extractions
Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021 In order to enhance the communication between sensor networks in the Internet of things (IoT), it is indispensable to establish the semantic connections between sensor ontologies in this field. For this purpose, this paper proposes an up‐and‐coming sensor ontology integrating technique, which uses debate mechanism (DM) to extract the sensor ontology ...
Xingsi Xue +5 more
wiley +1 more source
Dealing with uncertain entities in ontology alignment using rough sets [PDF]
, 2012 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted.
Li, M +3 more
core +1 more source
A Process Model Collection and Gold Standard Correspondences for Process Model Matching
IEEE Access, 2019 Business process models are the conceptual models to depict the workflow of an organization. Process model matching (PMM) refers to the automatic identification of corresponding activities between a pair of process models that show similar or the same ...
Khurram Shahzad +6 more
doaj +1 more source
Matching biomedical ontologies through compact differential evolution algorithm
Systems Science & Control Engineering, 2019 Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
doaj +1 more source
DAEOM: A Deep Attentional Embedding Approach for Biomedical Ontology Matching
Applied Sciences, 2020 Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability.
Jifang Wu +3 more
doaj +1 more source
ALOD2Vec matcher results for OAEI 2020. [PDF]
, 2020 This paper presents the results of the ALOD2Vec Matcher in the Ontology Alignment Evaluation Initiative(OAEI) 2020. The matching system exploits a Web-scale dataset, i.e.WebIsALOD, as background knowledge source.
Portisch, Jan +2 more
openaire +3 more sources
An Iterative Automatic Final Alignment Method in the Ontology Matching System
Journal of Information and Organizational Sciences, 2018 Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to determine correspondences between ontologies, a set of matchers can be used.
Marko Gulić +2 more
doaj +1 more source