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An Instance-based Learning Approach for Ontology Matching

Pedro H. R. de Assis, Alberto H. F. Laender
2012 Brazilian Symposium on Databases  
This paper proposes an instance-based learning approach for the ontology matching problem.  ...  This approach is applicable to scenarios where instances of the ontologies to be matched are exchanged between sources.  ...  CONCLUSION In this paper we proposed an instance-based learning approach for the problem of ontology matching.  ... 
dblp:conf/sbbd/AssisL12 fatcat:upphqbfdhvhg7ab7ly4dmxzgny

Explicit Link Discovery Scheme Optimized with Ontology Mapping using Improved Machine Learning Approach

Sengodan MANI, Samukutty ANNADURAI
2021 Studies in Informatics and Control  
The paper also includes two machine learning approaches, the first being lexical-based similarity matching using the Threshold-based Support Vector Machine (TSVM), whih is performed with restricted clustering  ...  The proposed model includes the entity behaviour and structural information of the ontology classes for the similarity matching process.  ...  The scaling entities are used to perform large-scale datasets using an instance-based matching approach (Zhang & Haglin, 2016) .  ... 
doi:10.24846/v30i1y202106 fatcat:6btp2dhhjvbqpgnorfptr7s4ei

Towards Rule Learning Approaches to Instance-based Ontology Matching

Frederik Janssen, Faraz Fallahi, Jan Noessner, Heiko Paulheim
2012 Extended Semantic Web Conference  
This position paper discusses approaches and challenges for using those instances as input for machine learning algorithms, with a focus on rule learning algorithms, as a means for ontology matching.  ...  Ontology matching approaches have mostly worked on the schema level so far.  ...  In this paper, we discuss two possible approaches for employing machine learning for instance-based ontology matching. The basic idea of both of them is to use rule learning to solve this problem.  ... 
dblp:conf/esws/JanssenFNP12 fatcat:mftaf3zmfzf57dn77bihykmdxm

A Semi-supervised Learning Approach for Ontology Matching [chapter]

Zhichun Wang
2014 Communications in Computer and Information Science  
In this paper, we propose a semi-supervised learning approach for ontology matching.  ...  Recently, several supervised learning approaches for ontology matching have been proposed, which outperform traditional unsupervised approaches.  ...  In this paper, we propose a semi-supervised learning approach for ontology matching.  ... 
doi:10.1007/978-3-662-45495-4_2 fatcat:meip466qkbd6hi4cxsxh5k46xu

Applying of Machine Learning Techniques to Combine String-based, Language-based and Structure-based Similarity Measures for Ontology Matching

Lev Bulygin, Sergey A. Stupnikov
2019 International Conference on Data Analytics and Management in Data Intensive Domains  
An approach to combine string-based, language-based and structurebased similarity measures with machine learning techniques is proposed.  ...  This paper applies machine learning with different similarity measures between ontology elements as features for ontology matching.  ...  The research is financially supported by Russian Foundation for Basic Research, projects 18-07-01434, 18-29-22096.  ... 
dblp:conf/rcdl/BulyginS19 fatcat:xikrzyejq5gnplo4hdc443qqpe

Learning Complex Mappings between Ontologies [chapter]

Wei Hu, Jianfeng Chen, Hang Zhang, Yuzhong Qu
2012 Lecture Notes in Computer Science  
In this paper, we introduce a new approach for constructing complex mappings between ontologies by transforming it to a rule learning process.  ...  Derived from the classical Inductive Logic Programming, our approach uses instance mappings as training data and employs tailoring heuristics to improve the learning efficiency.  ...  In general, the algorithm contains three phases: -Instance matching phase matches instances, which are then used as correspondences between ontologies for finding and validating complex mappings.  ... 
doi:10.1007/978-3-642-29923-0_24 fatcat:27urhkiybzct5myvrazqd3k724

Knowledge Sharing and Reuse in Digital Forensics

Jingshan Huang, Alec Yasinsac, Patrick J. Hayes
2010 2010 Fifth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering  
We offer a framework for facilitating examination and synthesis of this mountain of data using ontology matching and machine learning technology.  ...  Related Work in Ontology Matching According to the classification in [8] , most schema-matching techniques [9] can be divided into two categories: rule-based approaches and learning-based approaches  ...  To the best of our knowledge, this is the first learning-based ontology-matching algorithm that does not rely on instance data.  ... 
doi:10.1109/sadfe.2010.18 dblp:conf/sadfe/HuangYH10 fatcat:6xfbcbo32zexljnmj5rddvg6mi

Ontology and Instance Matching [chapter]

Silvana Castano, Alfio Ferrara, Stefano Montanelli, Gaia Varese
2011 Lecture Notes in Computer Science  
After an introductory classification of the main techniques and tools for ontology matching, the chapter focuses on instance matching by providing an accurate classification of the matching techniques  ...  Ontology and instance matching solutions developed in the BOEMIE project for multimedia resource management and ontology evolution are finally presented.  ...  We refer to the use of an URI-based mechanism for univocally identifying an ontology instance.  ... 
doi:10.1007/978-3-642-20795-2_7 fatcat:5nn76njdknhw3kakv5dhb4qz4y

Generating and Integrating Evidence for Ontology Mappings [chapter]

Ludger van Elst, Malte Kiesel
2004 Lecture Notes in Computer Science  
Therefore, ontology matching and mapping procedures play an essential role in more open information landscapes.  ...  For more than a decade, ontologies have been proposed as a means to enable sharing and reuse of knowledge.  ...  We thank brainbot technology AG for providing us with the NextBot engine and Björn Endres for implementing the JAVA API for the engine.  ... 
doi:10.1007/978-3-540-30202-5_2 fatcat:6raoxiddfvcsxk5f54kmamja5q

An ontology merging tool to facilitate interoperability between coastalsensor networks

Shruthi Bheemireddy, Surya S. Durbha, Roger L. King, Santhosh K. Amanchi, Nicolas H. Younan
2009 2009 IEEE International Geoscience and Remote Sensing Symposium  
In this paper we present a new instance-based approach combined with string distance metrics for solving ontology mapping problem that employs machine learning techniques to find such mappings.  ...  The available methodological approaches included machine learning techniques, graph based methods, reasoning methods, heuristic and rule based methods etc.  ...  In this paper we present a new instance-based approach combined with string distance metrics for solving ontology mapping problem that employs machine learning techniques to find such mappings.  ... 
doi:10.1109/igarss.2009.5417656 dblp:conf/igarss/BheemireddyDKAY09 fatcat:ama2s3jaljepxitfl7kylz6zoy

A Personalized Ontology Model For Web Mining Using Instance Matching

Madhuri S. Pawar
2016 International Journal Of Engineering And Computer Science  
Ontology contains lots of instances. Automatically instance matching has become the fundamental issue. Instance matching approach is used to present based on discriminative property value.  ...  For representing user profiles many existing models have been provided knowledge from either global or local knowledge base.  ...  Instance Matching process Approach is based on the instance properties classification.  ... 
doi:10.18535/ijecs/v5i7.24 fatcat:6ccquuwnozcmtjs6in6vrtvila

Knowledge discovery through ontology matching: An approach based on an Artificial Neural Network model

M. Rubiolo, M.L. Caliusco, G. Stegmayer, M. Coronel, M. Gareli Fabrizi
2012 Information Sciences  
This work makes a contribution by presenting an ANN-based ontology matching model for knowledge source discovery on the Semantic Web.  ...  This approach combines agentbased technologies with a machine-learning classifier (in particular an Artificial Neural Network (ANN) model) used for defining the matching operation between ontologies, and  ...  In [25] an ANN model learns and adjusts those weights in order to avoid some of the disadvantages of both rule-based and learning-based ontology matching approaches, which ignore the information that  ... 
doi:10.1016/j.ins.2011.08.008 fatcat:bzlrqiouvvbanl5jcphcnylnta

ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation

Chuncheng Xiang, Tingsong Jiang, Baobao Chang, Zhifang Sui
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
We propose in this paper an ontology matching approach, named ERSOM, which mainly includes an unsupervised representation learning method based on the deep neural networks to learn the general representation  ...  . 1 The OAEI is an international initiative organizing annual campaigns for evaluating ontology matching systems.  ...  We propose in this paper an ontology matching approach, named ERSOM, which mainly includes an unsupervised representation learning method based on the deep neural networks to learn the general representation  ... 
doi:10.18653/v1/d15-1289 dblp:conf/emnlp/XiangJCS15 fatcat:2adcynkzrjbj5puxhoyd5omfba

Constructing ontology for customer information in consumer support systems

Jyhjong Lin, Changling Hsu, Jenperng Yu, Tsairyuan Chang, Yi-Chen Chung
2010 2010 2nd IEEE International Conference on Information Management and Engineering  
For this need and as a pristine way for knowledge-sharing by ontology, we present in this paper a method for the construction of an ontology that describes customer information with an easy understood  ...  is therefore necessary for its easy sharing or co-learning among these customers.  ...  For this need, we present in this paper a method for the construction of an ontology that describes customer information with an easy understood structure.  ... 
doi:10.1109/icime.2010.5477723 fatcat:tl2izogvszgrnnjr6yissslt3e

A survey on ontology mapping

Namyoun Choi, Il-Yeol Song, Hyoil Han
2006 SIGMOD record  
Ontology mapping is required for combining distributed and heterogeneous ontologies. Developing such ontology mapping has been a core issue of recent ontology research.  ...  This paper presents ontology mapping categories, describes the characteristics of each category, compares these characteristics, and surveys tools, systems, and related work based on each category of ontology  ...  Multi-strategy Learning approach : (machine Learning technique) Logical deduction Multi-strategy learning approach : (machine learning technique) Semantic bridge Lexical similarity  ... 
doi:10.1145/1168092.1168097 fatcat:we52fyqq2jbgtkfwzo3ybkaoeu
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