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Learning to match ontologies on the Semantic Web

AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedro Domingos, Alon Halevy
2003 The VLDB journal  
Hence, the development of tools to assist in the ontology mapping process is crucial to the success of the Semantic Web.  ...  On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings between them.  ...  Overview of Our Solution In response to the challenge of ontology matching on the Semantic Web, we have developed the GLUE system, which applies machine learning techniques to semi-automatically create  ... 
doi:10.1007/s00778-003-0104-2 fatcat:wn2zdc2msnfg5b66ki2pdzgb2y

Ontology Based Dynamic e-Learning Flow Composition of Learning Web Services

M. Farida Begam, Gopinath Ganapathy
2014 Research Journal of Applied Sciences Engineering and Technology  
We suggested non logic based hybrid matching and composing algorithms which uses OWL-S profile and process ontologies for dynamic workflow composition of e-learning web services.  ...  Workflow is a sequence of business tasks to be realized for the execution of user' request.  ...  E-learning is not an exception. Semantic web services present one more layer above existing web and allow the users to interact with the web in meaningful way.  ... 
doi:10.19026/rjaset.7.858 fatcat:waqwt5nxkfgvtnzzij34gectgq

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

Sengodan MANI, Samukutty ANNADURAI
2021 Studies in Informatics and Control  
The semantic web allows information to be interpreted more meaningfully, providing a description of its contents and services in a machine-readable form called the web of data, which is typically structured  ...  The second is instance-based similarity matching using the Semantically enhanced Nearest Neighbour method (SeNN), which is employed in order to compare and quantify the semantic enhanced nearest neighbour  ...  Further, various machine learning techniques are employed to perform ontology matching based on the applications of web of data (Zhang & Lee, 2004) .  ... 
doi:10.24846/v30i1y202106 fatcat:6btp2dhhjvbqpgnorfptr7s4ei

Relation Discovery from the Semantic Web

Marta Sabou, Mathieu d'Aquin, Enrico Motta
2008 International Semantic Web Conference  
Several Semantic Web specific tasks such as ontology learning/extension or ontology matching rely on identifying relations between two given concepts.  ...  Scarlet 1 is a technique for discovering relations between two given concepts by exploring ontologies available on the Semantic Web as a source of background knowledge.  ...  Acknowledgements This work was funded by the EC IST-FF6-027595 NeOn project. We thank Laurian Gridinoc for his help with the development of Scarlet's Web interface.  ... 
dblp:conf/semweb/SaboudM08 fatcat:7ce3bywrdvbofolufdudjswr2y

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.  ...  For that reason, ontology-matching is necessary to solve the problem. Ontology-matching techniques, essentially, identify semantic affinity between concepts belonging to different ontologies.  ...  Related Work In response to the challenge of ontology-matching on the Semantic Web, and in other application contexts, several proposals have appeared lately, which apply machine learning techniques to  ... 
doi:10.1016/j.ins.2011.08.008 fatcat:bzlrqiouvvbanl5jcphcnylnta

Ontology Matching Algorithms: Comparative Analysis

2014 The International Conference on Electrical Engineering  
The recent growing of the Semantic Web requires the need to cope with highly semantic heterogeneities among available ontologies .  ...  Ontology matching techniques aim to tackle heterogeneity by establishing correspondences between ontologies' elements.  ...  Ontology Matching Using an Artificial Neural Network to learn Weights Ontologies form a semantic foundation for many domains, such as Web services, Ecommerce, and the Semantic Web, where applications can  ... 
doi:10.21608/iceeng.2014.30390 fatcat:62m4nxdukfawpfv6yyq5zvynpi

(Semantic web) services for e-learning

David E. Millard, Karl Doody, Hugh C. Davis, Lester Gilbert, Yvonne Howard, Feng (Barry) Tao, Gary Wills
2008 International Journal of Knowledge and Learning  
In this paper, we argue that these efforts could benefit if they also drew on Semantic Web technologies to create (Semantic Web) Servicesservices that use resources described on the semantic web.  ...  We show how the use of Semantic Web technologies not only promotes high-quality and interoperable metadata, but that it also enables reasoning rules to be declared that make developing new services easier  ...  Based on these ontologies and the annotated resources we were able to design a number of services that demonstrated how such semantically rich resources might be used by e-learning Web Services.  ... 
doi:10.1504/ijkl.2008.020670 fatcat:l2rwvsjlubfvpnzzzkvtbhb6jm

Semantic matching of ontologies

Christoph Quix, Marko Pascan, Pratanu Roy, David Kensche
2010 International Semantic Web Conference  
Acknowledgments: This work is supported by the Umbrella Cooperation Programme (  ...  Using Machine Learning for Semantic Matching Our second, complementary method uses machine learning to identify semantic relationships.  ...  The second approach builds on existing machine learning methods for identifying semantic relationships.  ... 
dblp:conf/semweb/QuixPRK10 fatcat:utvzagzs3fhn5i4w4y4talfb2i

METEOR-S Web Service Annotation Framework with Machine Learning Classification [chapter]

Nicole Oldham, Christopher Thomas, Amit Sheth, Kunal Verma
2005 Lecture Notes in Computer Science  
Most approaches have suggested using ontologies to either describe the Web services or to annotate syntactical descriptions of Web services.  ...  Our preliminary investigation indicates that, by replacing the schema matching technique currently used for the categorization with a Naïve Bayesian Classifier, we can match web services with ontologies  ...  Classification Accuracy Due to the fact that the machine learning approach does not rely on an extensive ontology to match to, the accuracy is generally better than the accuracy of classification in MWSAF  ... 
doi:10.1007/978-3-540-30581-1_12 fatcat:xga3ey4q6jbypgp3vshhcsfwd4

A Framework for Semi-automated Web Service Composition in Semantic Web [article]

Debajyoti Mukhopadhyay, Archana Chougule
2013 arXiv   pre-print
Various approaches to carry out automated composition of web services are discussed in literature. Web service composition using ontologies is one of the effective approaches.  ...  In many cases, one service is not enough to complete the business requirement; composition of web services is carried out.  ...  Heuristic knowledge of knowledge base and the semantic information of ontology base of bionic manufacturing are used for service matching and semantic reasoning.  ... 
arXiv:1311.6709v1 fatcat:xsmkcy4dg5gjnptawekdfgwzyq

Evaluation of a Semi-automated Semantic Annotation Approach for Bootstrapping the Analysis of Large-Scale Web Service Networks

Shahab Mokarizadeh, Peep Kungas, Mihhail Matskin
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
Such methods include discovery, match-making, composition and execution of Web services in dynamic settings, just to mention few.  ...  The evaluation framework is based on analyzing network properties, namely scale-free and smallworld properties, of Web service networks, which in turn have been constructed from semantic annotations of  ...  ACKNOWLEDGMENT This research is partly funded by ERDF via the Software Technology and Applications Competence Centre (STACC) and ESF via the DoRa program  ... 
doi:10.1109/wi-iat.2011.237 dblp:conf/webi/MokarizadehKM11 fatcat:sxgjfqcyo5bohm57hadoticiay

An Ontology for Semantic Web Services [chapter]

Qizhi Qiu, Qianxing Xiong
2007 Lecture Notes in Computer Science  
An ontology for Semantic Web Services is proposed in this paper, whose intention is to enrich Web Services description.  ...  Based on the Service Oriented Architecture, the proposed ontology is helpful for requesters to find their suitable services according to their own preference.  ...  One of the paper's intentions is to enhance the semantic capabilities of UDDI by using tModel and so on.  ... 
doi:10.1007/978-3-540-75444-2_72 fatcat:a2tirh3435fx7mnbkew436o7uu

Self-Adaptive Semantic Focused Crawler for Mining Services Information Discovery

Hai Dong, F. K. Hussain
2014 IEEE Transactions on Industrial Informatics  
This framework incorporates the technologies of semantic focused crawling and ontology learning, in order to maintain the performance of this crawler, regardless of the variety in the Web environment.  ...  The innovations of this research lie in the design of an unsupervised framework for vocabulary-based ontology learning, and a hybrid algorithm for matching semantically relevant concepts and metadata.  ...  The learning step follows an unsupervised paradigm, which uses the crawler to download a number of Web documents and learn statistics based on these Web documents.  ... 
doi:10.1109/tii.2012.2234472 fatcat:hotreldsujernfadxiuoka2rq4

Machine Learning in Efficient and Effective Web Service Discovery

Kailash Chander Bhardwaj, R. K. Sharma
2015 Journal of Web Engineering  
The web service discovery mechanism has continuously evolved during the last years.  ...  A tremendous effort has been reported in literature and researchers are still contributing to make the web service discovery more effective and efficient.  ...  Acknowledgement The authors take this opportunity to thank the anonyms reviewers of the paper for the critical reviews and suggestions. This has helped us in improving the contents of this paper.  ... 
dblp:journals/jwe/BhardwajS15 fatcat:hjpemsjbnvavbfohuw63d4zoke

Research of Intelligent Web Courseware Model System Based on Ontology

Haixu Xi, Wei Gao, Jin Qian
2015 International Journal of Grid and Distributed Computing  
This article proposes a resource sharing model of courseware based on semantic web so as to solve the problem of courseware in the teaching process.  ...  The development of distance education put forward higher requirements for WEB courseware, it should update teaching content based on the degree of students.  ...  The main components of the Semantic Web include the Semantic Web statement, the uniform resource identifier, semantic Web language, and ontology and instance data [10] .  ... 
doi:10.14257/ijgdc.2015.8.2.23 fatcat:su32eed5cja6faofo7tp76a53q
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