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Schema Merging Based on Semantic Mappings [chapter]

Nikos Rizopoulos, Peter McBrien
2009 Lecture Notes in Computer Science  
based on the identified mappings.  ...  In this dissertation, we propose a schema integration framework which (1) is only concerned with semantic mappings (that associate schema objects based on simple set based comparisons of the objects' instances  ...  Based on these mappings schema merging of S er 1 and S er 2 could be performed.  ... 
doi:10.1007/978-3-642-02843-4_20 fatcat:hagpayybsbdtvfe4gvtz2tty7i

A survey on ontology mapping

Namyoun Choi, Il-Yeol Song, Hyoil Han
2006 SIGMOD record  
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  ...  Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous systems and semantic web applications.  ...  FCA-Merge 17 : FCA-Merge is a method for ontology merging based on Ganter and Wille's formal concept analysis 28 , lattice exploration, and instances of ontologies to be merged.  ... 
doi:10.1145/1168092.1168097 fatcat:we52fyqq2jbgtkfwzo3ybkaoeu

A framework for semantic grouping in P2P databases

Verena Kantere, Dimitrios Tsoumakos, Timos Sellis
2008 Information Systems  
A set of mappings between S, S ′ is denoted as Semantics are 'flooding' from one peer to the other, through respective mappings: Definition 3.  ...  Extended discussion and details on acquaintance mappings, query rewriting, query similarity etc can be found in [25] .  ...  Finally, we require that the merging procedure is based only on available information on the peers, i.e. it exploits solely the peer schemas and the peer mappings.  ... 
doi:10.1016/ fatcat:3ie5el7auzd5rivn6i4or5hguq

Automatic generation of mediated schemas through reasoning over data dependencies

Xiang Li, Christoph Quix, David Kensche, Sandra Geisler, Lisong Guo
2011 2011 IEEE 27th International Conference on Data Engineering  
Classical data integration systems rely on a mediated schema created by human experts through an intensive design process. Automatic generation of mediated schemas is still a goal to be achieved.  ...  We generate mediated schemas by merging multiple source schemas interrelated by tuple-generating dependencies (tgds).  ...  ACKNOWLEDGMENT The work is supported by the Research Cluster on Ultra High-Speed Mobile Information and Communcation UMIC (  ... 
doi:10.1109/icde.2011.5767913 dblp:conf/icde/LiQKGG11 fatcat:kbk7bgb56rcx5k2o6unheo7ice

A semantic-mediation architecture for interoperable supply-chain applications

M. Vujasinovic, N. Ivezic, B. Kulvatunyou, E. Barkmeyer, M. Missikoff, F. Taglino, Z. Marjanovic, I. Miletic
2009 International journal of computer integrated manufacturing (Print)  
This paper presents a semantic-mediation architecture that enables standards-based interoperability between heterogeneous supply-chain applications.  ...  The design-time tools supported a domain ontology definition, message annotations, message schema transformations, and reconciliation rules specifications.  ...  Further distinction is based on the reconciliation approach applied -merging or mapping.  ... 
doi:10.1080/09511920802616781 fatcat:s6gm7kz36vdnddtau4ni72b5xi

Global Schema Generation Using Formal Ontologies [chapter]

Farshad Hakimpour, Andreas Geppert
2002 Lecture Notes in Computer Science  
Instead, we present an approach based on formal ontologies presented in a logical language for integrating schemas to produce global schemas.  ...  We focus on the part of semantics related to the meanings of terms used to name schema elements. Our approach does not rely on the names of the schema elements or the structure of the schema.  ...  similarity and creation of class hierarchy based on merged ontology.  ... 
doi:10.1007/3-540-45816-6_31 fatcat:7dekbniwtbbbphuy6iqcpqgua4

Schema Integration Based on Uncertain Semantic Mappings [chapter]

Matteo Magnani, Nikos Rizopoulos, Peter Mc.Brien, Danilo Montesi
2005 Lecture Notes in Computer Science  
based on the identified mappings.  ...  The core problems in schema integration are: schema matching, i.e. the identification of correspondences, or mappings, between schema objects, and schema merging, i.e. the creation of a unified schema  ...  Schema Merging In [8] , we have defined the merging of schemas based on the semantic mappings specified between their schema objects.  ... 
doi:10.1007/11568322_3 fatcat:kgqy6l6cmva2vee4vzroeclfny

Combining RDF and XML schemas to enhance interoperability between metadata application profiles

Jane Hunter, Carl Lagoze
2001 Proceedings of the tenth international conference on World Wide Web - WWW '01  
Finally using examples and mapping implementations based on XSLT and a metadata ontology, we demonstrate how interoperability between application profiles can be enhanced by using a dual schema approach  ...  So far approaches to application profiles have been based on either RDF Schemas [5] or XML Schemas [6, 7, 8] . The SCHEMAS project [9] has adopted a purely RDF Schema approach.  ...  Combined with the semantic knowledge provided by MetaNet, XSLT is capable of performing both the semantic mapping and the structural and syntactic mapping required between metadata descriptions based on  ... 
doi:10.1145/371920.372100 dblp:conf/www/HunterL01 fatcat:225nams5mjacnd2oe6fyp7m6se

A semantic privacy-preserving model for data sharing and integration

Yuh-Jong Hu, Jiun-Jan Yang
2011 Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11  
rewriting services in a semantic privacy-preserving model.  ...  ontology and rule. 3 Using a combination of semantics-enabled policies for data sharing and protection in multiple servers. 4 Ensuring soundness and completeness of query rewriting services in a semantic  ...  The ontology mapping and merging algorithm creates a global ontology schema at the virtual platform by integrating multiple local ontology schemas for data sharing.  ... 
doi:10.1145/1988688.1988700 dblp:conf/wims/HuY11 fatcat:jtrqevrcjvdgfdcmo4cuwrpis4

A layered approach to semantic similarity analysis of XML schemas

Jaewook Kim, Yun Peng, Serm Kulvatunyou, Nenad Ivezic, Albert Jones
2008 2008 IEEE International Conference on Information Reuse and Integration  
Past research on schema mapping has not fully utilized semantic information in the XML schemas.  ...  In this paper, we propose a semantic similarity analysis approach to facilitate XML schema mapping, merging and reuse.  ...  Our approach focuses on recommending a set of data elements in the target schema as likely mapping/merging candidates for each element in the source schema based on their semantic similarities.  ... 
doi:10.1109/iri.2008.4583042 dblp:conf/iri/KimPKIJ08 fatcat:keo7jziexnefbnuga22zropgyy

Mapping-driven XML transformation

Haifeng Jiang, Howard Ho, Lucian Popa, Wook-Shin Han
2007 Proceedings of the 16th international conference on World Wide Web - WWW '07  
., generating target data from the source data based on schema mappings).  ...  We present a three-phase framework for highperformance XML-to-XML transformation based on schema mappings, and discuss methodologies and algorithms for implementing these phases.  ...  Based on such correspondences, Clio can generate a more precise mapping semantics.  ... 
doi:10.1145/1242572.1242715 dblp:conf/www/JiangHPH07 fatcat:tolptkegc5ga5dirue75pwhtfa

Semantic Integration of Collection Description

Irene Lourdi, Christos Papatheodorou, Martin Doerr
2009 D-Lib Magazine  
We consider two different settings depending on the system architecture: central and peer-to-peer data integration.  ...  settings, we discuss five different cases studies that illustrate the use of ontologies in metadata representation, in global conceptualization, in high-level querying, in declarative mediation, and in mapping  ...  , therefore ambiguities may arise when mapping an XML-based data model to a semantic model.  ... 
doi:10.1045/july2009-papatheodorou fatcat:z6rw5rjcabaz5jjg6jvpgsgs74

An approach for semantic integration of heterogeneous data sources

Giuseppe Fusco, Lerina Aversano
2020 PeerJ Computer Science  
In particular, to overcome problems due to semantic heterogeneity and to support interoperability with external systems, ontologies are used as a conceptual schema to represent both data sources to be  ...  The proposed approach is an ontology-based generalization of both Global-as-View and Local-as-View approaches.  ...  We can now generate the global schema based on mappings defined in the schema matching activity. This activity is called Schema Merging.  ... 
doi:10.7717/peerj-cs.254 pmid:33816906 pmcid:PMC7924686 fatcat:7zoiasrjsffmjat7bb6nedhz5e

Semantic Mapping of Component Framework Interface Ontologies for Interoperability of Vehicle Applications

Sangita De, Michael Niklas, Rooney Brian, Juergen Mottok, Premek Brada
2020 Procedia Computer Science  
component framework interface data models when expressed as ontology schemas, based on the exploration of semantic synergies.  ...  At the application component level, data interoperability relies on the semantic alignment or mapping between the various component framework interfaces data models represented as XML schemas (XSD).  ...  component framework interface data models when expressed as ontology schemas, based on the exploration of semantic synergies.  ... 
doi:10.1016/j.procs.2020.03.151 fatcat:ctorf5fr6jgjtenqozgd5xye6u

On View Transformation Support for a Native XML DBMS [chapter]

Daofeng Luo, Ting Chen, Tok Wang Ling, Xiaofeng Meng
2004 Lecture Notes in Computer Science  
In schema-based view transformation, users define view schema over sources to obtain view results.  ...  Current available schema formats are unable to express views with complex semantic constraints.  ...  Most noticeably, our algorithm performs transformation for (a) Structural join cluster Paper and Researcher (b) Dupli-Merge based on Paper keys (c) Structural join cluster Paper and Project (d) Merge based  ... 
doi:10.1007/978-3-540-24571-1_20 fatcat:bldupun3pvb6xca63oyza6rrtm
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