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Academic literature on the topic 'Schema Integration'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 June 2025

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Journal articles on the topic "Schema Integration"

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Masood, Nayyer, Amna Bibi, and Muhammad Arshad Islam. "Schema Integration of Web Tables (SIWeT)." Sukkur IBA Journal of Computing and Mathematical Sciences 1, no. 2 (2017): 57. http://dx.doi.org/10.30537/sjcms.v1i2.38.

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Schema integration has been mainly applied in database environment whether schemas to be integrated belonged to a single organization or multiple ones. Schema extraction is a relatively new area where schema is extracted from a web table. The extracted schema is not as much concretely defined as in a typical database environment. The work in this paper brings two areas together where extracted schemas from multiple web tables are integrated to form a global schema. The data are also extracted from web tables and placed into global table. This creates a large repository of data of the same domain extracted dynamically from websites which is then available for different types of ad-hoc queries. This work also imposes challenges on schema integration to be studied in the context of schema extraction and other way round.

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Nurhendratno, Slamet Sudaryanto, and Sudaryanto Sudaryanto. "DATA INTEGRATION MODEL DESIGN FOR SUPPORTING DATA CENTER PATIENT SERVICES DISTRIBUTED INSURANCE PURCHASE WITH VIEW BASED DATA INTEGRATION." Computer Engineering, Science and System Journal 3, no. 2 (2018): 162. http://dx.doi.org/10.24114/cess.v3i2.8895.

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Data integration is an important step in integrating information from multiple sources. The problem is how to find and combine data from scattered data sources that are heterogeneous and have semantically informant interconnections optimally. The heterogeneity of data sources is the result of a number of factors, including storing databases in different formats, using different software and hardware for database storage systems, designing in different data semantic models (Katsis & Papakonstantiou, 2009, Ziegler & Dittrich , 2004). Nowadays there are two approaches in doing data integration that is Global as View (GAV) and Local as View (LAV), but both have different advantages and limitations so that proper analysis is needed in its application. Some of the major factors to be considered in making efficient and effective data integration of heterogeneous data sources are the understanding of the type and structure of the source data (source schema). Another factor to consider is also the view type of integration result (target schema). The results of the integration can be displayed into one type of global view or a variety of other views. So in integrating data whose source is structured the approach will be different from the integration of the data if the data source is not structured or semi-structured. Scheme mapping is a specific declaration that describes the relationship between the source scheme and the target scheme. In the scheme mapping is expressed in in some logical formulas that can help applications in data interoperability, data exchange and data integration. In this paper, in the case of establishing a patient referral center data center, it requires integration of data whose source is derived from a number of different health facilities, it is necessary to design a schema mapping system (to support optimization). Data Center as the target orientation schema (target schema) from various reference service units as a source schema (source schema) has the characterization and nature of data that is structured and independence. So that the source of data can be integrated tersetruktur of the data source into an integrated view (as a data center) with an equivalent query rewriting (equivalent). The data center as a global schema serves as a schema target requires a "mediator" that serves "guides" to maintain global schemes and map (mapping) between global and local schemes. Data center as from Global As View (GAV) here tends to be single and unified view so to be effective in its integration process with various sources of schema which is needed integration facilities "integration". The "Pemadu" facility is a declarative mapping language that allows to specifically link each of the various schema sources to the data center. So that type of query rewriting equivalent is suitable to be applied in the context of query optimization and maintenance of physical data independence.Keywords: Global as View (GAV), Local as View (LAV), source schema ,mapping schema

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Amghar, Souad, Safae Cherdal, and Salma Mouline. "A Schema Integration Approach for Big Data Analysis." Ingénierie des systèmes d information 28, no. 2 (2023): 315–25. http://dx.doi.org/10.18280/isi.280207.

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A huge volume of data is analyzed by organizations to understand their clients and improve their services. In many cases, these data are stored separately in different database systems and need to be integrated before being used in analysis tools or prediction applications. One of the main tasks of data integration process is the definition of the global schema. Defining a global schema in the context of NoSQL systems is a demanding task since it necessitates dealing with a variety of issues, including the lack of local schemas, data model heterogeneity, and semantic heterogeneity. To address these challenges, this work aims to automatically define the global schema of a set of databases stored in heterogeneous NoSQL systems. The main contributions of this work are presented in three phases: (1) Schema extraction where we define the local schemas using a unified representation. (2) Schema matching in which we propose a hybrid approach to find matching attributes between the local schemas. (3) Schema integration where we define the global schema using the schema matching results. A Covid-19 use case as well as other benchmarks are presented in this paper to evaluate the results of the proposed approach and illustrate its effectiveness.

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Santucci, Giuseppe. "Semantic schema refinements for multilevel schema integration." Data & Knowledge Engineering 25, no. 3 (1998): 301–26. http://dx.doi.org/10.1016/s0169-023x(97)00024-4.

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Clamen, Stewart M. "Schema evolution and integration." Distributed and Parallel Databases 2, no. 1 (1994): 101–26. http://dx.doi.org/10.1007/bf01263340.

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Wang, Y. H., H. B. Zhang, and J. Xu. "A Survey of Appliactions and Researches on Schema Matching between GIS Spatial Data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W4 (June 26, 2015): 175–79. http://dx.doi.org/10.5194/isprsarchives-xl-7-w4-175-2015.

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As a fundamental problem of data management and application technology, schema matching has aroused the universal concern of the academic circles worldwide in recent years. In order to deepen the understandings of schema matching between spatial data and to identify its uses, the documentation method is adopted in this paper to firstly summarize and describe the foundation position and guidance role of schema matching in some typical applications such as spatial data integration (including schema-level integration and instance-level integration), updating information propagation, semantic query and handling, web geo-service finding. Then, aiming to the manual performance limitations of schema matching task in most systems, the previous works on schema matching are discussed mainly from four aspects of matching implementation approaches, matching efficiency optimization, matching results representation and matching capability evaluation for designing an automated approach and system. The related theories, models, approaches, limitations and new trends of current researches on schema matching are respectively analyzed. The conclusion is drawn by these analyses that schema matching researches are still faced with many theoretical and technological problems, the matching between schemas of spatial data will be more difficult and severe, and thus needs further studies since they are more heterogeneous, vaster and complex in structure than schemas of common data.

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Buranarach, Marut, Watchira Buranasing, Sittisak Rungcharoensuksri, Panita Sarawasee, Treepidok Ngootip, and Wirapong Chansanam. "Metadata Integration Framework for Data Integration of Socio-Cultural Anthropology Digital Repositories: A Case Study of Princess Maha Chakri Sirindhorn Anthropology Centre." Informatics 9, no. 2 (2022): 38. http://dx.doi.org/10.3390/informatics9020038.

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Data integration is one of the most challenging tasks for digital collections whose data are stored across various repositories. Data integration across digital repositories has several challenges. First, data heterogeneity in terms of data schema and data values usually occurs across diverse data sources. Second, heterogeneity in data representation and semantic issues are among the problems. The same data may appear in different repositories with varied data representations, i.e., metadata schema. Recent research has focused on matching several related metadata schemas. In this paper, a metadata integration framework is proposed to support digital repositories in socio-cultural anthropology at the Princess Maha Chakri Sirindhorn Anthropology Centre (SAC), Thailand. The proposed framework is defined based on the Metadata Lifecycle Model (MLM). It utilizes non-procedural schema mappings to express data relationships in diverse schemas. A case study of metadata integration over the SAC digital repositories was conducted to validate the framework. The SAC common metadata schema was designed to support data mapping across 13 digital repositories. The SAC “One Search” system was developed to exemplify the system implementation of the framework. Evaluation results showed that the proposed metadata integration framework can support domain experts in socio-cultural anthropology in unified searching across the repositories.

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Maojo, V., H. Billhardt, J. Crespo, and M. García-Remesal. "Integration of Relational and Textual Biomedical Sources." Methods of Information in Medicine 49, no. 04 (2010): 337–48. http://dx.doi.org/10.3414/me0614.

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Summary Objectives: Bringing together structured and text-based sources is an exciting challenge for biomedical informaticians, since most relevant biomedical sources belong to one of these categories. In this paper we evaluate the feasibility of integrating relational and text-based biomedical sources using: i) an original logical schema acquisition method for textual databases developed by the authors, and ii) OntoFusion, a system originally designed by the authors for the integration of relational sources. Methods: We conducted an integration experiment involving a test set of seven differently structured sources covering the domain of genetic diseases. We used our logical schema acquisition method to generate schemas for all textual sources. The sources were integrated using the methods and tools provided by OntoFusion. The integration was validated using a test set of 500 queries. Results: A panel of experts answered a questionnaire to evaluate i) the quality of the extracted schemas, ii) the query processing performance of the integrated set of sources, and iii) the relevance of the retrieved results. The results of the survey show that our method extracts coherent and representative logical schemas. Experts’ feedback on the performance of the integrated system and the relevance of the retrieved results was also positive. Regarding the validation of the integration, the system successfully provided correct results for all queries in the test set. Conclusions: The results of the experiment suggest that text-based sources including a logical schema can be regarded as equivalent to structured databases. Using our method, previous research and existing tools designed for the integration of structured databases can be reused – possibly subject to minor modifications – to integrate differently structured sources.

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Beynon-Davies, P., L. Bonde, D. McPhee, and C. B. Jones. "A Collaborative Schema Integration System." Computer Supported Cooperative Work (CSCW) 6, no. 1 (1997): 1–18. http://dx.doi.org/10.1023/a:1008627102073.

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Barbançon, Francois, and Daniel P. Miranker. "SPHINX: Schema integration by example." Journal of Intelligent Information Systems 29, no. 2 (2007): 145–84. http://dx.doi.org/10.1007/s10844-006-0011-2.

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Dissertations / Theses on the topic "Schema Integration"

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Pandey, Abhishek. "Relational Schema Integration Using Ontologies." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406808754.

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Souza, J. M. de. "Software tools for conceptual schema integration." Thesis, University of East Anglia, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373740.

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Bellström, Peter. "Schema Integration : How to Integrate Static and Dynamic Database Schemata." Doctoral thesis, Karlstads universitet, Avdelningen för informatik och projektledning, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-5541.

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Schema integration is the task of integrating several local schemata into one global database schema. It is a complex, error-prone and time consuming task. Problems arise in recognizing and resolving problems, such as differences and similarities, between two schemata. Problems also arise in integrating static and dynamic schemata. In this thesis, three research topics are addressed: Maintaining Vocabulary in Schema Integration, Integration of Static Schemata and Integration of Static and Dynamic Schemata, while applying the notation in the Enterprise Modeling approach. In Maintaining Vocabulary in Schema Integration an analysis of what semantic loss is and why it occurs in schema integration is conducted. Semantic loss is a problem that should be avoided because both concepts and dependencies might be lost. In the thesis, it is argued that concepts and dependencies should be retained as long as possible in the schemata. This should facilitate user involvement since the users’ vocabulary is retained even after resolving similarities and differences between two schemata. In Integration of Static Schemata two methods are developed. These methods facilitate recognition and resolution of similarities and differences between two conceptual database schemata. By applying the first method, problems between two schemata can be recognized that otherwise could pass unnoticed; by applying the second method, problems can be resolved without causing semantic loss by retaining concepts and dependencies in the schemata. In Integration of Static and Dynamic Schemata a method on how to integrate static and dynamic schemata is developed. In the method, focus is put on pre- and post-conditions and how to map these to states and state changes in the database. By applying the method, states that are important for the database can be designed and integrated into the conceptual database schema. Also, by applying the method, active database rules can be designed and integrated into the conceptual database schema.

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Wang, Guilian. "Schema mapping for data transformation and integration." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3211371.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed June 7, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 135-142).

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Saleem, Khalid. "Schema Matching and Integration in Large Scale Scenarios." Montpellier 2, 2008. http://www.theses.fr/2008MON20126.

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Le besoin d'intégrer et d'analyser des grands ensembles de données issus des bases de données publiées sur le web est présent dans de nombreux domaines d'applications comme la génomique, l'environnement, la médecine et le commerce électronique. Ces données sont, après intégration, utilisées pour prendre des décisions, des échanges de services, etc. Les outils existants pour la découverte de correspondances (appelés matchers) permettent de traiter les schémas deux par deux et nécessitent l'intervention d'un expert afin de garantir une bonne qualité des correspondances. Dans un scénario de large échelle, ces approches ne sont plus pertinentes et sont voire même infaisables à cause du nombre important de schémas et de leur taille (de l'ordre d'un millier d'éléments). Il est donc nécessaire d'automatiser la découverte de correspondances. Cependant, une méthode automatique doit préserver la qualité des correspondances et garantir des performances acceptables si l'on veut qu'elle soit utilisable. Nous avons développé des méthodes qui passent à l'échelle et qui réaliseront une découverte automatique. Nous avons proposé une méthode PORSCHE (Performance ORiented SCHEma Mediation) qui permet d'intégrer plusieurs schémas simultanément et de fournir un schéma médiateur. Cette méthode utilise un algorithme basé sur la fouille d'arbres (tree mining) et a été implémentée et expérimentée sur un grand nombre de schémas disponibles sur le web. Le Web sémantique est fortement dépendant du paradigme XML, qui suit une structure hiérarchique. Par ailleurs, l'utilisation d'ontologie se développe fortement. Nous nous intéressons à la construction d'ontologie à partir de schemas XML disponible sur le web. Nous proposons une approche automatique pour modéliser la sémantique émergente des ontologies. C'est une méthode collaborative pour la construction d'ontologie sans l'interaction directe avec les utilisateurs du domaine, des experts ou des développeurs. Une des caractéristiques très importante d'une ontologie est sa structure hiérarchique des concepts. Nous considérons des grands ensembles de schémas pour un domaine spécifique comme étant des arbres et leur appliquons des algorithmes d'extraction de sous-arbres fréquents pour découvrir des motifs (patterns) hiérarchiques en vue de construire une ontologie. Nous présentons un technique pour découvrir et proposer des correspondances complexes entre deux schemas. Ces correspondances sont ensuite validées à l'aide des mini-taxonomies qui sont les sous-arbres fréquents. La technique démontre une fois de plus la construction de la taxonomie ontologie de domaine. À cet égard, nous considérons le plus grand arbre ou un arbre créé par la fusion de l'ensemble des plus grands souvent sous-arbres comme étant une taxonomie. Nous plaidons en faveur de la confiance d'une telle taxonomie et des concepts associés car elle a été extraite à partir des schémas utilisés dans le domaine spécifié considéré<br>Semantic matching of schemas in heterogeneous data sharing systems is time consuming and error prone. The dissertation presents a new robust automatic method which integrates a large set of domain specific schemas, represented as tree structures, based upon semantic correspondences among them. The method also creates the mappings from source schemas to the integrated schema. Existing mapping tools employ semi-automatic techniques for mapping two schemas at a time. In a large-scale scenario, where data sharing involves a large number of data sources, such techniques are not suitable. Semi-automatic matching requires user intervention to finalize a certain mapping. Although it provides the flexibilty to compute the best possible mapping but time performance wise abates the whole matching process. At first, the dissertation gives a detail discussion about the state of the art in schema matching. We summarize the deficiencies in the currently available tools and techniques for meeting the requirements of large scale schema matching scenarios. Our approach, PORSCHE (Performance ORiented SCHEma Mediation) is juxtaposed to these shortcomings and its advantages are highlighted with sound experimental support. PORSCHE associated algorithms, first cluster the tree nodes based on linguistic label similarity. Then, it applies a tree mining technique using node ranks calculated during depth-first traversal. This minimises the target node search space and improves time performance, which makes the technique suitable for large scale data sharing. PORSCHE implements a hybrid approach, which also in parallel, incrementally creates an integrated schema encompassing all schema trees, and defines mappings from the contributing schemas to the integrated schema. The approach discovers 1:1 mappings for integration and mediation purposes. Formal experiments on real and synthetic data sets show that PORSCHE is scalable in time performance for large scale scenarios. The quality of mappings and integrity of the integrated schema is also verified by the experimental evaluation. Moreover, we present a technique for discovering complex match (1:n, n:1 and n:m) propositions between two schemas, validated by mini-taxonomies. These mini-taxonomies are extracted from the large set of domain specific metadata instances represented as tree structures. We propose a framework, called ExSTax (Extracting Structurally Coherent Mini-Taxonomies) based on frequent sub-tree mining, to support our idea. We further extend the ExSTax framework for extracting a reliable domain specific taxonomy

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Chiticariu, Laura. "Enabling data interoperability with provenance and schema integration /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2008. http://uclibs.org/PID/11984.

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BATISTA, Maria da Conceição Moraes. "Schema quality analysis in a data integration system." Universidade Federal de Pernambuco, 2008. https://repositorio.ufpe.br/handle/123456789/1335.

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Made available in DSpace on 2014-06-12T15:49:12Z (GMT). No. of bitstreams: 1 license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2008<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>Qualidade da Informação (QI) tem se tornado um aspecto crítico nas organizações e em pesquisas da área de sistemas de informação. Informações de pouca qualidade podem ter impactos negativos na efetividade de uma organização. O crescimento do uso de data warehouses e acesso direto de gerentes e usários a informações obtidas de várias fontes contribuíram para o crescimento da necessidade de qualidade nas informações das empresas. A noção de QI em sistemas de informação emergiu nos últimos e vem sendo alvo de interesse cada vez maior. Não existe ainda um acordo comum acerca de uma definição da QI. Apenas um consenso de que tratase de um conceito de adequação ao uso . A informação é considerada apropriada para o uso dentro da perspectiva dos requisitos e necessidades de um usuário, ou seja, a qualidade da informação depende de sua utilidade. O acesso integrado a informações distribuídas em múltiplas fontes de dados heterogêneas, distribuídas e autônomas é um problema importante a ser resolvido em muitos domínios de aplicações. Tipicamente existem algumas formas de se obter respostas a consultas globais, sobre dados em fontes diferentes com diferentes combinações. entretanto é bastante custoso obter todas as respostas possíveis. Enquanto muita pesquisa tem sido feita em relação a processamento de consultas e seleção de planos com critérios de custo, pouco se conhece com relação ao problema de incorporar aspectos de QI em esquemas globais de sistemas de integração de dados. Neste trabalho, nós propomos a análise da QI em um sistema de integração de dados, mais especificamente a qualidade dos esquemas do sistema. O nosso principal objetivo é melhorar a qualidade da execução das consultas. Nossa proposta baseiasse na hipótese de que uma alternativa de otimizar o processamento de consultas seria a construção de esquemas com altos escores de QI. Assim, o foco deste trabalho está no desenvolvimento de mecanismos de análise da QI voltados esquemas de integração de dados, especialmente o esquema global. Inicialmente, nós construímos uma lista de critérios de QI e relacionamos estes critérios com os elementos existentes em sistemas de integração de dados. Em seguida, direcionamos o foco para o esquema integrado e especificamos formalmente critérios de qualidade de esquemas minimalidade, completude do esquema e consistência de tipo. Também especificamos um algoritmo de execução de ajustes de forma a melhorar a minimalidade e algoritmos para medir a consistência de tipo nos esquemas. Com esses experimentos conseguimos mostrar que o tempo de execução de uma consulta em um sistema de integração de dados pode diminuir se esta consulta for submetida a um esquema com escores altos de minimalidade e consistência de tipo

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Jučiūtė, Laura. "Duomenų loginių struktūrų išskyrimas funkcinių reikalavimų specifikacijos pagrindu." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060525_220916-37163.

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The place of data modelling in information systems‘ life cycle and the importance of data model quality in effective IS exploitation are shown in this masters' work. Refering to results of the nonfiction literature analysis the reasons why the process of data modelling must be automated are introduced; current automatization solutions are described. And as it is the main purpose of this work an original data modelling method is described and programmable prototype which automates one step of that method – schema integration is introduced.

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Davies, Guy. "Mapping and integration of schema representations of component specefications." Doctoral thesis, KTH, Data- och systemvetenskap, DSV, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136.

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Specification for process oriented applications tends to use languages that suffer from infinite, intractable or unpredictably irregular state spaces that thwart exhaustive searches by verification heuristics. However, conceptual schemas based on FOL, offer techniques for both integrating and verifying specifications in finite spaces. It is therefore of interest to transform process based specifications into conceptual schemata. Process oriented languages have an additional drawback in that reliable inputs to the integration of diverse specifications can result in unreliable outputs. This problem can more easily be addressed in a logic representation in which static and dynamic properties can be examined separately. The first part of the text describes a translation method from the process based language SDL, to first order logic. The usefulness of the method for industrial application has been demonstrated in an implementation. The method devised is sufficiently general for application to other languages with similar characteristics. Main contributions consist of: formalising the mapping of state transitions to event driven rules in dynamic entity-relationship schemas; analysing the complexity of various approaches to decomposing transitions; a conceptual representation of the source language that distinguishes meta- and object models of the source language and domain respectively. The second part of the text formally describes a framework for the integration of schemata that allows the exploration of their properties in relation to each other and to a set of integration assertions. The main contributions are the formal framework; an extension to conflicts between agents in a temporal action logic; complexity estimates for various integration properties.<br>QC 20101004

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Davies, Guy. "Mapping and integration of schema representations of component specifications /." Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136.

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Books on the topic "Schema Integration"

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universitet, Stockholms, ed. Schema integration, schema translation, and interoperability in federated information systems. Stockholm University, Dept. of Computer & Systems Sciences, 1993.

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Souza, Jano Moreirade. Software tools for conceptual schema integration. University of East Anglia, 1986.

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Reddy, M. P. Towards an active schema integration architecture for heterogeneous database systems. Productivity From Information Technology, "PROFIT" Research Initiative, Sloan School of Management, Massachusetts Institute of Technology, 1993.

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Metzger, Felix Jakob. Produktdaten-Design und Daten-Integration durch Zusammenfügen autonomer Schema-Module. [s.n.], 1997.

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Bhargava, H. K. Automated detection of naming conflicts in schema integration: Experiments with quiddities*. Naval Postgraduate School, 1991.

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United States. National Aeronautics and Space Administration., ed. A multi-regional radial integration scheme. National Aeronautics and Space Administration, 1995.

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Deng, Yangdong. 3-Dimensional VLSI: A 2.5-Dimensional Integration Scheme. Springer-Verlag Berlin Heidelberg, 2010.

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1942-, Benton Peter, and Fundação Calouste Gulbenkian, eds. The Oxford internship scheme: Integration + partnership in initial teacher education. Calouste Gulbenkian Foundation, 1990.

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Benton, Peter. The Oxford internship scheme: Integration plus partnership in initial teacher education. Calouste Gulbenkian Foundation, 1990.

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Andreas, Wilkens, ed. Le plan Schuman dans l'histoire: Intérêts nationaux et projet européen. Bruylant, 2004.

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Book chapters on the topic "Schema Integration"

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Genesereth, Michael. "Master Schema Management." In Data Integration. Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-01550-2_5.

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Pottinger, Rachel. "Database Schema Integration." In Encyclopedia of GIS. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_259-2.

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Santucci, Giuseppe, Carlo Batini, and Giuseppe Di Battista. "Multilevel schema integration." In Entity-Relationship Approach — ER '93. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0024377.

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Pottinger, Rachel. "Database Schema Integration." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_259.

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Pottinger, Rachel. "Database Schema Integration." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_259.

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Fong, Joseph Shi Piu. "Schema Translation." In Information Systems Reengineering, Integration and Normalization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12295-3_3.

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Fong, Joseph S. P., and Kenneth Wong Ting Yan. "Schema Translation." In Information Systems Reengineering, Integration and Normalization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79584-9_3.

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Clamen, Stewart M. "Schema Evolution and Integration." In Distributed and Parallel Database Object Management. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2746-6_5.

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Hsu, Cheng. "The Enterprise Schema." In Enterprise Integration and Modeling: The Metadatabase Approach. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_7.

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Sarma, Anish Das, Xin Luna Dong, and Alon Y. Halevy. "Uncertainty in Data Integration and Dataspace Support Platforms." In Schema Matching and Mapping. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16518-4_4.

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Conference papers on the topic "Schema Integration"

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Azzarà, Giulia Scorza. "Collaborative HRI Affects Human Visuospatial Processing and Body Schema Integration." In 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2025. https://doi.org/10.1109/hri61500.2025.10974166.

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Sunye, Marcos, Karolayne Lima, Alberto Abelló, and Elisabete Ferreira. "Proposal for a Common Conceptual Schema for Metadata Integration and Reuse Across Diverse Scientific Domains." In 27th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013291500003929.

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Schmurr, Philipp, Andreas Schmidt, Karl-Uwe Stucky, Wolfgang Suess, and Veit Hagenmeyer. "Performing Entity Relationship Model Extraction from Data and Schema Information as a Basis for Data Integration." In 16th International Conference on Knowledge Management and Information Systems. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0013012600003838.

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Kowalski, Mikolaj, and Lukasz Ortyl. "INTEGRATING GEODETIC UNDERGROUND UTILITY DATASETS WITH BIM: IFC 4.3 FOR IMPROVED STRUCTURAL DESIGN IN POLAND." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s08.16.

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Numerous studies have examined the potential integration of Building Information Modeling (BIM) with Geographic Information Systems (GIS), typically focusing on simplifying complex BIM data for presentation within a GIS environment. However, there is a unique circumstance with extensive geodetic databases that remain untapped in construction processes in Poland. The emergence of the more applicable IFC format version 4.3, particularly relevant to surveying, presents an opportunity. The article proposes leveraging geodetic datasets, specifically underground utilities, to enhance BIM-based structural design. A Python-based converter was developed to translate data between the prevalent GML format for geodetic data collection and the IFC schema. The challenges include GML's surveyor-centric design and varying file structures, requiring the conversion tool to be adaptable and robust. Additionally, transforming 2D linear data with height and diameter attributes into 3D spatial representations poses geometry challenges. Presented program�s version can convert GML file to pandas.DataFrame, but some errors are seen in IFC 3D representation. Despite these obstacles, the developed converting tool paves the way for integrating GIS and BIM for underground utilities in Poland, and holds promise for broader application in the future, such as enabling the use of 3D models of underground utilities for infrastructure projects.

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Mork, P., A. Rosenthal, J. Korb, and K. Samuel. "Integration Workbench: Integrating Schema Integration Tools." In 22nd International Conference on Data Engineering Workshops (ICDEW'06). IEEE, 2006. http://dx.doi.org/10.1109/icdew.2006.69.

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Coelho, Jorge, Mario Florido, and Temur Kutsia. "Collaborative schema construction using regular sequence types." In Integration (IRI). IEEE, 2009. http://dx.doi.org/10.1109/iri.2009.5211567.

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Kim, Jaewook, Sookyoung Lee, Milton Halem, and Yun Peng. "Semantic similarity analysis of XML schema using grid computing." In Integration (IRI). IEEE, 2009. http://dx.doi.org/10.1109/iri.2009.5211607.

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Lee, Won-Myoung, Soo-Ik Kim, and Chang-Sung Jeong. "Semantic-based schema integration on grid." In 2009 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2009. http://dx.doi.org/10.1109/scored.2009.5443131.

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Vidal, Vânia M. P., and Marianne Winslett. "Preserving update semantics in schema integration." In the third international conference. ACM Press, 1994. http://dx.doi.org/10.1145/191246.191291.

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Su, Kehua, Xinyan Zhu, and Fanmin Kong. "Schema integration of heterogeneous geospatial database." In Geoinformatics 2008 and Joint Conference on GIS and Built environment: Advanced Spatial Data Models and Analyses, edited by Lin Liu, Xia Li, Kai Liu, and Xinchang Zhang. SPIE, 2009. http://dx.doi.org/10.1117/12.813117.

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Reports on the topic "Schema Integration"

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Bhargava, Hemant K., and Renae M. Beyer. Automated Detection of Naming Conflicts in Schema Integration: Experiments with Quiddities. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada236814.

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Lutz, Carsten. Reasoning about Entity Relationship Diagrams with Complex Attribute Dependencies. Aachen University of Technology, 2002. http://dx.doi.org/10.25368/2022.119.

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Entity Relationship (ER) diagrams are among the most popular formalisms for the support of database design [7, 12, 17, 6]. Their classical use in the (usually computer aided) database design process can roughly be described as follows: after evaluating the requirements of the application, the database designer constructs an ER schema, which represents the conceptual model of the new database. CASE tools can be used to automatically transform the ER schema into a relational database schema, which is then manually fine-tuned. During the last years, the initially rather simple ER formalisms has been extended by various means of expressivity to account for new, more complex application areas such as schema integration for data warehouses [12, 3, 13]. Designing a conceptual model with such enriched ER diagrams is a nontrivial task: there exist complex interactions between the various means of expressivity, which quite often result in unnoticed inconsistencies in the ER schemas and in implicit ramifications of the modeling that have not been intended by the designer. To address this problem, Description Logics (DLs) have been proposed and succesfully used as a tool for reasoning about ER diagrams and thereby detecting the aforementioned anomalies [5, 6, 8].

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Bergeson, B., K. Boogert, and V. Nanjundaswamy. Lightweight Directory Access Protocol (LDAP) Schema for Universal Description, Discovery, and Integration version 3 (UDDIv3). RFC Editor, 2006. http://dx.doi.org/10.17487/rfc4403.

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Borgida, Alex, and Ralf Küsters. What's not in a name? Initial Explorations of a Structural Approach to Integrating Large Concept Knowledge-Bases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.101.

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Aus der Einleitung: Given two ontologies/terminologies collections of terms and their 'meanings' as used in some universe of discourse (UofD), our general task is to integrate them into a single ontology, which captures the meanings of the original terms and their inter-relationships. This problem is motivated by several application scenarios: • First, such ontologies have been and are being developed independently by multiple groups for knowledge-based and other applications. Among others, medicine is an area in which such ontologies already abound [RZStGC, CCHJ94, SCC97]. • Second, a traditional step in database design has been so-called 'view integration': taking the descriptions of the database needs of different parts of an organization (called 'external views'), and coming up with a unified central schema (called the 'logical schema') for the database [BLN86]. Although the database views might be expressed in some low-level formalism, such as the relational data model, one can express the semantics (meta-data) in a more expressive notation, which can be thought of as an ontology. Then the integration of the ontologies can guide the integration of the views. • Finally, databases and semistructured data on the internet provide many examples where there are multiple, existing heterogeneous information sources, for which uniform access is desired. To achieve this goal, it is necessary to relate the contents of the various information sources. The approach of choice has been the development of a single, integrated ontology, starting from separate ontologies capturing the semantics of the heterogeneous sources[Kas97, CDGL+98]. Of course, we could just take the union of the two ontologies, and return the result as the integration. However, except for the case when the ontologies had absolutely nothing to do with each other, this seems inappropriate. Therefore part of our task will to be explore what it means to 'integrate' two ontologies. To help in this, we will in fact assume here that the ontologies are describing exactly the same aspects of the universe of discourse (UofD), leaving for a separate paper the issue of dealing with partially overlapping ontologies.

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Leoni, Paolo, and Gunnar Lennermo. Integration concepts of decentral ST systems in DHC. IEA SHC Task 55, 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0016.

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This factsheet focuses on the integration hydraulics and control of central ST systems in DHC. The first part gives an overview of decentral feed-in: international state of the art (including comparison and selection criteria of the different integration schemes), hydraulics and components, details of the return-to-supply scheme (challenges, pump operation, control). The second part describes concepts for the secondary-side integration of ST without feed-in. The third part illustrates selected best-practice examples in Austria (Wasserwerke Andritz and Berlinerring in Graz) and Sweden (Ystad).

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Kar, Soummya, Panagiotis Moutis, and Jay Whitacre. Agent-Based Coordination Scheme for PV Integration (ABC4PV). Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1730910.

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Lathrop, J. F. An implicit integration scheme for first order differential equations. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6376877.

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Wang, DeLiang, Nicoleta Roman, Guoning Hu, Soundar Srinivasan, and Yang Shao. Monaural Speech Segregation by Integrating Primitive and Schema-Based Analysis. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada482069.

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Lester, Brian, and William Scherzinger. Impact of Integration Scheme on Performance of Anisotropic Plasticity Models. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1821526.

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Buechler, Miles A., and Darby J. Luscher. A semi-implicit integration scheme for the stress update of viscoSCRAM. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1052368.

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