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Academic literature on the topic 'Meta-schema'

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Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Meta-schema"

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Atzeni, Paolo, Luigi Bellomarini, Paolo Papotti, and Riccardo Torlone. "Meta-mappings for schema mapping reuse." Proceedings of the VLDB Endowment 12, no. 5 (January 2019): 557–69. http://dx.doi.org/10.14778/3303753.3303761.

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Leahy, Robert L. "Emotional Schema Therapy: A Meta-experiential Model." Australian Psychologist 51, no. 2 (March 18, 2016): 82–88. http://dx.doi.org/10.1111/ap.12142.

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Atigui, Faten, Franck Ravat, Jiefu Song, Olivier Teste, and Gilles Zurfluh. "Facilitate Effective Decision-Making by Warehousing Reduced Data." International Journal of Decision Support System Technology 7, no. 3 (July 2015): 36–64. http://dx.doi.org/10.4018/ijdsst.2015070103.

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The authors' aim is to provide a solution for multidimensional data warehouse's reduction based on analysts' needs which will specify aggregated schema applicable over a period of time as well as retain only useful data for decision support. Firstly, they describe a conceptual modeling for multidimensional data warehouse. A multidimensional data warehouse's schema is composed of a set of states. Each state is defined as a star schema composed of one fact and its related dimensions. The derivation between states is carried out through combination of reduction operators. Secondly, they present a meta-model which allows managing different states of multidimensional data warehouse. The definition of reduced and unreduced multidimensional data warehouse schema can be carried out by instantiating the meta-model. Finally, they describe their experimental assessments and discuss their results. Evaluating their solution implies executing different queries in various contexts: unreduced single fact table, unreduced relational star schema, reduced star schema and reduced snowflake schema. The authors show that queries are more efficiently calculated within a reduced star schema.
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Ristic, Sonja, Slavica Aleksic, Milan Celikovic, and Ivan Lukovic. "Generic and standard database constraint meta-models." Computer Science and Information Systems 11, no. 2 (2014): 679–96. http://dx.doi.org/10.2298/csis140216037r.

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Many software engineering activities entail dealing with legacy information systems. When these systems become too costly to maintain, or when new technologies need to be incorporated, they need to be replaced or somehow reengineered. This can be done with significantly reduced amount of effort and cost if the conceptual models of these systems are available. Reverse engineering is the process of analyzing a subject system to create representations of the system at a higher level of abstraction. Relational databases are a common source of reverse engineering. Starting from a physical database schema, that is recorded into relational database schema data repository, the conceptual database schema or logical database schema could be extracted. The extraction process may be seen as a chain of model-to-model transformations that trace model elements from a model at the lower level of abstraction to a model at the higher level of abstraction, achieved through meta-modeling. In the paper we present generic and standard database constraint meta-models, focusing on multi-relational database constraints captured in a legacy database. These meta-models are aimed at support of model transformations to create conceptual models, as a useful source for the system reengineering process.
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JEUSFELD, MANFRED A., and UWE A. JOHNEN. "AN EXECUTABLE META MODEL FOR RE-ENGINEERING OF DATABASE SCHEMAS." International Journal of Cooperative Information Systems 04, no. 02n03 (June 1995): 237–58. http://dx.doi.org/10.1142/s021884309500010x.

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A logical database schema, e.g. a relational one, is the implementation of a specification, e.g. an entity-relationship diagram. Upcoming new data models require a cost-effective method for mapping from one data model to the other. We present an approach where the mapping process is divided into three parts. The first part reformulates the source and target data models into a so-called meta model. The second part classifies the input schema into the meta model, yielding a data model-independent representation. The third part synthesizes the output schema in terms of the target data model. The meta model, the data models as well as the schemas are all represented in the logic-based formalism of O-Telos. Its ability to quantify across data model concepts is the key to classifying schema elements independently of their data model. A prototype has been implemented on top of the deductive object base manager ConceptBase for the mapping of relational schemas to entity-relationship diagrams. From this, a C++-based tool has been derived as part of a commercial CASE environment for database applications.
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Rojahn, Krystyna, and Thomas F. Pettigrew. "Memory for schema-relevant information: A meta-analytic resolution." British Journal of Social Psychology 31, no. 2 (June 1992): 81–109. http://dx.doi.org/10.1111/j.2044-8309.1992.tb00958.x.

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Shulga, Lenna V., and James A. Busser. "Talent management meta review: a validity network schema approach." International Journal of Contemporary Hospitality Management 31, no. 10 (October 14, 2019): 3943–69. http://dx.doi.org/10.1108/ijchm-10-2018-0876.

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Purpose The purpose of this paper is to critically assess the state of substantive, methodological and conceptual development of talent management (TM) within hospitality and business research and to identify gaps, examine debates and provide hospitality research direction. Design/methodology/approach After identifying 545 articles from 22 peer-reviewed journals from Google Scholar using “talent management,” only articles directly related to TM (n = 149) were analyzed using the validity network schema (VNS). The advantage of the VNS approach is in-depth analysis of the three research domains – substantive, methodological, and conceptual – and evaluation of the pathways between domains emerging in a unique hospitality TM perspective. Findings Substantive domain TM discourse analysis identified 12 general and 5 hospitality-related topics. The resulting research framework depicted how global trends, organizational, employee-specific factors and organizational-management tactics affect (1) organizational, (2) personal, (3) societal, and (4) customer outcomes. Methodological domain analysis revealed business TM research in the mature stage, while hospitality TM research is in the embryonic stage of development. TM researchers predominantly used observational, descriptive and industry-specific data, advancing the field with associated research frameworks. Conceptual domain analysis uncovered opportunities to advance theoretical foundations and test causal relationships. Originality/value VNS analysis identified the importance of conceptual, methodological and substantive domains of TM research. The comprehensive TM research framework was proposed with eight research pathways to guide future hospitality studies. This paper advances the unique hospitality industry-specific scholarship and practice, focused on employee well-being rather than solely organizational gain.
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Yu, Shiyang, and Frank Zenker. "Schemes, Critical Questions, and Complete Argument Evaluation." Argumentation 34, no. 4 (March 6, 2020): 469–98. http://dx.doi.org/10.1007/s10503-020-09512-4.

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Abstract According to the argument scheme approach, to evaluate a given scheme-saturating instance completely does entail asking all critical questions (CQs) relevant to it. Although this is a central task for argumentation theorists, the field currently lacks a method for providing a complete argument evaluation. Approaching this task at the meta-level, we combine a logical with a substantive approach to the argument schemes by starting from Toulmin’s schema: ‘data, warrant, so claim’. For the yet more general schema: ‘premise(s); if premise(s), then conclusion; so conclusion’, we forward a meta-level CQ-list that is arguably both complete and applicable. This list should inform ongoing theoretical efforts at generating appropriate object-level CQs for specific argument schemes.
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韦, 海浪. "Web Entity Resolution Algorithm Based on Schema-Aware Meta-Blocking Technology." Hans Journal of Data Mining 10, no. 01 (2020): 16–29. http://dx.doi.org/10.12677/hjdm.2020.101002.

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Cao, Xiaohuan, Yuyan Zheng, Chuan Shi, Jingzhi Li, and Bin Wu. "Meta-path-based link prediction in schema-rich heterogeneous information network." International Journal of Data Science and Analytics 3, no. 4 (February 17, 2017): 285–96. http://dx.doi.org/10.1007/s41060-017-0046-1.

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Dissertations / Theses on the topic "Meta-schema"

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Wijesekera, Dhammika Harindra, and n/a. "A form based meta-schema for information and knowledge elicitation." Swinburne University of Technology, 2006. http://adt.lib.swin.edu.au./public/adt-VSWT20060904.123024.

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Knowledge is considered important for the survival and growth of an enterprise. Currently knowledge is stored in various places including the bottom drawers of employees. The human being is considered to be the most important knowledge provider. Over the years knowledge based systems (KBS) have been developed to capture and nurture the knowledge of domain experts. However, such systems were considered to be separate and different from the traditional information systems development. Many KBS development projects have failed. The main causes for such failures have been recognised as the difficulties associated with the process of knowledge elicitation, in particular the techniques and methods employed. On the other hand, the main emphasis of information systems development has been in the areas of data and information capture relating to transaction based systems. For knowledge to be effectively captured and nurtured it is necessary for knowledge to be part of the information systems development activity. This thesis reports on a process of investigation and analysis conducted into the areas of information, knowledge and the overlapping areas. This research advocates a hybrid approach, where knowledge and information capture to be considered as one in a unified environment. A meta-schema design based on Formal Object Role Modelling (FORM), independent of implementation details, is introduced for this purpose. This is considered to be a key contribution of this research activity. Both information and knowledge is expected to be captured through this approach. Meta data types are provided for the capture of business rules and they form part of the knowledge base of an organisation. The integration of knowledge with data and information is also described. XML is recognised by many as the preferred data interchange language and it is investigated for the purpose of rule interchange. This approach is expected to enable organisations to interchange business rules and their meta-data, in addition to data and their schema. During interchange rules can be interpreted and applied by receiving systems, thus providing a basis for intelligent behaviour. With the emergence of new technologies such as the Internet the modelling of an enterprise as a series of business processes has gained prominence. Enterprises are moving towards integration, establishing well-described business processes within and across enterprises, to include their customers and suppliers. The purpose is to derive a common set of objectives and benefit from potential economic efficiencies. The suggested meta-schema design can be used in the early phases of requirements elicitation to specify, communicate, comprehend and refine various artefacts. This is expected to encourage domain experts and knowledge analysts work towards describing each business process and their interactions. Existing business processes can be documented and business efficiencies can be achieved through a process of refinement. The meta-schema design allows for a ?systems view? and sharing of such views, thus enabling domain experts to focus on their area of specialisation whilst having an understanding of other business areas and their facts. The design also allows for synchronisation of mental models of experts and the knowledge analyst. This has been a major issue with KBS development and one of the main reasons for the failure of such projects. The intention of this research is to provide a facility to overcome this issue. The natural language based FORM encourages verbalisation of the domain, hence increasing the understanding and comprehension of available business facts.
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Ball, Craig. "A framework of services to provide a persistent data access service for the CORBA environment." Thesis, Bangor University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311389.

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Koeller, Andreas. "Integration of heterogeneous databases : discovery of meta-information and maintenance of schema-restructuring views." Link to electronic version, 2001. http://www.wpi.edu/Pubs/ETD/Available/etd-0415102-133008/.

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Thesis (Ph. D.)--Worcester Polytechnic Institute.
UMI no. 30-30945. Keywords: schema restructuring; schema changes; meta-data discovery; data mining; data integration. Includes bibliographical references (leaves 256-274).
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Koeller, Andreas. "Integration of Heterogeneous Databases: Discovery of Meta-Information and Maintenance of Schema-Restructuring Views." Digital WPI, 2002. https://digitalcommons.wpi.edu/etd-dissertations/116.

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In today's networked world, information is widely distributed across many independent databases in heterogeneous formats. Integrating such information is a difficult task and has been adressed by several projects. However, previous integration solutions, such as the EVE-Project, have several shortcomings. Database contents and structure change frequently, and users often have incomplete information about the data content and structure of the databases they use. When information from several such insufficiently described sources is to be extracted and integrated, two problems have to be solved: How can we discover the structure and contents of and interrelationships among unknown databases, and how can we provide durable integration views over several such databases? In this dissertation, we have developed solutions for those key problems in information integration. The first part of the dissertation addresses the fact that knowledge about the interrelationships between databases is essential for any attempt at solving the information integration problem. We are presenting an algorithm called FIND2 based on the clique-finding problem in graphs and k-uniform hypergraphs to discover redundancy relationships between two relations. Furthermore, the algorithm is enhanced by heuristics that significantly reduce the search space when necessary. Extensive experimental studies on the algorithm both with and without heuristics illustrate its effectiveness on a variety of real-world data sets. The second part of the dissertation addresses the durable view problem and presents the first algorithm for incremental view maintenance in schema-restructuring views. Such views are essential for the integration of heterogeneous databases. They are typically defined in schema-restructuring query languages like SchemaSQL, which can transform schema into data and vice versa, making traditional view maintenance based on differential queries impossible. Based on an existing algebra for SchemaSQL, we present an update propagation algorithm that propagates updates along the query algebra tree and prove its correctness. We also propose optimizations on our algorithm and present experimental results showing its benefits over view recomputation.
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Claypool, Kajal Tilak. "Managing schema change in an heterogeneous environment." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0617102-213436.

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Thesis (Ph. D.)--Worcester Polytechnic Institute.
Keywords: Meta modeling; schema change; frameworks; integration; schema heterogeniety; schema modeling. Includes bibliographical references (p. 381-395).
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Van, Manen Scott Ford. "A meta-decision model of schema development." 1997. https://scholarworks.umass.edu/dissertations/AAI9737591.

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This dissertation presents a three-phase model of schema development. In this model, each phase starts with an implicit decision about the adequacy of the schema, called a "meta-decision." Phase 1 (decision formation) starts with the meta-decision that a new schema is needed to reach a goal or serve a purpose. The main task of Phase 1 is forming or identifying a potentially adequate candidate schema. Once the person meta-decides that such a schema has been found, the person enters Phase 2 (decision consolidation). During this phase, the person engages in confirmatory testing of the adequacy of the schema. If the person meta-decides that the adequacy of the schema is confirmed, the person enters Phase 3 (decision dis-investment). During this phase, the person utilizes the schema, as evidenced by improved ability to process new relevant information. The dissertation reviews research and theories that relate to the model. Finally, the dissertation presents new research which tests some predictions of the model.
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Lawrence, Gregory. "Coping with evolution in information systems: a database perspective." Diss., 2002. http://hdl.handle.net/10500/1123.

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Business organisations today are faced with the complex problem of dealing with evolution in their software information systems. This effectively concerns the accommodation and facilitation of change, in terms of both changing user requirements and changing technological requirements. An approach that uses the software development life-cycle as a vehicle to study the problem of evolution is adopted. This involves the stages of requirements analysis, system specification, design, implementation, and finally operation and maintenance. The problem of evolution is one requiring proactive as well as reactive solutions for any given application domain. Measuring evolvability in conceptual models and the specification of changing requirements are considered. However, even "best designs" are limited in dealing with unanticipated evolution, and require implementation phase paradigms that can facilitate an evolution correctly (semantic integrity), efficiently (minimal disruption of services) and consistently (all affected parts are consistent following the change). These are also discussed
Computing
M. Sc. (Information Systems)
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Books on the topic "Meta-schema"

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Balsters, Herman, Bert de Brock, and Stefan Conrad, eds. Database Schema Evolution and Meta-Modeling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6.

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Cheung, T. W. Editing facilities for meta-models and application schema modelling. Manchester: UMIST, 1994.

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International, Workshop on Foundations of Models and Languages for Data and Objects (9th 2000 Dagstuhl Wadern Germany). Database schema evolution and meta-modeling: 9th International Workshop on Foundations of Models and Languages for Data and Objects, FoMLaDO/DEMM-2000, Dagstuhl Castle, Germany, September 18-21, 2000 : selected papers. New York: Springer, 2001.

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Designing Schemas for Object Bases: Illustrated by Building the Schema of a "Standard Model Warehouse": A Meta-data Repository for Tool Integration. SMG, Inc., 1996.

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Crits-Christoph, Paul, and Jacques P. Barber. Psychological Treatments for Personality Disorders. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780199342211.003.0027.

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For the treatment of borderline personality disorder, a meta-analysis found statistically significant effects indicating a beneficial effect of dialectical behavior therapy (DBT) over treatment as usual for reduction in anger, parasuicidality, and mental health. All of these effects were moderate to large. However, DBT is not uniquely effective for borderline personality disorder. Two type 1 randomized controlled trials found equal effects for versions of psychodynamic therapy. Single type 1 studies have also supported the efficacy, compared to treatment as usual, of cognitive therapy, schema therapy, and Systems Training for Emotional Predictability and Problem Solving (STEPPS, a therapy that combines cognitive-behavioral techniques and skills training with a systems component) as treatments for borderline personality disorder.
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(Editor), Herman Balsters, Bert de Brock (Editor), and Stefan Conrad (Editor), eds. Database Schema Evolution and Meta-Modeling: 9th International Workshop on Foundations of Models and Languages for Data and Objects FoMLaDO/DEMM 2000 Dagstuhl ... Papers (Lecture Notes in Computer Science). Springer, 2001.

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Book chapters on the topic "Meta-schema"

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Nolan, Deborah, and Duncan Temple Lang. "Meta-Programming with XML Schema." In Use R!, 467–500. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7900-0_14.

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Wedemeijer, Lex. "Defining Metrics for Conceptual Schema Evolution." In Database Schema Evolution and Meta-Modeling, 220–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_13.

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Aoumeur, Nasreddine, and Gunter Saake. "Consistency Management in Runtime Evolving Concurrent Information Systems: A Co-nets-Based Approach." In Database Schema Evolution and Meta-Modeling, 33–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_2.

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Türker, Can. "Schema Evolution in SQL-99 and Commercial (Object-)Relational DBMS." In Database Schema Evolution and Meta-Modeling, 1–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_1.

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Saake, Gunter, Can Türker, and Stefan Conrad. "Evolving Objects: Conceptual Description of Adaptive Information Systems." In Database Schema Evolution and Meta-Modeling, 163–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_10.

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Su, Hong, Kajal T. Claypool, and Elke A. Rundensteiner. "Extending the Object Query Language for Transparent Metadata Access." In Database Schema Evolution and Meta-Modeling, 182–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_11.

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Terrasse, Marie-Noëlle. "A Metamodeling Approach to Evolution." In Database Schema Evolution and Meta-Modeling, 202–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_12.

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Balko, Sören. "Adaptive Specifications of Technical Information Systems." In Database Schema Evolution and Meta-Modeling, 61–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_3.

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Claypool, Kajal T., Elke A. Rundensteiner, and George T. Heineman. "Evolving the Software of a Schema Evolution System." In Database Schema Evolution and Meta-Modeling, 68–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_4.

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Franconi, Enrico, Fabio Grandi, and Federica Mandreoli. "Schema Evolution and Versioning: A Logical and Computational Characterisation." In Database Schema Evolution and Meta-Modeling, 85–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48196-6_5.

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Conference papers on the topic "Meta-schema"

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Papazoglou, Mike P., and Nick Russell. "A semantic meta-modelling approach to schema transformation." In the fourth international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/221270.221347.

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Zhao, Jianan, Xiao Wang, Chuan Shi, Zekuan Liu, and Yanfang Ye. "Network Schema Preserving Heterogeneous Information Network Embedding." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/190.

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As heterogeneous networks have become increasingly ubiquitous, Heterogeneous Information Network (HIN) embedding, aiming to project nodes into a low-dimensional space while preserving the heterogeneous structure, has drawn increasing attention in recent years. Many of the existing HIN embedding methods adopt meta-path guided random walk to retain both the semantics and structural correlations between different types of nodes. However, the selection of meta-paths is still an open problem, which either depends on domain knowledge or is learned from label information. As a uniform blueprint of HIN, the network schema comprehensively embraces the high-order structure and contains rich semantics. In this paper, we make the first attempt to study network schema preserving HIN embedding, and propose a novel model named NSHE. In NSHE, a network schema sampling method is first proposed to generate sub-graphs (i.e., schema instances), and then multi-task learning task is built to preserve the heterogeneous structure of each schema instance. Besides preserving pairwise structure information, NSHE is able to retain high-order structure (i.e., network schema). Extensive experiments on three real-world datasets demonstrate that our proposed model NSHE significantly outperforms the state-of-the-art methods.
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Agocs, Adam, and Jean-Marie Le Goff. "A web service based on RESTful API and JSON Schema/JSON Meta Schema to construct knowledge graphs." In 2018 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2018. http://dx.doi.org/10.1109/cits.2018.8440193.

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Sy, Oumar, Denio Duarte, and Guilherme Dal Bianco. "Ontologies and Relational Databases Meta-Schema Design: a Three-Level Unified Lifecycle." In 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2018. http://dx.doi.org/10.1109/codit.2018.8394889.

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Peng, Hao, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxin Ning, Kunfeng Lai, and Philip S. Yu. "Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/449.

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Events are happening in real-world and real-time, which can be planned and organized occasions involving multiple people and objects. Social media platforms publish a lot of text messages containing public events with comprehensive topics. However, mining social events is challenging due to the heterogeneous event elements in texts and explicit and implicit social network structures. In this paper, we design an event meta-schema to characterize the semantic relatedness of social events and build an event-based heterogeneous information network (HIN) integrating information from external knowledge base, and propose a novel Pairwise Popularity Graph Convolutional Network (PP-GCN) based fine-grained social event categorization model. We propose a Knowledgeable meta-paths Instances based social Event Similarity (KIES) between events and build a weighted adjacent matrix as input to the PP-GCN model. Comprehensive experiments on real data collections are conducted to compare various social event detection and clustering tasks. Experimental results demonstrate that our proposed framework outperforms other alternative social event categorization techniques.
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Zhang, Chengwei, Ling Tian, and Yuanhao Wu. "Ontology-Based Adaptive Object Model for Simulation Physical Parameter Management." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50188.

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Simulation is widely used. It requires a great deal of various physical parameters, some of which are existing, some of which demand to be measured or tested. For a simulation parameter management system, the parameters should be queried easily and new type of parameters, rather than new parameters of the existing type, could be added dynamically. This paper presents a plug-and-play system for simulation physical parameter management based on ontology and AOM (Adaptive Object Model). It consists of a three-layer model: meta model layer, domain model and data instance layer. An interpreter engine is built according to the meta model layer. Domain expert, with little programming experience, could make or modify domain model by instantiating the meta model through Protégé. According to the domain model, interpreter engine could generate templates of both excel and database. The former acts as an importer for data, and the latter would be the model of a particular data record, taking advantage of non-predefined-schema NoSQL database. Thus, the system could be adaptive for any domain by modifying the domain model. Separated from the program itself, the domain model exists as an independent configuration file, which means this model could be edited with immediate effect during run-time. By collecting all the data of the same template, a statistic would be calculated. Once a new data is imported, the statistic would evolve with it. Applied in the development of the physical parameter management system for the flexible paper-like object in an ATM manufacturer, the system is demonstrated to be effective.
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