Academic literature on the topic 'Metadatabase'
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Journal articles on the topic "Metadatabase"
Kobayashi, Norio, Satoshi Kume, Kai Lenz, and Hiroshi Masuya. "RIKEN MetaDatabase." International Journal on Semantic Web and Information Systems 14, no. 1 (January 2018): 140–64. http://dx.doi.org/10.4018/ijswis.2018010106.
Full textSMITH, P., P. D. FALLOON, M. KÖRSCHENS, L. K. SHEVTSOVA, U. FRANKO, V. ROMANENKOV, K. COLEMAN, V. RODIONOVA, J. U. SMITH, and G. SCHRAMM. "EuroSOMNET – a European database of long-term experiments on soil organic matter: the WWW metadatabase." Journal of Agricultural Science 138, no. 2 (March 2002): 123–34. http://dx.doi.org/10.1017/s0021859601001800.
Full textDeck, John, Michelle Gaither, Rodney Ewing, Christopher Bird, Neil Davies, Christopher Meyer, Cynthia Riginos, Robert Toonen, and Eric Crandall. "The Genomic Observatories Metadatabase." Proceedings of TDWG 1 (August 22, 2017): e20508. http://dx.doi.org/10.3897/tdwgproceedings.1.20508.
Full textSibbett, Benjamin, Loren H. Rieseberg, and Shawn Narum. "The Genomic Observatories Metadatabase." Molecular Ecology Resources 20, no. 6 (November 2020): 1453–54. http://dx.doi.org/10.1111/1755-0998.13283.
Full textΠΕΡΙΣΟΡΑΤΗΣ, Κ., Α. ΑΝΔΡΙΝΟΠΟΥΛΟΣ, Ε. ΖΗΜΙΑΝΙΤΗΣ, and Π. ΖΑΧΑΡΑΚΗ. "The establishment of metadatabase: The program Euromarsin for the marin sediments samples." Bulletin of the Geological Society of Greece 34, no. 2 (August 1, 2018): 725. http://dx.doi.org/10.12681/bgsg.17349.
Full textCurran, Patrick. "INCORE Metadatabase Server - Technical Aspects and Constraints." IASSIST Quarterly 19, no. 3 (January 31, 1996): 12. http://dx.doi.org/10.29173/iq328.
Full textSöhngen, Carola, Boyke Bunk, Adam Podstawka, Dorothea Gleim, and Jörg Overmann. "BacDive—the Bacterial Diversity Metadatabase." Nucleic Acids Research 42, no. D1 (November 7, 2013): D592—D599. http://dx.doi.org/10.1093/nar/gkt1058.
Full textHsu, Cheng. "The metadatabase project at Rensselaer." ACM SIGMOD Record 20, no. 4 (December 1991): 83–90. http://dx.doi.org/10.1145/141356.141394.
Full textFukushima, Atsushi, Mikiko Takahashi, Hideki Nagasaki, Yusuke Aono, Makoto Kobayashi, Miyako Kusano, Kazuki Saito, Norio Kobayashi, and Masanori Arita. "Development of RIKEN Plant Metabolome MetaDatabase." Plant and Cell Physiology 63, no. 3 (December 17, 2021): 433–40. http://dx.doi.org/10.1093/pcp/pcab173.
Full textHsu, C., G. Babin, L. Yee, M. Bouziane, W. Cheung, and L. Rattner. "The Metadatabase for Manufacturing Systems Integration." IFAC Proceedings Volumes 25, no. 7 (May 1992): 467–72. http://dx.doi.org/10.1016/s1474-6670(17)52411-8.
Full textDissertations / Theses on the topic "Metadatabase"
Solvang, Eskil Høyen. "Enhetlig tilgang til heterogene metadatabaser : Interoperabilitet v.h.a. OAI-PMH." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-219.
Full textDenne avhandlingen fokuserer på hvordan informasjon fra mange forskjellige samlinger kan gjøres lettere tilgjengelig for informasjonsbrukere. I dagens informasjonssamfunn finnes og produseres det store mengder digital informasjon, og mange organisasjoner og bedrifter anvender derfor beskrivende metadata til å organisere informasjonen sin i mange ulike samlinger/databaser. Dette fører til at personer som ønsker å søke etter informasjon, må forholde seg til tilsvarende mange forskjellige søkesystemer og søketeknikker. Fra disse brukernes ståsted er det ønskelig med et søkesystem som gjør det mulig å søke etter informasjon fra et stort antall samlinger/databaser på ett sted.
Problemstillingen som ligger til grunn for oppgaven er todelt. For det første skal det undersøkes hvordan man kan utforme en arkitektur som muliggjør samtidig søking i flere heterogene metadatabaser. For det andre skal det undersøkes hvordan denne arkitekturen kan anvendes til å bygge opp et enhetlig søkegrensesnitt som gir brukeren tilgang til ressursbeskrivelser fra alle de heterogene metadatabasene.
Forutsetningen for oppgaven er at arkitekturen skal baseres på metadatahøsting ved hjelp av OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting). Dessuten skal Fast Data Search anvendes som indekserings- og søkesystem.
I denne avhandlingen presenteres et forslag til et system som, basert på metadatahøsting fra flere forskjellige datakilder og påfølgende sentral indeksering av de innhøstede metadataene, tilbyr en enhetlig søketjeneste. Dette gjør det i praksis mulig å søke i innholdet fra mange datakilder gjennom ett felles søkegrensesnitt.
Datagrunnlaget i prototypen utgjøres av om lag 1400 metadatabeskrivelser som blir høstet fra tre av Nasjonalbibliotekets samlinger; Digitalt Radioarkiv, Galleri NOR og Mavis. Metadatahøstingen utføres av en OAI-høster som er en videreutvikling av en fritt tilgjengelig høsterapplikasjon med åpen kildekode. Alle metadataene er beskrevet i formatet MODS (Metadata Object Description Schema), som er et mer uttrykksfullt alternativ til Dublin Core. Etter en enkel normalisering, blir metadataene indeksert i Fast Data Search. Et webbasert søkegrensesnitt, med mulighet for både enkelt og avansert søk, gjør det mulig for brukerne å søke i alle de indekserte metadataene.
Hovedkonklusjonen er at metadatahøsting ved hjelp av OAI-PMH er en velegnet metode for å utvikle en felles søketjeneste for informasjon fra mange datakilder. Metoden fungerer også internt i en organisasjon/bedrift. Det er likevel viktig å være bevisst på at eksterne faktorer, som for eksempel variasjoner metadatakvalitet, kan påvirke kvaliteten på søketjenesten. Når metoden anvendes internt i en organisasjon/bedrift, kan det derfor være nyttig å undersøke datakildenes kvalitet på forhånd. På denne måten kan uegnede datakilder utelukkes på et tidlig tidspunkt.
This thesis focuses on how information from a lot of different collections can be made more easily available for information users. Today’s information society contains large amounts of digital information, and many organizations and enterprises therefore employ descriptive metadata when organizing their information in several different collections/databases. This diversity forces people wanting to search for information to deal with a corresponding number of different search systems and techniques. For these users, a search system which makes it possible to locate information from a large number of collections/databases at single spot is desirable.
The problem to be addressed in this thesis is split. Firstly it has to be examined how to model an architecture which supports simultaneous searching in heterogeneous metadatabases. Secondly it has to be examined how this architecture can be employed to build a uniform search interface which gives the user access to resource descriptions from all the heterogeneous metadatabases.
A premise for the thesis is that the architecture should be based on metadata harvesting by means of the OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting). In addition Fast Data Search should be used as the indexing and searching system.
This thesis presents a system suggestion which offers a uniform search service, based on metadata harvesting from several different data sources and subsequent central indexing of the harvested metadata. In practice this makes it possible to search the content of several data sources using one common search interface.
The data foundation in the prototype is constituted by about 1400 metadata descriptions harvested from three collections at the National Library of Norway: Digitalt radioarkiv (Digital Radio Archive), Galleri NOR (photo gallery) and Mavis (multimedia database). The harvesting process is performed by an OAI harvester which is an adaptation of an open source harvester application. All metadata is described using MODS (Metadata Object Description Schema), which is a more expressive alternative to Dublin Core. After a simple normalization process, the metadata is indexed by Fast Data Search. A web based search interface, enabling both basic and advanced search options, makes it possible for the users to search the indexed metadata.
The main conclusion is that metadata harvesting by means of OAI-PMH is a suitable method for developing a common search service for information from various data sources. The method is also applicable for internal use in an organization or enterprise. However, it is important to be conscious about external factors that may affect the quality of the search service, for instance variations in metadata quality. When the method is used internally in an organization/enterprise, it may be useful to examine the quality of the data sources in advance. By doing this, unsuitable data sources can be excluded early in the development process.
Klovning, Eric. "Metadata management in the support of data warehouse development." Online version, 2008. http://www.uwstout.edu/lib/thesis/2008/2008klovninge.pdf.
Full textIslam, Akm Saiful Piasecki Michael Ph D. "Development of a web-based modeling system using metadata concepts and databases /." Philadelphia, Pa. : Drexel University, 2004. http://dspace.library.drexel.edu/handle/1860/349.
Full textPittges, Jeff. "Metadata view graphs : a framework for query optimization and metadata management." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/9256.
Full textBermudez, Luis E. Piasecki Michael Ph D. "Ontomet: Ontology Metadata Framework /." Philadelphia, Pa. : Drexel University, 2004. http://dspace.library.drexel.edu/handle/1860/376.
Full text"Resolving horizontal partitioning and schematic variances using metadatabase approach." 2000. http://library.cuhk.edu.hk/record=b5890540.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2000.
Includes bibliographical references (leaves 80-83).
Abstracts in English and Chinese.
Chapter CHAPTER 1 --- INTRODUCTION --- p.6
Chapter CHAPTER 2 --- LITERATURE REVIEW --- p.13
Chapter 2.1. --- BACKGROUND --- p.13
Chapter 2.2. --- example systems --- p.20
Chapter 2.2.1 --- Multibase --- p.20
Chapter 2.2.2. --- Mermai d --- p.23
Chapter 2.2.3. --- The Metadatabase Approach --- p.26
Chapter 2.3. --- SUMMARY --- p.29
Chapter CHAPTER 3 --- THE METADATABASE APPROACH --- p.31
Chapter 3.1. --- Two-Stage Entity Relationship (TSER) model --- p.31
Chapter 3.2. --- The GIRD --- p.34
Chapter 3.3. --- The Metadatabase system in action --- p.36
Chapter 3.3. --- global query formulations and processing in the metadatabase system --- p.37
Chapter CHAPTER 4 --- PROBLEM OUTLINES FOR HORIZONTAL PARTITIONING AND ITS VARIANTS --- p.39
Chapter 4.1. --- Horizontal partitioning --- p.39
Chapter 4.2. --- Level of abstraction --- p.41
Chapter 4.3. --- Schematic variances --- p.42
Chapter 4.4. --- Summary --- p.43
Chapter 4.5. --- The Scenario --- p.44
Chapter 4.6. --- Populating the Metadatabase --- p.48
Chapter CHAPTER 5 --- THE ENHANCEMENTS FOR GLOBAL QUERY WITH HORIZONTAL PARTITIONED DATA OBJECTS --- p.51
Chapter 5.1. --- Identifying partitioned data objects --- p.51
Chapter 5.2. --- Additional metadata for the horizontal partitioned data objects --- p.52
Chapter 5.3. --- Complications of horizontal partitioning problem --- p.54
Chapter 5.3.1. --- Level of abstraction --- p.55
Chapter 5.3.2. --- Schematic variances --- p.57
Chapter 5.4. --- Global query with horizontal partitioning data objects --- p.59
Chapter 5.5. --- Housing the new metadata --- p.68
Chapter 5.6. --- Example --- p.72
Chapter CHAPTER 6 --- ANALYSIS --- p.75
Chapter CHAPTER 7 --- CONCLUSION AND FUTURE WORKS --- p.78
REFERENCES --- p.80
APPENDICES --- p.84
Chapter A. --- GIRD Definitions --- p.84
Chapter A1. --- GIRD Model --- p.84
Chapter A2. --- GIRD/SER Contents --- p.84
Chapter A3. --- GIRD/OER Constructs --- p.87
Chapter A4. --- Definition of Meta-attributes --- p.89
Chapter B. --- Problems Representations in Relation Algebra --- p.96
Chapter B1. --- Horizontal problem --- p.96
Chapter B2. --- Level of abstraction --- p.96
Chapter B3. --- Schematic Variance --- p.97
Chapter C. --- Details of local systems --- p.98
"EIS: using the metadatabase approach for data integration and OLAP." 1998. http://library.cuhk.edu.hk/record=b5889697.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 1998.
Includes bibliographical references (leaves 121-126).
Abstract also in Chinese.
ABSTRACT --- p.II
TABLE OF CONTENTS --- p.V
LIST OF FIGURES --- p.X
ACKNOWLEDGMENTS --- p.XII
Chapter CHAPTER 1 --- INTRODUCTION --- p.1
Chapter 1.1 --- Need support in data integration --- p.2
Chapter 1.2 --- Need support in On-line Analytical Processing (OLAP) --- p.4
Chapter 1.3 --- The proposed research --- p.5
Chapter 1.4 --- Scope of the study --- p.6
Chapter 1.5 --- Organization of the Thesis --- p.7
Chapter CHAPTER 2 --- LITERATURE REVIEW --- p.8
Chapter 2.1 --- Executive Information System (EIS) --- p.9
Chapter 2.1.1 --- Definition --- p.9
Chapter 2.1.2 --- Goals of Executive Information System --- p.10
Chapter 2.1.3 --- Role of Executive Information System --- p.11
Chapter 2.1.4 --- General characteristics of Executive Information System --- p.12
Chapter 2.1.4.1 --- A separate executive database --- p.12
Chapter 2.1.4.2 --- Data aggregation facilities --- p.12
Chapter 2.1.4.3 --- Drill-Down (and Roll-Up) --- p.13
Chapter 2.1.4.4 --- Trend analysis --- p.13
Chapter 2.1.4.5 --- Highly user-friendly interface
Chapter 2.1.4.6 --- Flexible menu-based data retrieval --- p.14
Chapter 2.1.4.7 --- High quality of business graphics --- p.14
Chapter 2.1.4.8 --- Simple modeling facilities --- p.15
Chapter 2.1.4.9 --- Communications --- p.15
Chapter 2.1.4.10 --- Automated links to other databases --- p.15
Chapter 2.1.4.11 --- Briefing book --- p.16
Chapter 2.1.5 --- Architecture of Executive Information System --- p.16
Chapter 2.1.6 --- Potential problems of Executive Information System --- p.18
Chapter 2.2 --- On-line Analytical Processing (OLAP) --- p.20
Chapter 2.2.1 --- Limitations of OLAP --- p.21
Chapter 2.2.2 --- Integration of heterogeneous distributed systems and databases --- p.21
Chapter 2.3 --- Data Warehousing (DW) --- p.23
Chapter 2.3.1 --- Definition --- p.24
Chapter 2.3.1.1 --- Subject-Orientation --- p.24
Chapter 2.3.1.2 --- Integration --- p.25
Chapter 2.3.1.3 --- Time Variancy --- p.26
Chapter 2.3.1.4 --- Nonvolatile --- p.27
Chapter 2.3.2 --- Goal of Data Warehousing --- p.28
Chapter 2.3.3 --- Architecture of Data Warehousing --- p.28
Chapter 2.3.3.1 --- Integrator --- p.29
Chapter 2.3.3.2 --- Monitor --- p.30
Chapter 2.3.3.3 --- Data Warehouse --- p.31
Chapter 2.3.4 --- Application in EIS --- p.31
Chapter 2.3.5 --- Problems associated with Data Warehouse --- p.33
Chapter 2.4 --- The Metadatabase Approach --- p.35
Chapter 2.4.1 --- Goals of the Metadatabase Approach --- p.36
Chapter 2.4.2 --- Structure of the Metadatabase Approach --- p.37
Chapter 2.4.3 --- Metadatabase Approach functionalities --- p.40
Chapter 2.4.4 --- TSER Modeling Technique --- p.42
Chapter 2.4.4.1 --- The Functional Model --- p.43
Chapter 2.4.4.1.1 --- Subject --- p.43
Chapter 2.4.4.1.2 --- Context --- p.43
Chapter 2.4.4.2 --- The Structural Model --- p.44
Chapter 2.4.4.2.1 --- Entity --- p.44
Chapter 2.4.4.2.2 --- Plural Relationship (PR) --- p.45
Chapter 2.4.4.2.3 --- Functional Relationship (FR) --- p.45
Chapter 2.4.4.2.4 --- Mandatory Relationship (MR) --- p.45
Chapter 2.4.4.3 --- Metadatabase Repository --- p.46
Chapter CHAPTER 3 --- RESEARCH METHODOLOGY --- p.48
Chapter 3.1 --- Literature review --- p.49
Chapter 3.2 --- Architecture construction --- p.50
Chapter 3.3 --- Algorithm and methods development --- p.50
Chapter 3.4 --- Prototyping --- p.51
Chapter 3.5 --- Analysis and evaluation --- p.51
Chapter CHAPTER 4 --- MULTIDIMENSIONAL DATA ANALYSIS --- p.53
Chapter 4.1 --- Multidimensional Analysis Unit (MAU) --- p.54
Chapter 4.2 --- New steps for multidimensional data analysis --- p.57
Step 1 Indicator Selection --- p.57
Step 2 Dimensions Determination --- p.58
Step 3 Dimensions Selection --- p.58
Step 4 MAU Sub-view Materialization --- p.59
Step 5 On-line Analytical Processing (OLAP) --- p.59
Chapter CHAPTER 5 --- NEW ARCHITECTURE FOR EXECUTIVE INFORMATION SYSTEM --- p.60
Chapter 5.1 --- Evolution of EIS architecture --- p.60
Chapter 5.2 --- Objectives of the new EIS architecture --- p.63
Chapter 5.3 --- The new EIS architecture --- p.65
Chapter 5.3.1 --- The Metadatabase Management System (MDBMS) --- p.67
Chapter 5.3.2 --- The ROLAP/MDB Interface --- p.68
Chapter 5.3.2.1 --- The Indicator Browser --- p.69
Chapter 5.3.2.2 --- The Dimension Selector --- p.70
Chapter 5.3.2.3 --- The Multidimensional Data Analyzer --- p.70
Chapter 5.3.3 --- The ROLAP/MDB Analyzer --- p.71
Chapter 5.3.3.1 --- The Dimension Determination Module --- p.71
Chapter 5.3.3.2 --- The MAU Schema Saver --- p.72
Chapter 5.3.3.3 --- The MQL Generator --- p.72
Chapter 5.3.3.4 --- The MAU Sub-view Materializer --- p.72
Chapter 5.3.3.5 --- The ROLAP/MDB Processor --- p.73
Chapter CHAPTER 6 --- ALGORITHM AND METHODS FOR THE NEW EIS ARCHITECTURE.… --- p.74
Chapter 6.1 --- Indicator Browser --- p.74
Chapter 6.2 --- Determining dimensions and storing MAU Schema --- p.77
Chapter 6.3 --- Dimensions selection --- p.82
Chapter 6.4 --- Materialize MAU Sub-view --- p.82
Chapter 6.5 --- Multidimensional data analysis in relational manner --- p.85
Chapter 6.5.1 --- SQL statements for three dimensional slide operation --- p.87
Chapter 6.5.2 --- SQL statements for n-dimensional slide operation --- p.89
Chapter 6.5.3 --- SQL statements for n-dimensional dice operation --- p.91
Chapter 6.5.4 --- Rotation --- p.92
Chapter 6.5.5 --- Drill-Down (and Roll-Up) --- p.94
Chapter CHAPTER 7 --- A CASE STUDY USING THE PROTOTYPED EIS --- p.97
Chapter 7.1 --- A Business Case --- p.97
Chapter 7.2 --- Multidimensional data analysis --- p.98
Step 1 Indicator selection --- p.99
Step 2 & 3 Dimension determination & MAU Schema storage --- p.100
Step 4 Dimension specification --- p.102
Step 5 MAU Sub-view formation --- p.104
Step 6 Multidimensional data analysis operations --- p.104
Chapter CHAPTER 8 --- EVALUATION OF THE NEW EIS ARCHITECTURE --- p.110
Chapter 8.1 --- Improvements --- p.110
Chapter 8.1.1 --- Adaptability --- p.111
Chapter 8.1.2 --- Flexibility --- p.112
Chapter 8.2 --- New features of the new EIS architecture --- p.113
Chapter 8.2.1 --- Access on-line production data --- p.113
Chapter 8.2.2 --- Facilitate data-mining --- p.114
Chapter 8.3 --- Processing efficiency problem --- p.114
Chapter 8.3.1 --- MAU Schema Saver for reusability --- p.115
Chapter 8.3.2 --- Dimension Selector to scale down data retrieval --- p.116
Chapter 8.3.3 --- MAU Sub-view materialization for reusability --- p.116
Chapter 8.3.4 --- Incorporate data warehouse to reduce access to local systems --- p.117
Chapter 8.4 --- Summary --- p.117
Chapter CHAPTER 9 --- CONCLUSION --- p.118
Chapter CHAPTER 10 --- DIRECTION OF FUTURE STUDIES --- p.120
REFERENCES --- p.121
APPENDIX --- p.127
Global Information Resources Dictionary (GIRD) --- p.127
Singh, Sukhdev. "Web Enabling a Bibliographic Database of Indian Biomedical Journals: IndMED." Thesis, 2004. http://drtc.isibang.ac.in/ldl/handle/1849/172.
Full textThe project aims to provide access through web to a bibliographic database called IndMED. The database is a product of Indian Medlars Centre (IMC, a division of National Informatics Centre) and has data relating to references to articles published in India’s learned biomedical journals. The scope of this project is limited to providing a web-based user interface for database searching and developing the CGI for Web-Database Connectivity. The project was planned to ensure its scheduled completion. A survey of relevant research and technologies pertaining to Web Interface, Web-Database Connectivity and DBMS have been made and briefly described in the dissertation. Interview, Questionnaire and Observation of similar systems were utilized to determine the requirements of the proposed system. Specification of the proposed system was then based on the requirements. After the requirements and the specification of the proposed system was finalized an Analysis Model consisting of Data Flow Diagrams (DFDs) and Entity-Relationship Diagram (ERD) was developed. Design of the system was then developed for the sub-systems – Web-Interface, Web-database Connectivity and DBMS - so the requirements and specifications are met. The Web-Interface mainly consists of html pages i.e. Simple Search Form, Minimal Search Form and Advanced Search Form and the dynamically generated by CGI the Search Result Screen. The Web-Database Connectivity sub-system consists of PERL Scripts dealing with Processing of data submitted from html forms, Variables assignment, Error Trap, Formulation of query string which can passed on to the DBMS sub-system and Html Patching of the output of the database in response to the query. The implementation of the system includes: the screens along with html code written for various search forms and generated by the CGI for the Web-Interface, Perl Scripts (IMSS.PL; IMAS.PL; IMRS.PL) for the CGI and the Database Structure, Fields included in Inverted File Index of the Database and Display Formats for the DBMS sub-system. The system thus developed was tested to meet the tests prescribed by the system specification. The final product has been integrated into the Home-page of IMC at the URL http://indmed.nic.in . A user help document for searching is also included. The system developed has scope for future research and refinement in regard to relevancy ranking, federated searching, links to full text articles and other material relevant to the user query available on the Internet along with the results from IndMED.
Moodley, Surendran. "The development and evaluation of an online tutorial to teach digitization and metadata indexing of library and archival resources." Thesis, 2009. http://hdl.handle.net/10413/531.
Full textTheses (M.A.)-University of KwaZulu-Natal, Durban, 2009.
Books on the topic "Metadatabase"
Hsu, Cheng. Enterprise Integration and Modeling: The Metadatabase Approach. Boston, MA: Springer US, 1996.
Find full textHsu, Cheng. Enterprise Integration and Modeling: The Metadatabase Approach. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5.
Full textSiegel, Michael D. Building flexible, extensible tools for metadatabase integration. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1991.
Find full textHsu, Cheng. Enterprise integration and modeling: The metadatabase approach. Boston: Kluwer Academic Publishers, 1996.
Find full textJ. L. Campos dos Santos. A biodiversity information system in an open data/metadatabase architecture. Enschede: ITC, 2003.
Find full textD, Hettinger Robert, Roberts Laura N. Robinson, and Geological Survey (U.S.), eds. Selected ARC/INFO coverages created for investigations of the distribution and resources of coal in the Kaiparowits Plateau, southern Utah: An accompaniment to Hettinger and others, 1996, version 1. [Reston, Va.?: U.S. Dept. of the Interior, U.S. Geological Survey], 1997.
Find full textD, Hettinger Robert, Roberts Laura N. Robinson, and Geological Survey (U.S.), eds. Selected ARC/INFO coverages created for investigations of the distribution and resources of coal in the Kaiparowits Plateau, southern Utah: An accompaniment to Hettinger and others, 1996, version 1. [Reston, Va.?: U.S. Dept. of the Interior, U.S. Geological Survey], 1997.
Find full textWolfgang, Klas, and Sheth A. 1959-, eds. Multimedia data management: Using metadata to integrate and apply digital media. New York: McGraw-Hill, 1998.
Find full textMetadata Management With IBM InfoSphere Information Server. Poughkeepsie, NY: IBM Corporation, International Technical Support Organization, 2011.
Find full textRyszard, Kruk Sebastian, and McDaniel W. D, eds. Semantic digital libraries. Berlin: Springer, 2009.
Find full textBook chapters on the topic "Metadatabase"
Hsu, Cheng. "The Metadatabase Model." In Enterprise Integration and Modeling: The Metadatabase Approach, 89–101. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_5.
Full textBabin, Gilbert, Zakaria Maamar, and Brahim Chaib-draa. "Metadatabase meets distributed AI." In Cooperative Information Agents, 138–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62591-7_29.
Full textHsu, Cheng. "Demonstration of a Metadatabase." In Enterprise Integration and Modeling: The Metadatabase Approach, 103–21. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_6.
Full textYee, Lester, and Cheng Hsu. "A virtual reality interface to an enterprise metadatabase." In Conceptual Modeling — ER '97, 436–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63699-4_35.
Full textHsu, Cheng. "Information-Integrated Enterprises." In Enterprise Integration and Modeling: The Metadatabase Approach, 1–21. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_1.
Full textHsu, Cheng. "Manufacturing Integration." In Enterprise Integration and Modeling: The Metadatabase Approach, 183–213. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_10.
Full textYee, Lester. "Visual Information Universe." In Enterprise Integration and Modeling: The Metadatabase Approach, 215–36. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_11.
Full textHsu, Cheng. "Systems Analysis and Design." In Enterprise Integration and Modeling: The Metadatabase Approach, 23–42. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_2.
Full textHsu, Cheng. "Examples of Information Modeling." In Enterprise Integration and Modeling: The Metadatabase Approach, 43–62. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_3.
Full textHsu, Cheng. "An Enterprise Modeling Method." In Enterprise Integration and Modeling: The Metadatabase Approach, 63–87. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2363-5_4.
Full textConference papers on the topic "Metadatabase"
Hosokawa, Yoshihide. "Corpus-based place metadatabase generation for geocoding." In the 27th Annual ACM Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2245463.
Full textBliznakov, Plamen I., Jami J. Shah, and Susan D. Urban. "Integration Infrastructure to Support Concurrence and Collaboration in Engineering Design." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/eim-1420.
Full text