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"editor": [ "York Sure-Vetter","Paul Groth" ], "editors": [ {"first" : "York", "last" : "Sure-Vetter"}, {"first" : "Paul", "last" : "Groth"} ], "doi" : "10.5281/zenodo.16735910", "bibtexKey": "schembera2025fair" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2272022da616d11298b613dbf01d20881/diglezakis", "tags" : [ "metadata","multiscale","nfdi4ing","ontologie","simulation" ], "intraHash" : "272022da616d11298b613dbf01d20881", "interHash" : "9d093c42aec1f0f187504d013484a772", "label" : "Enhancing Multiscale Simulation Data Management with Domain Ontologies and an ELN: Addressing Challenges and Implementing Strategies", "user" : "diglezakis", "description" : "", "date" : "2025-10-07 10:47:17", "changeDate" : "2025-10-07 10:47:17", "count" : 2, "pub-type": "article", "journal": "Data Science Journal", "year": "2025", "url": "", "author": [ "Hafiz Muhammad Noman","Michael Selzer" ], "authors": [ {"first" : "Hafiz Muhammad", "last" : "Noman"}, {"first" : "Michael", "last" : "Selzer"} ], "abstract": "Data plays a fundamental role in advancing knowledge and driving research across all fields. Despite the abundance of data, several challenges still need to be addressed. These challenges include limited accessibility, heterogeneous data, lack of interconnections between associated topics, difficulty retrieving required information, semantic mismatches, and several other challenges. Ontologies provide a structured method to address these challenges effectively.\r\nThis study addresses two central aspects of ontology research. First, it details the multidisciplinary ontology development process, highlighting the challenges, mitigation strategies, and impacts on domain data management. It then offers guidelines for beginners and individuals with a background in data management on effective engagement in ontology creation.\r\nSecond, it introduces the Ontology for Multiscale Simulation methods (Onto-MS), constructed by following the guidelines from the first part. 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While ontology development is ongoing, the current version is functional and continuously refined with new insights and feedback.", "keyword" : "en", "doi" : "10.5334/dsj-2025-028", "bibtexKey": "Noman-2025" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2272022da616d11298b613dbf01d20881/forschungsdaten", "tags" : [ "metadata","ontologie","simulation","nfdi4ing","multiscale" ], "intraHash" : "272022da616d11298b613dbf01d20881", "interHash" : "9d093c42aec1f0f187504d013484a772", "label" : "Enhancing Multiscale Simulation Data Management with Domain Ontologies and an ELN: Addressing Challenges and Implementing Strategies", "user" : "forschungsdaten", "description" : "", "date" : "2025-10-07 10:47:17", "changeDate" : "2025-10-07 10:47:17", "count" : 2, "pub-type": "article", "journal": "Data Science Journal", "year": "2025", "url": "", "author": [ "Hafiz Muhammad Noman","Michael Selzer" ], "authors": [ {"first" : "Hafiz Muhammad", "last" : "Noman"}, {"first" : "Michael", "last" : "Selzer"} ], "abstract": "Data plays a fundamental role in advancing knowledge and driving research across all fields. Despite the abundance of data, several challenges still need to be addressed. These challenges include limited accessibility, heterogeneous data, lack of interconnections between associated topics, difficulty retrieving required information, semantic mismatches, and several other challenges. Ontologies provide a structured method to address these challenges effectively.\r\nThis study addresses two central aspects of ontology research. First, it details the multidisciplinary ontology development process, highlighting the challenges, mitigation strategies, and impacts on domain data management. It then offers guidelines for beginners and individuals with a background in data management on effective engagement in ontology creation.\r\nSecond, it introduces the Ontology for Multiscale Simulation methods (Onto-MS), constructed by following the guidelines from the first part. 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H. Karray","F. Al Machot","B. Schembera" ], "authors": [ {"first" : "MT", "last" : "Horsch"}, {"first" : "S", "last" : "Chiacchiera"}, {"first" : "IT", "last" : "Todorov"}, {"first" : "AT", "last" : "Correia"}, {"first" : "A", "last" : "Dey"}, {"first" : "NA", "last" : "Konchakova"}, {"first" : "S", "last" : "Scholze"}, {"first" : "S", "last" : "Stephan"}, {"first" : "K", "last" : "Tøndel"}, {"first" : "A", "last" : "Sarkar"}, {"first" : "M. 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Rep", "year": "2023", "url": "https://www.researchgate.net/profile/Martin-Horsch/publication/366974408_Epistemic_metadata_in_molecular_modelling_First-stage_case-study_report_10_cases/links/63bc41e4a03100368a6645a6/Epistemic-metadata-in-molecular-modelling-First-stage-case-study-report-10-cases.pdf", "author": [ "MT Horsch","B Schembera","MaRDI DFG" ], "authors": [ {"first" : "MT", "last" : "Horsch"}, {"first" : "B", "last" : "Schembera"}, {"first" : "MaRDI", "last" : "DFG"} ], "bibtexKey": "horsch2023epistemic" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24181b91b7df3b119bd8e9cf41ffa4bfb/bjoernschembera", "tags" : [ "cmcs","mathematik","metadata","myown","rdm","simulation" ], "intraHash" : "4181b91b7df3b119bd8e9cf41ffa4bfb", "interHash" : "00422915b077fbe053e16dbb9eeb2ba7", "label" : "Building Ontologies and Knowledge Graphs for Mathematics and its Applications", "user" : "bjoernschembera", "description" : "", "date" : "2023-12-14 15:57:04", "changeDate" : "2023-12-14 15:57:04", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the Conference on Research Data Infrastructure", "year": "2023", "url": "https://www.tib-op.org/ojs/index.php/CoRDI/article/download/255/479", "author": [ "Björn Schembera","Frank Wübbeling","Thomas Koprucki","Christine Biedinger","Marco Reidelbach","Burkhard Schmidt","Dominik Göddeke","Jochen Fiedler" ], "authors": [ {"first" : "Björn", "last" : "Schembera"}, {"first" : "Frank", "last" : "Wübbeling"}, {"first" : "Thomas", "last" : "Koprucki"}, {"first" : "Christine", "last" : "Biedinger"}, {"first" : "Marco", "last" : "Reidelbach"}, {"first" : "Burkhard", "last" : "Schmidt"}, {"first" : "Dominik", "last" : "Göddeke"}, {"first" : "Jochen", "last" : "Fiedler"} ], "volume": "1","abstract": "Ontologies and knowledge graphs for mathematical algorithms and models are presented, that have been developed by the Mathematical Research Data Initiative. This enables FAIR data handling in mathematics and the applied disciplines. Moreover, challenges of harmonization during the ontology development are discussed.", "venue" : "Karlsruhe Institute of Technology", "eventtitle" : "1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities", "doi" : "10.52825/cordi.v1i.255", "bibtexKey": "schembera2023building" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/29c437b232f47bcac8e9e6f8222482b83/bjoernschembera", "tags" : [ "\"data","data","hpc","metadata","myown","simulation","technology\"" ], "intraHash" : "9c437b232f47bcac8e9e6f8222482b83", "interHash" : "3e2d215e3e3dfc1f6b37bf47644eaed8", "label" : "Data Technology in Materials Modelling", "user" : "bjoernschembera", "description" : "", "date" : "2021-11-03 16:15:20", "changeDate" : "2021-11-03 15:16:00", "count" : 3, "pub-type": "book", "publisher":"Springer Nature","address":"Cham", "year": "2021", "url": "https://link.springer.com/book/10.1007/978-3-030-68597-3", "author": [ "Martin Thomas Horsch","Silvia Chiacchiera","Welchy Leite Cavalcanti","Björn Schembera" ], "authors": [ {"first" : "Martin Thomas", "last" : "Horsch"}, {"first" : "Silvia", "last" : "Chiacchiera"}, {"first" : "Welchy Leite", "last" : "Cavalcanti"}, {"first" : "Björn", "last" : "Schembera"} ], "note": "ISBN 978-3-03068596-6","abstract": "This open access book discusses advances in semantic interoperability for materials modelling, aiming at integrating data obtained from different methods and sources into common frameworks, and facilitating the development of platforms where simulation services in computational molecular engineering can be provided as well as coupled and linked to each other in a standardized and reliable way. The Virtual Materials Marketplace (VIMMP), which is open to all service providers and clients, provides a framework for offering and accessing such services, assisting the uptake of novel modelling and simulation approaches by SMEs, consultants, and industrial R&D end users. Semantic assets presented include the EngMeta metadata schema for research data infrastructures in simulation-based engineering and the collection of ontologies from VIMMP, including the ontology for simulation, modelling, and optimization (OSMO) and the VIMMP software ontology (VISO).", "isbn" : "3030685977", "doi" : "10.1007/978-3-030-68597-3", "bibtexKey": "horsch2021technology" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/25c6e8bf658a13baa80f0a98cc43bb396/bjoernschembera", "tags" : [ "data","hpc","metadata","myown","simulation" ], "intraHash" : "5c6e8bf658a13baa80f0a98cc43bb396", "interHash" : "2b568eacff25950b2939975fb43786e3", "label" : "Domain-specific metadata standardization in materials modelling", "user" : "bjoernschembera", "description" : "", "date" : "2021-11-03 16:06:31", "changeDate" : "2021-11-03 15:07:48", "count" : 4, "pub-type": "inproceedings", "year": "2021", "url": "https://openreview.net/forum?id=uYgdGd7_wgH", "author": [ "Martin Thomas Horsch","Joana Francisco Morgado","Gerhard Goldbeck","Dorothea Iglezakis","Natalia A. Konchakova","Björn Schembera" ], "authors": [ {"first" : "Martin Thomas", "last" : "Horsch"}, {"first" : "Joana Francisco", "last" : "Morgado"}, {"first" : "Gerhard", "last" : "Goldbeck"}, {"first" : "Dorothea", "last" : "Iglezakis"}, {"first" : "Natalia A.", "last" : "Konchakova"}, {"first" : "Björn", "last" : "Schembera"} ], "abstract": "Domain-specific metadata standards, including ontologies, markup languages, and technical interface specifications, are a necessary component of solutions for FAIR research data management with industrial applications. The Workshop on Domain Ontologies for Research Data Management in Industry Commons of Materials and Manufacturing (DORIC-MM 2021) discusses the state of the art, challenges, and perspectives for continuing innovation in this field. The present work comments on the landscape of semantic assets in the field of materials modelling, covering electronic, atomistic, mesoscopic, and continuum methods. Summaries are given of particularly promising lines of work, including the CAPE-OPEN interface standard, the XML schemas EngMeta, CML, and ThermoML, and the ontologies OntoCAPE, Metadata4Ing/Metadata4HPC, OSMO (the ontology version of MODA) and the VIMMP system of ontologies, and the domain-level modules of the European Materials and Modelling Ontology (EMMO). For future work, it is recommended to emphasize advancing in accordance with five principles: 1. Diversification of technologies; 2. Observation of practices; 3. Realistic objectives; 4. Incentives for providing citable data and software; 5. Co-design of simulation and data technology.", "eventtitle" : "ESWC 2021 Workshop DORIC-MM", "bibtexKey": "noauthororeditor" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2866db550eff45d5ac3595805ef1c3509/bjoernschembera", "tags" : [ "data","hpc","metadata","myown","simulation" ], "intraHash" : "866db550eff45d5ac3595805ef1c3509", "interHash" : "575b20f408d11d510d9a6873ab844435", "label" : "Datenmanagement in Infrastrukturen, Prozessen und Lebenszyklen für die Ingenieurwissenschaften : Abschlussbericht des BMBF-Projektes Dipl-Ing", "user" : "bjoernschembera", "description" : "", "date" : "2020-09-30 15:55:09", "changeDate" : "2020-09-30 13:55:09", "count" : 3, "pub-type": "techreport", "publisher":"Universität Stuttgart;","address":"Stuttgart", "year": "2019", "url": "https://www.tib.eu/de/suchen/id/TIBKAT%3A1693393980", "author": [ "Björn Schembera","Björn Selent","Dorothea Iglezakis","Anett Seeland" ], "authors": [ {"first" : "Björn", "last" : "Schembera"}, {"first" : "Björn", "last" : "Selent"}, {"first" : "Dorothea", "last" : "Iglezakis"}, {"first" : "Anett", "last" : "Seeland"} ], "doi" : "10.2314/KXP:1693393980", "bibtexKey": "TIBKAT:1693393980" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2e98dc17ecf4d3f70f090ee64e14cf177/bjoernschembera", "tags" : [ "dark","data","hpc","metadata","myown","simulation" ], "intraHash" : "e98dc17ecf4d3f70f090ee64e14cf177", "interHash" : "7f8b41b3c1a06ed15e3c052ced508e64", "label" : "Forschungsdatenmanagement im Kontext dunkler Daten in den Simulationswissenschaften", "user" : "bjoernschembera", "description" : "", "date" : "2020-09-30 15:50:17", "changeDate" : "2020-09-30 13:51:19", "count" : 3, "pub-type": "phdthesis", "address":"Stuttgart", "year": "2019", "url": "http://dx.doi.org/10.18419/opus-11028", "author": [ "Björn Schembera" ], "authors": [ {"first" : "Björn", "last" : "Schembera"} ], "abstract": "In der Dissertation wird das Konzept von dunklen Daten auf das Höchstleistungsrechnen erweitert. Dunkle Daten entstehen durch fehlende Metadaten oder inaktive Nutzerinnen und Nutzer. Die Dissertation stellt Konzepte zur Minimierung solcher Daten vor. Sie umfassen ein Metadaten-Modell (EngMeta) und eine automatisierte Metadaten-Extraktionsmethode, die entworfen und implementiert wurde. Da solche technischen Lösungsansätze ohne entsprechende organisatorische Prozesse nutzlos sind, werden sie in der Dissertation um einen spezifischen Datenkurator sowie Entscheidungskriterien ergänzt.", "doi" : "10.18419/opus-11028", "bibtexKey": "schembera2019dissertation" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24f404d2b2c1446ed26b78e6f5e606a72/bjoernschembera", "tags" : [ "data","hpc","metadata","myown","rdm","simulation" ], "intraHash" : "4f404d2b2c1446ed26b78e6f5e606a72", "interHash" : "6a06597892e0ea704462892be22aa161", "label" : "Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany", "user" : "bjoernschembera", "description" : "", "date" : "2020-07-24 10:56:01", "changeDate" : "2020-07-24 08:56:01", "count" : 1, "pub-type": "article", "journal": "International Journal of Digital Curation", "year": "2020", "url": "http://www.ijdc.net/article/view/553", "author": [ "Felix Bach","Björn Schembera","Jos van Wezel" ], "authors": [ {"first" : "Felix", "last" : "Bach"}, {"first" : "Björn", "last" : "Schembera"}, {"first" : "Jos", "last" : "van Wezel"} ], "editor": [ "Kevin Ashley" ], "editors": [ {"first" : "Kevin", "last" : "Ashley"} ], "volume": "15","number": "1","abstract": "Research data as the true valuable good in science must be saved and subsequently kept findable, accessible and reusable for reasons of proper scientific conduct for a time span of several years. However, managing long-term storage of research data is a burden for institutes and researchers. Because of the sheer size and the required retention time apt storage providers are hard to find.\r\n\r\nAiming to solve this puzzle, the bwDataArchive project started development of a long-term research data archive that is reliable, cost effective and able store multiple petabytes of data. The hardware consists of data storage on magnetic tape, interfaced with disk caches and nodes for data movement and access. On the software side, the High Performance Storage System (HPSS) was chosen for its proven ability to reliably store huge amounts of data. However, the implementation of bwDataArchive is not dependant on HPSS. For authentication the bwDataArchive is integrated into the federated identity management for educational institutions in the State of Baden-Württemberg in Germany.\r\n\r\nThe archive features data protection by means of a dual copy at two distinct locations on different tape technologies, data accessibility by common storage protocols, data retention assurance for more than ten years, data preservation with checksums, and data management capabilities supported by a flexible directory structure allowing sharing and publication. As of September 2019, the bwDataArchive holds over 9 PB and 90 million files and sees a constant increase in usage and users from many communities.", "doi" : "https://doi.org/10.2218/ijdc.v15i1.553", "bibtexKey": "bach2020design" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/25bea7e8439b7705a92337f05a08e7bf6/bjoernschembera", "tags" : [ "data","hpc","metadata","myown","rdm","simulation" ], "intraHash" : "5bea7e8439b7705a92337f05a08e7bf6", "interHash" : "b2d2b004a1925157f629beb02f9a3541", "label" : "Management of Research Data in Computational Fluid Dynamics and Thermodynamics", "user" : "bjoernschembera", "description" : "", "date" : "2020-07-24 10:44:39", "changeDate" : "2020-07-24 08:44:39", "count" : 5, "pub-type": "article", "journal": "Proceedings of E-Science-Tage 2019: Data to Knowledge", "year": "2020", "url": "https://books.ub.uni-heidelberg.de/heibooks/reader/download/598/598-4-88225-1-10-20200325.pdf", "author": [ "Björn Selent","Hamzeh Kraus","Niels Hansen","Björn Schembera","Anett Seeland","Dorothea Iglezakis" ], "authors": [ {"first" : "Björn", "last" : "Selent"}, {"first" : "Hamzeh", "last" : "Kraus"}, {"first" : "Niels", "last" : "Hansen"}, {"first" : "Björn", "last" : "Schembera"}, {"first" : "Anett", "last" : "Seeland"}, {"first" : "Dorothea", "last" : "Iglezakis"} ], "doi" : "https://doi.org/10.11588/heibooks.598", "bibtexKey": "selentmanagement" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/26bac87585948f61d6f784f2eb90e884f/bjoernschembera", "tags" : [ "data","hpc","interoperability","metadata","myown","rdm","simulation" ], "intraHash" : "6bac87585948f61d6f784f2eb90e884f", "interHash" : "c08c9202dae18bd729202a2b6142be52", "label" : "Reliable and interoperable computational molecular engineering: 1. Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions", "user" : "bjoernschembera", "description" : "", "date" : "2020-07-24 10:32:07", "changeDate" : "2020-07-24 08:32:07", "count" : 1, "pub-type": "article", "journal": "Molecular and Mesoscopic Modelling in Chemical Engineering Data Science", "year": "2020", "url": "", "author": [ "Martin Thomas Horsch","Silvia Chiacchiera","Michael A Seaton","Ilian T Todorov","Björn Schembera","Natalia Konchakova","Peter Klein" ], "authors": [ {"first" : "Martin Thomas", "last" : "Horsch"}, {"first" : "Silvia", "last" : "Chiacchiera"}, {"first" : "Michael A", "last" : "Seaton"}, {"first" : "Ilian T", "last" : "Todorov"}, {"first" : "Björn", "last" : "Schembera"}, {"first" : "Natalia", "last" : "Konchakova"}, {"first" : "Peter", "last" : "Klein"} ], "bibtexKey": "horsch2020reliable" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2a8b55e27f6201f274cc0ee7ab07aff62/bjoernschembera", "tags" : [ "data","hpc","metadata","myown","rdm","simulation" ], "intraHash" : "a8b55e27f6201f274cc0ee7ab07aff62", "interHash" : "1cc6b80f90859c2dc22382203701f3e9", "label" : "Datenmanagement im SFB 1313", "user" : "bjoernschembera", "description" : "", "date" : "2020-07-24 10:30:51", "changeDate" : "2020-07-24 08:45:46", "count" : 15, "pub-type": "article", "journal": "Bausteine Forschungsdatenmanagement", "year": "2020", "url": "https://bausteine-fdm.de/article/download/8085/8062", "author": [ "Sibylle Hermann","Martin Schneider","Bernd Flemisch","Steffen Frey","Dorothea Iglezakis","Matthias Ruf","Björn Schembera","Anett Seeland","Holger Steeb" ], "authors": [ {"first" : "Sibylle", "last" : "Hermann"}, {"first" : "Martin", "last" : "Schneider"}, {"first" : "Bernd", "last" : "Flemisch"}, {"first" : "Steffen", "last" : "Frey"}, {"first" : "Dorothea", "last" : "Iglezakis"}, {"first" : "Matthias", "last" : "Ruf"}, {"first" : "Björn", "last" : "Schembera"}, {"first" : "Anett", "last" : "Seeland"}, {"first" : "Holger", "last" : "Steeb"} ], "number": "1","pages": "28--38", "bibtexKey": "hermann2020datenmanagement" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2bc2924e388fa544d99e5ff0b654ae90e/bjoernschembera", "tags" : [ "data","hpc","metadata","myown","simulation" ], "intraHash" : "bc2924e388fa544d99e5ff0b654ae90e", "interHash" : "3d96be5e565115c6b0a72755205f2f71", "label" : "EngMeta -- Metadata for Computational Engineering", "user" : "bjoernschembera", "description" : "Preprint für akzeptierten, aber noch nicht veröffentlichten Artikel in IJMSO (https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijmso). Soll 12 Monate nach der Veröffentlichung (Ablauf Embargo) durch veröffentlichten Artikel ersetzt werden.", "date" : "2020-07-24 10:27:50", "changeDate" : "2020-07-24 08:47:53", "count" : 3, "pub-type": "article", "journal": "International Journal of Metadata, Semantics and Ontologies", "year": "2020", "url": "https://arxiv.org/abs/2005.01637", "author": [ "Björn Schembera","Dorothea Iglezakis" ], "authors": [ {"first" : "Björn", "last" : "Schembera"}, {"first" : "Dorothea", "last" : "Iglezakis"} ], "editor": [ "Emmanouel Garoufallou" ], "editors": [ {"first" : "Emmanouel", "last" : "Garoufallou"} ], "volume": "14","number": "1","pages": "26-38", "language" : "en", "eprint" : "2005.01637", "archiveprefix" : "arXiv", "primaryclass" : "cs.IR", "bibtexKey": "schembera2020engmeta" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/222075351d4b5274dc7aa217eccf88bf2/diglezakis", "tags" : [ "forschungsdaten","metadata","ontologie","optimization","simulation" ], "intraHash" : "22075351d4b5274dc7aa217eccf88bf2", "interHash" : "dbf30139f64f0ea536b7f642a60a6f99", "label" : "SoPT: Ontology for simulation optimization for scientific experiments", "user" : "diglezakis", "description" : "SoPT: Ontology for simulation optimization for scientific experiments - IEEE Conference Publication", "date" : "2020-03-10 15:16:30", "changeDate" : "2020-03-10 14:16:30", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the 2011 Winter Simulation Conference (WSC)", "year": "2011", "url": "https://ieeexplore.ieee.org/abstract/document/6147994", "author": [ "J. Han","J. A. Miller","G. A. Silver" ], "authors": [ {"first" : "J.", "last" : "Han"}, {"first" : "J. A.", "last" : "Miller"}, {"first" : "G. A.", "last" : "Silver"} ], "pages": "2909-2920","abstract": "Simulation optimization is attracting increasing research interest from the modeling and simulation community. Although there is much research on how to apply various simulation optimization techniques to solve numerous practical and research problems, researchers find that existing optimization routines are difficult to extend or integrate and often require one to develop their own optimization methods because the existing ones are problem-specific and not designed for reuse. In order to facilitate reuse of the available optimization routines and better capture the essence of different simulation optimization techniques, an ontology for simulation optimization (SoPT) is devised. SoPT includes concepts from both conventional optimization/mathematical programming and simulation optimization. Represented in ontological form, optimization routines can also be transformed into actual executable application code (e.g., targeting JSIM or ScalaTion). As illustrative examples, SoPT is being applied to real scientific computational problems.", "issn" : "0891-7736", "doi" : "10.1109/WSC.2011.6147994", "bibtexKey": "6147994" } ] }