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Relevant bibliographies by topics / Triple-store

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Academic literature on the topic 'Triple-store'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 June 2025

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Journal articles on the topic "Triple-store"

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Leida, Marcello, and Andrej Chu. "Zeus: a distributed triple store for proactive SPARQL queries." International Journal of Business Process Integration and Management 7, no. 1 (2014): 34. http://dx.doi.org/10.1504/ijbpim.2014.060601.

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Morsey, Mohamed, Jens Lehmann, Sören Auer, and Axel-Cyrille Ngonga Ngomo. "Usage-Centric Benchmarking of RDF Triple Stores." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 2134–40. http://dx.doi.org/10.1609/aaai.v26i1.8448.

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A central component in many applications is the underlying data management layer. In Data-Web applications, the central component of this layer is the triple store. It is thus evident that finding the most adequate store for the application to develop is of crucial importance for individual projects as well as for data integration on the Data Web in general. In this paper, we propose a generic benchmark creation procedure for SPARQL, which we apply to the DBpedia knowledge base. In contrast to previous approaches, our benchmark is based on queries that were actually issued by humans and applications against existing RDF data not resembling a relational schema. In addition, our approach does not only take the query string but also the features of the queries into consideration during the benchmark generation process. Our generic procedure for benchmark creation is based on query-log mining, SPARQL feature analysis and clustering. After presenting the method underlying our benchmark generation algorithm, we use the generated benchmark to compare the popular triple store implementations Virtuoso, Sesame, Jena-TDB, and BigOWLIM.

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Abburu, Sunitha, and Suresh Babu Golla. "Effective Partitioning and Multiple RDF Indexing for Database Triple Store." Engineering Journal 19, no. 5 (2015): 139–54. http://dx.doi.org/10.4186/ej.2015.19.5.139.

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Mariani, J. A. "Oggetto: An Object Oriented Database Layered on a Triple Store." Computer Journal 35, no. 2 (1992): 108–18. http://dx.doi.org/10.1093/comjnl/35.2.108.

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Cui, Hong, Kenneth Yang Jiang, and Partha Pratim Sanyal. "From text to RDF triple store: An application for biodiversity literature." Proceedings of the American Society for Information Science and Technology 47, no. 1 (2010): 1–2. http://dx.doi.org/10.1002/meet.14504701415.

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Amare, Samson Yohannes, Getu Tadele Taye, Tesfit Gebremeskel Gebreslassie, Ruduan Plug, and Mirjam van Reisen. "Realizing health data interoperability in low connectivity settings: The case of VODAN-Africa." FAIR Connect 1, no. 1 (2023): 55–61. http://dx.doi.org/10.3233/fc-221510.

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VODAN Africa has produced FAIR data in low resource settings. Federated machine actionable data is available in a triple store for visiting. Interoperability facets (I1–I3) were followed to achieve semantic interoperability. Vertical interoperability was also realized with DHIS2.

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Alocci, Davide, Julien Mariethoz, Oliver Horlacher, Jerven T. Bolleman, Matthew P. Campbell, and Frederique Lisacek. "Property Graph vs RDF Triple Store: A Comparison on Glycan Substructure Search." PLOS ONE 10, no. 12 (2015): e0144578. http://dx.doi.org/10.1371/journal.pone.0144578.

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Dau, Frithjof. "Towards Scalingless Generation of Formal Contexts from an Ontology in a Triple Store." International Journal of Conceptual Structures and Smart Applications 1, no. 1 (2013): 18–38. http://dx.doi.org/10.4018/ijcssa.2013010102.

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The EU-funded research project CUBIST investigates how Formal Concept Analysis can be applied as a Visual Analytics tool on top of information stored in a Triple Store (TS). This paper provides first steps for utilizing SPARQL in order to generate formal contexts out of the data in the TS, where the emphasis is put on using object-properties between individuals. Thus it complements FcaBedrock, which will be used in CUBIST as well and focuses on the scaling of datatype-properties between individuals and literals. It is discussed how the approaches of this paper and FcaBedrock can be combined.

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Saldías, María Paz, Pablo Cruz, Ian Silva, et al. "The Cytoplasmic Region of SARAF Reduces Triple-Negative Breast Cancer Metastasis through the Regulation of Store-Operated Calcium Entry." International Journal of Molecular Sciences 24, no. 6 (2023): 5306. http://dx.doi.org/10.3390/ijms24065306.

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Triple-negative breast cancer has a poor prognosis and is non-responsive to first-line therapies; hence, new therapeutic strategies are needed. Enhanced store-operated Ca2+ entry (SOCE) has been widely described as a contributing factor to tumorigenic behavior in several tumor types, particularly in breast cancer cells. SOCE-associated regulatory factor (SARAF) acts as an inhibitor of the SOCE response and, therefore, can be a potential antitumor factor. Herein, we generated a C-terminal SARAF fragment to evaluate the effect of overexpression of this peptide on the malignancy of triple-negative breast cancer cell lines. Using both in vitro and in vivo approaches, we showed that overexpression of the C-terminal SARAF fragment reduced proliferation, cell migration, and the invasion of murine and human breast cancer cells by decreasing the SOCE response. Our data suggest that regulating the activity of the SOCE response via SARAF activity might constitute the basis for further alternative therapeutic strategies for triple-negative breast cancer.

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Hitz-Gamper, Benedikt Simon, Oliver Neumann, and Matthias Stürmer. "Balancing control, usability and visibility of linked open government data to create public value." International Journal of Public Sector Management 32, no. 5 (2019): 451–66. http://dx.doi.org/10.1108/ijpsm-02-2018-0062.

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Purpose Linked data is a technical standard to structure complex information and relate independent sets of data. Recently, governments have started to use this technology for bridging separated data “(silos)” by launching linked open government data (LOGD) portals. The purpose of this paper is to explore the role of LOGD as a smart technology and strategy to create public value. This is achieved by enhancing the usability and visibility of open data provided by public organizations. Design/methodology/approach In this study, three different LOGD governance modes are deduced: public agencies could release linked data via a dedicated triple store, via a shared triple store or via an open knowledge base. Each of these modes has different effects on usability and visibility of open data. Selected case studies illustrate the actual use of these three governance modes. Findings According to this study, LOGD governance modes present a trade-off between retaining control over governmental data and potentially gaining public value by the increased use of open data by citizens. Originality/value This study provides recommendations for public sector organizations for the development of their data publishing strategy to balance control, usability and visibility considering also the growing popularity of open knowledge bases such as Wikidata.

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Dissertations / Theses on the topic "Triple-store"

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Albahli, Saleh Mohammad. "Ontology-based approaches to improve RDF Triple Store." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1456063330.

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Bartolucci, Filippo. "Sviluppo di un sistema di ricerca per AI4EU." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23033/.

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L’utilizzo di tecnologie basate su intelligenza artificiale crea nuove opportunità e questo ha portato a una grande crescita della domanda per questo tipo di applicazioni. AI4EU è un consorzio nato con lo scopo di creare la prima piattaforma europea on-demand dedicata all’intelligenza artificiale. La piattaforma è giovane, ma in crescita. A supportarla c’è il contributo di università ed enti europei e questo progetto di tesi si inserisce in questo contesto. Il catalogo di risorse offerto è vasto e include progetti di vario tipo, ma non ha un sistema che permetta di ricercarli. L’unico modo per conoscere queste risorse è scorrere il lungo elenco in cui sono raccolte. Questo è un ostacolo per la scoperta di questi strumenti da parte di quegli utenti-consumatori che hanno bisogno di soluzione per loro problemi e conoscono poco questo mondo. L’obiettivo di questa tesi è provare a sviluppare un sistema di ricerca che permetta ad un utente qualsiasi di navigare il catalogo AI4EU e trovare quello che riesce meglio a soddisfare le sue richieste. Faremo ciò in più passaggi. Per prima cosa dovremo raccogliere tutti i dati delle risorse disponibili, poi ci occuperemo della trasformazione di questi dati in un formato utile al nostro scopo, insieme al decidere come conservare e strutturare ricerche su di essi. Infine, valuteremo delle possibili soluzioni per il problema della scoperta e ricerca degli elementi del catalogo, presentando dei prototipi utili a testare tali soluzioni sull’audience target.

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Al-Ghezi, Ahmed Imad Aziz. "Universal Workload-based Graph Partitioning and Storage Adaption for Distributed RDF Stores." Doctoral thesis, 2020. http://hdl.handle.net/21.11130/00-1735-0000-0005-1537-6.

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Funes, Diego Leonardo. "Evaluation of relational database implementation of triple-stores." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-3713.

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The Resource Description Framework (RDF) is the logical data model of the Semantic Web. RDF encodes information as a directed graph using a set of labeled edges known formally as resource-property-value statements or, in common usage, as RDF triples or simply triples. Values recorded in RDF triple form are either Universal Resource Identifiers (URIs) or literals. The use of URIs allows links between distributed data sources, which enables a logical model of data as a graph spanning the Internet. SPARQL is a standard SQL-like query language on RDF triples. This report describes the translation of SPARQL queries to equivalent SQL queries operating on a relational representation of RDF triples, and the physical optimization of that representation using the IBM DB2 relational database management system. Performance was evaluated using the Berlin SPARQL Benchmark. The results show that the implementation can perform well on certain queries, but more work is required to improved overall performance and scalability.<br>text

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Books on the topic "Triple-store"

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Desmazery, Barney. Good Food : 101 Store-Cupboard Suppers: Triple-Tested Recipes. Ebury Publishing, 2011.

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Book chapters on the topic "Triple-store"

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Bigerl, Alexander, Felix Conrads, Charlotte Behning, Mohamed Ahmed Sherif, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. "Tentris – A Tensor-Based Triple Store." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62419-4_4.

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Dobreva, Veneta, Martina-Cezara Albutiu, Robert Brunel, Thomas Neumann, and Alfons Kemper. "Get Tracked: A Triple Store for RFID Traceability Data." In Advances in Databases and Information Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33074-2_13.

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Koroleva, Anna, Maria Anisimova, and Manuel Gil. "Towards Creating a New Triple Store for Literature-Based Discovery." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60470-7_5.

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Zhou, Yujiao, Yavor Nenov, Bernardo Cuenca Grau, and Ian Horrocks. "Complete Query Answering over Horn Ontologies Using a Triple Store." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41335-3_45.

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Savnik, Iztok, and Kiyoshi Nitta. "Algebra of RDF Graphs for Querying Large-Scale Distributed Triple-Store." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45507-5_1.

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Khan, Hashim, Manzoor Ali, Axel-Cyrille Ngonga Ngomo, and Muhammad Saleem. "When is the Peak Performance Reached? An Analysis of RDF Triple Stores." In Studies on the Semantic Web. IOS Press, 2021. http://dx.doi.org/10.3233/ssw210042.

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With significant growth in RDF datasets, application developers demand online availability of these datasets to meet the end users’ expectations. Various interfaces are available for querying RDF data using SPARQL query language. Studies show that SPARQL end-points may provide high query runtime performance at the cost of low availability. For example, it has been observed that only 32.2% of public endpoints have a monthly uptime of 99–100%. One possible reason for this low availability is the high workload experienced by these SPARQL endpoints. As complete query execution is performed at server side (i.e., SPARQL endpoint), this high query processing workload may result in performance degradation or even a service shutdown. We performed extensive experiments to show the query processing capabilities of well-known triple stores by using their SPARQL endpoints. In particular, we stressed these triple stores with multiple parallel requests from different querying agents. Our experiments revealed the maximum query processing capabilities of these triple stores after which point they lead to service shutdowns. We hope this analysis will help triple store developers to design workload-aware RDF engines to improve the availability of their public endpoints with high throughput.

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de la Torre Díez, Isabel, Roberto Hornero Sánchez, Miguel López Coronado, and María Isabel López Gálvez. "Electronic Health Records in a Tele-Ophthalmologic Application with Oracle 10g." In Biocomputation and Biomedical Informatics. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-768-3.ch005.

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Electronic health record (EHR) refers to the complete set of information that resides in electronic form and is related to the past, present and future health status. EHR standardization is a key characteristic to exchange healthcare information. Health Level Seven (HL7) and Digital Imaging and Communications in Medicine (DICOM) are intensively influencing this process. This chapter describes the development and experience of a web-based application, TeleOftalWeb 3.2, to store and exchange EHRs in ophthalmology. We apply HL7 Clinical Document Architecture (CDA) and DICOM standards. The application has been built on Java Servlet and Java Server Pages (JSP) technologies. EHRs are stored in the database Oracle 10g. Its architecture is triple-layered. Physicians can view, modify and store all type of medical images. For security, all data transmissions were carried over encrypted Internet connections such as Secure Sockets Layer (SSL) and HyperText Transfer Protocol over SSL (HTTPS). The application verifies the standards related to privacy and confidentiality. TeleOftalWeb 3.2 has been tested by from the University Institute of Applied Ophthalmobiology (IOBA), Spain. Nowadays, more than thousand health records have been introduced.

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Karalis, Nikolaos, Alexander Bigerl, Caglar Demir, Liss Heidrich, and Axel-Cyrille Ngonga Ngomo. "Instance Retrieval for Class Expression Learning Using SPARQL." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2025. https://doi.org/10.3233/faia250207.

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Over 100 billions RDF assertions are available on the Web. With this high availability of knowledge expressed in RDF knowledge bases comes the need to make them amenable to Web-scale machine learning. Knowledge graph embeddings cater for enabling the use of knowledge bases in neural settings. However, they do so by discarding the explicit semantics that underpin knowledge bases. In contrast, class expression learning makes explicit use of the semantics of RDF knowledge bases expressed in description logics. In contrast to neural approaches, this form of machine learning generates models that can be translated into natural language and can thus be understood by domain experts. However, most implementations of this paradigm fail to scale to the large knowledge bases found on the Web and in real-life applications. The corresponding literature suggests that one common bottleneck of these approaches is the instance retrieval function. We address this drawback by introducing an approach based on worst-case optimal multi-way joins for the evaluation of SPARQL queries that correspond to ALC class expressions. We implement our algorithm into a tensor-based triple store and use this triple store as backend to efficiently answer retrieval queries in ALC under the closed-world assumption. We evaluate the implementation of our approach on five benchmark datasets against four state-of-the-art graph storage solutions for RDF knowledge graphs. The results of our extensive evaluation show that our approach outperforms its competition across all datasets and that it is the only one able to scale to large datasets. With our approach, class expression learning can now be used on Web-scale knowledge bases.

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de la Torre Díez, Isabel, Roberto Hornero Sánchez, Miguel López Coronado, and María Isabel López Gálvez. "Electronic Health Records System Using HL7 and DICOM in Ophthalmology." In Biomedical Knowledge Management. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-266-4.ch004.

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Health Level Seven (HL7) and Digital Imaging and Communications in Medicine (DICOM) standards are strongly influencing Electronic Health Records (EHRs) standardization. In this chapter, we present a web-based application, TeleOftalWeb 3.2, to store and exchange EHRs in ophthalmology by using HL7 Clinical Document Architecture (CDA) and DICOM standards. EHRs are stored in the native Extensible Markup Language (XML) database, dbXML 2.0. Application architecture is triple-layered with two database servers (MySQL 5.0 and dbXML) and one application server (Tomcat 5.5.9). Physicians can access and retrieve patient medical information and all types of medical images through web browsers. For security, all data transmissions are carried over encrypted Internet connections such as the Secure Sockets Layer (SSL) and Hypertext Transfer Protocol over SSL (HTTPS). The application verifies the standards related to privacy and confidentiality. The application is being tested by physicians from the University Institute of Applied Ophthalmobiology (IOBA), Spain.

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Karalis, Nikolaos, Alexander Bigerl, and Axel-Cyrille Ngonga Ngomo. "Native Execution of GraphQL Queries over RDF Graphs Using Multi-Way Joins." In Knowledge Graphs: Semantics, Machine Learning, and Languages. IOS Press, 2023. http://dx.doi.org/10.3233/ssw230007.

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Purpose: The query language GraphQL has gained significant traction in recent years. In particular, it has recently gained the attention of the semantic web and graph database communities and is now often used as a means to query knowledge graphs. Most of the storage solutions that support GraphQL rely on a translation layer to map the said language to another query language that they support natively, for example SPARQL. Methodology: Our main innovation is a multi-way left-join algorithm inspired by worst-case optimal multi-way join algorithms. This novel algorithm enables the native execution of GraphQL queries over RDF knowledge graphs. We evaluate our approach in two settings using the LinGBM benchmark generator. Findings: The experimental results suggest that our solution outperforms the state-of-the-art graph storage solution for GraphQL with respect to both query runtimes and scalability. Value: Our solution is implemented in an open-sourced triple store, and is intended to advance the development of representation-agnostic storage solutions for knowledge graphs.

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Conference papers on the topic "Triple-store"

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Shen, Xuchuan, Lei Zou, M. Tamer Ozsu, et al. "A graph-based RDF triple store." In 2015 IEEE 31st International Conference on Data Engineering (ICDE). IEEE, 2015. http://dx.doi.org/10.1109/icde.2015.7113413.

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Zhou, Yujiao, Bernardo Cuenca Grau, Ian Horrocks, Zhe Wu, and Jay Banerjee. "Making the most of your triple store." In the 22nd international conference. ACM Press, 2013. http://dx.doi.org/10.1145/2488388.2488525.

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Liu, Xiufeng, Christian Thomsen, and Torben Bach Pedersen. "3XL: An Efficient DBMS-Based Triple-Store." In 2012 23rd International Workshop on Database and Expert Systems Applications (DEXA). IEEE, 2012. http://dx.doi.org/10.1109/dexa.2012.7.

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Konstantopoulos, Stasinos, and Phil Archer. "POWDER and the multi million-triple store." In the International Workshop. ACM Press, 2011. http://dx.doi.org/10.1145/1999299.1999301.

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Molon, João Toss, João Luis Tavares Da Silva, Tiago Thompsen Primo, and Elisa Boff. "Armazenando registros de colaboração utilizando triple store." In Worshops do II Congresso Brasileiro de Informática na Educação. Sociedade Brasileira de Computação, 2013. http://dx.doi.org/10.5753/cbie.wcbie.2013.551.

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Luberg, Ago, Tanel Tammet, and Priit Jarv. "Extended Triple Store Structure Used in Recommender System." In 2011 22nd International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2011. http://dx.doi.org/10.1109/dexa.2011.32.

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"A FEDERATED TRIPLE STORE ARCHITECTURE FOR HEALTHCARE APPLICATIONS." In 12th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002901102070214.

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Hu, Chunming, Xixu Wang, Renyu Yang, and Tianyu Wo. "ScalaRDF: A Distributed, Elastic and Scalable In-Memory RDF Triple Store." In 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2016. http://dx.doi.org/10.1109/icpads.2016.0084.

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Gu, Rong, Wei Hu, and Yihua Huang. "Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability." In 2014 IEEE International Conference on Big Data (Big Data). IEEE, 2014. http://dx.doi.org/10.1109/bigdata.2014.7004274.

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Bae, Minho, Hosik Park, Gibeom Lee, Junho Eum, and Sangyoon Oh. "Scalable RDF triple store using summary of hashed information and Bit comparison." In 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE, 2015. http://dx.doi.org/10.1109/pacrim.2015.7334828.

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Reports on the topic "Triple-store"

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González-Montaña, Luis Antonio. Semantic-based methods for morphological descriptions: An applied example for Neotropical species of genus Lepidocyrtus Bourlet, 1839 (Collembola: Entomobryidae). Verlag der Österreichischen Akademie der Wissenschaften, 2021. http://dx.doi.org/10.1553/biosystecol.1.e71620.

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The production of semantic annotations has gained renewed attention due to the development of anatomical ontologies and the documentation of morphological data. Two methods are proposed in this production, differing in their methodological and philosophical approaches: class-based method and instance-based method. The first, the semantic annotations are established as class expressions, while in the second, the annotations incorporate individuals. An empirical evaluation of the above methods was applied in the morphological description of Neotropical species of the genus Lepidocyrtus (Collembola: Entomobryidae: Lepidocyrtinae). The semantic annotations are expressed as RDF triple, which is a language most flexible than the Entity-Quality syntax used commonly in the description of phenotypes. The morphological descriptions were built in Protégé 5.4.0 and stored in an RDF store created with Fuseki Jena. The semantic annotations based on RDF triple increase the interoperability and integration of data from diverse sources, e.g., museum data. However, computational challenges are present, which are related with the development of semi-automatic methods for the generation of RDF triple, interchanging between texts and RDF triple, and the access by non-expert users.

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