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Journal articles on the topic 'RDF-To-Text'

Author: Grafiati

Published: 4 May 2024

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1

Chellali, Mustapha, and Nader Jafari Rad. "Trees with independent Roman domination number twice the independent domination number." Discrete Mathematics, Algorithms and Applications 07, no. 04 (2015): 1550048. http://dx.doi.org/10.1142/s1793830915500482.

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A Roman dominating function (RDF) on a graph [Formula: see text] is a function [Formula: see text] satisfying the condition that every vertex [Formula: see text] for which [Formula: see text] is adjacent to at least one vertex [Formula: see text] for which [Formula: see text]. The weight of a RDF [Formula: see text] is the value [Formula: see text]. The Roman domination number, [Formula: see text], of [Formula: see text] is the minimum weight of a RDF on [Formula: see text]. An RDF [Formula: see text] is called an independent Roman dominating function (IRDF) if the set [Formula: see text] is a

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Gryaznov, Yevgeny, and Pavel Rusakov. "Analysis of RDF Syntaxes for Semantic Web Development." Applied Computer Systems 18, no. 1 (2015): 33–42. http://dx.doi.org/10.1515/acss-2015-0017.

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Abstract In this paper authors perform a research on possibilities of RDF (Resource Description Framework) syntaxes usage for information representation in Semantic Web. It is described why pure XML cannot be effectively used for this purpose, and how RDF framework solves this problem. Information is being represented in a form of a directed graph. RDF is only an abstract formal model for information representation and side tools are required in order to write down that information. Such tools are RDF syntaxes – concrete text or binary formats, which prescribe rules for RDF data serialization.

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Meddah, Nacéra, and Mustapha Chellali. "Roman domination and 2-independence in trees." Discrete Mathematics, Algorithms and Applications 09, no. 02 (2017): 1750023. http://dx.doi.org/10.1142/s1793830917500239.

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A Roman dominating function (RDF) on a graph [Formula: see text] is a function [Formula: see text] satisfying the condition that every vertex [Formula: see text] with [Formula: see text] is adjacent to at least one vertex [Formula: see text] of [Formula: see text] for which [Formula: see text]. The weight of a RDF is the sum [Formula: see text], and the minimum weight of a RDF [Formula: see text] is the Roman domination number [Formula: see text]. A subset [Formula: see text] of [Formula: see text] is a [Formula: see text]-independent set of [Formula: see text] if every vertex of [Formula: see

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Samodivkin, Vladimir. "Roman domination in graphs: The class ℛUV R". Discrete Mathematics, Algorithms and Applications 08, № 03 (2016): 1650049. http://dx.doi.org/10.1142/s179383091650049x.

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For a graph [Formula: see text], a Roman dominating function (RDF) [Formula: see text] has the property that every vertex [Formula: see text] with [Formula: see text] has a neighbor [Formula: see text] with [Formula: see text]. The weight of a RDF [Formula: see text] is the sum [Formula: see text], and the minimum weight of a RDF on [Formula: see text] is the Roman domination number [Formula: see text] of [Formula: see text]. The Roman bondage number [Formula: see text] of [Formula: see text] is the minimum cardinality of all sets [Formula: see text] for which [Formula: see text]. A graph [For

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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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Khoeilar, R., and S. M. Sheikholeslami. "Rainbow reinforcement numbers in digraphs." Asian-European Journal of Mathematics 10, no. 01 (2017): 1750004. http://dx.doi.org/10.1142/s1793557117500048.

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Let [Formula: see text] be a finite and simple digraph. A [Formula: see text]-rainbow dominating function ([Formula: see text]RDF) of a digraph [Formula: see text] is a function [Formula: see text] from the vertex set [Formula: see text] to the set of all subsets of the set [Formula: see text] such that for any vertex [Formula: see text] with [Formula: see text] the condition [Formula: see text] is fulfilled, where [Formula: see text] is the set of in-neighbors of [Formula: see text]. The weight of a [Formula: see text]RDF [Formula: see text] is the value [Formula: see text]. The [Formula: see

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Dosso, Dennis, and Gianmaria Silvello. "Search Text to Retrieve Graphs: A Scalable RDF Keyword-Based Search System." IEEE Access 8 (2020): 14089–111. http://dx.doi.org/10.1109/access.2020.2966823.

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Dong, Ngan T., and Lawrence B. Holder. "Natural Language Generation from Graphs." International Journal of Semantic Computing 08, no. 03 (2014): 335–84. http://dx.doi.org/10.1142/s1793351x14500068.

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The Resource Description Framework (RDF) is the primary language to describe information on the Semantic Web. The deployment of semantic web search from Google and Microsoft, the Linked Open Data Community project along with the announcement of schema.org by Yahoo, Bing and Google have significantly fostered the generation of data available in RDF format. Yet the RDF is a computer representation of data and thus is hard for the non-expert user to understand. We propose a Natural Language Generation (NLG) engine to generate English text from a small RDF graph. The Natural Language Generation fr

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Devi, Runumi, Deepti Mehrotra, and Hajer Baazaoui-Zghal. "RDF Model Generation for Unstructured Dengue Patients' Clinical and Pathological Data." International Journal of Information System Modeling and Design 10, no. 4 (2019): 71–89. http://dx.doi.org/10.4018/ijismd.2019100104.

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The automatic extraction of triplets from unstructured patient records and transforming them into resource description framework (RDF) models has remained a huge challenge so far, and would provide significant benefit to potential applications like knowledge discovery, machine interoperability, and ontology design in the health care domain. This article describes an approach that extracts semantics (triplets) from dengue patient case-sheets and clinical reports and transforms them into an RDF model. A Text2Ontology framework is used for extracting relations from text and was found to have limi

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Mountantonakis, Michalis, and Yannis Tzitzikas. "Linking Entities from Text to Hundreds of RDF Datasets for Enabling Large Scale Entity Enrichment." Knowledge 2, no. 1 (2021): 1–25. http://dx.doi.org/10.3390/knowledge2010001.

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There is a high increase in approaches that receive as input a text and perform named entity recognition (or extraction) for linking the recognized entities of the given text to RDF Knowledge Bases (or datasets). In this way, it is feasible to retrieve more information for these entities, which can be of primary importance for several tasks, e.g., for facilitating manual annotation, hyperlink creation, content enrichment, for improving data veracity and others. However, current approaches link the extracted entities to one or few knowledge bases, therefore, it is not feasible to retrieve the U

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Dung, Nguyen Trong, Nguyen Chinh Cuong, and Duong Quoc Van. "Molecular dynamics studies the effect of structure MgSiO3 bulk on formation process geology of the Earth." International Journal of Computational Materials Science and Engineering 08, no. 03 (2019): 1950011. http://dx.doi.org/10.1142/s2047684119500118.

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The paper studies the effect of temperature ([Formula: see text]), ([Formula: see text], 3200, 4000, 5000, 6000, 7000[Formula: see text]K) at pressure [Formula: see text][Formula: see text]GPa; pressure ([Formula: see text]), ([Formula: see text], 100, 200, 300, 350, 400[Formula: see text]GPa) at [Formula: see text][Formula: see text]K and thermal annealing time ([Formula: see text]), [Formula: see text][Formula: see text]ps (after 105 steps) at [Formula: see text][Formula: see text]K, [Formula: see text][Formula: see text]Gpa) on the structure of MgSiO3 bulk 3000 atoms by Molecular Dynamics (

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Narayana Bhat, Talapady, and John Barkley. "Development of a use Case for Chemical Resource Description Framework for Acquired Immune Deficiency Syndrome Drug Discovery." Open Bioinformatics Journal 2, no. 1 (2008): 20–27. http://dx.doi.org/10.2174/1875036200802010020.

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There is considerable interest in RDF (Resource Description Framework) as a data representation standard for the growing information technology needs of drug discovery. Though several efforts towards this goal have been reported, most of the reported efforts have focused on text-based data. Structural data of chemicals are a key component of drug discovery and molecular images may offer certain advantages over text-based representations for them. Here we discuss the steps that we used to develop and search chemical Resource Description Framework (RDF) using text and image for structures of rel

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Katayama, Toshiaki, Shuichi Kawashima, Gos Micklem, et al. "BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services." F1000Research 8 (September 23, 2019): 1677. http://dx.doi.org/10.12688/f1000research.18238.1.

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Publishing databases in the Resource Description Framework (RDF) model is becoming widely accepted to maximize the syntactic and semantic interoperability of open data in life sciences. Here we report advancements made in the 6th and 7th annual BioHackathons which were held in Tokyo and Miyagi respectively. This review consists of two major sections covering: 1) improvement and utilization of RDF data in various domains of the life sciences and 2) meta-data about these RDF data, the resources that store them, and the service quality of SPARQL Protocol and RDF Query Language (SPARQL) endpoints.

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Zimina, Elizaveta, Kalervo Järvelin, Jaakko Peltonen, Aarne Ranta, Kostas Stefanidis, and Jyrki Nummenmaa. "Linguistic summarisation of multiple entities in RDF graphs." Applied Computing and Intelligence 4, no. 1 (2024): 1–18. http://dx.doi.org/10.3934/aci.2024001.

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<abstract><p>Methods for producing summaries from structured data have gained interest due to the huge volume of available data in the Web. Simultaneously, there have been advances in natural language generation from Resource Description Framework (RDF) data. However, no efforts have been made to generate natural language summaries for groups of multiple RDF entities. This paper describes the first algorithm for summarising the information of a set of RDF entities in the form of human-readable text. The paper also proposes an experimental design for the evaluation of the summaries

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AYDIN, HAKAN, and FURKAN BOSTANCI. "IMPROVEMENT OF WEAR RESISTANCE OF SHREDDER BLADES USED IN A REFUSE-DERIVED FUEL (RDF) FACILITY BY PLASMA NITRIDING." Surface Review and Letters 27, no. 04 (2019): 1950131. http://dx.doi.org/10.1142/s0218625x19501312.

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Refuse-derived fuel (RDF) is a kind of renewable energy source to produce energy for replacement of fossil fuels. Aggressive working conditions in RDF facilities cause the shredder blades to wear out quickly. So, the purpose of this paper was to study the effect of plasma-nitriding process on wear resistance of shredder blades made of AISI D2 tool steel in the service condition of RDF facility. Shredder blades were commercially available from two different suppliers (A and B suppliers). These hardened shredder blades were plasma-nitrided in the mixed nitrogen and hydrogen atmosphere at a volum

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Tan, Guoyu, Jiaxin Zheng, and Feng Pan. "Molecular dynamics study on the microstructure of CH3COOLi solutions with different concentrations." Functional Materials Letters 11, no. 04 (2018): 1850075. http://dx.doi.org/10.1142/s1793604718500753.

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Due to the toxic and flammable problems of organic electrolytes, the study on concentrated aqueous system for lithium-ion batteries (LIBs) has attracted wide attention. In this paper, by molecular dynamics simulations, the CH3COOLi aqueous system is considered as the potential concentrated aqueous system for LIBs, and all the variations of the microstructure of the aqueous system from dilution to concentration are analyzed. The details of microstructure are discussed, especially the interactions concerning anions. Among them, the first peak of RDF (radial distribution function) between the Li[

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Sari, Bengisu, Humberto Batiz, Chunsong Zhao, Ali Javey, D. C. Chrzan, and Mary C. Scott. "Structural heterogeneity in non-crystalline Te_x Se1−x thin films." Applied Physics Letters 121, no. 1 (2022): 012101. http://dx.doi.org/10.1063/5.0094600.

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Rapid crystallization behavior of amorphous Te x[Formula: see text] thin films limits the use of these alloys as coatings and in optoelectronic devices. Understanding the short- and medium-range ordering of the amorphous structure and the fundamental physics governing the crystallization of the films is crucial. Although the lack of long range crystalline order restricts the characterization of the amorphous films, electron microscopy offers a way to extract information about the nanoscale ordering. In this paper, the local ordering of amorphous Te x[Formula: see text] thin films with [Formula

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Petersen, Niklas, Alexandra Similea, Christoph Lange, and Steffen Lohmann. "TurtleEditor: A Web-Based RDF Editor to Support Distributed Ontology Development on Repository Hosting Platforms." International Journal of Semantic Computing 11, no. 03 (2017): 311–23. http://dx.doi.org/10.1142/s1793351x17400128.

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Ontologies are increasingly being developed on web-based repository hosting platforms such as GitHub. Accordingly, there is a demand for ontology editors which can be easily connected to the hosted repositories. TurtleEditor is a web-based RDF editor that provides this capability and supports the distributed development of ontologies on repository hosting platforms. It offers features such as syntax checking, syntax highlighting, and auto completion, along with a SPARQL endpoint to query the ontology. Furthermore, TurtleEditor integrates a visual editing view that allows for the graphical mani

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Fang, Hong. "pSPARQL: A Querying Language for Probabilistic RDF Data." Complexity 2019 (March 26, 2019): 1–7. http://dx.doi.org/10.1155/2019/8258197.

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More and more linked data (taken as knowledge) can be automatically generated from nonstructured data such as text and image via learning, which are often uncertain in practice. On the other hand, most of the existing approaches to processing linked data are mainly designed for certain data. It becomes more and more important to process uncertain linked data in theoretical aspect. In this paper, we present a querying language framework for probabilistic RDF data (an important uncertain linked data), where each triple has a probability, called pSRARQL, built on SPARQL, recommended by W3C as a q

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Vainikainen, Sari, Antti Nummiaho, Asta Bäck, and Timo Laakko. "Collecting and Sharing Observations with Semantic Support." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (2009): 338–41. http://dx.doi.org/10.1609/icwsm.v3i1.13968.

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We present two applications that can be used to store and share ideas, bookmarks and observations from the web and on the move. These applications utilize semantic web technologies both to support users in tagging and to store and integrate data. The core of the system is a social bookmarking application, Tilkut, complemented with a mobile application TagIt, which can be used to send photo and text entries from a mobile device. Tag suggestions are given from external ontologies, and from earlier tags. TagIt stores its data in an RDF database, which is also used in integrating these applicat

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Houssein, Essam H., Nahed Ibrahem, Alaa M. Zaki, and Awny Sayed. "Semantic Protocol and Resource Description Framework Query Language: A Comprehensive Review." Mathematics 10, no. 17 (2022): 3203. http://dx.doi.org/10.3390/math10173203.

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This review presents various perspectives on converting user keywords into a formal query. Without understanding the dataset’s underlying structure, how can a user input a text-based query and then convert this text into semantic protocol and resource description framework query language (SPARQL) that deals with the resource description framework (RDF) knowledge base? The user may not know the structure and syntax of SPARQL, a formal query language and a sophisticated tool for the semantic web (SEW) and its vast and growing collection of interconnected open data repositories. As a result, this

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SCHLICHT, ANNE, and HEINER STUCKENSCHMIDT. "PEER-TO-PEER REASONING FOR INTERLINKED ONTOLOGIES." International Journal of Semantic Computing 04, no. 01 (2010): 27–58. http://dx.doi.org/10.1142/s1793351x10000948.

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The Semantic Web is commonly perceived as a web of partially-interlinked machine readable data. This data is inherently distributed and resembles the structure of the web in terms of resources being provided by different parties at different physical locations. A number of infrastructures for storing and querying distributed semantic web data, primarily encoded in RDF have been developed. While there are first attempts for integrating RDF Schema reasoning into distributed query processing, almost all the work on description logic reasoning as a basis for implementing inference in the Web Ontol

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Perera, Rivindu, Parma Nand, and Gisela Klette. "RealText-lex: A Lexicalization Framework for RDF Triples." Prague Bulletin of Mathematical Linguistics 106, no. 1 (2016): 45–68. http://dx.doi.org/10.1515/pralin-2016-0011.

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Abstract The online era has made available almost cosmic amounts of information in the public and semi-restricted domains, prompting development of corresponding host of technologies to organize and navigate this information. One of these developing technologies deals with encoding information from free form natural language into a structured form as RDF triples. This representation enables machine processing of the data, however the processed information can not be directly converted back to human language. This has created a need to be able to lexicalize machine processed data existing as tr

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KUMAR, M. KAMAL, and L. SUDERSHAN REDDY. "INVERSE ROMAN DOMINATION IN GRAPHS." Discrete Mathematics, Algorithms and Applications 05, no. 03 (2013): 1350011. http://dx.doi.org/10.1142/s1793830913500110.

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Motivated by the article in Scientific American [7], Michael A Henning and Stephen T Hedetniemi explored the strategy of defending the Roman Empire. Cockayne defined Roman dominating function (RDF) on a Graph G = (V, E) to be a function f : V → {0, 1, 2} satisfying the condition that every vertex u for which f(u) = 0 is adjacent to at least one vertex v for which f(v) = 2. For a real valued function f : V → R the weight of f is w(f) = ∑v∈V f(v). The Roman domination number (RDN) denoted by γR(G) is the minimum weight among all RDF in G. If V – D contains a roman dominating function f1 : V → {0

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Matsson, Arild, and Olov Kriström. "Building and Serving the Queerlit Thesaurus as Linked Open Data." Digital Humanities in the Nordic and Baltic Countries Publications 5, no. 1 (2023): 29–39. http://dx.doi.org/10.5617/dhnbpub.10648.

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This paper describes the creation of the Queer Literature Indexing Thesaurus (QLIT) as well as the digital infrastructure supporting the workflow for editing and publishing it. The purpose of QLIT is to adequately catalogue Swedish fiction with LGBTQI themes. It is continually edited in plain-text RDF and automatically processed for correctness and storage. Finally, it is published online as Linked Open Data and used with external systems. The technical approach relies on scripts and applications developed ad hoc, rather than existing solutions. Code is available on https://github.com/gu-gridh

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Goncharov, M. V., and K. A. Kolosov. "On interoperability of metadata within RNPLS&T’s Single Open Information Archive." Scientific and Technical Libraries, no. 10 (November 12, 2021): 45–62. http://dx.doi.org/10.33186/1027-3689-2021-10-45-62.

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Russian National Public Library for Science and Technology has been developing the Single Open Information Archive (UOIA) to merge all digital full-text resources created or acquired by the Library. The authors examine the issues of interoperability when exchanging metadata between UOIA built on library automation software and open archives using OAI-PMH technology for metadata acquisition. Interoperability in information exchange between different ALIS is provided, for example, through applying SRU/SRW protocol and metadata scheme, while metadata exchange between OA repositories is provided m

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Lakhal, L., Y. Brunet, and T. Kanit. "Evaluation of second-order correlations adjusted with simulated annealing on physical properties of unidirectional nonoverlapping fiber-reinforced materials (UD Composites)." International Journal of Modern Physics C 30, no. 02n03 (2019): 1950017. http://dx.doi.org/10.1142/s0129183119500177.

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The focus of this paper is on aligned fiber-reinforced composites, where fiber centers were randomly distributed in their cross-sections. The volume fractions of fibers were [Formula: see text]% and [Formula: see text]%. Samples were built with the help of the simulated annealing technique according to the chosen Radial Distribution Functions (RDFs). For each sample, the fields of local stresses and heat fluxes were simulated by finite element method. Then, homogenization by volume averaging was performed in order to investigate both the effective mechanical and thermal properties. The effect

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Penev, Lyubomir, Mariya Dimitrova, Viktor Senderov, et al. "OpenBiodiv: A Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science." Publications 7, no. 2 (2019): 38. http://dx.doi.org/10.3390/publications7020038.

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Hundreds of years of biodiversity research have resulted in the accumulation of a substantial pool of communal knowledge; however, most of it is stored in silos isolated from each other, such as published articles or monographs. The need for a system to store and manage collective biodiversity knowledge in a community-agreed and interoperable open format has evolved into the concept of the Open Biodiversity Knowledge Management System (OBKMS). This paper presents OpenBiodiv: An OBKMS that utilizes semantic publishing workflows, text and data mining, common standards, ontology modelling and gra

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Rusek, Marian, Waldemar Karwowski, and Jakub Maguza. "INTEGRATION OF QUERIES TO HETEROGENEOUS DATA SOURCES USING LINQ TECHNOLOGY." Information System in Management 7, no. 3 (2018): 180–89. http://dx.doi.org/10.22630/isim.2018.7.3.16.

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Nowadays, the data are available in a variety of formats such as relational data-base tables, xml files, rdf files or simply text files. Database systems have their own query languages and tools for the manipulation of data. On the other hand, most of todays applications are created in languages based on the object-oriented paradigm. From the level of the programming language it is important to use different sources of data in a uniform manner. The paper discusses the elements of the various query languages such as SQL XQuery or SPARQL. And then shows the capabilities of LINQ and its role in t

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Tuan, Tran Quoc, and Nguyen Trong Dung. "Effect of heating rate, impurity concentration of Cu, atomic number, temperatures, time annealing temperature on the structure, crystallization temperature and crystallization process of Ni1−xCux bulk; x = 0.1, 0.3, 0.5, 0.7." International Journal of Modern Physics B 32, no. 26 (2018): 1830009. http://dx.doi.org/10.1142/s0217979218300098.

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This paper studies the effects of heating rate 4 × 10[Formula: see text] K/s, 4 × 10[Formula: see text] K/s, 4 × 10[Formula: see text] K/s; impurity concentration of Cu on Ni[Formula: see text]Cu[Formula: see text] bulk with x = 0.1, x = 0.3, x = 0.5, x = 0.7; atom number (N), N = 4000 atoms, 5324 atoms, 6912 atoms, 8788 atoms at temperatures (T), T = 300 K; N = 6912 atoms at T = 300 K, 400 K, 500 K, 600 K, 700 K, 800 K; N = 6912 atoms at T = 600 K after time annealing temperature (t), t = 500 ps on the structure, crystallization temperature and crystallization process of Ni[Formula: see text]

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ZHOU, SUQIN, DENGHAO LI, WEI ZHOU, XUEHAI JU, and DINGYUN JIANG. "DIFFUSION OF NH2NO2 ON Al (111) SURFACE: MOLECULAR DYNAMICS STUDY." Surface Review and Letters 23, no. 06 (2016): 1650048. http://dx.doi.org/10.1142/s0218625x16500487.

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The diffusion of NH2NO2 molecules on the Al (111) surface has been investigated by the molecular dynamics (MD) method. The influence of temperature and pressure on their diffusion was studied. The binding energies decrease obviously with the temperature increasing because non-bonding interaction between Al atoms and NH2NO2 molecules weakens. As the temperature increases, the value of the first peak for radial distribution function (RDF) of Al–N and Al–O bond decreases. Diffusion rates increase with temperature increasing whereas they first decrease, then increase with pressure increasing below

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Wu, Chunlei, Shuhai Zhang, Fude Ren, Ruijun Gou, and Gang Han. "Theoretical insight into the cocrystal explosive of 2,4,6,8,10,12-hexanitrohexaazaisowurtzitane (CL-20)/1-Methyl-4,5-dinitro-1H-imidazole (MDNI)." Journal of Theoretical and Computational Chemistry 16, no. 07 (2017): 1750061. http://dx.doi.org/10.1142/s0219633617500614.

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Cocrystal explosive is getting more and more attention in high energy density material field. Different molar ratios of 2,4,6,8,10,12-hexanitrohexaazaisowurtzitane (CL-20)/1-Methyl-4,5-dinitro-1H-imidazole (MDNI) cocrystal were studied by molecular dynamics (MD) simulation and quantum-chemical density functional theory (DFT) calculation. Binding energy of CL-20/MDNI cocrystal and radial distribution function (RDF) were used to estimate the interaction. Mechanical properties were calculated to predict the elasticity and ductility. The length and bond dissociation energy of trigger bond, surface

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Park, Eun G., and Matthew Milner. "Building Social Interactions as a Creation of Networks in an RDF Repository." Journal of Arts and Humanities 7, no. 2 (2018): 59. http://dx.doi.org/10.18533/journal.v7i2.1342.

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<p>Humanities scholars are not likely to be thinking about their research findings as data, and the predominant models of organizing documents remain generally archival or bibliographic in nature for text-based documents. Although the linked data movement has greatly influenced information organization and search queries on the Web, in comparison to other fields, the adoption of the linked data approach to humanities collections is unequally paced. This study intends to explain how people or actors make social interactions, and how social interactions are formed in a type of network thro

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Sateli, Bahar, Felicitas Löffler, Birgitta König-Ries, and René Witte. "ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles." PeerJ Computer Science 3 (July 3, 2017): e121. http://dx.doi.org/10.7717/peerj-cs.121.

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Motivation Scientists increasingly rely on intelligent information systems to help them in their daily tasks, in particular for managing research objects, like publications or datasets. The relatively young research field of Semantic Publishing has been addressing the question how scientific applications can be improved through semantically rich representations of research objects, in order to facilitate their discovery and re-use. To complement the efforts in this area, we propose an automatic workflow to construct semantic user profiles of scholars, so that scholarly applications, like digit

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Matsumura, Y., N. Mihara, Y. Kawakami, et al. "Development of a System that Generates Structured Reports for Chest X-ray Radiography." Methods of Information in Medicine 49, no. 04 (2010): 360–70. http://dx.doi.org/10.3414/me09-01-0014.

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Summary Objectives: Radiology reports are typically made in narrative form; this is a barrier to the implementation of advanced applications for data analysis or a decision support. We developed a system that generates structured reports for chest x-ray radiography. Methods: Based on analyzing existing reports, we determined the fundamental sentence structure of findings as compositions of procedure, region, finding, and diagnosis. We categorized the observation objects into lung, mediastinum, bone, soft tissue, and pleura and chest wall. The terms of region, finding, and diagnosis were associ

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Binding, Ceri, Douglas Tudhope, and Andreas Vlachidis. "A study of semantic integration across archaeological data and reports in different languages." Journal of Information Science 45, no. 3 (2018): 364–86. http://dx.doi.org/10.1177/0165551518789874.

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This study investigates the semantic integration of data extracted from archaeological datasets with information extracted via natural language processing (NLP) across different languages. The investigation follows a broad theme relating to wooden objects and their dating via dendrochronological techniques, including types of wooden material, samples taken and wooden objects including shipwrecks. The outcomes are an integrated RDF dataset coupled with an associated interactive research demonstrator query builder application. The semantic framework combines the CIDOC Conceptual Reference Model

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Yu, Feiyan, Erik Champion, and David McMeekin. "Exploring Historical Australian Expeditions with Time-Layered Cultural Maps." ISPRS International Journal of Geo-Information 12, no. 3 (2023): 104. http://dx.doi.org/10.3390/ijgi12030104.

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The Australian Time Layered Cultural Map platform was created to help digital humanities scholars investigate how online geospatial tools could provide exemplars to their humanities colleagues on how historical collections and cultural data could be extended and re-examined with geospatial tools. The project discussed here investigated how Recogito/TMT could effectively extract spatial and temporal data from pure text-based historical information and generate time-layered interactive maps of that spatio-temporal data using accessible and user-friendly software. The target audience was humaniti

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SAUDE, MOHAMMAD J. I. A., and BASHIR I. MORSHED. "ELECTROSTATICS STUDY OF A SINGLE-STRANDED DNA: A PROSPECTIVE FOR SINGLE MOLECULE SEQUENCING." Biophysical Reviews and Letters 09, no. 01 (2014): 105–14. http://dx.doi.org/10.1142/s1793048013500100.

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Single molecule DNA sequencing requires new approaches to identify nucleotide bases. Using molecular dynamics simulations, we investigate the intrinsic electrostatics of single-stranded DNA by solving the nonlinear Poisson–Boltzmann equation. The results show variations of the molecular electrostatic potential (MEP) within 3 nm from the center of the sugar backbone, with suitably differentiable variations at 1.4 nm distance. MEP variations among four nucleotide bases are the most significant near ~ 33.7° and ~ 326.3° angular orientation, while the influences of the neighboring bases on MEPs be

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Gradmann, Stefan. "From containers to content to context." Journal of Documentation 70, no. 2 (2014): 241–60. http://dx.doi.org/10.1108/jd-05-2013-0058.

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Purpose – The aim of this paper is to reposition the research library in the context of the changing information and knowledge architecture at the end of the “Gutenberg Parenthesis” and as part of the rapidly emerging “semantic” environment of the Linked Open Data paradigm. Understanding this process requires a good understanding of the evolution of the “document” notion in the passage from print based culture to the distributed hypertextual and RDF based information architecture of the WWW. Design/methodology/approach – These objectives are reached using literature study and a descriptive his

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Vileiniskis, Tomas, and Rita Butkiene. "Applying Semantic Role Labeling and Spreading Activation Techniques for Semantic Information Retrieval." Information Technology And Control 49, no. 2 (2020): 275–88. http://dx.doi.org/10.5755/j01.itc.49.2.24985.

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Semantically enhanced information retrieval (IR) is aimed at improving classical IR methods and goes way beyond plain Boolean keyword matching with the main goal of better serving implicit and ambiguous information needs. As a de-facto pre-requisite to semantic IR, different information extraction (IE) techniques are used to mine unstructured text for underlying knowledge. In this paper we present a method that combines both IE and IR to enable semantic search in natural language texts. First, we apply semantic role labeling (SRL) to automatically extract event-oriented information found in na

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Podobriy, Aleksandr N., Vadim V. Timirzyanov, and Andrey A. Pertsev. "THE ARCHITECTURE OF KNOWLEDGE BASE CONSTRUCTION FOR A DESIGN ORGANIZATION." Автоматизация процессов управления 4, no. 66 (2021): 28–38. http://dx.doi.org/10.35752/1991-2927-2021-4-66-28-38.

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The article presents the results of software package development to create a knowledge base for a design organization. The definition of the concept of knowledge is presented on the basis of existing definitions in open sources. The architecture of the software package is described, its main modules are listed, as well as third-party software systems used in the development of the software package. The article considers the organization of data storage subsystem of the software complex and describes the data model of this subsystem. An approach to organize a repository of the software package

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Oshita, Kazuki, Masaru Tomita, and Kazuharu Arakawa. "G-Links: a gene-centric link acquisition service." F1000Research 3 (November 18, 2015): 285. http://dx.doi.org/10.12688/f1000research.5754.2.

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With the availability of numerous curated databases, researchers are now able to efficiently use the multitude of biological data by integrating these resources via hyperlinks and cross-references. A large proportion of bioinformatics research tasks, however, may include labor-intensive tasks such as fetching, parsing, and merging datasets and functional annotations from distributed multi-domain databases. This data integration issue is one of the key challenges in bioinformatics. We aim to provide an identifier conversion and data aggregation system as a part of solution to solve this problem

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Oshita, Kazuki, Masaru Tomita, and Kazuharu Arakawa. "G-Links: a gene-centric link acquisition service." F1000Research 3 (November 19, 2014): 285. http://dx.doi.org/10.12688/f1000research.5754.1.

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With the availability of numerous curated databases, researchers are now able to efficiently use the multitude of biological data by integrating these resources via hyperlinks and cross-references. A large proportion of bioinformatics research tasks, however, may include labor-intensive tasks such as fetching, parsing, and merging datasets and functional annotations from distributed multi-domain databases. This data integration issue is one of the key challenges in bioinformatics. We aim to solve this problem with a service named G-Links, 1) by gathering resource URI information from 130 datab

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Ghazal, Rubina, Ahmad Malik, Basit Raza, Nauman Qadeer, Nafees Qamar, and Sajal Bhatia. "Agent-Based Semantic Role Mining for Intelligent Access Control in Multi-Domain Collaborative Applications of Smart Cities." Sensors 21, no. 13 (2021): 4253. http://dx.doi.org/10.3390/s21134253.

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Significance and popularity of Role-Based Access Control (RBAC) is inevitable; however, its application is highly challenging in multi-domain collaborative smart city environments. The reason is its limitations in adapting the dynamically changing information of users, tasks, access policies and resources in such applications. It also does not incorporate semantically meaningful business roles, which could have a diverse impact upon access decisions in such multi-domain collaborative business environments. We propose an Intelligent Role-based Access Control (I-RBAC) model that uses intelligent

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Seydou, Sangare, Konan Marcellin Brou, Kouame Appoh, and Kouadio Prosper Kimou. "HYBRID MODEL FOR THE CLASSIFICATION OF QUESTIONS EXPRESSED IN NATURAL LANGUAGE." International Journal of Advanced Research 10, no. 09 (2022): 202–12. http://dx.doi.org/10.21474/ijar01/15343.

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Question-answering systems rely on an unstructured text corpora or a knowledge base to answer user questions. Most of these systems store knowledge in multiple repositories including RDF. To access this type of repository, SPARQL is the most convenient formal language. It is a complex language, it is therefore necessary to transform the questions expressed in natural language by users into a SPARQL query. As this language is complex, several approaches have been proposed to transform the questions expressed in natural language by users into a SPARQL query.However, the identification of the que

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Gao, Mingxia, Jianguo Lu, and Furong Chen. "Medical Knowledge Graph Completion Based on Word Embeddings." Information 13, no. 4 (2022): 205. http://dx.doi.org/10.3390/info13040205.

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The aim of Medical Knowledge Graph Completion is to automatically predict one of three parts (head entity, relationship, and tail entity) in RDF triples from medical data, mainly text data. Following their introduction, the use of pretrained language models, such as Word2vec, BERT, and XLNET, to complete Medical Knowledge Graphs has become a popular research topic. The existing work focuses mainly on relationship completion and has rarely solved entities and related triples. In this paper, a framework to predict RDF triples for Medical Knowledge Graphs based on word embeddings (named PTMKG-WE)

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Castillo, Luis F., Narmer Galeano, Gustavo A. Isaza, and Alvaro Gaitan. "Construction of coffee transcriptome networks based on gene annotation semantics." Journal of Integrative Bioinformatics 9, no. 3 (2012): 80–92. http://dx.doi.org/10.1515/jib-2012-205.

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Summary Gene annotation is a process that encompasses multiple approaches on the analysis of nucleic acids or protein sequences in order to assign structural and functional characteristics to gene models. When thousands of gene models are being described in an organism genome, construction and visualization of gene networks impose novel challenges in the understanding of complex expression patterns and the generation of new knowledge in genomics research. In order to take advantage of accumulated text data after conventional gene sequence analysis, this work applied semantics in combination wi

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Huang, Gang, Man Yuan, Chun-Sheng Li, and Yong-he Wei. "Personalized Knowledge Recommendation Based on Knowledge Graph in Petroleum Exploration and Development." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 10 (2020): 2059033. http://dx.doi.org/10.1142/s0218001420590338.

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Firstly, this paper designs the process of personalized recommendation method based on knowledge graph, and constructs user interest model. Second, the traditional personalized recommendation algorithms are studied and their advantages and disadvantages are analyzed. Finally, this paper focuses on the combination of knowledge graph and collaborative filtering recommendation algorithm. They are effective to solve the problem where [Formula: see text] value is difficult to be determined in the clustering process of traditional collaborative filtering recommendation algorithm as well as data spar

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Ngootip, Treepidok, Paiboon Manorom, Wirapong Chansanam, and Marut Buranarach. "Developing a Linked Open Data Platform for Folktales in the Greater Mekong Subregion." Emerging Science Journal 7, no. 6 (2023): 1937–53. http://dx.doi.org/10.28991/esj-2023-07-06-06.

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This research paper presents the development of a linked open data (LOD) platform that aims to organize and facilitate access to valuable knowledge about folktales and ethnic groups in the Greater Mekong Subregion countries. The study’s methodology involved the creation of a linked open data platform, structuring folktales’ knowledge, and evaluating its performance through expert assessment. The LOD platform was constructed through Google OpenRefine to establish connections with external data sources, and the RDF files (N-Triples) were deployed on Fuseki Server (Apache Jena) to serve as the SP

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HACHEY, B., C. GROVER, and R. TOBIN. "Datasets for generic relation extraction." Natural Language Engineering 18, no. 1 (2011): 21–59. http://dx.doi.org/10.1017/s1351324911000106.

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AbstractA vast amount of usable electronic data is in the form of unstructured text. The relation extraction task aims to identify useful information in text (e.g. PersonW works for OrganisationX, GeneY encodes ProteinZ) and recode it in a format such as a relational database or RDF triplestore that can be more effectively used for querying and automated reasoning. A number of resources have been developed for training and evaluating automatic systems for relation extraction in different domains. However, comparative evaluation is impeded by the fact that these corpora use different markup for

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