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Journal articles on the topic 'RDF-S semantics'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

De Bruijn, J., and S. Heymans. "Logical Foundations of RDF(S) with Datatypes." Journal of Artificial Intelligence Research 38 (August 20, 2010): 535–68. http://dx.doi.org/10.1613/jair.3088.

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The Resource Description Framework (RDF) is a Semantic Web standard that provides a data language, simply called RDF, as well as a lightweight ontology language, called RDF Schema. We investigate embeddings of RDF in logic and show how standard logic programming and description logic technology can be used for reasoning with RDF. We subsequently consider extensions of RDF with datatype support, considering D entailment, defined in the RDF semantics specification, and D* entailment, a semantic weakening of D entailment, introduced by ter Horst. We use the embeddings and properties of the logics

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Gangemi, Aldo, Valentina Presutti, Recupero Diego Reforgiato, Andrea Giovanni Nuzzolese, Francesco Draicchio, and Misael Mongiovì. "Semantic Web Machine Reading with FRED." Semantic Web 8, no. 6 (2017): 873–93. https://doi.org/10.3233/SW-160240.

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A formal machine reader is a tool able to transform natural language text into formal structured knowledge so as the latter can be interpreted by machines, according to a shared semantics. FRED is a formal machine reader for the semantic web: its output is a RDF/OWL graph, whose design is based on frame semantics. FRED’s graph are domain- and task-independent, making the tool suitable to be used as a semantic middleware for domain- or task-specific applications. To serve this purpose, it is available both as REST service and as Python library. This paper provides details about FRED&

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Analyti, A., G. Antoniou, C. V. Damasio, and G. Wagner. "Extended RDF as a Semantic Foundation of Rule Markup Languages." Journal of Artificial Intelligence Research 32 (May 15, 2008): 37–94. http://dx.doi.org/10.1613/jair.2425.

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Ontologies and automated reasoning are the building blocks of the Semantic Web initiative. Derivation rules can be included in an ontology to define derived concepts, based on base concepts. For example, rules allow to define the extension of a class or property, based on a complex relation between the extensions of the same or other classes and properties. On the other hand, the inclusion of negative information both in the form of negation-as-failure and explicit negative information is also needed to enable various forms of reasoning. In this paper, we extend RDF graphs with weak and strong

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Gasevic, Dragan. "Petri nets on the semantic web guidelines and infrastructure." Computer Science and Information Systems 1, no. 2 (2004): 127–51. http://dx.doi.org/10.2298/csis0402127g.

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This paper gives the Petri net ontology as the most important element in providing Petri net support for the Semantic Web. Available Petri net formal descriptions are: metamodels, UML profiles, ontologies and syntax. Metamodels are useful, but their main purpose is for Petri net tools. Although the current Petri-net community effort Petri Net Markup Language (PNML) is XML-based, it lacks a precise definition of semantics. Existing Petri net ontologies are partial solutions specialized for a specific problem. In order to show current Petri net model sharing features we use P3 tool that uses PNM

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Sutejo, Agus, Rahmat Gernowo, and Michael Andreas Purwoadi. "Ontology learning from object-relational mapping metadata and relational database." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 1116. http://dx.doi.org/10.11591/ijeecs.v33.i2.pp1116-1125.

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Ontologies play an important role in representing the semantics of data sources. Building an ontology as a representation of domain knowledge from available data sources is not a simple process, particularly when dealing with relational data, which remains prevalent in existing knowledge systems. In this study, we create an ontology from a relational database using object-relational mapping (ORM) metadata as additional rules for mapping. Our method comprises two main phases: ontology schema construction using ORM metadata and the generation of ontology instances from the relational database. D

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Sutejo, Agus, Rahmat Gernowo, and Michael Andreas Purwoadi. "Ontology learning from object-relational mapping metadata and relational database." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 2 (2024): 1116–25. https://doi.org/10.11591/ijeecs.v33.i2.pp1116-1125.

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Ontologies play an important role in representing the semantics of data sources. Building an ontology as a representation of domain knowledge from available data sources is not a simple process, particularly when dealing with relational data, which remains prevalent in existing knowledge systems. In this study, we create an ontology from a relational database using object-relational mapping (ORM) metadata as additional rules for mapping. Our method comprises two main phases: ontology schema construction using ORM metadata and the generation of ontology instances from the relational database. D

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J, I. Christy Eunaicy, and Sundara Vadivelu V. "A SEMWORD based Semantic Secure Content Retrieval System in E-learning." Indian Journal of Science and Technology 16, no. 31 (2023): 2447–57. https://doi.org/10.17485/IJST/v16i31.833.

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Abstract <strong>Objectives:</strong> The semantic e-learning model aims to be the next generation of e-learning as it enables advanced representation, manipulation and re-use of learning materials and knowledge semantics in efficient online learning experiences. The modeling of semantic-based content retrieval for e-learning with secured content. This system will provide users with access to relevant educational resources in an easy-to-use, secure, and anonymous environment using semantic technologies. <strong>Methods:</strong> Semantic Web resource description format is propos

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Jansen, L., and S. Schulz. "Formal Ontologies in Biomedical Knowledge Representation." Yearbook of Medical Informatics 22, no. 01 (2013): 132–46. http://dx.doi.org/10.1055/s-0038-1638845.

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Summary Objectives: Medical decision support and other intelligent applications in the life sciences depend on increasing amounts of digital information. Knowledge bases as well as formal ontologies are being used to organize biomedical knowledge and data. However, these two kinds of artefacts are not always clearly distinguished. Whereas the popular RDF(S) standard provides an intuitive triple-based representation, it is semantically weak. Description logics based ontology languages like OWL-DL carry a clear-cut semantics, but they are computationally expensive, and they are often misinterpre

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Ma, Zongmin, Daiyi Li, Jiawen Lu, Ruizhe Ma, and Li Yan. "RDF(S) Store in Object-Relational Databases." Journal of Database Management 35, no. 1 (2023): 1–32. http://dx.doi.org/10.4018/jdm.334710.

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The Resource Description Framework (RDF) and RDF Schema (RDFS) recommended by World Wide Web Consortium (W3C) provide a flexible model for semantically representing data on the web. With the widespread acceptance of RDF(S) (RDF and RDFS for short), a large number of RDF(S) is available. Databases play an important role in managing RDF(S). However, there are few studies on using object-relational databases to store RDF(S). In this paper, the authors propose the formal definitions of RDF(S) model and object-relational databases model. Then they introduce the approach for storing RDF(S) in object

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Fafalios, Pavlos, Manolis Baritakis, and Yannis Tzitzikas. "Exploiting Linked Data for Open and Configurable Named Entity Extraction." International Journal on Artificial Intelligence Tools 24, no. 02 (2015): 1540012. http://dx.doi.org/10.1142/s0218213015400126.

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Named Entity Extraction (NEE) is the process of identifying entities in texts and, very commonly, linking them to related (Web) resources. This task is useful in several applications, e.g. for question answering, annotating documents, post-processing of search results, etc. However, existing NEE tools lack an open or easy configuration although this is very important for building domain-specific applications. For example, supporting a new category of entities, or specifying how to link the detected entities with online resources, is either impossible or very laborious. In this paper, we show h

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GARCÍA-CASTRO, RAÚL, and ASUNCIÓN GÓMEZ-PÉREZ. "RDF(S) INTEROPERABILITY RESULTS FOR SEMANTIC WEB TECHNOLOGIES." International Journal of Software Engineering and Knowledge Engineering 19, no. 08 (2009): 1083–108. http://dx.doi.org/10.1142/s0218194009004556.

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Interoperability among different development tools is not a straightforward task since ontology editors rely on specific internal knowledge models which are translated into common formats such as RDF(S). This paper addresses the urgent need for interoperability by providing an exhaustive set of benchmark suites for evaluating RDF(S) import, export and interoperability. It also demonstrates, in an extensive field study, the state-of-the-art of interoperability among six Semantic Web tools. From this field study we have compiled a comprehensive set of practices that may serve as recommendations

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Trouli, Georgia Eirini, Alexandros Pappas, Georgia Troullinou, Lefteris Koumakis, Nikos Papadakis, and Haridimos Kondylakis. "SumMER: Structural Summarization for RDF/S KGs." Algorithms 16, no. 1 (2022): 18. http://dx.doi.org/10.3390/a16010018.

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Knowledge graphs are becoming more and more prevalent on the web, ranging from small taxonomies, to large knowledge bases containing a vast amount of information. To construct such knowledge graphs either automatically or manually, tools are necessary for their quick exploration and understanding. Semantic summaries have been proposed as a key technology enabling the quick understanding and exploration of large knowledge graphs. Among the methods proposed for generating summaries, structural methods exploit primarily the structure of the graph in order to generate the result summaries. Approac

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Ahmad Khan, Aatif, and Sanjay Kumar Malik. "Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search." Mehran University Research Journal of Engineering and Technology 39, no. 3 (2020): 595–602. http://dx.doi.org/10.22581/muet1982.2003.14.

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Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results. Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results. These KB include Resource Description Framework (RDF) datasets and populated ontologies. In this paper, an assessment of the largest cross-domain KB is presented that are exploited in large scale semantic search and are freely available on

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Davies, John, Alistair Duke, and York Sure. "OntoShare - An Ontology-based Knowledge Sharing System for virtual Communities of Practice." JUCS - Journal of Universal Computer Science 10, no. (3) (2004): 262–83. https://doi.org/10.3217/jucs-010-03-0262.

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An ontology-based knowledge sharing system OntoShare and its evaluation as part of a case study is described. RDF(S) is are used to specify and populate an ontology, based on information shared between users in virtual communities. We begin by discussing the advantages that use of Semantic Web technology afford in the area of knowledge management tools. The way in which OntoShare supports WWW-based communities of practice is described. Usage of OntoShare semiaautomatically builds an RDF-annotated information resource for the community (and potentially for others also). Observing that in practi

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Car, Nicholas J., and Timo Homburg. "GeoSPARQL 1.1: Motivations, Details and Applications of the Decadal Update to the Most Important Geospatial LOD Standard." ISPRS International Journal of Geo-Information 11, no. 2 (2022): 117. http://dx.doi.org/10.3390/ijgi11020117.

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In 2012, the Open Geospatial Consortium published GeoSPARQL defining “an RDF/OWL ontology for [spatial] information”, “SPARQL extension functions” for performing spatial operations on RDF data and “RIF rules” defining entailments to be drawn from graph pattern matching. In the 8+ years since its publication, GeoSPARQL has become the most important spatial Semantic Web standard, as judged by references to it in other Semantic Web standards and its wide use for Semantic Web data. An update to GeoSPARQL was proposed in 2019 to deliver a version 1.1 with a charter to: handle outstanding change req

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Du, Lei. "Parse Mechanism of Manufacturing Information Needs Based on Workflow Context." Advanced Materials Research 468-471 (February 2012): 2528–33. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2528.

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In this paper, the definitions of workflow context and its formal description for manufacturing information based on RDF/S (Resource Description Framework/Schema) are studied. And then, the logical structure and structure storeage of the independent context space are built. On the basis above, the parse mechanism of the information needs and the search mechanism of manufacturing information are studied. The algorithms of semantic search and user requirement extraction based on workflow context are developed.

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Papadakis, Nikos, Haridimos Kondylakis, Anastasios Kalaentzis, et al. "BlogSearch: Semantic Services for Aggregating and Searching Blog Articles." International Journal of Semantic Computing 10, no. 03 (2016): 399–415. http://dx.doi.org/10.1142/s1793351x16500033.

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The advent of new web technologies and the explosion of available information online led to an information overload. During this information revolution blogs have become considerably mainstream as a media of providing news. Although there are several arguments about their validity and credibility the large amount of blogs currently available require the usage of advanced techniques for the collection, analysis, mining and efficient querying of the available information. To this direction we present BlogSearch, a novel platform allowing aggregating, indexing and searching blog articles. The inf

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Baum, Roman, Peter Grobe, Christian Köhler, Sandra Meid, Björn Quast, and Lars Vogt. "Entry Life-Cycle with automatic Change-History & Provenance Tracking in collaborative Semantic Web Content Management Systems as implemented in SOCCOMAS." Biodiversity Information Science and Standards 2 (May 22, 2018): e26177. https://doi.org/10.3897/biss.2.26177.

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SOCCOMAS is a ready-to-use <u>S</u>emantic <u>O</u>ntology-<u>C</u>ontrolled <u>Co</u>ntent <u>Ma</u>nagement <u>S</u>ystem (http://escience.biowikifarm.net/wiki/SOCCOMAS). Each web content management system (WCMS) run by SOCCOMAS is controlled by a set of ontologies and an accompanying Java-based middleware with the data housed in a Jena tuple store. The ontologies describe the behavior of the WCMS, including all of its input forms, input controls, data schemes and workflow processes (Fig. 1). Data is organized into different types of data entries, which represent collections of data referrin

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Bleier, Roman, Florian Zeilinger, and Georg Vogeler. "From Early Modern Deliberation to the Semantic Web." Digital Humanities in the Nordic and Baltic Countries Publications 4, no. 2 (2022): 86–100. http://dx.doi.org/10.5617/dhnbpub.11262.

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In the early modern period, the Imperial Diet (or Reichstag) played a central role in the constitutional structure of the Holy Roman Empire and had a significant impact on European politics. This is documented by the variety of handed down source material, including negotiation files (Verhandlungsakten), minutes (Protokolle), reports of individual envoys to their princes (Berichte), and petitions (Supplikationen). The DFG and FWF funded project The Imperial Diet of Regensburg of 1576 – a Pilot Project on the Digital Edition of Sources on the Early Modern Era is breaking new ground and adds a n

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Destandau, Marie, Caroline Appert, and Emmanuel Pietriga. "S-Paths: Set-based visual exploration of linked data driven by semantic paths." Semantic Web 12, no. 1 (2020): 99–116. http://dx.doi.org/10.3233/sw-200383.

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Meaningful information about an RDF resource can be obtained not only by looking at its properties, but by putting it in the broader context of similar resources. Classic navigation paradigms on the Web of Data that employ a follow-your-nose strategy fail to provide such context, and put strong emphasis on first-level properties, forcing users to drill down in the graph one step at a time. We introduce the concept of semantic paths: starting from a set of resources, we follow and analyse chains of triples and characterize the sets of values at their end. We investigate a navigation strategy ba

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Montanaro, Giulio, and Sergei Tarasov. "Beyond natural language: an ontology-based description of a new Scarabaeus dung beetle from Madagascar (Coleoptera, Scarabaeinae)." Biodiversity Data Journal 12 (October 21, 2024): e134364. https://doi.org/10.3897/BDJ.12.e134364.

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The dung beetle genus <i>Scarabaeus</i> (Coleoptera, Scarabaeinae, Scarabaeini), predominantly found in the arid regions of the Old World, includes three endemic species inhabiting the dry ecosystems of western and southern Madagascar. These species are presumed to form a monophyletic clade nested within the African <i>Scarabaeus</i>.Semantic modelling of phenotypes using ontologies represents a transformative approach to species description in biology, making phenotypic data FAIR and computable. The recently developed Phenoscript language enables the creation of semantic, computable species d

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Penev, Lyubomir, Donat Agosti, Teodor Georgiev, et al. "The Open Biodiversity Knowledge Management (eco-)System: Tools and Services for Extraction, Mobilization, Handling and Re-use of Data from the Published Literature." Biodiversity Information Science and Standards 2 (May 17, 2018): e25748. https://doi.org/10.3897/biss.2.25748.

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The Open Biodiversity Knowledge Management System (OBKMS) is an end-to-end, eXtensible Markup Language (XML)- and Linked Open Data (LOD)-based ecosystem of tools and services that encompasses the entire process of authoring, submission, review, publication, dissemination, and archiving of biodiversity literature, as well as the text mining of published biodiversity literature (Fig. 1). These capabilities lead to the creation of interoperable, computable, and reusable biodiversity data with provenance linking facts to publications. OBKMS is the result of a joint endeavour by <u>Plazi</u> and <u

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Researcher. "THE IMPACT OF THE SEMANTIC WEB ON THE INTERNET WORLD." International Journal of Computer Science and Applications (IJCSA) 1, no. 1 (2024): 15–19. https://doi.org/10.5281/zenodo.14195716.

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In order to improve collaboration between humans and robots, information is given a clear meaning in the Semantic Web, a major advancement of the current Global Web. The Semantic Web makes it possible for computers to process, understand, and link data in a more complex and meaningful way by integrating semantics into web content. The impact of the Semantic Web on the Internet is examined in this research, along with how it improves intelligent automation, data integration, and information retrieval. The study explores the Semantic Web’s underlying technology, difficulties, and potential

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Guo, Dongming, Erling Onstein, and Angela Daniela La Rosa. "An Approach of Automatic SPARQL Generation for BIM Data Extraction." Applied Sciences 10, no. 24 (2020): 8794. http://dx.doi.org/10.3390/app10248794.

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Generally, building information modelling (BIM) models contain multiple dimensions of building information, including building design data, construction information, and maintenance-related contents, which are related with different engineering stakeholders. Efficient extraction of BIM data is a necessary and vital step for various data analyses and applications, especially in large-scale BIM projects. In order to extract BIM data, multiple query languages have been developed. However, the use of these query languages for data extraction usually requires that engineers have good programming sk

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Pellen, Florian, Sylvain Bouquin, Isabelle Mougenot, and Régine Vignes-Lebbe. "Building an OWL ontology with Xper3." Biodiversity Information Science and Standards 2 (May 21, 2018): e25614. http://dx.doi.org/10.3897/biss.2.25614.

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Xper3 (Vignes Lebbe et al. 2016) is a collaborative knowledge base publishing platform that, since its launch in november 2013, has been adopted by over 2 thousand users (Pinel et al. 2017). This is mainly due to its user friendly interface and the simplicity of its data model. The data are stored in MySQL Relational DBs, but the exchange format uses the TDWG standard format SDD (Structured Descriptive DataHagedorn et al. 2005). However, each Xper3 knowledge base is a closed world that the author(s) may or may not share with the scientific community or the public via publishing content and/or

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Pellen, Florian, Sylvain Bouquin, Isabelle Mougenot, and Régine Vignes-Lebbe. "Building an OWL ontology with Xper3." Biodiversity Information Science and Standards 2 (May 21, 2018): e25614. https://doi.org/10.3897/biss.2.25614.

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Xper3 (Vignes Lebbe et al. 2016) is a collaborative knowledge base publishing platform that, since its launch in november 2013, has been adopted by over 2 thousand users (Pinel et al. 2017). This is mainly due to its user friendly interface and the simplicity of its data model. The data are stored in MySQL Relational DBs, but the exchange format uses the TDWG standard format SDD (<i>Structured Descriptive Data</i> Hagedorn et al. 2005). However, each Xper3 knowledge base is a closed world that the author(s) may or may not share with the scientific community or the public via publishing content

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Касьянчук, І. В. "ОГЛЯД ХОРЕОГРАФІЇ ВЕБ-СЕРВІСІВ WSMO ДЛЯ ВИКОНАННЯ СИНХРОННИХ ТА АСИНХРОННИХ ЗАПИТІВ". Таврійський науковий вісник. Серія: Технічні науки, № 2 (9 липня 2024): 46–52. http://dx.doi.org/10.32782/tnv-tech.2024.2.4.

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Популярність Інтернету зумовлює стрімке зростання обсягів його інформаційного наповнення. Дані, які надають веб-ресурси орієнтовані здебільшого на розуміння людиною, і лише невелика їх частина придатна для обробки програмними агентами. Через це виникає складність у пошуку потрібної інформації, послуг або сервісів тощо. Це зумовило потребу у стандартизації ресурсів, а саме – уніфікації обміну даними між різними сервісами, чи інтегрування об’єктів реального світу в мережу Інтернет. Концепція семантичного Web (Semantic Web) дає можливість пов’язувати сервіси за допомогою опису взаємодії, включаюч

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Penev, Lyubomir, Teodor Georgiev, Viktor Senderov, Mariya Dimitrova, and Pavel Stoev. "The Pensoft Data Publishing Workflow: The FAIRway from articles to Linked Open Data." Biodiversity Information Science and Standards 3 (June 13, 2019): e35902. https://doi.org/10.3897/biss.3.35902.

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As one of the first advocates of open access and open data in the field of biodiversity publishiing, Pensoft has adopted a multiple data publishing model, resulting in the ARPHA-BioDiv toolbox (Penev et al. 2017). ARPHA-BioDiv consists of several data publishing workflows and tools described in the Strategies and Guidelines for Publishing of Biodiversity Data and elsewhere: Data underlying research results are deposited in an external repository and/or published as supplementary file(s) to the article and then linked/cited in the article text; supplementary files are published under their own

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Jin, Myeong, Sang-Min Choi, and Gun-Woo Kim. "COMCARE: A Collaborative Ensemble Framework for Context-Aware Medical Named Entity Recognition and Relation Extraction." Electronics 14, no. 2 (2025): 328. https://doi.org/10.3390/electronics14020328.

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The rapid expansion of medical information has resulted in named entity recognition (NER) and relation extraction (RE) essential for clinical decision support systems. Medical texts often contain specialized vocabulary, ambiguous abbreviations, synonyms, polysemous terms, and overlapping entities, which introduce significant challenges to the extraction process. Existing approaches, which typically rely on single models such as BiLSTM or BERT, often struggle with these complexities. Although large language models (LLMs) have shown promise in various NLP tasks, they still face limitations in ha

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Schöch, Christof. "Acesso aberto para as máquinas." TECCOGS – Revista digital de tecnologías cognitivas, no. 21 (November 1, 2020): 95–115. https://doi.org/10.23925/1984-3585.2020i21p99-115.

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Resumo: Muitos debates sobre o Acesso Livre giram atualmente em torno de modelos de financiamento adequados, perdendo de vista o fato de que os formatos de publicação também devem ser considerados como fundamentalmente mais abertos, ou seja, para além do formato pdf como a reencarnação digital do livro impresso, para que o potencial das tecnologias digitais de produção de conhecimento possa ser utilizado da melhor forma possível. Por conseguinte, o presente artigo trata da questão das publicações científ

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Penev, Lyubomir, Georgi Zhelezov, Mariya Dimitrova, Iva Boyadzhieva, and Teodor Georgiev. "OpenBiodiv for Users: Applications and approaches to explore a Biodiversity Knowledge Graph." Biodiversity Information Science and Standards 7 (August 9, 2023): e110724. https://doi.org/10.3897/biss.7.110724.

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OpenBiodiv is a biodiversity database - a knowledge graph based on Resource Description Framework (RDF) - that contains information extracted from scientific literature. It provides access to an ecosystem of tools and services, including a Linked Open Dataset, an ontology (OpenBiodiv-O) and а website (Dimitrova et al. 2021).Using the available data, OpenBiodiv discovers links between various biodiversity data types, e.g. taxon names, treatments, specimens, sequences, people and institutions, to answer a user's question about specific taxa, scientific articles, examined materials and others.The

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Göçmen, Akif. "İbn Kayyim el-Cevziyye'nin Tahrîf Anlayışı (Ibn Qayyim al-Jawziyya's Understanding of Taḥrīf)". Oksident: Yahudilik, Hıristiyanlık ve Batı Araştırmaları Dergisi - Journal for the Study on Judaism, Christianity and the West in Turkey 5, № 1 (2023): 61–100. https://doi.org/10.51490/oksident.1259913.

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  Özet İbn Kayyim el-Cevziyye yazdığı eserleri ve görüşleriyle dikkat çeken Müslüman âlimlerden biridir. Onun Yahudilere ve Hıristiyanlara karşı yazdığı <em>Hidâyetü’l-Hayârâ fî Ecvibeti’l-Yehûd ve’n-Nasârâ</em> adlı reddiyesi Yahudi ve Hıristiyan kutsal metinlerinin tahrîfini ve diğer bazı Dinler Tarihi meselelerini ayrıntılı olarak incelemesi sebebiyle mühim bir eserdir. İbn Kayyim hakkında pek çok akademik çalışma yapılmıştır; ancak ulusal literatürde onu

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Colucci, Simona, Francesco Maria Donini, and Sciascio Eugenio Di. "Checking compliance of semantic web applications with RDFS-semantics." April 30, 2019. https://doi.org/10.1002/itl2.87.

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This is the preprint of the following paper: Simona Colucci, Donini F, Eugenio Di Sciascio (2019). Checking compliance of semantic web applications with RDFS‐semantics. INTERNET TECHNOLOGY LETTERS, vol. 2, 16254847, ISSN: 2476-1508, doi: 10.1002/itl2.87 <strong>Abstract: </strong>Web applications calling themselves “Semantic” count in the hundreds, yet there is no clear definition about what this qualification should stand for. Semantic web applications may range from those just using Resource Description Framework (RDF) as a data interchange format, to those taking all RDF-S conse

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Shan, Jing, Jiawen Lu, Xu Chen, Li Yan, and Zongmin Ma. "A Semantics-preserving Approach for Extracting RDF Knowledge from Object-oriented Databases." Journal of Web Engineering, June 21, 2023. http://dx.doi.org/10.13052/jwe1540-9589.2221.

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The Resource Description Framework and RDF Schema recommended by the World Wide Web Consortium provide a flexible model for semantically representing information about resources on the Web, which are playing an increasingly important role in intelligent processing of large-scale data. With the widespread acceptance and applications of RDF(S), construction of RDF(S) is of increasing importance. Automatic construction of RDF(S) with diverse data has attracted more attention. In this paper, we propose a novel approach for constructing an RDF(S) with object-oriented databases that are suitable for

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"Best Paper Selection." Yearbook of Medical Informatics 27, no. 01 (2018): 144–45. http://dx.doi.org/10.1055/s-0038-1667091.

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Boudellioua I, Mahamad Razali RB, Kulmanov M, Hashish Y, Bajic VB, Goncalves-Serra E, Schoenmakers N, Gkoutos GV, Schofield PN, Hoehndorf R. Semantic prioritization of novel causative genomic variants. PLoS Comput Biol 2017;13(4):e1005500 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/28414800/ Galeota E, Pelizzola M. Ontology-based annotations and semantic relations in large-scale (epi)genomics data. Brief Bioinform 2017;18(3):403-12 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/27142216/ Khan Y, Saleem M, Mehdi M, Hogan A, Mehmood Q, Rebholz-Schuhmann D, Sahay R. SAFE: SPARQL Federation ove

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Welten, Sascha, Laurenz Neumann, Yeliz Ucer Yediel, Luiz Olavo Bonino da Silva Santos, Stefan Decker, and Oya Beyan. "DAMS: A Distributed Analytics Metadata Schema." Data Intelligence, May 12, 2021, 1–17. http://dx.doi.org/10.1162/dint_a_00100.

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Abstract In recent years, implementations enabling Distributed Analytics (DA) have gained considerable attention due to their ability to perform complex analysis tasks on decentralised data by bringing the analysis to the data. These concepts propose privacy-enhancing alternatives to data centralisation approaches, which have restricted applicability in case of sensitive data due to ethical, legal or social aspects. Nevertheless, the immanent problem of DA-enabling architectures is the black-box-alike behaviour of the highly distributed components originating from the lack of semantically enri

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Anna, V. Zhdanova, and Keller Uwe. "Choosing an Ontology Language." April 26, 2007. https://doi.org/10.5281/zenodo.1062518.

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We summarize information that facilitates choosing an ontology language for knowledge intensive applications. This paper is a short version of the ontology language state-of-the-art and evolution analysis carried out for choosing an ontology language in the IST Esperonto project. At first, we analyze changes and evolution that took place in the filed of Semantic Web languages during the last years, in particular, around the ontology languages of the RDF/S and OWL family. Second, we present current trends in development of Semantic Web languages, in particular, rule support extensions for Seman

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Prof., Poonam Lambhate (Doshi), and Emmanual M. Dr. "PROCESSING LINKED MULTIDIMENSIONAL DATA ON THE SEMANTIC WEB." International Journal of Innovations in Engineering Research and Technology (IJIERT) ICCCES-16 (October 22, 2018). https://doi.org/10.5281/zenodo.1468223.

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<strong>The Semantic Web has grown tremendously with more and more information on the web being available in the form of the Resource Descriptor Framework (RDF). This has paved the way for the RDF Data Cube Vocabulary (QB),which also became a W3C recommendation,and allowed for publishing statistical and linked data in the form of web data cubes. The RDF QB Vocabulary has since then been extended in the form of several vocabularies,many of which aim to provide analytics on top of linked datasets from disparate sources. Several governments have released statistically linked data freely which can

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Bruneau, Olivier, Nicolas Lasolle, Jean Lieber, Emmanuel Nauer, Siyana Pavlova, and Laurent Rollet. "Applying and developing semantic web technologies for exploiting a corpus in history of science: The case study of the Henri Poincaré correspondence." Semantic Web, September 30, 2020, 1–20. http://dx.doi.org/10.3233/sw-200400.

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The Henri Poincaré correspondence is a corpus of letters sent and received by this mathematician. The edition of this correspondence is a long-term project begun during the 1990s. Since 1999, a website is devoted to publish online this correspondence with digitized letters. In 2017, it has been decided to reforge this website using Omeka S. This content management system offers useful services but some user needs have led to the development of an RDFS infrastructure associated to it. Approximate and explained searches are managed thanks to SPARQL query transformations. A prototype for efficien

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Baptista, Ana Alice. "Searching and Browsing Using RDF-Encoded Metadata: The Case of Omnipaper." Canadian Journal of Communication 29, no. 3 (2004). http://dx.doi.org/10.22230/cjc.2004v29n3a1449.

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Abstract: Often metadata applications concentrate on either searching or browsing. Two completely independent prototypes covering both searching and conceptual browsing (with overlapping functionality) have been built as part of the Omnipaper project: one using RDF and one using the Topic Maps family of technologies. This paper will present the full RDF prototype, with particular emphasis on the homogeneity provided by the use of RDF (together with RDF-S) in both approaches. The Omnipaper Resource Description Framework (RDF) prototype handles both these approaches and builds a coherent semanti

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Jawad, Makki. "ONTOPRIMA:APROTOTYPE FOR AUTOMATING ONTOLOGY POPULATION." April 20, 2021. https://doi.org/10.5121/ijwest.2017.8401.

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Ontology Population supports the process of building ontologies in the complex task of instantiating ontology. Performing this process manually is both expensive and time consuming; this logically leads to attempts of fully or partially automating the process of acquisition and absorption of knowledge in general and the process of Ontology Population in particular. This paper presents OntoPRiMa (Ontology Population for PRIMA Project), a prototype based on a semi-automatic approach for ontology population in the domain of risk management. OntoPRiMa demonstrates the feasibility of the proposed a

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Preeti, Kathiria, and Ahluwalia Sukraat. "A Naive Method For Ontology Construction." February 29, 2016. https://doi.org/10.5121/ijscai.2016.5106.

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Ontologies are being used to organize information in many domains like artificial intelligence, information science, semantic web, library science. Ontologies of an entity having different information can be merged to create more knowledge of that particular entity. Ontologies today are powering more accurate search and retrieval in websites like Wikipedia etc. As we move towards the future to Web 3.0, also termed as the semantic web, ontologies will play a more important role. Ontologies are represented in various forms like RDF, RDFS, XML, OWL etc. Querying ontologies can yield basic informa

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Preeti, Kathiria, and Ahluwalia Sukraat. "A Naive Method For Ontology Construction." February 29, 2016. https://doi.org/10.5281/zenodo.4001692.

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Ontologies are being used to organize information in many domains like artificial intelligence, information science, semantic web, library science. Ontologies of an entity having different information can be merged to create more knowledge of that particular entity. Ontologies today are powering more accurate search and retrieval in websites like Wikipedia etc. As we move towards the future to Web 3.0, also termed as the semantic web, ontologies will play a more important role. Ontologies are represented in various forms like RDF, RDFS, XML, OWL etc. Querying ontologies can yield basic informa

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Preeti, Kathiria, and Ahluwalia Sukraat. "A Naive Method For Ontology Construction." February 29, 2016. https://doi.org/10.5281/zenodo.3369190.

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Ontologies are being used to organize information in many domains like artificial intelligence, information science, semantic web, library science. Ontologies of an entity having different information can be merged to create more knowledge of that particular entity. Ontologies today are powering more accurate search and retrieval in websites like Wikipedia etc. As we move towards the future to Web 3.0, also termed as the semantic web, ontologies will play a more important role. Ontologies are represented in various forms like RDF, RDFS, XML, OWL etc. Querying ontologies can yield basic informa

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Penev, Lyubomir, Donat Agosti, Teodor Georgiev, et al. "The Open Biodiversity Knowledge Management (eco-)System: Tools and Services for Extraction, Mobilization, Handling and Re-use of Data from the Published Literature." Biodiversity Information Science and Standards 2 (May 17, 2018). http://dx.doi.org/10.3897/biss.2.25748.

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The Open Biodiversity Knowledge Management System (OBKMS) is an end-to-end, eXtensible Markup Language (XML)- and Linked Open Data (LOD)-based ecosystem of tools and services that encompasses the entire process of authoring, submission, review, publication, dissemination, and archiving of biodiversity literature, as well as the text mining of published biodiversity literature (Fig. 1). These capabilities lead to the creation of interoperable, computable, and reusable biodiversity data with provenance linking facts to publications. OBKMS is the result of a joint endeavour by Plazi and Pensoft l

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Jawad, Makki1. "ONTOPRIMA: A PROTOTYPE FOR AUTOMATING ONTOLOGY POPULATION." October 31, 2017. https://doi.org/10.5281/zenodo.1308742.

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Ontology Population supports the process of building ontologies in the complex task of instantiating ontology. Performing this process manually is both expensive and time consuming; this logically leads to attempts of fully or partially automating the process of acquisition and absorption of knowledge in general and the process of Ontology Population in particular. This paper presents OntoPRiMa (Ontology Population for PRIMA Project), a prototype based on a semiautomatic approach for ontology population in the domain of risk management. OntoPRiMa demonstrates the feasibility of the proposed ap

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Doerr, Martin, Stefan Gradmann, Steffen Hennicke, Antoine Isaac, Carlo Meghini, and Herbert Van De Sompel. "Europeana duomenų modelis (EDM)." Relevant Tomorrow, January 14, 2013. http://dx.doi.org/10.51740/rt.vi.440.

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Europeana duomenų modelis (Europeana Data Model – EDM) – tai naujas požiūris į duomenų, kuriuos Europeana teikia įvairios kultūros paveldo institucijos, struktūravimą ir pateikimą. Šiuo modeliu siekiama didesnės raiškos ir lankstumo, palyginti su dabar taikomu Europeana Semantic Elements (ESE), kurį jis turėtų pakeisti. Esminiai EDM projektiniai principai grindžiami pagrindiniais semantinio saityno ir susietų duomenų iniciatyvų, kurias Europeana siekia praturtinti, principais ir gerąja praktika. Paties modelio pagrindą sudaro galiojantys standartai, tokie kaip RDF(S), OAI-ORE, SKOS ir Dublin

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Montanaro, Giulio, and Sergei Tarasov. "Beyond natural language: an ontology-based description of a new Scarabaeus dung beetle from Madagascar (Coleoptera, Scarabaeinae)." Biodiversity Data Journal 12 (October 21, 2024). http://dx.doi.org/10.3897/bdj.12.e134364.

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The dung beetle genus Scarabaeus (Coleoptera, Scarabaeinae, Scarabaeini), predominantly found in the arid regions of the Old World, includes three endemic species inhabiting the dry ecosystems of western and southern Madagascar. These species are presumed to form a monophyletic clade nested within the African Scarabaeus. Semantic modelling of phenotypes using ontologies represents a transformative approach to species description in biology, making phenotypic data FAIR and computable. The recently developed Phenoscript language enables the creation of semantic, computable species descriptions u

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Delgado, Francisco, José R. Hilera, Raul Ruggia, Salvador Otón, and Héctor R. Amado-Salvatierra. "Using microdata for international e-Government data exchange: The case of social security domain." Journal of Information Science, December 2, 2019, 016555151989136. http://dx.doi.org/10.1177/0165551519891361.

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Semantic interoperability issues of international e-Government data exchanges have not been solved up until now. In the case of social security institutions, the data exchange operations have some particularities that make that the non-ambiguous definition of core concepts used in the institutions has a key impact on the success and quality of system interconnections. In this article, we present the result of a research to implement a new metadata specification based in Dublin Core elements for international social security exchanges, named Exchange Social Security Information Metadata (ESSIM)

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Gu, Zhenzhen, Francesco Corcoglioniti, Davide Lanti, et al. "A systematic overview of data federation systems." Semantic Web, December 6, 2022, 1–59. http://dx.doi.org/10.3233/sw-223201.

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Data federation addresses the problem of uniformly accessing multiple, possibly heterogeneous data sources, by mapping them into a unified schema, such as an RDF(S)/OWL ontology or a relational schema, and by supporting the execution of queries, like SPARQL or SQL queries, over that unified schema. Data explosion in volume and variety has made data federation increasingly popular in many application domains. Hence, many data federation systems have been developed in industry and academia, and it has become challenging for users to select suitable systems to achieve their objectives. In order t

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