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Journal articles on the topic 'SPARQL evaluation'

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Published: 5 June 2025

Last updated: 2 August 2025

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1

Lorey, Johannes. "Identifying and determining SPARQL endpoint characteristics." International Journal of Web Information Systems 10, no. 3 (2014): 226–44. http://dx.doi.org/10.1108/ijwis-03-2014-0007.

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Purpose – The purpose of this study is to introduce several metrics that enable universal and fine-grained characterization of arbitrary Linked Data repositories. Publicly accessible SPARQL endpoints contain vast amounts of knowledge from a large variety of domains. However, oftentimes these endpoints are not configured to process specific workloads as efficiently as possible. Assisting users in leveraging SPARQL endpoints requires insight into functional and non-functional properties of these knowledge bases. Design/methodology/approach – This study presents comprehensive approaches for deriv

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Ceballos, Oscar, Carlos Alberto Ramírez Restrepo, María Constanza Pabón, Andres M. Castillo, and Oscar Corcho. "SPARQL2Flink: Evaluation of SPARQL Queries on Apache Flink." Applied Sciences 11, no. 15 (2021): 7033. http://dx.doi.org/10.3390/app11157033.

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Existing SPARQL query engines and triple stores are continuously improved to handle more massive datasets. Several approaches have been developed in this context proposing the storage and querying of RDF data in a distributed fashion, mainly using the MapReduce Programming Model and Hadoop-based ecosystems. New trends in Big Data technologies have also emerged (e.g., Apache Spark, Apache Flink); they use distributed in-memory processing and promise to deliver higher data processing performance. In this paper, we present a formal interpretation of some PACT transformations implemented in the Ap

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Styperek, Adam, Michal Ciesielczyk, Andrzej Szwabe, and Pawel Misiorek. "Evaluation of SPARQL-compliant semantic search user interfaces." Vietnam Journal of Computer Science 2, no. 3 (2015): 191–99. http://dx.doi.org/10.1007/s40595-015-0044-y.

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Alkhateeb, Faisal, and Jerome Euzenat. "Constrained regular expressions for answering RDF-path queries modulo RDFS." International Journal of Web Information Systems 10, no. 1 (2014): 24–50. http://dx.doi.org/10.1108/ijwis-05-2013-0013.

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Purpose – The paper aims to discuss extensions of SPARQL that use regular expressions to navigate RDF graphs and may be used to answer queries considering RDFS semantics (in particular, nSPARQL and our proposal CPSPARQL). Design/methodology/approach – The paper is based upon a theoretical comparison of the expressiveness and complexity of both nSPARQL and the corresponding fragment of CPSPARQL, that we call cpSPARQL. Findings – The paper shows that nSPARQL and cpSPARQL (the fragment of CPSPARQL) have the same complexity through cpSPARQL, being a proper extension of SPARQL graph patterns, is mo

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Kremen, Petr, and Bogdan Kostov. "Expressive OWL Queries." International Journal on Semantic Web and Information Systems 8, no. 4 (2012): 57–79. http://dx.doi.org/10.4018/jswis.2012100104.

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Web Ontology Language ontologies become more and more popular in complex domain modeling for their high expressiveness, flexibility and well defined semantics. Although query languages adequate in expressiveness to OWL reasoning capabilities were introduced before, their implementations are rather limited. In this paper, the authors study SPARQL-DLNOT, an extension of one of these query languages, SPARQL-DL, and present novel evaluation and optimization techniques for efficient SPARQL-DLNOT execution. As queries become complex easily, they also present a novel graph-based visualization that si

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Saleem, Muhammad, Yasar Khan, Ali Hasnain, Ivan Ermilov, and Axel-Cyrille Ngonga Ngomo. "A fine-grained evaluation of SPARQL endpoint federation systems." Semantic Web 7, no. 5 (2016): 493–518. http://dx.doi.org/10.3233/sw-150186.

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Buil-Aranda, Carlos, Marcelo Arenas, Oscar Corcho, and Axel Polleres. "Federating queries in SPARQL 1.1: Syntax, semantics and evaluation." Journal of Web Semantics 18, no. 1 (2013): 1–17. http://dx.doi.org/10.1016/j.websem.2012.10.001.

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Hernández, Daniel, Luis Galárraga, and Katja Hose. "Computing how-provenance for SPARQL queries via query rewriting." Proceedings of the VLDB Endowment 14, no. 13 (2021): 3389–401. http://dx.doi.org/10.14778/3484224.3484235.

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Over the past few years, we have witnessed the emergence of large knowledge graphs built by extracting and combining information from multiple sources. This has propelled many advances in query processing over knowledge graphs, however the aspect of providing provenance explanations for query results has so far been mostly neglected. We therefore propose a novel method, SPARQLprov, based on query rewriting, to compute how-provenance polynomials for SPARQL queries over knowledge graphs. Contrary to existing works, SPARQLprov is system-agnostic and can be applied to standard and already deployed

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Hernández-Illera, Antonio, Miguel A. Martínez-Prieto, Javier D. Fernández, and Antonio Fariña. "iHDT++: improving HDT for SPARQL triple pattern resolution." Journal of Intelligent & Fuzzy Systems 39, no. 2 (2020): 2249–61. http://dx.doi.org/10.3233/jifs-179888.

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RDF self-indexes compress the RDF collection and provide efficient access to the data without a previous decompression (via the so-called SPARQL triple patterns). HDT is one of the reference solutions in this scenario, with several applications to lower the barrier of both publication and consumption of Big Semantic Data. However, the simple design of HDT takes a compromise position between compression effectiveness and retrieval speed. In particular, it supports scan and subject-based queries, but it requires additional indexes to resolve predicate and object-based SPARQL triple patterns. A r

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De, Almeida João Paulo Dias, Frederico Durão, and Arthur Fortes da Costa. "Enhancing Spatial Keyword Preference Query with Linked Open Data." JUCS - Journal of Universal Computer Science 24, no. (11) (2018): 1561–81. https://doi.org/10.3217/jucs-024-11-1561.

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This paper presents a Spatial Keyword Preference Query (SKPQ) enhanced by Linked Open Data. This query selects objects based on the textual description of features in their neighborhood. The spatial relationship between objects and features is explored by the SKPQ using a Spatial Inverted Index. In our approach, the spatial relationship is explored using SPARQL. However, the main benefit of using SPARQL is obtained by measuring the textual relevance between features' description and user's keywords. The object description in Linked Open Data is much richer than traditional spatial databases, w

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Angles, Renzo, Georg Gottlob, Aleksandar Pavlović, Reinhard Pichler, and Emanuel Sallinger. "SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog." Proceedings of the VLDB Endowment 16, no. 13 (2023): 4240–53. http://dx.doi.org/10.14778/3625054.3625061.

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Over the past decade, Knowledge Graphs have received enormous interest both from industry and from academia. Research in this area has been driven, above all, by the Database (DB) community and the Semantic Web (SW) community. However, there still remains a certain divide between approaches coming from these two communities. For instance, while languages such as SQL or Datalog are widely used in the DB area, a different set of languages such as SPARQL and OWL is used in the SW area. Interoperability between such technologies is still a challenge. The goal of this work is to present a uniform a

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Warnke, Benjamin, Kevin Martens, Tobias Winker, et al. "ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL." Big Data and Cognitive Computing 8, no. 7 (2024): 71. http://dx.doi.org/10.3390/bdcc8070071.

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The choice of a good join order plays an important role in the query performance of databases. However, determining the best join order is known to be an NP-hard problem with exponential growth with the number of joins. Because of this, nonlearning approaches to join order optimization have a longer optimization and execution time. In comparison, the models of machine learning, once trained, can construct optimized query plans very quickly. Several efforts have applied machine learning to optimize join order for SQL queries outperforming traditional approaches. In this work, we suggest a reinf

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Chen, Yanji, Mieczyslaw M. Kokar, Jakub Moskal, and Kaushik R. Chowdhury. "Metrics-Based Comparison of OWL and XML for Representing and Querying Cognitive Radio Capabilities." Applied Sciences 12, no. 23 (2022): 11946. http://dx.doi.org/10.3390/app122311946.

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Collaborative spectrum access requires wireless devices to perform spectrum-related tasks (such as sensing) on request from other nodes. Thus, while joining the network, they need to inform neighboring devices and/or the central coordinator of their capabilities. During the operational phase, nodes may request other permissions from the the controller, like the opportunity to transmit according to the current policies and spectrum availability. To achieve such coordinated behavior, all associated devices within the network need a language for describing radio capabilities, requests, scenarios,

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Dooley, Paula, and Bojan Bozic. "Towards Linked Data for Wikidata Revisions and Twitter Trending Hashtags." Journal of Data Intelligence 1, no. 3 (2020): 351–77. http://dx.doi.org/10.26421/jdi1.3-4.

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This paper uses Twitter as a microblogging platform to link hashtags, which relate the message to a topic that is shared among users, to Wikidata, a central knowledge base of information relying on its members and machine bots to keeping its content up to date. The data is stored in a highly structured format, with the added SPARQL Protocol And RDF Query Language (SPARQL) endpoint to allow users to query its knowledge base. Our research, designs and implements a process to stream live Twitter tweets and to parse existing Wikidata revision XML files provided by Wikidata. Furthermore, we identif

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FIORENTINO, ALESSIO, JESSICA ZANGARI, and MARCO MANNA. "DaRLing: A Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries." Theory and Practice of Logic Programming 20, no. 6 (2020): 958–73. http://dx.doi.org/10.1017/s1471068420000204.

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AbstractThe W3C Web Ontology Language (OWL) is a powerful knowledge representation formalism at the basis of many semantic-centric applications. Since its unrestricted usage makes reasoning undecidable already in case of very simple tasks, expressive yet decidable fragments have been identified. Among them, we focus on OWL 2 RL, which offers a rich variety of semantic constructors, apart from supporting all RDFS datatypes. Although popular Web resources - such as DBpedia - fall in OWL 2 RL, only a few systems have been designed and implemented for this fragment. None of them, however, fully sa

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Kumar, P. Nandha, and M. Hemalathar. "DOMAIN ORIENTED ONTOLOGY BASED SEMANTIC WEB SEARCH METHODOLOGY USING SPARQL QUERY." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 9 (2014): 3875–85. http://dx.doi.org/10.24297/ijct.v12i9.2827.

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Semantic web facilitates the use of automated processing of descriptions on the web and exchange and representation of information is done in a meaningful way. But a conventional search engine, the context and semantics of the user query is not analyzed fully and the data is not well structured so it does not provide the relevant content needed by the user. Hence to overcome this problem, semantic web search has become an essential part in todayâ€™s world. In this proposed method the user given query is analyzed semantically and the web data is stored in an ontology which is well structured an

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Kondylakis, Haridimos, Dimitrios Tsirigotakis, Giorgos Fragkiadakis, et al. "R2D2: A Dbpedia Chatbot Using Triple-Pattern Like Queries." Algorithms 13, no. 9 (2020): 217. http://dx.doi.org/10.3390/a13090217.

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Chatbots, also known as conversation agents, are programs that are able to simulate and reproduce an intelligent conversation with humans. Although this type of program is not new, the explosion of the available information and the rapid increase of the users seeking this information have renewed the interest in their development. In this paper, we present R2D2, an intelligent chatbot relying on semantic web technologies and offering an intelligent controlled natural language interface for accessing the information available in DBpedia. The chatbot accepts structured input, allowing users to e

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Egami, Shusaku, Yasunori Yamamoto, Ikki Ohmukai, and Takashi Okumura. "CIRO: COVID-19 infection risk ontology." PLOS ONE 18, no. 3 (2023): e0282291. http://dx.doi.org/10.1371/journal.pone.0282291.

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Public health authorities perform contact tracing for highly contagious agents to identify close contacts with the infected cases. However, during the pandemic caused by coronavirus disease 2019 (COVID-19), this operation was not employed in countries with high patient volumes. Meanwhile, the Japanese government conducted this operation, thereby contributing to the control of infections, at the cost of arduous manual labor by public health officials. To ease the burden of the officials, this study attempted to automate the assessment of each person’s infection risk through an ontology, called

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Oguz, Damla, Shaoyi Yin, Belgin Ergenç, Abdelkader Hameurlain, and Oguz Dikenelli. "Extended Adaptive Join Operator with Bind-Bloom Join for Federated SPARQL Queries." International Journal of Data Warehousing and Mining 13, no. 3 (2017): 47–72. http://dx.doi.org/10.4018/ijdwm.2017070103.

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The goal of query optimization in query federation over linked data is to minimize the response time and the completion time. Communication time has the highest impact on them both. Static query optimization can end up with inefficient execution plans due to unpredictable data arrival rates and missing statistics. This study is an extension of adaptive join operator which always begins with symmetric hash join to minimize the response time, and can change the join method to bind join to minimize the completion time. The authors extend adaptive join operator with bind-bloom join to further redu

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ED-DAOUDI, Rachid. "Design and Evaluation of an Ontology-Based Context-Aware System for Advertising Recommendations." International Journal of Progressive Sciences and Technologies 46, no. 2 (2024): 477. https://doi.org/10.52155/ijpsat.v46.2.6634.

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This research focuses on the design and evaluation of an ontology-based context-aware system for advertising recommendations. The study addresses the limitations of traditional advertising systems, which often neglect key contextual factors such as user location, time, and needs. Using the NeOn methodology, the proposed ontology incorporates these contextual dimensions, integrating widely accepted ontologies like FOAF, OWL-Time, and WGS84 Geo Positioning. The developed ontology was tested using SPARQL and GeoSPARQL queries to ensure it could accurately represent advertising and contextual info

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Yönyül, Burak, Oylum Alatlı, and Rıza Cenk Erdur. "MonARCh: an actor based architecture for dynamic linked data monitoring." PeerJ Computer Science 10 (July 12, 2024): e2133. http://dx.doi.org/10.7717/peerj-cs.2133.

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Monitoring the data sources for possible changes is an important consumption requirement for applications running in interaction with the Web of Data. In this article, MonARCh which is an architecture for monitoring the result changes of registered SPARQL queries in the Linked Data environment, is proposed. MonARCh can be comprehended as a publish/subscribe system in the general sense. However, it differs in how communication with the data sources is realized. Data sources in the Linked Data environment do not publish the changes in the data. MonARCh provides the necessary communication infras

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Voinov, Artem, and Ilya Senokosov. "Analysis of the performance of languages for working with the ontological model of the assembly of 3D-constructions." Journal of Physics: Conference Series 2373, no. 7 (2022): 072014. http://dx.doi.org/10.1088/1742-6596/2373/7/072014.

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Abstract The paper studies the performance of various languages used to work with ontological models. The languages are used in the methodology for modifying and verifying the 3D construction ontology presented in this paper. The methodology consists of three stages: building an ontological model of the assembly system and an ontological model of the desired 3D structure, modifying the original 3D structure model, and verifying the result in order to decide on further actions. The paper considers two groups of languages: query languages and modification languages. SQWRL and SPARQL are analyzed

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Ko, Young Man, Min Sun Song, and Seung Jun Lee. "Construction of the structural definition-based terminology ontology system and semantic search evaluation." Library Hi Tech 34, no. 4 (2016): 705–32. http://dx.doi.org/10.1108/lht-08-2016-0090.

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Purpose The purpose of this paper is to construct a structural definition-based terminology ontology system that defines the meanings of academic terms on the basis of properties and links terms with properties that are structured by conceptual categories (classes). This study also aims to test the possibility of semantic searches by generating inference rules and setting very complicated search scenarios. Design/methodology/approach For the study, 55,236 keywords from the articles of the “Korea Citation Index” were structurally defined and relationships among terms and properties were built.

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Osman, Taha. "GeoSPARQL-Jena: Implementation and Benchmarking of a GeoSPARQL Graphstore." European Conference on Knowledge Management 23, no. 2 (2022): 885–94. http://dx.doi.org/10.34190/eckm.23.2.651.

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This work presents an RDF graphstore implementation for all six modules of the GeoSPARQL standard using the Apache Jena Semantic Web library. Previous implementations have provided only partial coverage of the GeoSPARQL standard. There is discussion of the design and development of on-demand indexes to improve query performance without incurring lengthy data preparation delays. A supporting benchmarking framework is also discussed for the evaluation of any SPARQL compliant queries with interfaces provided for integrating additional test systems. This benchmarking framework is utilised to exami

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Aissaoui, Tayeb, and Rachid ED-DAOUDI. "Stratégies De Communication Digitale Sur Les Réseaux Sociaux Au Maroc A L'ère De L'intelligence Artificielle." International Journal of Progressive Sciences and Technologies 46, no. 2 (2024): 492. https://doi.org/10.52155/ijpsat.v46.2.6658.

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This research focuses on the design and evaluation of an ontology-based context-aware system for advertising recommendations. The study addresses the limitations of traditional advertising systems, which often neglect key contextual factors such as user location, time, and needs. Using the NeOn methodology, the proposed ontology incorporates these contextual dimensions, integrating widely accepted ontologies like FOAF, OWL-Time, and WGS84 Geo Positioning. The developed ontology was tested using SPARQL and GeoSPARQL queries to ensure it could accurately represent advertising and contextual info

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Gao, Xiaohui, Yinling Li, Ruiwu Wang, Xueqing Ding, Xin Wang, and Xin Xu. "Ontology-Guided Generation of Mechanized Construction Plan for Power Grid Construction Project." Buildings 14, no. 10 (2024): 3271. http://dx.doi.org/10.3390/buildings14103271.

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Mechanized construction is being fully implemented in the electric power infrastructure domain to ensure construction safety, enhance project quality, and improve efficiency. Traditional methods of designing mechanized construction plans are often inefficient due to their labor-intensive processes and heavy reliance on human expertise. This study introduces and evaluates an ontology-guided system designed to automate mechanized construction planning for power grid projects. The developed ontology effectively models domain-specific knowledge, enabling the semantic integration of data from vario

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Nhi, Nguyen Thi Uyen, Van The Thanh, and Le Manh Thanh. "A SELF-BALANCED CLUSTERING TREE FOR SEMANTIC-BASED IMAGE RETRIEVAL." Journal of Computer Science and Cybernetics 36, no. 1 (2020): 49–67. http://dx.doi.org/10.15625/1813-9663/1/1/14347.

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The image retrieval and semantic extraction play an important role in the multimedia systems such as geographic information system, hospital information system, digital library system, etc. Therefore, the research and development of semantic-based image retrieval (SBIR) systems have become extremely important and urgent. Major recent publications are included covering different aspects of the research in this area, including building data models, low-level image feature extraction, and deriving high-level semantic features. However, there is still no general approach for semantic-based image r

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Nhi, Nguyen Thi Uyen, Van The Thanh, and Le Manh Thanh. "A SELF-BALANCED CLUSTERING TREE FOR SEMANTIC-BASED IMAGE RETRIEVAL." Journal of Computer Science and Cybernetics 36, no. 1 (2020): 49–67. http://dx.doi.org/10.15625/1813-9663/36/1/14347.

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The image retrieval and semantic extraction play an important role in the multimedia systems such as geographic information system, hospital information system, digital library system, etc. Therefore, the research and development of semantic-based image retrieval (SBIR) systems have become extremely important and urgent. Major recent publications are included covering different aspects of the research in this area, including building data models, low-level image feature extraction, and deriving high-level semantic features. However, there is still no general approach for semantic-based image r

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Yousfi, Houssameddine, Amin Mesmoudi, Allel Hadjali, Houcine Matallah, and Seif-Eddine Benkabou. "SRDF_QDAG: An efficient end-to-end RDF data management when graph exploration meets spatial processing." Computer Science and Information Systems, no. 00 (2023): 46. http://dx.doi.org/10.2298/csis230225046y.

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The popularity of RDF has led to the creation of several datasets (e.g., Yago, DBPedia) with different natures (graph, temporal, spatial). Different extensions have also been proposed for SPARQL language to provide appropriate processing. The best known is GeoSparql, that allows the integration of a set of spatial operators. In this paper, we propose new strategies to support such operators within a particular TripleStore, named RDF QDAG, that relies on graph fragmentation and exploration and guarantees a good compromise between scalability and performance. Our proposal covers the different Tr

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Kusuma, I. Made Cantiawan Giri, and Cokorda Rai Adi Pramartha. "Ontology Development for Motorcycle Semantic Knowledge Representation." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 9, no. 2 (2020): 177. http://dx.doi.org/10.24843/jlk.2020.v09.i02.p03.

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Transportation is currently a basic necessity in supporting daily life, starting from supporting economic activities and various other things. One of the most commonly used means of transportation is a motorcycle because it is very practical to use. However, the development of motorcycles is currently very fast, confusing the community in choosing a motorcycle that suits their needs. The solution used to overcome this problem can be overcome by using the concept of semantic ontology. The method of building the ontology model used is METHONTOLOGY. This method is one of the methods of building a

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Rasiq, G. M. Rasiqul Islam, Abdullah Al Sefat, Tanjila Hossain, Md Israt-E.-Hasan Munna, Jubayeath Jahan Jisha, and Mohammad Moinul Hoque. "Question Answering System over Linked Data: A Detailed Survey." ABC Research Alert 8, no. 1 (2020): 32–47. http://dx.doi.org/10.18034/abcra.v8i1.449.

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As the amount of information in the world is growing very quickly, in the case of the semantic web this increasing amount of information is becoming more difficult to find and manage the exact answers to our various questions. To overcome these difficulties some systems have been developed that make it work for us. But there exists many challenges in developing these systems that require a lot of improvement. In this tutorial, we give a basic understanding of Semantic web, RDF triple, SPARQL query language. Here we will discuss the main obstacles for the QA system in processing the questions a

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Rasiq, G. M. Rasiqul Islam, Abdullah Al Sefat, Tanjila Hossain, Md Israt-E.-Hasan Munna, Jubayeath Jahan Jisha, and Mohammad Moinul Hoque. "Question Answering System over Linked Data: A Detailed Survey." ABC Research Alert 8, no. 1 (2020): 32–47. http://dx.doi.org/10.18034/ra.v8i1.449.

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As the amount of information in the world is growing very quickly, in the case of the semantic web this increasing amount of information is becoming more difficult to find and manage the exact answers to our various questions. To overcome these difficulties some systems have been developed that make it work for us. But there exists many challenges in developing these systems that require a lot of improvement. In this tutorial, we give a basic understanding of Semantic web, RDF triple, SPARQL query language. Here we will discuss the main obstacles for the QA system in processing the questions a

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Aina, Sikirat K., Afolayan A. Obiniyi, and Donfack A. F. Kana. "A Question Answering Framework Based on Hybridization of Deep Learning and Semantic Web Techniques." FUOYE Journal of Engineering and Technology 7, no. 2 (2022): 126–32. http://dx.doi.org/10.46792/fuoyejet.v7i2.827.

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The question answering (QA) system has been existing for several years. QA systems are divided into different processes such as question processing, document processing, paragraph extraction, answer extraction, question analysis, phrase mapping, disambiguation, query construction, querying the Knowledge Base (KB), and result ordering on user response respectively. Based on these processes, many models have been developed using approaches ranging from linguistic, statistical, and pattern matching. Popular models are Feedback, Refinement and Extended VocabularY Aggregation (FREyA), PowerAqua, Se

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Hor, A. H., and G. Sohn. "DESIGN AND EVALUATION OF A BIM-GIS INTEGRATED INFORMATION MODEL USING RDF GRAPH DATABASE." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W2-2021 (October 7, 2021): 175–82. http://dx.doi.org/10.5194/isprs-annals-viii-4-w2-2021-175-2021.

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Abstract. The semantic integration modeling of BIM industry foundations classes and GIS City-geographic markup language are a milestone for many applications that involve both domains of knowledge. In this paper, we propose a system design architecture, and implementation of Extraction, Transformation and Loading (ETL) workflows of BIM and GIS model into RDF graph database model, these workflows were created from functional components and ontological frameworks supporting RDF SPARQL and graph databases Cypher query languages. This paper is about full understanding of whether RDF graph database

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Sellami, Samir, Taoufiq Dkaki, Nacer Eddine Zarour, and Pierre-Jean Charrel. "MidSemI." International Journal of Information System Modeling and Design 10, no. 2 (2019): 1–25. http://dx.doi.org/10.4018/ijismd.2019040101.

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The web diversification into the Web of Data and social media means that companies need to gather all the necessary data to help make the best-informed market decisions. However, data providers on the web publish data in various data models and may equip it with different search capabilities, thus requiring data integration techniques to access them. This work explores the current challenges in this area, discusses the limitations of some existing integration tools, and addresses them by proposing a semantic mediator-based approach to virtually integrate enterprise data with large-scale social

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Neji, Mariem, Fatma Ghorbel, Bilel Gargouri, Nada Mimouni, and Elisabeth Métais. "A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge." International Journal of Information Technology and Web Engineering 17, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijitwe.314571.

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The authors propose a semantic and smart assistance framework for handling linguistic knowledge, called LingFramework. It targets both expert and novice users. It aims to assist the user in understanding the different aspects of the linguistic domain and ease the process of proposing lingware applications. LingFramework is based on a multilingual linguistic domain ontology called LingOnto. It allows (1) representing linguistic data, linguistic processing functionalities and linguistic processing features, and (2) reasoning, via a SWRL-based reasoning engine, about the linguistic knowledge. Cur

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Su-Cheng, Haw, Chew Lit-Jie, Sulistyo Kusumo Dana, Naveen Palanichamy, and Ng Kok-Why. "Mapping of extensible markup language-to-ontology representation for effective data integration." International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 432–42. https://doi.org/10.11591/ijai.v12.i1.pp432-442.

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Extensible markup language (XML) is well-known as the standard for data exchange over the internet. It is flexible and has high expressibility to express the relationship between the data stored. Yet, the structural complexity and the semantic relationships are not well expressed. On the other hand, ontology models the structural, semantic and domain knowledge effectively. By combining ontology with visualization effect, one will be able to have a closer view based on respective user requirements. In this paper, we propose several mapping rules for the transformation of XML into ontology repre

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Sharma, Kumar, Ujjal Marjit, and Utpal Biswas. "Efficiently Processing and Storing Library Linked Data using Apache Spark and Parquet." Information Technology and Libraries 37, no. 3 (2018): 29–49. http://dx.doi.org/10.6017/ital.v37i3.10177.

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Resource Description Framework (RDF) is a commonly used data model in the Semantic Web environment. Libraries and various other communities have been using the RDF data model to store valuable data after it is extracted from traditional storage systems. However, because of the large volume of the data, processing and storing it is becoming a nightmare for traditional data-management tools. This challenge demands a scalable and distributed system that can manage data in parallel. In this article, a distributed solution is proposed for efficiently processing and storing the large volume of libra

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Nikas, Christos, Giorgos Kadilierakis, Pavlos Fafalios, and Yannis Tzitzikas. "Keyword Search over RDF: Is a Single Perspective Enough?" Big Data and Cognitive Computing 4, no. 3 (2020): 22. http://dx.doi.org/10.3390/bdcc4030022.

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Since the task of accessing RDF datasets through structured query languages like SPARQL is rather demanding for ordinary users, there are various approaches that attempt to exploit the simpler and widely used keyword-based search paradigm. However this task is challenging since there is no clear unit of retrieval and presentation, the user information needs are in most cases not clearly formulated, the underlying RDF datasets are in most cases incomplete, and there is not a single presentation method appropriate for all kinds of information needs. As a means to alleviate these problems, in thi

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Sánchez-Cervantes, José Luis, Mateusz Radzimski, Cristian Aaron Rodriguez-Enriquez, et al. "SREQP: A Solar Radiation Extraction and Query Platform for the Production and Consumption of Linked Data from Weather Stations Sensors." Journal of Sensors 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/2825653.

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Nowadays, solar radiation information is provided from sensors installed in different geographic locations and platforms of meteorological agencies. However, common formats such as PDF files and HTML documents to provide solar radiation information do not offer semantics in their content, and they may pose problems to integrate and fuse data from multiple resources. One of the challenges of sensors Web is the unification of data from multiple sources, although this type of information facilitates interoperability with other sensor Web systems. This research proposes architecture SREQP (Solar R

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Bai, Samita, and Shakeel A. Khoja. "Hybrid Query Execution on Linked Data With Complete Results." International Journal on Semantic Web and Information Systems 17, no. 1 (2021): 25–49. http://dx.doi.org/10.4018/ijswis.2021010102.

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The link traversal strategies to query Linked Data over WWW can retrieve up-to-date results using a recursive URI lookup process in real-time. The downside of this approach comes with the query patterns having subject unbound (i.e. ?S rdf:type:Class). Such queries fail to start up the traversal process as the RDF pages are subject-centric in nature. Thus, zero-knowledge link traversal leads to the empty query results for these queries. In this paper, the authors analyze a large corpus of real-world SPARQL query logs and identify the Most Frequent Predicates (MFPs) occurring in these queries. T

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Ławrynowicz, Agnieszka, and Jędrzej Potoniec. "Pattern Based Feature Construction in Semantic Data Mining." International Journal on Semantic Web and Information Systems 10, no. 1 (2014): 27–65. http://dx.doi.org/10.4018/ijswis.2014010102.

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The authors propose a new method for mining sets of patterns for classification, where patterns are represented as SPARQL queries over RDFS. The method contributes to so-called semantic data mining, a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies, rather than only purely empirical data. The authors have developed a tool that implements this approach. Using this the authors have conducted an experimental evaluation including comparison of our method to state-of-the-art approaches to cl

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Haw, Su-Cheng, Lit-Jie Chew, Dana Sulistyo Kusumo, Palanichamy Naveen, and Kok-Why Ng. "Mapping of extensible markup language-to-ontology representation for effective data integration." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 432. http://dx.doi.org/10.11591/ijai.v12.i1.pp432-442.

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<span lang="EN-US">Extensible markup language (XML) is well-known as the standard for data exchange over the Internet. It is flexible and has high expressibility to express the relationship between the data stored. Yet, the structural complexity and the semantic relationships are not well expressed. On the other hand, ontology models the structural, semantic and domain knowledge effectively. By combining ontology with visualization effect, one will be able to have a closer view based on respective user requirements. In this paper, we propose several mapping rules for the transformation o

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Budiantari, Ni Made Julia, and Ngurah Agus Sanjaya ER. "Pengembangan Model Ontologi Cerita Rakyat Bali." Jurnal Nasional Teknologi Informasi dan Aplikasnya 1, no. 3 (2023): 961. https://doi.org/10.24843/jnatia.2023.v01.i03.p23.

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This research aims to develop an ontology related to the domain of Balinese folklore. Balinese folklore is an important part of Bali's cultural heritage and has moral values, as well as being an inspiration in art and performance. Ontology is a method to organize and categorize information in a structured way, and has been widely applied in various fields. However, research on the ontology of Balinese folklore is still limited. This research will propose and develop a comprehensive and structured ontology model for Balinese folklore. The steps to be taken include analysis of relevant ontologie

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Batsakis, Sotiris, Ilias Tachmazidis, and Grigoris Antoniou. "Representing Time and Space for the Semantic Web." International Journal on Artificial Intelligence Tools 26, no. 03 (2017): 1750015. http://dx.doi.org/10.1142/s0218213017600156.

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Representation of temporal and spatial information for the Semantic Web often involves qualitative defined information (i.e., information described using natural language terms such as “before” or “overlaps”) since precise dates or coordinates are not always available. This work proposes several temporal representations for time points and intervals and spatial topological representations in ontologies by means of OWL properties and reasoning rules in SWRL. All representations are fully compliant with existing Semantic Web standards and W3C recommendations. Although qualitative representations

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Afifi Mohamad Safee, Muhammad, Madihah Mohd Saudi, and Kamarudin Saadan. "Ontology Development for Medical and Health Science Domain in the Quran." International Journal of Engineering & Technology 7, no. 4.33 (2018): 504. http://dx.doi.org/10.14419/ijet.v7i4.33.28164.

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Ontology is known as a knowledge representation and acts as a sharing platform for common ideas within a similar domain. It has a tree structure to ease the information presentation to users. Nowadays, it is very important to have a consistent and systematic way of presenting and retrieving different sources of knowledge such as the Quran and Hadith. Since there is so much useful information that can be retrieved from the Quran, especially for the Medical and Health Science domain, this paper presents the development of ontology for the Medical and Health Science domain in the Quran by adoptin

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Sagi, Tomer, Matteo Lissandrini, Torben Bach Pedersen, and Katja Hose. "A design space for RDF data representations." VLDB Journal 31, no. 2 (2022): 347–73. http://dx.doi.org/10.1007/s00778-021-00725-x.

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AbstractRDF triplestores’ ability to store and query knowledge bases augmented with semantic annotations has attracted the attention of both research and industry. A multitude of systems offer varying data representation and indexing schemes. However, as recently shown for designing data structures, many design choices are biased by outdated considerations and may not result in the most efficient data representation for a given query workload. To overcome this limitation, we identify a novel three-dimensional design space. Within this design space, we map the trade-offs between different RDF d

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Kurniawan, Kabul, Andreas Ekelhart, Elmar Kiesling, Dietmar Winkler, Gerald Quirchmayr, and A. Min Tjoa. "VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis." Machine Learning and Knowledge Extraction 4, no. 2 (2022): 371–96. http://dx.doi.org/10.3390/make4020016.

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The integration of heterogeneous and weakly linked log data poses a major challenge in many log-analytic applications. Knowledge graphs (KGs) can facilitate such integration by providing a versatile representation that can interlink objects of interest and enrich log events with background knowledge. Furthermore, graph-pattern based query languages, such as SPARQL, can support rich log analyses by leveraging semantic relationships between objects in heterogeneous log streams. Constructing, materializing, and maintaining centralized log knowledge graphs, however, poses significant challenges. T

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Weichel, Frederic, Urs Eisenmann, Sarah Richter, et al. "A computer-assisted optimization approach for orthognathic surgery planning." Current Directions in Biomedical Engineering 5, no. 1 (2019): 41–44. http://dx.doi.org/10.1515/cdbme-2019-0011.

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AbstractOrthognathic surgery is used to treat misaligned jaws in adults by repositioning them. Intervention planning has to take into account different clinical, anatomical, functional, and aesthetic parameters to determine the optimal position. Current planning systems usually present 3D surface models obtained from a CT or Cone-Beam scan of the patient. The surgeon then interactively positions the upper and lower jaw. Thus, the surgeon can manually optimize anatomical aspects but has to consider functional and aesthetic effects simultaneously, which may be error-prone. We are developing a co

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akazue, Maureen, Ekpewu Comfort, Omede edith, and E. Abel edje. "Development of a Semantic Web Framework for the Blind." International Journal of Innovative Science and Research Technology 8, no. 1 (2023): 1781–89. https://doi.org/10.5281/zenodo.7625363.

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This research addresses some of the important issues related to web accessibility in the context of blind users. The problems of Web data accessibility and navigation for blind users have become an active research field for the past decade. Many techniques have been created to solve them, some are hardware-based and others are software based. Yet, the web is rapidly evolving toward the far-anticipated Semantic Web (SW): a revolutionary vision extending Web information with well-defined meaning so that it becomes more easily accessible by human users and automated processes. As a result, SW tec

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