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Journal articles on the topic 'Ontology language standard'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

PEASE, ADAM, and IAN NILES. "IEEE standard upper ontology: a progress report." Knowledge Engineering Review 17, no. 1 (2002): 65–70. http://dx.doi.org/10.1017/s0269888902000395.

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The IEEE Standard Upper Ontology (IEEE, 2001) is an effort to create a large, general-purpose, formal ontology. The ontology will be an open standard that can be reused for both academic and commercial purposes without fee, and it will be designed to support additional domain-specific ontologies. The effort is targeted for use in automated inference, semantic interoperability between heterogeneous information systems and natural language processing applications. The effort was begun in May 2000 with an e-mail discussion list, and since then there have been over 6000 e-mail messages among 170 s

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Bassiliades, Nick. "A Tool for Transforming Semantic Web Rule Language to SPARQL Infererecing Notation." International Journal on Semantic Web and Information Systems 16, no. 1 (2020): 87–115. http://dx.doi.org/10.4018/ijswis.2020010105.

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Semantic web rule language (SWRL) combines web ontology language (OWL) ontologies with horn logic rules of the rule markup language (RuleML) family. Being supported by ontology editors, rule engines and ontology reasoners, it has become a very popular choice for developing rule-based applications on top of ontologies. However, SWRL is probably not going to become a WWW Consortium standard, prohibiting industrial acceptance. On the other hand, SPARQL Inferencing Notation (SPIN) has become a de-facto industry standard to represent SPARQL rules and constraints on semantic web models, building on

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Zhang, Tie Feng, Shu Juan Han, and Jian Wei Gu. "Modeling and Mapping Implementation of Substation Knowledge Ontology Based on Protégé." Applied Mechanics and Materials 198-199 (September 2012): 786–89. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.786.

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Based on the basic knowledge of ontology and protégé, and the deficiency of semantic expression in the IEC61850 and IEC61970 Standard, this paper puts forward a mapping method from SCL to CIM, adopting Web Ontology Language OWL to build the semantic information model of SCL and CIM of substation knowledge ontology. In substation model, this mapping method could solve the problem of information sharing and interoperation between digitized substation and dispatch master station, and lay a foundation for further research on fusion of the two standards.

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Wang, Gang, Jie Lin, Qing Qi Long, and Zhi Juan Hu. "OWL-Based Description for Agent." Advanced Materials Research 217-218 (March 2011): 1218–23. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.1218.

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This paper presents a detailed formal specification of agents and their properties and abilities,based on the Web Ontology Language (OWL). It allows an agent to be specified entirely using standard mark-up languages from the Semantic Web community, namely RDF, RDF Schemaand OWL. The basic agent components are identified and their implementation using ontology development tools is described.The description improves consistency, interoperability and maintainability of agent program. Therefore,the design errors in the early development stages could be efficiently detected and avoided.

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Pan, Wen Lin. "A Formal EXPRESS-to-OWL Mapping Algorithm." Key Engineering Materials 419-420 (October 2009): 689–92. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.689.

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Network-based collaborative product development has become a trend in manufacturing industry, which depends on two key information technology: the Semantic Web and the standard for the exchange of product model data (STEP). EXPRESS is the STEP product data modeling language, and OWL is the standard ontology representing language used in the Semantic Web. Only when the EXPRESS models are converted to OWL models, product information can be exchanged at the Web. The ontology meta-modeling theory was employed to analysis the ontology definition metamodel of EXPRESS and OWL, in order to build up th

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Staykova, Kamenka, Petya Osenova, and Kiril Simov. "New Applications of “Ontology-to-Text Relation” Strategy for Bulgarian Language." Cybernetics and Information Technologies 12, no. 4 (2012): 43–51. http://dx.doi.org/10.2478/cait-2012-0029.

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Abstract The paper presents new applications of the Ontology-to-Text Relation Strategy to Bulgarian Iconographic Domain. First the strategy itself is discussed within the triple ontology-terminological lexicon-annotation grammars, then - the related works. Also, the specifics of the semantic annotation and evaluation over iconographic data are presented. A family of domain ontologies over the iconographic domain are created and used. The evaluation against a gold standard shows that this strategy is good enough for more precise, but shallow results, and can be supported further by deep parsing

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Vacura, Miroslav. "Modeling artificial agents’ actions in context – a deontic cognitive event ontology." Applied Ontology 15, no. 4 (2020): 493–527. http://dx.doi.org/10.3233/ao-200236.

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Although there have been efforts to integrate Semantic Web technologies and artificial agents related AI research approaches, they remain relatively isolated from each other. Herein, we introduce a new ontology framework designed to support the knowledge representation of artificial agents’ actions within the context of the actions of other autonomous agents and inspired by standard cognitive architectures. The framework consists of four parts: 1) an event ontology for information pertaining to actions and events; 2) an epistemic ontology containing facts about knowledge, beliefs, perceptions

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Li, Yan Ling, Yi Duo Liang, and Jun Zhai. "Fuzzy Knowledge Representation Based on Fuzzy Linguistic Variable Ontology and SWRL on the Semantic Web." Applied Mechanics and Materials 58-60 (June 2011): 1707–11. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1707.

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Ontology is adopted as a standard for knowledge representation on the Semantic Web, and Ontology Web Language (OWL) is used to add structure and meaning to web applications. In order to share and resue the fuzzy knowledge on the Semantic Web, we propose the fuzzy linguistic variables ontology (FLVO), which utilizes ontology to represent formally the fuzzy linguistic variables and defines the semantic relationships between fuzzy concepts. Then fuzzy rules are described in Semantic Web Rule Language (SWRL) on the basis of FLVO model. Taking a sample case for students’ performance in physics for

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Adel, Ebtsam, Shaker El-Sappagh, Sherif Barakat, Jong-Wan Hu, and Mohammed Elmogy. "An Extended Semantic Interoperability Model for Distributed Electronic Health Record Based on Fuzzy Ontology Semantics." Electronics 10, no. 14 (2021): 1733. http://dx.doi.org/10.3390/electronics10141733.

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Semantic interoperability of distributed electronic health record (EHR) systems is a crucial problem for querying EHR and machine learning projects. The main contribution of this paper is to propose and implement a fuzzy ontology-based semantic interoperability framework for distributed EHR systems. First, a separate standard ontology is created for each input source. Second, a unified ontology is created that merges the previously created ontologies. However, this crisp ontology is not able to answer vague or uncertain queries. We thirdly extend the integrated crisp ontology into a fuzzy onto

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Espinoza, Angelina, Ernesto Del-Moral, Alfonso Martínez-Martínez, and Nour Alí. "A validation & verification driven ontology: An iterative process." Applied Ontology 16, no. 3 (2021): 297–337. http://dx.doi.org/10.3233/ao-210251.

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Designing an ontology that meets the needs of end-users, e.g., a medical team, is critical to support the reasoning with data. Therefore, an ontology design should be driven by the constant and efficient validation of end-users needs. However, there is not an existing standard process in knowledge engineering that guides the ontology design with the required quality. There are several ontology design processes, which range from iterative to sequential, but they fail to ensure the practical application of an ontology and to quantitatively validate end-user requirements through the evolution of

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Wang, Yu Hua, Gui Sheng Yin, and Hai Tao Zhang. "Research on Conversion Method of Ontology Based Formal Requirements Model to UML Requirements Document." Advanced Materials Research 268-270 (July 2011): 1086–91. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1086.

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In the process of requirements modeling based on ontology, the obtained model description is based on application ontology; which is not easy for designer to understand and cannot be converted into requirements specification documents for design. UML is actual standard for object-oriented modeling. For this issue, this paper creates the UML meta-model, and establishes mapping rules description language for application ontology to UML meta-element, which implements the generation of UML class diagrams based on rule, use case diagrams, state transition diagram models and requirements specificati

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Borisova, N. "An Approach for Ontology Based Information Extraction." Information Technologies and Control 12, no. 1 (2014): 15–20. http://dx.doi.org/10.1515/itc-2015-0007.

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Abstract An approach for Ontology based Information Extraction (OBIE) from unstructured text in the Bulgarian language is presented in this paper. The presented method and algorithm provide a solution for automatic data extraction from text documents exploiting ontologies. To this end, in addition to the standard tools for processing language resources in an open source free software, a dictionary-based lemmatizer for Bulgarian has been developed and integrated. It is distributed as free software, publicly available to download and use under the GPL v3 license. Due to the specifics of inflecti

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Stevens, Robert, Chris Wroe, Sean Bechhofer, Phillip Lord, Alan Rector, and Carole Goble. "Building Ontologies in DAML + OIL." Comparative and Functional Genomics 4, no. 1 (2003): 133–41. http://dx.doi.org/10.1002/cfg.233.

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In this article we describe an approach to representing and building ontologies advocated by the Bioinformatics and Medical Informatics groups at the University of Manchester. The hand-crafting of ontologies offers an easy and rapid avenue to delivering ontologies. Experience has shown that such approaches are unsustainable. Description logic approaches have been shown to offer computational support for building sound, complete and logically consistent ontologies. A new knowledge representation language, DAML + OIL, offers a new standard that is able to support many styles of ontology, from ha

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Mukhopadhyay, Alolika, and Farhad Ameri. "An ontological approach to engineering requirement representation and analysis." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 4 (2016): 337–52. http://dx.doi.org/10.1017/s0890060416000330.

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AbstractRequirement planning is one of the most critical tasks in the product development process. Despite its significant impact on the outcomes of the design process, engineering requirement planning is often conducted in an ad hoc manner without much structure. In particular, the requirement planning phase suffers from a lack of quantifiable measures for evaluating the quality of the generated requirements and also a lack of structure and formality in representing engineering requirements. The main objective of this research is to develop a formal Web Ontology Language ontology for standard

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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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Soldatova, Larisa N., and Ross D. King. "An ontology of scientific experiments." Journal of The Royal Society Interface 3, no. 11 (2006): 795–803. http://dx.doi.org/10.1098/rsif.2006.0134.

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The formal description of experiments for efficient analysis, annotation and sharing of results is a fundamental part of the practice of science. Ontologies are required to achieve this objective. A few subject-specific ontologies of experiments currently exist. However, despite the unity of scientific experimentation, no general ontology of experiments exists. We propose the ontology EXPO to meet this need. EXPO links the SUMO (the Suggested Upper Merged Ontology) with subject-specific ontologies of experiments by formalizing the generic concepts of experimental design, methodology and result

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Peng, Cong, and Prashant Goswami. "Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology." Sensors 19, no. 8 (2019): 1747. http://dx.doi.org/10.3390/s19081747.

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The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interopera

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Mishra, Sanju, and Sarika Jain. "An Intelligent Knowledge Treasure for Military Decision Support." International Journal of Web-Based Learning and Teaching Technologies 14, no. 3 (2019): 55–75. http://dx.doi.org/10.4018/ijwltt.2019070105.

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Information integration is great for military operations because the range of pertinent information sources is significantly distinct and dynamic. This article develops an intelligent knowledge treasure comprised of military resource ontology and procedures, as a learning model for better interoperability of heterogeneous resources of the Indian military. This model can interpret and learn the context of military information automatically, thereby facilitating the military commanders with decision making in several operations, such as command and control, teaching and training, military coalit

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Christodoulou, Yannis, Angelos Yannopoulos, Effie J. Bountris, and Theodora Varvarigou. "Ontology-Driven Interactive Visualization of Film Production Complexity Using a Visual Language." International Journal on Semantic Web and Information Systems 12, no. 2 (2016): 100–122. http://dx.doi.org/10.4018/ijswis.2016040105.

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Early, effective director-producer communication enables detection of resource-demanding film production requirements so that a workable production plan can be formed. Traditional communication tools are limited to articulating standard production elements as lists. Yet, production complexity can be affected by latent variables with indirect impact which remain unarticulated. An ontology-driven, interactive visualization system is proposed for exposing production complexity. The system is built upon a visual language for recording directorial choices, employed for system input. By exploiting O

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Cross, Valerie, and Vishal Bathija. "Automatic ontology creation using adaptation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 1 (2009): 127–41. http://dx.doi.org/10.1017/s0890060409000183.

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AbstractOntologies are an emerging means of knowledge representation to improve information organization and management, and they are becoming more prevalent in the domain of engineering design. The task of creating new ontologies manually is not only tedious and cumbersome but also time consuming and expensive. Research aimed at addressing these problems in creating ontologies has investigated methods of automating ontology reuse mainly by extracting smaller application ontologies from larger, more general purpose ontologies. Motivated by the wide variety of existing learning algorithms, this

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Malty, Andrew M., Sandeep K. Jain, Peter C. Yang, Krysten Harvey, and Jeremy L. Warner. "Computerized Approach to Creating a Systematic Ontology of Hematology/Oncology Regimens." JCO Clinical Cancer Informatics, no. 2 (December 2018): 1–11. http://dx.doi.org/10.1200/cci.17.00142.

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Purpose The systemic treatment of cancer is primarily through the administration of complex chemotherapy protocols. To date, this knowledge has not been systematized, because of the lack of a consistent nomenclature and the variation in which regimens are documented. For example, recording of treatment events in electronic health record notes is often through shorthand and acronyms, limiting secondary use. A standardized hierarchic ontology of cancer treatments, mapped to standard nomenclatures, would be valuable to a variety of end users. Methods We leveraged the knowledge contained in a larg

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Lisin, V. A., and E. A. Sidorova. "Web Platform for Folklore Research Based on Domain Ontology." Vestnik NSU. Series: Information Technologies 19, no. 2 (2021): 53–64. http://dx.doi.org/10.25205/1818-7900-2021-19-2-53-64.

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In this paper, we take a close look at a web platform that provides the tools necessary for working with folklore materials and conducting scientific research based on them. Folklore studies consist of working with audio and video materials, which contain the reproduction of elements of folk art in national languages, creating specific text recordings with translation and comments, written in a public language, and building a picture of the worlds based on available resources. To structure and present this content, we use an ontology-based approach, which allows linguists to describe not only

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Varde, Aparna S., Mohammed Maniruzzaman, and Richard D. Sisson. "QuenchML: A semantics-preserving markup language for knowledge representation in quenching." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 27, no. 1 (2013): 65–82. http://dx.doi.org/10.1017/s0890060412000352.

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AbstractKnowledge representation (KR) is an important area in artificial intelligence (AI) and is often related to specific domains. The representation of knowledge in domain-specific contexts makes it desirable to capture semantics as domain experts would. This motivates the development of semantics-preserving standards for KR within the given domain. In addition to the storage and analysis of information using such standards, the effect of globalization today necessitates the publishing of information on the Web. Thus, it is advisable to use formats that make the information easily publishab

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Biniz, Mohamed, and Rachid El Ayachi. "Optimizing Ontology Alignments by Using Neural NSGA-II." Journal of Electronic Commerce in Organizations 16, no. 1 (2018): 29–42. http://dx.doi.org/10.4018/jeco.2018010103.

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In this article, the authors propose a new hybrid approach based on a continuous Non-dominated Sorting Genetic Algorithm II (NSGA-II) and a neural network to refine the alignment results. This approach consists of three phases: (i) pre-alignment phase which allows to identify the formats of input ontologies, to adapt them and to transform them into Ontology Web Language (OWL) in order to solve the problem of heterogeneity of representation. (ii) alignment phase which combines syntactic and linguistic matching techniques and methods, based on the relevant attributes per different points of synt

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Bogoslovskaya, Natalya Valentinovna, and Aleksandr Viktorovich Brzhezovskiy. "Ontology as a Term System of BPMN Notation." Development of education 4, no. 1 (2021): 40–46. http://dx.doi.org/10.31483/r-97797.

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Introduction. Business Process Model and Notation (BPMN) is widely used standard for modeling business processes and supported by the Object-Oriented Technology Specification Management Group (OMG). However, the BPMN 2.0 specification is quite lengthy and contains over 500 pages. Item definitions are scattered across different sections of the specification and sometimes conflict. In addition, the structure of elements and their relationships are described in the form of metamodel, but further syntactic rules are defined within the natural language text. The purpose. This article proposes an on

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Moltmann, Friederike. "Truthmaker semantics for natural language: Attitude verbs, modals, and intensional transitive verbs." Theoretical Linguistics 46, no. 3-4 (2020): 159–200. http://dx.doi.org/10.1515/tl-2020-0010.

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Abstract This paper gives an outline of truthmaker semantics for natural language against the background of standard possible-worlds semantics. It develops a truthmaker semantics for attitude reports and deontic modals based on an ontology of attitudinal and modal objects and on a semantic function of clauses as predicates of such objects. The semantics is applied to factive verbs and response-stance verbs as well as to cases of modal concord. The paper also presents new motivations for ‘object-based truthmaker semantics’ from intensional transitive verbs such as need, look for, own, and buy a

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LEE, SEOK-WON, DIVYA MUTHURAJAN, ROBIN A. GANDHI, DEEPAK YAVAGAL, and GAIL-JOON AHN. "BUILDING DECISION SUPPORT PROBLEM DOMAIN ONTOLOGY FROM NATURAL LANGUAGE REQUIREMENTS FOR SOFTWARE ASSURANCE." International Journal of Software Engineering and Knowledge Engineering 16, no. 06 (2006): 851–84. http://dx.doi.org/10.1142/s0218194006003051.

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The process of engineering software-intensive systems that comply with their Certification and Accreditation (C&A) requirements involves many critical decision-making activities for the related stakeholders. Considering the exhaustive nature of C&A activities together with the complexity of software-intensive systems, effective decision making relies heavily on the ways to understand and structure the problem domain concepts concerning decision points for interpretation, applicability, scope, evaluation, and impact of the enforced C&A requirements. These decision points are further

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Davis, Brian, Pradeep Dantuluri, Siegfried Handschuh, and Hamish Cunningham. "Towards Controlled Natural Language for Semantic Annotation." International Journal on Semantic Web and Information Systems 6, no. 4 (2010): 64–91. http://dx.doi.org/10.4018/jswis.2010100103.

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Richly interlinked metadata constitute the foundation of the Semantic Web. Manual semantic annotation is a labor intensive task requiring training in formal ontological descriptions for the otherwise non-expert user. Although automatic annotation tools attempt to ease this knowledge acquisition barrier, their development often requires access to specialists in Natural Language Processing (NLP). This challenges researchers to develop user-friendly annotation environments. Controlled Natural Languages (CNLs) offer an incentive to the novice user to annotate, while simultaneously authoring his/he

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Deborah, Lazarus Jegatha, Ramachandran Baskaran, and Arputharaj Kannan. "Deontic Logic Based Ontology Alignment Technique for E-Learning." International Journal of Intelligent Information Technologies 8, no. 3 (2012): 56–72. http://dx.doi.org/10.4018/jiit.2012070104.

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The recent explosion in web services usage and information technology has led to the challenging issue of Ontology Construction and Alignment in order to enhance the semantics of web documents in E-Learning scenarios. In such a circumstance, it is necessary to provide an effective solution for Ontology Alignment that can help in student performance evaluation. The authors propose a rule-based solution for evaluating the students using Ontology Alignment techniques. For this purpose, they make use of the rules based on Deontic Logic and hence make a positive attempt in analyzing the presence of

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Shoenbill, Kimberly, Yiqiang Song, Lisa Gress, Heather Johnson, Maureen Smith, and Eneida A. Mendonca. "Natural language processing of lifestyle modification documentation." Health Informatics Journal 26, no. 1 (2019): 388–405. http://dx.doi.org/10.1177/1460458218824742.

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Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment of many disorders including hypertension, obesity, and diabetes. Lifestyle modification data are not easily retrieved or used in research due to their textual nature. This study addresses this knowledge gap using natural language processing to automatically identify lifestyle modification documentation from electronic health records. Electronic health record notes from hypertension patients were analyzed using an open-source natural language processing tool to retrieve assessment and advice reg

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Islam, A. K. M. Saiful, and Michael Piasecki. "A generic metadata description for hydrodynamic model data." Journal of Hydroinformatics 8, no. 2 (2006): 141–48. http://dx.doi.org/10.2166/hydro.2006.017b.

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Sharing of data sets between numerical models is considered an important and pressing issue in the modeling community, because of (i) the time consumed to convert data sets and (ii) the need to connect different types of numerical codes to better map inter-connectedness of aquatic domains. One of the reasons for the data sharing problem arises from the lack of sufficient description of the data, or lack of metadata, which is due to the absence of a standardized framework for these metadata sets. This paper describes the development of a metadata framework for hydrodynamic data descriptions usi

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Herrero-Zazo, María, Isabel Segura-Bedmar, Janna Hastings, and Paloma Martínez. "Application of Domain Ontologies to Natural Language Processing." International Journal of Information Retrieval Research 5, no. 3 (2015): 19–38. http://dx.doi.org/10.4018/ijirr.2015070102.

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Natural Language Processing (NLP) techniques can provide an interesting way to mine the growing biomedical literature, and a promising approach for new knowledge discovery. However, the major bottleneck in this area is that these systems rely on specific resources providing the domain knowledge. Domain ontologies provide a contextual framework and a semantic representation of the domain, and they can contribute to a better performance of current NLP systems. However, their contribution to information extraction has not been well studied yet. The aim of this paper is to provide insights into th

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MARCHYSHYNA, Alla Anatolii, and Anatolii SKRYPNYK. "Queer: a Philosophy Phenomenon, a Social Construct, a Language Sign." WISDOM 12, no. 1 (2019): 17–25. http://dx.doi.org/10.24234/wisdom.v12i1.228.

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The paper considers ontology of queer as interpreted in philosophy, social studies and language. The short history of the analysed concept sheds light on transformations of its semantic structure. Queer is viewed inseparably from gender theory where it gets apparent representation as a queer gender identity. The diffusive and trespassing nature makes queer contrary to stable and traditionally immutable sex/gender dichotomy with the normative male/female components. Queer violation of this long-established standard results in revolutionary shifts in the philosophy of human sex/gender freedom of

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Kügler, Patricia, Max Marian, Benjamin Schleich, Stephan Tremmel, and Sandro Wartzack. "tribAIn—Towards an Explicit Specification of Shared Tribological Understanding." Applied Sciences 10, no. 13 (2020): 4421. http://dx.doi.org/10.3390/app10134421.

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Within the domain of tribology, the science and technology for understanding and controlling friction, lubrication, and wear of relatively moving interacting surfaces, countless experiments are carried out and their results are published worldwide. Due to the variety of test procedures and a lack of consistency in the terminology as well as the practice of publishing results in the natural language, accessing and reusing tribological knowledge is time-consuming and experiments are hardly comparable. However, for the selection of potential tribological pairings according to given requirements a

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McCray, Alexa T. "An Upper-Level Ontology for the Biomedical Domain." Comparative and Functional Genomics 4, no. 1 (2003): 80–84. http://dx.doi.org/10.1002/cfg.255.

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At the US National Library of Medicine we have developed the Unified Medical Language System (UMLS), whose goal it is to provide integrated access to a large number of biomedical resources by unifying the vocabularies that are used to access those resources. The UMLS currently interrelates some 60 controlled vocabularies in the biomedical domain. The UMLS coverage is quite extensive, including not only many concepts in clinical medicine, but also a large number of concepts applicable to the broad domain of the life sciences. In order to provide an overarching conceptual framework for all UMLS

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Ma, Zongmin, Haitao Cheng, and Li Yan. "Automatic Construction of OWL Ontologies From Petri Nets." International Journal on Semantic Web and Information Systems 15, no. 1 (2019): 21–51. http://dx.doi.org/10.4018/ijswis.2019010102.

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Ontology, as a formal representation method of domain knowledge, plays a particular important key role in semantic web. How to construct ontologies has become a key technology in the semantic web, especially constructing ontologies from existing domain knowledge. Currently, Petri nets have been a mathematical modeling tool, and have been widely studied and successfully applied in modeling of software engineering, database and artificial intelligence. In particular, PNML (Petri Net Markup Language) language has been a part of ISO/IEC Petri nets standard for representing and exchanging data on P

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Jetlund, Onstein, and Huang. "Adapted Rules for UML Modelling of Geospatial Information for Model-Driven Implementation as OWL Ontologies." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 365. http://dx.doi.org/10.3390/ijgi8090365.

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This study aims to improve the implementation of models of geospatial information in Web Ontology Language (OWL). Large amounts of geospatial information are maintained in Geographic Information Systems (GIS) based on models according to the Unified Modeling Language (UML) and standards from ISO/TC 211 and the Open Geospatial Consortium (OGC). Sharing models and geospatial information in the Semantic Web will increase the usability and value of models and information, as well as enable linking with spatial and non-spatial information from other domains. Methods for conversion from UML to OWL f

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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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TALLIS, MARCELO, RAND WALTZMAN, and ROBERT BLAZER. "Adding deductive logic to a COTS spreadsheet." Knowledge Engineering Review 22, no. 3 (2007): 255–68. http://dx.doi.org/10.1017/s0269888907001166.

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AbstractWe exploit the spreadsheet metaphor to make deductive problem-solving methods available to the vast population of spreadsheet end-users. In particular, we show how the function-based problem-solving capabilities of spreadsheets can be extended to include logical deductive methods in a way that is consistent with the existing spreadsheet ‘look and feel’. The foundation of our approach is the integration of a standard deductive logic system into a successful Commercial-Off-The-Shelf (COTS) spreadsheet. We have demonstrated this by designing and implementing an extension to Excel that man

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Xu, Da, Mohamed Hedi Karray, and Bernard Archimède. "A semantic-based decision support platform to assist products’ eco-labeling process." Industrial Management & Data Systems 117, no. 7 (2017): 1340–61. http://dx.doi.org/10.1108/imds-09-2016-0405.

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Purpose With the rising concern of safety, health and environmental performance, eco-labeled product and service are becoming more and more popular. However, the long and complex process of eco-labeling sometimes demotivates manufacturers and service providers to be certificated. The purpose of this paper is to propose a decision support platform aiming at further improvement and acceleration of the eco-labeling process in order to democratize a broader application and certification of eco-labels, also to consolidate the credibility and validity of eco-labels. Design/methodology/approach This

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Takan, Savaş, and Jens Allmer. "DNMSO; an ontology for representing de novo sequencing results from Tandem-MS data." PeerJ 8 (October 21, 2020): e10216. http://dx.doi.org/10.7717/peerj.10216.

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For the identification and sequencing of proteins, mass spectrometry (MS) has become the tool of choice and, as such, drives proteomics. MS/MS spectra need to be assigned a peptide sequence for which two strategies exist. Either database search or de novo sequencing can be employed to establish peptide spectrum matches. For database search, mzIdentML is the current community standard for data representation. There is no community standard for representing de novo sequencing results, but we previously proposed the de novo markup language (DNML). At the moment, each de novo sequencing solution u

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Arachchige, Jeewanie Jayasinghe, Hans Weigand, and Manfred Jeusfeld. "Business Service Modeling for the Service-Oriented Enterprise." International Journal of Information System Modeling and Design 3, no. 1 (2012): 1–22. http://dx.doi.org/10.4018/ijismd.2012010101.

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Service-oriented architectures are the upcoming business standard for realizing enterprise information systems, thus creating a need for analysis and design methods that are truly service-oriented. Most research on this topic so far takes a strict software engineering perspective. For a proper alignment between the business and the IT, a service perspective at the business level is needed as well. Using an MDA approach, this paper introduces a new business service and resource modeling language – BSRM, based on the REA business ontology. Coordination services are identified as boundary objects

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Kurbatov, Sergeyi S. "Linguistic Processor Integration for Solving Planimetric Problems." International Journal of Cognitive Informatics and Natural Intelligence 15, no. 4 (2021): 1–14. http://dx.doi.org/10.4018/ijcini.20211001.oa37.

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The research deals with the original algorithms of the linguistic processor integration for solving planimetric problems. The linguistic processor translates the natural language description of the problem into a semantic representation based on the ontology that supports the axiomatics of geometry. The linguistic processor synthesizes natural-language comments to the solution and drawing objects. The method of interactive visualization of the linguistic processor functioning is proposed. The method provides a step-by-step dialog control of syntactic structure construction and its display in s

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Otmani, Nassim Abdeldjallal, Malik Si-Mohammed, Catherine Comparot, and Pierre-Jean Charrel. "Ontology-based approach to enhance medical web information extraction." International Journal of Web Information Systems 15, no. 3 (2019): 359–82. http://dx.doi.org/10.1108/ijwis-03-2018-0017.

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Purpose The purpose of this study is to propose a framework for extracting medical information from the Web using domain ontologies. Patient–Doctor conversations have become prevalent on the Web. For instance, solutions like HealthTap or AskTheDoctors allow patients to ask doctors health-related questions. However, most online health-care consumers still struggle to express their questions efficiently due mainly to the expert/layman language and knowledge discrepancy. Extracting information from these layman descriptions, which typically lack expert terminology, is challenging. This hinders th

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Sinha, Bhaskar, Somnath Chandra, and Megha Garg. "Development of ontology from Indian agricultural e-governance data using IndoWordNet: a semantic web approach." Journal of Knowledge Management 19, no. 1 (2015): 25–44. http://dx.doi.org/10.1108/jkm-10-2014-0441.

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Purpose – The purpose of this explorative research study is to focus on the implementation of semantic Web technology on agriculture domain of e-governance data. The study contributes to an understanding of problems and difficulties in implantations of unstructured and unformatted unique datasets of multilingual local language-based electronic dictionary (IndoWordnet). Design/methodology/approach – An approach to an implementation in the perspective of conceptual logical concept to realization of agriculture-based terms and terminology extracted from linked multilingual IndoWordNet while maint

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Passi, Kalpdrum, and Hongtao Zhao. "A Decision Support System (DSS) for Colorectal Cancer Follow-Up Program via a Semantic Framework." International Journal of Healthcare Information Systems and Informatics 10, no. 1 (2015): 17–38. http://dx.doi.org/10.4018/ijhisi.2015010102.

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This paper offers insights into evolving a decision support system (DSS) to aid primary care physicians and/or nurses in the post-surgical care of patients with Colorectal Cancer in a clinical setting. Presently, the oncologists in the cancer center, who are familiar with the Clinical Practice Guidelines (CPGs), are primarily responsible for the provision of follow-up care to their patients on the basis of the CPGs; in contrast, the attending primary care physician and/or nurse assisting the oncologist may be unfamiliar with these guidelines. These caregivers would, therefore, either require h

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Wenzu, Li. "Ontological approach to automatic generation of questions in intelligent learning systems." Doklady BGUIR 18, no. 5 (2020): 44–52. http://dx.doi.org/10.35596/1729-7648-2020-18-5-44-52.

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This article proposes an approach for designing a general subsystem of automatic generation of questions in intelligent learning systems. The designed subsystem allows various types of questions to be automatically generated based on information from the knowledge bases and save the generated questions in the subsystem knowledge base for future use. The main part of the subsystem is the automatic generation module of questions, which allows one to generate questions of various types based on existing question generation strategies in combination with the structural characteristics of knowledge

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Li, Fang, Guozheng Rao, Jingcheng Du, et al. "Ontological representation–oriented term normalization and standardization of the Research Domain Criteria." Health Informatics Journal 26, no. 2 (2019): 726–37. http://dx.doi.org/10.1177/1460458219832059.

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The Research Domain Criteria, launched by the National Institute of Mental Health, is a new dimensional and interdisciplinary research framework for mental disorders. The Research Domain Criteria matrix is its core part. Since an ontology has the strengths of supporting semantic inferencing and automatic data processing, we would like to transform the Research Domain Criteria matrix into an ontological structure. In terms of data normalization, which is the essential part of an ontology representation, the Research Domain Criteria elements (mainly in the Units of Analysis) have some limitation

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Orilia, Francesco. "Property theory and the revision theory of definitions." Journal of Symbolic Logic 65, no. 1 (2000): 212–46. http://dx.doi.org/10.2307/2586533.

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§1. Introduction. Russell's type-theory can be seen as a theory of properties, relations, and propositions (PRPs) (in short, a property theory). It relies on rigid type distinctions at the grammatical level to circumvent the property theorist's major problem, namely Russell's paradox, or, more generally, the paradoxes of predication. Type theory has arguably been the standard property theory for years, often taken for granted, and used in many applications. In particular, Montague [27] has shown how to use a type-theoretical property-theory as a foundation for natural language semantics.In rec

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Zhang, Yinsheng, Guoming Zhang, and Qian Shang. "Computer-Aided Clinical Trial Recruitment Based on Domain-Specific Language Translation: A Case Study of Retinopathy of Prematurity." Journal of Healthcare Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/7862672.

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Reusing the data from healthcare information systems can effectively facilitate clinical trials (CTs). How to select candidate patients eligible for CT recruitment criteria is a central task. Related work either depends on DBA (database administrator) to convert the recruitment criteria to native SQL queries or involves the data mapping between a standard ontology/information model and individual data source schema. This paper proposes an alternative computer-aided CT recruitment paradigm, based on syntax translation between different DSLs (domain-specific languages). In this paradigm, the CT

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