Journal articles: 'Distributed ontology'

1

Liu, Kun, Liang Zhang, Sheng Qun Tang, and Xue Qin. "A Revised Distributed Interpretation for Ontology Integration." Advanced Materials Research 756-759 (September 2013): 3440–45. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3440.

Full text

Abstract:

Under the background of information integration, the semantics of ontology integration is still an open issue. In this paper, we propose a revised distributed interpretation which is adapted from distributed description logics. In our proposal, ontology integration is taken as global ontology and local ontologies connected by ontology mapping. They are respectively interpreted with DL semantics and Semantic Import semantics. In this way, our method can facilitate understanding and maintenance of ontology integration.

APA, Harvard, Vancouver, ISO, and other styles

2

Zhang, Ming E., and Hui Zhang. "Applied-Information Technology in Design of Ontology Integration of Clinical Medicine and Diagnosis System Based on Knowledge Management." Advanced Materials Research 978 (June 2014): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amr.978.197.

Full text

Abstract:

Study on the clinical medical knowledge engineering, aims to build a large-scale, shared, reusable medical knowledge base, so as to provide the intelligent expert system of medicine, medical information retrieval system, medical education, medical natural language understanding etc.. In this paper, based on ontology integration technology, proposes an ontology integration of clinical medical knowledge management and computer-aided diagnosis system framework based on distributed ontology integration, and the technologies related to the knowledge management system is researched deeply, proposes a distributed ontology integration method based on semantics, in order to solve the information can not be shared between distributed information the distribution system and the problem of ontology integration, build a semantic platform can share the definition, design distributed ontology integration adapter, a reduction algorithm was proposed for distributed ontology integration relation, the ontology integration, reduce the redundant relation integrated ontology language, improving the quality and efficiency of ontology integration.

APA, Harvard, Vancouver, ISO, and other styles

3

Ras, Z. "Ontology-based distributed autonomous knowledge systems." Information Systems 29, no. 1 (March 2004): 47–58. http://dx.doi.org/10.1016/s0306-4379(03)00033-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Randall, Dave, Rob Procter, Yuwei Lin, Meik Poschen, Wes Sharrock, and Robert Stevens. "Distributed ontology building as practical work." International Journal of Human-Computer Studies 69, no. 4 (April 2011): 220–33. http://dx.doi.org/10.1016/j.ijhcs.2010.12.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

CHEN, YUH-JEN, YUH-MIN CHEN, YUNG-SHENG SU, and CHIUN-CHENG WEN. "ONTOLOGY-BASED DISTRIBUTED CASE-BASED REASONING IN VIRTUAL ENTERPRISES." International Journal of Software Engineering and Knowledge Engineering 19, no. 08 (December 2009): 1039–82. http://dx.doi.org/10.1142/s0218194009004544.

Full text

Abstract:

Given the advent of knowledge-based economies and virtual-enterprise business models, enterprises get the knowledge not only from themselves but also from others. Distributed case-based reasoning systems (DCBRS) play important roles in knowledge-driven virtual enterprises by supporting knowledge sharing. This study develops a novel mechanism for ontology-based distributed case-based reasoning using ontology and a proposed multistage algorithm to effectively support knowledge sharing within a virtual enterprise environment. Tasks involved in this study are as follows: (i) design an ontology-based distributed case-based reasoning architecture and procedure, (ii) develop techniques related to the ontology-based distributed case-based reasoning, and (iii) implement an ontology-based distributed case-based reasoning mechanism. Developing methods associated with ontology-based distributed case-based reasoning involves the definition and representation of a user query model, definition and representation of a knowledge case model, definition and establishment of knowledge case index structure, and development of a distributed knowledge case retrieval and knowledge case adaptation methods. Study results will facilitate heterogeneous knowledge sharing among enterprises participating in a virtual enterprise.

APA, Harvard, Vancouver, ISO, and other styles

6

Saba, Farzaneh, and Yasser Mohamed. "An ontology-driven framework for enhancing reusability of distributed simulation modeling of industrial construction processes." Canadian Journal of Civil Engineering 40, no. 9 (September 2013): 917–26. http://dx.doi.org/10.1139/cjce-2011-0489.

Full text

Abstract:

This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation modeling application tool. Within the paper, ontology driven approach and mapping of ontologies for information transference between simulation components has been described. Another discussed application of ontologies is structuring of simulation modeling development through use of reusable elements. A large-scale distributed simulation model of industrial construction processes has been outlined to illustrate the application of the approach.

APA, Harvard, Vancouver, ISO, and other styles

7

Lazarre, Warda, Kaladzavi Guidedi, Samdalle Amaria, and Kolyang. "Modular Ontology Design: A State-of-Art of Diseases Ontology Modeling and Possible Issue." Revue d'Intelligence Artificielle 36, no. 3 (June 30, 2022): 497–501. http://dx.doi.org/10.18280/ria.360319.

Full text

Abstract:

The evolution of ontological engineering leaded authors to use some techniques of software engineering to design ontologies. Are obtained from these techniques the monolithic or modularized Ontologies. When is difficult to reuse some concepts of monolithic ontologies, modularized Ontologies facilitate ontology management, understandability and reuse. This paper aims to survey on ontology modularization techniques and their contribution in biomedical ontologies design. Modularization reposed on appropriated techniques and some challenges related to ontology reused, scalable querying, collaborative authoring, and distributed reasoning. For most of disease ontologies, more especially ontologies which reused IDO, these challenges are not considered, and most of them are implemented with OWL language and the novel mode to construct ontology’s purpose is to facilitate reuse and interoperability of ontologies ensured by modularization.

APA, Harvard, Vancouver, ISO, and other styles

8

Yang, Soo Mi. "Efficient Ontology Integration Model for Better Inference in Context Aware Computing." Advanced Materials Research 268-270 (July 2011): 841–46. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.841.

Full text

Abstract:

In this paper, we describe efficient ontology integration model for better context inference based on distributed ontology framework. Context aware computing with inference based on ontology is widely used in distributed surveillance environment. In such a distributed surveillance environment, surveillance devices such as smart cameras may carry heterogeneous video data with different transmission ranges, latency, and formats. However even smart devices, they generally have small memory and power which can manage only part of ontology data. In our efficient ontology integration model, each of agents built in such devices get services not only from a region server, but also peer servers. For such a collaborative network, an effective cache framework that can handle heterogeneous devices is required for the efficient ontology integration. In this paper, we propose a efficient ontology integration model which is adaptive to the actual device demands and that of its neighbors. Our scheme shows the efficiency of model resulted in better context inference.

APA, Harvard, Vancouver, ISO, and other styles

9

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 (July 19, 2021): 1733. http://dx.doi.org/10.3390/electronics10141733.

Full text

Abstract:

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 ontology by using a standard methodology and fuzzy logic to handle this limitation. The used dataset includes identified data of 100 patients. The resulting fuzzy ontology includes 27 class, 58 properties, 43 fuzzy data types, 451 instances, 8376 axioms, 5232 logical axioms, 1216 declarative axioms, 113 annotation axioms, and 3204 data property assertions. The resulting ontology is tested using real data from the MIMIC-III intensive care unit dataset and real archetypes from openEHR. This fuzzy ontology-based system helps physicians accurately query any required data about patients from distributed locations using near-natural language queries. Domain specialists validated the accuracy and correctness of the obtained results.

APA, Harvard, Vancouver, ISO, and other styles

10

Choukri, Djellali. "A New Distributed Expert System to Ontology Evaluation." Procedia Computer Science 37 (2014): 48–55. http://dx.doi.org/10.1016/j.procs.2014.08.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Wan, Neng, Ke Du, Rong Mo, and Gongnan Xie. "A “Model to Model” Collaborative Perception Methodology for Distributed Design." Advances in Mechanical Engineering 6 (January 1, 2014): 520672. http://dx.doi.org/10.1155/2014/520672.

Full text

Abstract:

To solve the problem of collaborative engineering changes of models distributed in heterogeneous design platforms, a “model to model” perception methodology is proposed in this paper. A self-management collaborative architecture is presented by peer to peer architecture and multiagent system. The network addresses correlation between heterogeneous platforms is built up by the perception router ontology. In the same way, the correlation between design models is described by the feature relation ontology. The design changes are encapsulated by the model modification ontology. Along with the ontology above, the design change search method is devised to catch the geometric changes; the influence search method is proposed to discover the influenced design feature and the design change adapting method is used to preserve the correlation coherence after perception. Through the work, the conventional design perception mode among designers has transformed into direct perception among models instead.

APA, Harvard, Vancouver, ISO, and other styles

12

Wang, Shuying, Kevin P. Brown, Jinghui Lu, and Miriam Capretz. "A Reference Ontology Based Approach for Service Oriented Semantic Interoperability." International Journal of Web Portals 3, no. 1 (January 2011): 1–16. http://dx.doi.org/10.4018/jwp.2011010101.

Full text

Abstract:

To establish effective information exchange among applications in a distributed environment, participants not only share their functions and service interfaces, but often exchange data models. This paper proposes the use of ontologies to represent data models thus allowing applications to locate and integrate these models. A reference ontology based approach for service oriented ontology management is introduced. Specifically, a domain-specific reference ontology for use in the evaluation of a practical case is developed. To validate and evaluate the approach, a prototype system is developed to provide ontology deploying, browsing and mapping operations based on a service-oriented system. Experiments provide promising results that are consistent with the original ideas of managing ontologies and optimizing ontology mappings to facilitate data interoperability in a distributed environment.

APA, Harvard, Vancouver, ISO, and other styles

13

Nepsha, Fedor S., Alexei A. Nebera, Alexander A. Andrievsky, and Mikhail I. Krasilnikov. "Development of an Ontology for Smart Distributed Energy Systems *." IFAC-PapersOnLine 55, no. 9 (2022): 454–59. http://dx.doi.org/10.1016/j.ifacol.2022.07.079.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Al-Ghamdi, Najood, Mostafa Saleh, and Fathy Eassa. "Ontology-Based Query in Heterogeneous and Distributed Data Sources." Asian Journal of Information Technology 9, no. 3 (March 1, 2010): 183–95. http://dx.doi.org/10.3923/ajit.2010.183.195.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Jung, Jason J. "Ontology mapping composition for query transformation on distributed environments." Expert Systems with Applications 37, no. 12 (December 2010): 8401–5. http://dx.doi.org/10.1016/j.eswa.2010.05.041.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Bhatt, Mehul, Andrew Flahive, Carlo Wouters, Wenny Rahayu, and David Taniar. "MOVE: A Distributed Framework for Materialized Ontology View Extraction." Algorithmica 45, no. 3 (May 26, 2006): 457–81. http://dx.doi.org/10.1007/s00453-006-1221-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

El-Diraby, T. E., and K. F. Kashif. "Distributed Ontology Architecture for Knowledge Management in Highway Construction." Journal of Construction Engineering and Management 131, no. 5 (May 2005): 591–603. http://dx.doi.org/10.1061/(asce)0733-9364(2005)131:5(591).

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Casanovas, Pompeu, Núria Casellas, Christoph Tempich, Denny Vrandečić, and Richard Benjamins. "OPJK and DILIGENT: ontology modeling in a distributed environment." Artificial Intelligence and Law 15, no. 2 (February 10, 2007): 171–86. http://dx.doi.org/10.1007/s10506-007-9036-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Wu, Shanming, and Jianjing Shen. "Chaining distributed geographic information Web services based on ontology." Wuhan University Journal of Natural Sciences 13, no. 4 (August 2008): 401–6. http://dx.doi.org/10.1007/s11859-008-0404-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Tao, CHEN, SU Rina, ZHANG Yongjuan, YIN Xin, and ZHU Rui. "Ontology Service Center: A Datahub for Ontology Application." International journal of Web & Semantic Technology 12, no. 03 (July 31, 2021): 01–14. http://dx.doi.org/10.5121/ijwest.2021.12301.

Full text

Abstract:

With the growth of data-oriented research in humanities, a large number of research datasets have been created and published through web services. However, how to discover, integrate and reuse these distributed heterogeneous research datasets is a challenging task. Ontology is the soul between series digital humanities resources, which provides a good way for people to discover and understand these datasets. With the release of more and more linked open data and knowledge bases, a large number of ontologies have been produced at the same time. These ontologies have different publishing formats, consumption patterns, and interactions ways, which are not conductive to the user’s understanding of the datasets and the reuse of the ontologies. The Ontology Service Center platform consists of Ontology Query Center and Ontology Validation Center, mainly using linked data and ontology-based technologies. The Ontology Query Center realizes the functions of ontology publishing, querying, data interaction and online browsing, while the Ontology Validation Center can verify the status of using certain ontologies in the linked datasets. The empirical part of the paper uses the Confucius portrait as an example of how OSC can be used in the semantic annotation of images. In a word, the purpose of this paper is to construct the applied ecology of ontology to promote the development of knowledge graphs and the spread of ontology.

APA, Harvard, Vancouver, ISO, and other styles

21

Huang, Gang, Xiu Ying Wu, Man Yuan, and Rui Fang Li. "Research and Application on Oilfield Product Heterogeneous Data Integration Based on Ontology." Applied Mechanics and Materials 530-531 (February 2014): 809–12. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.809.

Full text

Abstract:

The Oil & Gas industry is moving forward with Integrated Operations (IO). There are different ways to achieve data integration, and ontology-based approaches have drawn much attention. This paper introduces an ontology-based distributed data integration framework (ODDIF). The framework resolves the problem of semantic interoperability between heterogeneous data sources in semantic level. By metadatas specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved. The proposed method reduces developing difficulty, improves developing efficiency, and enhances the maintainability and expandability of the system.

APA, Harvard, Vancouver, ISO, and other styles

22

Huang, Gang, Xiu Ying Wu, and Man Yuan. "Design and Implementation of Oilfield Heterogeneous Data Integration Model Based on Ontology." Advanced Materials Research 912-914 (April 2014): 1201–4. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1201.

Full text

Abstract:

This paper provides an ontology-based distributed heterogeneous data integration framework (ODHDIF). The framework resolves the problem of semantic interoperability between heterogeneous data sources in semantic level. By metadatas specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved. It provides an effective technology measure for the interior information of enterprises to be shared in time accurately.

APA, Harvard, Vancouver, ISO, and other styles

23

Abbes, Hanen, and Faïez Gargouri. "Modular Ontologies Composition." International Journal of Information Technology and Web Engineering 13, no. 4 (October 2018): 35–60. http://dx.doi.org/10.4018/ijitwe.2018100103.

Full text

Abstract:

This article describes how a modular ontology is a set of interconnected ontology modules. Modularity is a key requirement for collaborative ontology engineering and for distributed ontology reuse on the Web. Combining ontology modules in this context to get a global ontology is an important issue since it requires to resolves mismatches between the compared concepts. This article proposes a novel approach to automatically compose ontology modules. The proposed approach is based on concept structure comparison. The algorithm allowing to merge the ontology modules into a global ontology is detailed and similarity measures are explained. Similarity measures are computed against concept names, attributes and relationships. Experiments performed to test this algorithm are described and evaluation results are equally discussed.

APA, Harvard, Vancouver, ISO, and other styles

24

Prieto Santamaría, Lucía, David Fernández Lobón, Antonio Jesús Díaz-Honrubia, Ernestina Menasalvas Ruiz, Sokratis Nifakos, and Alejandro Rodríguez-González. "Towards the Representation of Network Assets in Health Care Environments Using Ontologies." Methods of Information in Medicine 60, S 02 (October 5, 2021): e89-e102. http://dx.doi.org/10.1055/s-0041-1735621.

Full text

Abstract:

Abstract Objectives The aim of the study is to design an ontology model for the representation of assets and its features in distributed health care environments. Allow the interchange of information about these assets through the use of specific vocabularies based on the use of ontologies. Methods Ontologies are a formal way to represent knowledge by means of triples composed of a subject, a predicate, and an object. Given the sensitivity of network assets in health care institutions, this work by using an ontology-based representation of information complies with the FAIR principles. Federated queries to the ontology systems, allow users to obtain data from multiple sources (i.e., several hospitals belonging to the same public body). Therefore, this representation makes it possible for network administrators in health care institutions to have a clear understanding of possible threats that may emerge in the network. Results As a result of this work, the “Software Defined Networking Description Language—CUREX Asset Discovery Tool Ontology” (SDNDL-CAO) has been developed. This ontology uses the main concepts in network assets to represent the knowledge extracted from the distributed health care environments: interface, device, port, service, etc. Conclusion The developed SDNDL-CAO ontology allows to represent the aforementioned knowledge about the distributed health care environments. Network administrators of these institutions will benefit as they will be able to monitor emerging threats in real-time, something critical when managing personal medical information.

APA, Harvard, Vancouver, ISO, and other styles

25

Ruan, Jun, Pan Zhang, and Xing Ping Xiao. "Data Intergration of Power Information System Based on Ontology." Advanced Materials Research 860-863 (December 2013): 2518–21. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2518.

Full text

Abstract:

Power system data distributed in different locations of heterogeneous information systems on the multiple network . These systems are different in the architecture and also in different areas of expertise. In view of the above questions thispaper has proposed a power system integrated research plan baseed on ontology, mainly discussed on local ontology mapping between the data source. Focus on how to convert from the database relational model to OWL ontology and gives the ER model to OWL ontology from the conversion algorithm. Compared with the similar method, this method is automated build ontology, and overcomed the manually created ontology can bring a lot of tedious work.

APA, Harvard, Vancouver, ISO, and other styles

26

Dahmani, Djilali, Ghalem Belalem, and Sidi Ahmed Rahal. "Processing of association rules with ontology in distributed NoSQL systems." Web Intelligence 17, no. 4 (December 2, 2019): 285–96. http://dx.doi.org/10.3233/web-190419.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

R., Megala, and Nirmala K. "SEMANTIC QUERIES IN DISTRIBUTED RELATIONAL DATABASE USING GLOBAL ONTOLOGY CONSTRUCTION." ICTACT Journal on Soft Computing 05, no. 03 (April 1, 2015): 942–45. http://dx.doi.org/10.21917/ijsc.2015.0132.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Mahalingam, Kuhanandha, and Michael N. Huhns. "Ontology Tools For Semantic Reconciliation in Distributed Heterogeneous Information Environments." Intelligent Automation & Soft Computing 6, no. 3 (January 2000): 185–92. http://dx.doi.org/10.1080/10798587.2000.10642787.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Rocha, Rodrigo, Arthur Araújo, Diogo Cordeiro, Assuero Ximenes, Jean Teixeira, Gabriel Silva, Daliton da Silva, et al. "DKDOnto: An Ontology to Support Software Development with Distributed Teams." Procedia Computer Science 126 (2018): 373–82. http://dx.doi.org/10.1016/j.procs.2018.07.271.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Ghamrawy, Sally M. El, and Ali I. El Desouky. "Distributed multi-agent communication system based on dynamic ontology mapping." International Journal of Communication Networks and Distributed Systems 10, no. 1 (2013): 1. http://dx.doi.org/10.1504/ijcnds.2013.050503.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

M, Thangamani, and P. Thangaraj. "Fuzzy Ontology for Distributed Document Clustering based on Genetic Algorithm." Applied Mathematics & Information Sciences 7, no. 4 (July 1, 2013): 1563–74. http://dx.doi.org/10.12785/amis/070442.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Almasoud, Ameera, Hend Al-Khalifa, AbdulMalik Al-salman, and Miltiadis Lytras. "A Framework for Enhancing Big Data Integration in Biological Domain Using Distributed Processing." Applied Sciences 10, no. 20 (October 12, 2020): 7092. http://dx.doi.org/10.3390/app10207092.

Full text

Abstract:

Massive heterogeneous big data residing at different sites with various types and formats need to be integrated into a single unified view before starting data mining processes. Furthermore, in most of applications and research, a single big data source is not enough to complete the analysis and achieve goals. Unfortunately, there is no general or standardized integration process; the nature of an integration process depends on the data type, domain, and integration purpose. Based on these parameters, we proposed, implemented, and tested a big data integration framework that integrates big data in the biology domain, based on the domain ontology and using distributed processing. The integration resulted in the same result as that obtained from the local integration. The results are equivalent in terms of the ontology size before the integration; in the number of added items, skipped items, and overlapped items; in the ontology size after the integration; and in the number of edges, vertices, and roots. The results also do not violate any logical consistency rules, passing all the logical consistency tests, such as Jena Ontology API, HermiT, and Pellet reasoners. The integration result is a new big data source that combines big data from several critical sources in the biology domain and transforms it into one unified format to help researchers and specialists use it for further research and analysis.

APA, Harvard, Vancouver, ISO, and other styles

33

Kosolapova, Olga Aleksandrovna. "Psychological readiness and ontologies in security of digital multilevel distributed systems." Personality & Society 2, no. 3 (July 12, 2021): 11–17. http://dx.doi.org/10.46502/issn.2712-8024/2021.3.2.

Full text

Abstract:

Information, computer environments and systems require not only technological, but also psychological, neuro-linguistic support. The evolution of a digital, competency-based society requires the active introduction of information and communication technologies in all key areas (e-government, e-learning, e-business, etc.). There is also a negative impact of such an evolutionary process, for example, the emergence of IT risks and threats to the individual, society and society. It is also possible to strengthen the information confrontation, hybrid war, "Trojan training", etc. It is very important to ensure the security of multilevel distributed information structures of the digital economy. The article discusses the systemic analysis of this problem, explores some specific aspects and tasks, in particular the use of ontologies and formalization. System-synergistic analysis of psychological readiness and its support by ontological approach was carried out. System objectives of network attacks and psychological influences in conditions of evolution of distributed infological system are revealed. A general model of system security ontology in a formal-semantic and infological form is proposed. Everything is implemented based on the semantics of controlled process metadata (Resource Description Framework), metadata prediction languages (Ontology Language), ontology standards, analytics, "parallelization" of knowledge and updating of knowledge bases, Big Data, Data Mining, Social Mining, Data Centers, multi-agent and other systems.

APA, Harvard, Vancouver, ISO, and other styles

34

Li, Wen Jie, and Sha Sha Shi. "Research on Semantic Web-Based Teaching Resources Management System." Advanced Materials Research 204-210 (February 2011): 1366–69. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1366.

Full text

Abstract:

Because the traditional teaching resources management systems are limitations on the description and acquisition of distributed heterogeneous knowledge, domain ontology knowledge base of teaching resources management has been built with the help of experts in the field. A new algorithm of concept similarity has been proposed for calculating the distance between the words, and the ontology has been searched by using Jena API. Finally, the model of system has been implemented. Although the ontology storage method and execution efficiency should be improved, the system has got the initial achievement for the research of ontology in teaching resources management domain.

APA, Harvard, Vancouver, ISO, and other styles

35

Khemakhem, Sofien, Khalil Drira, and Mohamed Jmaiel. "An Integration Ontology for Components Composition." International Journal of Web Portals 2, no. 3 (July 2010): 35–42. http://dx.doi.org/10.4018/jwp.2010070103.

Full text

Abstract:

Software components composition can improve the efficiency of knowledge management by composing individual components together for complex distributed application. There are two main areas of research in knowledge representation for component composition: the syntactic based approach and the semantic-based approach. In this paper, the authors propose an integrated ontology-supported software component composition. The authors’ approach provides dual modes to perform component composition. Ontologies are employed to enrich semantics at both components description and composition. The authors demonstrate that their search engine SEC++ fulfills automated component composition, in particular, and knowledge management in general.

APA, Harvard, Vancouver, ISO, and other styles

36

Das, Moumita, Jack C. P. Cheng, and Kincho H. Law. "An ontology-based web service framework for construction supply chain collaboration and management." Engineering, Construction and Architectural Management 22, no. 5 (September 21, 2015): 551–72. http://dx.doi.org/10.1108/ecam-07-2014-0089.

Full text

Abstract:

Purpose – The purpose of this paper is to present a framework for integrating construction supply chain in order to resolve the data heterogeneity and data sharing problems in the construction industry. Design/methodology/approach – Standardized web service technology is used in the proposed framework for data specification, transfer, and integration. Open standard SAWSDL is used to annotate web service descriptions with pointers to concepts defined in ontologies. NoSQL database Cassandra is used for distributed data storage among construction supply chain stakeholders. Findings – Ontology can be used to support heterogeneous data transfer and integration through web services. Distributed data storage facilitates data sharing and enhances data control. Practical implications – This paper presents examples of two ontologies for expressing construction supply chain information – ontology for material and ontology for purchase order. An example scenario is presented to demonstrate the proposed web service framework for material procurement process involving three parties, namely, project manager, contractor, and material supplier. Originality/value – The use of web services is not new to construction supply chains (CSCs). However, it still faces problems in channelizing information along CSCs due to data heterogeneity. Trust issue is also a barrier to information sharing for integrating supply chains in a centralized collaboration system. In this paper, the authors present a web service framework, which facilitates storage and sharing of information on a distributed manner mediated through ontology-based web services. Security is enhanced with access control. A data model for the distributed databases is also presented for data storage and retrieval.

APA, Harvard, Vancouver, ISO, and other styles

37

LV, Zhaoming, and Rong PENG. "Improving the Efficiency of Multi-Objective Grasshopper Optimization Algorithm to Enhance Ontology Alignment." Wuhan University Journal of Natural Sciences 27, no. 3 (June 2022): 240–54. http://dx.doi.org/10.1051/wujns/2022273240.

Full text

Abstract:

Ontology alignment is an essential and complex task to integrate heterogeneous ontology. The meta-heuristic algorithm has proven to be an effective method for ontology alignment. However, it only applies the inherent advantages of meta-heuristics algorithm and rarely considers the execution efficiency, especially the multi-objective ontology alignment model. The performance of such multi-objective optimization models mostly depends on the well-distributed and the fast-converged set of solutions in real-world applications. In this paper, two multi-objective grasshopper optimization algorithms (MOGOA) are proposed to enhance ontology alignment. One is ε-dominance concept based GOA (EMO-GOA) and the other is fast Non-dominated Sorting based GOA (NS-MOGOA). The performance of the two methods to align the ontology is evaluated by using the benchmark dataset. The results demonstrate that the proposed EMO-GOA and NS-MOGOA improve the quality of ontology alignment and reduce the running time compared with other well-known metaheuristic and the state-of-the-art ontology alignment methods.

APA, Harvard, Vancouver, ISO, and other styles

38

Garanina, Natalia O., Igor S. Anureev, Olesya I. Borovikova, and Vladimir E. Zyubin. "Methods for Domain Specification of Verification-Oriented Process Ontology." Modeling and Analysis of Information Systems 26, no. 4 (December 27, 2019): 534–49. http://dx.doi.org/10.18255/1818-1015-2019-4-534-549.

Full text

Abstract:

User-friendly formal specifications and verification of parallel and distributed systems from various subject fields, such as automatic control, telecommunications, business processes, are active research topics due to its practical significance. In this paper, we present methods for the development of verification-oriented domain-specific process ontologies which are used to describe parallel and distributed systems of subject fields. One of the advantages of such ontologies is their formal semantics which make possible formal verification of the described systems. Our method is based on the abstract verification-oriented process ontology. We use two methods of specialization of the abstract process ontology. The declarative method uses the specialization of the classes of the original ontology, introduction of new declarative classes, as well as use of new axioms system, which restrict the classes and relations of the abstract ontology. The constructive method uses semantic markup and pattern matching techniques to link sublect fields with classes of the abstract process ontology. We provide detailed ontological specifications for these techniques. Our methods preserve the formal semantics of the original process ontology and, therefore, the possibility of applying formal verification methods to the specialized process ontologies. We show that the constructive method is a refinement of the declarative method. The construction of ontology of the typical elements of automatic control systems illustrates our methods: we develop a declarative description of the classes and restrictions for the specialized ontology in the Prot´eg´e system in the OWL language using the deriving rules written in the SWRL language and we construct the system of semantic markup templates which implements typical elements of automatic control systems.

APA, Harvard, Vancouver, ISO, and other styles

39

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

Full text

Abstract:

Ontologies are increasingly being developed on web-based repository hosting platforms such as GitHub. Accordingly, there is a demand for ontology editors which can be easily connected to the hosted repositories. TurtleEditor is a web-based RDF editor that provides this capability and supports the distributed development of ontologies on repository hosting platforms. It offers features such as syntax checking, syntax highlighting, and auto completion, along with a SPARQL endpoint to query the ontology. Furthermore, TurtleEditor integrates a visual editing view that allows for the graphical manipulation of the RDF graph and includes some basic clustering functionality. The text and graph views are constantly synchronized so that all changes to the ontology are immediately propagated and the views are updated accordingly. The results of a user study and performance tests show that TurtleEditor can indeed be effectively used to support the distributed development of ontologies on repository hosting platforms.

APA, Harvard, Vancouver, ISO, and other styles

40

An, JungHyen, and Young B. Park. "Methodology for Automatic Ontology Generation Using Database Schema Information." Mobile Information Systems 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/1359174.

Full text

Abstract:

An ontology is a model language that supports the functions to integrate conceptually distributed domain knowledge and infer relationships among the concepts. Ontologies are developed based on the target domain knowledge. As a result, methodologies to automatically generate an ontology from metadata that characterize the domain knowledge are becoming important. However, existing methodologies to automatically generate an ontology using metadata are required to generate the domain metadata in a predetermined template, and it is difficult to manage data that are increased on the ontology itself when the domain OWL (Ontology Web Language) individuals are continuously increased. The database schema has a feature of domain knowledge and provides structural functions to efficiently process the knowledge-based data. In this paper, we propose a methodology to automatically generate ontologies and manage the OWL individual through an interaction of the database and the ontology. We describe the automatic ontology generation process with example schema and demonstrate the effectiveness of the automatically generated ontology by comparing it with existing ontologies using the ontology quality score.

APA, Harvard, Vancouver, ISO, and other styles

41

Tzitzikas, Yannis, Carlo Allocca, Chryssoula Bekiari, Yannis Marketakis, Pavlos Fafalios, Martin Doerr, Nikos Minadakis, Theodore Patkos, and Leonardo Candela. "Unifying heterogeneous and distributed information about marine species through the top level ontology MarineTLO." Program 50, no. 1 (February 1, 2016): 16–40. http://dx.doi.org/10.1108/prog-10-2014-0072.

Full text

Abstract:

Purpose – Marine species data are scattered across a series of heterogeneous repositories and information systems. There is no repository that can claim to have all marine species data. Moreover, information on marine species are made available through different formats and protocols. The purpose of this paper is to provide models and methods that allow integrating such information either for publishing it, browsing it or querying it. Aiming at providing a valid and reliable knowledge ground for enabling semantic interoperability of marine species data, in this paper the authors motivate a top level ontology, called MarineTLO and discuss its use for creating MarineTLO-based warehouses. Design/methodology/approach – In this paper the authors introduce a set of motivating scenarios that highlight the need of having a top level ontology. Afterwards the authors describe the main data sources (Fisheries Linked Open Data, ECOSCOPE, WoRMS, FishBase and DBpedia) that will be used as a basis for constructing the MarineTLO. Findings – The paper discusses about the exploitation of MarineTLO for the construction of a warehouse. Furthermore a series of uses of the MarineTLO-based warehouse is being reported. Originality/value – In this paper the authors described the design of a top level ontology for the marine domain able to satisfy the need for maintaining integrated sets of facts about marine species and thus assisting ongoing research on biodiversity. Apart from the ontology the authors also elaborated with the mappings that are required for building integrated warehouses.

APA, Harvard, Vancouver, ISO, and other styles

42

Chioreanu, Adrian, Stelian Brad, Cosmin Porumb, and Sanda Porumb. "E-maintenance ontology-based approach for heterogeneous distributed robotic production capabilities." International Journal of Computer Integrated Manufacturing 28, no. 2 (February 5, 2014): 200–212. http://dx.doi.org/10.1080/0951192x.2014.880802.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Natarajan, Sathish, Kaushik Ghosh, and Rajagopalan Srinivasan. "An ontology for distributed process supervision of large-scale chemical plants." Computers & Chemical Engineering 46 (November 2012): 124–40. http://dx.doi.org/10.1016/j.compchemeng.2012.06.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Hasan, Samer, and V. Valli Kumari. "Generic-distributed framework for cloud services marketplace based on unified ontology." Journal of Advanced Research 8, no. 6 (November 2017): 569–76. http://dx.doi.org/10.1016/j.jare.2017.07.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Santipantakis, Georgios, and George A. Vouros. "Decomposing Ontologies for the Construction of Distributed Knowledge Bases: The mONTul Method." International Journal on Artificial Intelligence Tools 24, no. 05 (October 2015): 1540022. http://dx.doi.org/10.1142/s0218213015400229.

Full text

Abstract:

Ontology modularization methods aim either to extract modules for a given sets of terms, or partition ontologies into sets of modules. Each module should cover a specific subject matter of the theory, while the modularization task must preserve additional properties depending on its objectives: It may aim at reusability of knowledge, reduction of complexity, efficient reasoning, and tooling support, e.g. for efficient ontology maintenance and evolution. This article proposes the mONTul method for the modularization of SHIQ ontologies, towards the construction of distributed E–SHIQ knowledge bases. The aim is to compute decompositions for efficient distributed reasoning. The proposed framework combines locality-based rules with graph-based modularization techniques using a generic constraint problem solving framework. The article presents experimental results concerning the modularization task.

APA, Harvard, Vancouver, ISO, and other styles

46

KALFOGLOU, YANNIS, and MARCO SCHORLEMMER. "Ontology mapping: the state of the art." Knowledge Engineering Review 18, no. 1 (January 2003): 1–31. http://dx.doi.org/10.1017/s0269888903000651.

Full text

Abstract:

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mappings has been the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping.

APA, Harvard, Vancouver, ISO, and other styles

47

UNDERCOFFER, JEFFREY, ANUPAM JOSHI, TIM FININ, and JOHN PINKSTON. "Using DAML+OIL to classify intrusive behaviours." Knowledge Engineering Review 18, no. 3 (September 2003): 221–41. http://dx.doi.org/10.1017/s0269888904000049.

Full text

Abstract:

We have produced an ontology specifying a model of computer attack. Our ontology is based upon an analysis of over 4000 classes of computer intrusions and their corresponding attack strategies and is categorised according to system component targeted, means of attack, consequence of attack and location of attacker. We argue that any taxonomic characteristics used to define a computer attack be limited in scope to those features that are observable and measurable at the target of the attack. We present our model as a target-centric ontology that is to be refined and expanded over time. We state the benefits of forgoing dependence upon taxonomies in favour of ontologies for the classification of computer attacks and intrusions. We have specified our ontology using the DARPA Agent Markup Language+Ontology Inference Layer and have prototyped it using DAMLJessKB. We present our model as a target-centric ontology and illustrate the benefits of utilising an ontology in lieu of a taxonomy, by presenting a use-case scenario of a distributed intrusion detection system.

APA, Harvard, Vancouver, ISO, and other styles

48

Luo, Yong Hong, and Wei Ming Liu. "Detection Algorithm of Semantic Inconsistency for Fuzzy Ontology Merging." Applied Mechanics and Materials 530-531 (February 2014): 407–12. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.407.

Full text

Abstract:

Fuzzy ontology can be built to effectively deal with uncertainty and ambiguity for domain knowledge modeling. Merging multiple fuzzy local ontologies may implement semantic integration of multiple data sources and semantic interoperability between heterogeneous systems in distributed environment. In order to solve the problem of semantic inconsistency mappings for fuzzy ontology merging system, we proposed a detection algorithm of semantic inconsistency mapping which includes sub detection methods of circular semantic inconsistency, subclass-of axiom redundancy semantic inconsistency, attribute membership semantic inconsistency and disjoint axioms redundancy semantic inconsistency. With the detection algorithm of semantic inconsistency, we establish fuzzy ontology merging system in experiment.

APA, Harvard, Vancouver, ISO, and other styles

49

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.

Full text

Abstract:

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 example, the fuzzy rule management system is built by using the tool protégé and SWRLTab, which shows that this research enables distributed fuzzy applications on the Semantic Web.

APA, Harvard, Vancouver, ISO, and other styles

50

Sedbrook, Tod, and Richard I. Newmark. "Automating REA Policy Level Specifications with Semantic Web Technologies." Journal of Information Systems 22, no. 2 (September 1, 2008): 249–77. http://dx.doi.org/10.2308/jis.2008.22.2.249.

Full text

Abstract:

ABSTRACT: Enterprise modelers require tools and techniques that consistently represent and logically apply domain knowledge. Current modeling approaches rely on entity relationship or unified modeling diagrams to represent semantic descriptions of business exchanges. However, it remains difficult to transform the implicit metadata, ontologies, and logic embedded in diagrams into a coherent form that can be interpreted by machines and delivered across the web. This study explores the uniting of machine processing capabilities of semantic web technologies with resource event agent (REA) enterprise ontologies to model complex multienterprise partnerships. Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) were used to model REA policies for a distributed e-commerce partnership selling nearly new vehicles. We combine a specialized REA application ontology with semantic technologies to direct multienterprise collaborations. We present a prototype that encodes the ontology's concepts within OWL and SWRL and explore these machine-readable representations within the context of a case study.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Distributed ontology'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles