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Metadata requirements analysis for the emerging Sensor web

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International Journal of Digital Earth 2009年第S01期2卷 3-17页

作者： Liping Di Karen L.Moe Genong(Eugene)Yu Center for Spatial Information Science and Systems(CSISS) George Mason University6301 Ivy LnSuite 620GreenbeltMD 20770USA Earth System Technology Office NASA/GSFC MS Code 407GreenbeltMD 20771USA

The Sensor web has emerged from Earth Science research with the development of web technology,to achieve process automation,sensor interoperation,and service *** promises require the discovery of the right sensor at the right time and the right location with the right ***,for sensor,platform,and data,are crucial for achieving such ***,analysis and practical use of these metadata reveals that the metadata and their associations are not applicable or suitable for the Sensor *** shortfalls are(1)the nonstandard metadata expression language;(2)the missing link between sensor and domain knowledge;(3)the insufficiency in the information for geographic locating and sensor tasking;and(4)the enhanced requirements on the quality,security,and ownership of both sensors and their sensed *** paper reviews the current standards that have metadata components for the sensor and its platform,especially those from ISO TC211,Open Geospatial Consortium Inc.,and The National Aeronautics and Space Administration Global Change Master Directory.A recommendation on metadata that meets the requirement of crossmission sensor discovery in a pervasive web environment is derived from *** recommendation addresses issues on language formalization,sensor geolocation,semantics,quality,and *** of the emerging semantic web technology for enabling robust discovery of sensor are discussed.

关键词： Sensor web geospatial standards metadata interoperation semantic web

A description logic based approach to formalizing the information bearing capability of paths in ER schemata

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International Journal of Intelligent Computing and Cybernetics 2015年第3期8卷 279-291页

作者： Kaibo Xu Junkang Feng Malcolm Crowe Lin Liu Business College Beijing Union UniversityBeijingChina School of Computing University of the West of ScotlandPaisleyUK

Purpose–The purpose of this paper is to show how description logics(DLs)can be applied to formalizing the information bearing capability(IBC)of paths in entity-relationship(ER)***/methodology/approach–The approach follows and extends the idea presented in Xu and Feng(2004),which applies DLs to classifying paths in an ER *** verify whether the information content of a data construct(e.g.a path)covers a semantic relation(which formulates a piece of information requirement),the principle of IBC under the source-bearer-receiver framework is *** is observed that the IBC principle can be formalized by constructing DL expressions and examining constructors(***).Findings–Description logic can be used as a tool to describe the meanings represented by paths in an ER schema and formalize their *** criteria for identifying data construct distinguishability are also discovered by examining quantifiers in DL expressions of paths of an ER ***/value–This paper focuses on classifying paths in data schemas and verifying their formalized IBC by using DLs and the IBC *** is a new point of view for evaluation of data representation,which looks at the information borne by data but not data dependencies.

关键词： Information retrieval semantic web Classification of paths Information-bearing capability Description logics ER schema

semantic-Discovery of Construction Project Files

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Tsinghua Science and Technology 2008年第S1期13卷 305-310页

作者：潘佳怡 Chimay J. Anumba Department of Construction Management Tsinghua University Department of Architectural Engineering The Pennsylvania State University

The dynamics of a construction project generates a huge amount of information for processing. Most project information is recorded in digital files and managed in a decentralized way. Current document management tools do not consider the semantic relationships between files and then cannot discover files based on their content or ensure information consistency across various information repositories. This paper presents a semantic-discovery method for accessing project information across repositories. By adopting semantic web technologies, including extensible markup language (XML), ontology, and logic rules, the semantic-discovery tool can access project files by their properties and relations. The method has been applied to searching for files using documents from a real project. The results show that the semantic content of a file can be used to ensure that only related files are retrieved.

关键词： construction projects management information system semantic web content-based informa-tion management ontology extensible markup language (XML) resource definition framework (RDF)

Automatic composition of information-providing web services based on query rewriting

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Science China(Information Sciences) 2012年第11期55卷 2428-2444页

作者： ZHAO WenFeng,LIU ChuanChang & CHEN JunLiang State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China 1. State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China

Compared with normal web services,information-providing services have unique features that have seldom been considered in existing research on the automatic composition of web *** this paper,we present a simple,yet well-formed,semantic-based capability model for information-providing web services,which can express such features as not modifying the world state and not requiring all input/output parameters to be supplemented with class information as *** then present a corresponding automatic composition method derived from a query rewriting algorithm,MiniCon,used in the data integration *** method adequately utilizes previous features,enables primitive semantic reasoning,and can generate executable BPEL scripts *** of the method is complementary to traditional search-based *** on a typical type of problem show that the method is usable in practice.

关键词： web services automatic composition query rewriting data integration ontology semantic web

A Q-based integrating interaction framework system for multi-agent coordination

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Journal of Harbin Institute of Technology(New Series) 2005年第4期12卷 424-433页

作者：王振杰盛焕烨肖正光 Dept. of Computer Science & Engineering Shanghai Jiaotong UniversityShanghai 200030 China

Interaction is one of the crucial features of multl-agent systems, in which there are two kinds of interaction： agent-to-agent and human-to-agent. In order to unify the two kinds of interaction while designing multi-agent systems, this paper introduces Q language-a scenario description language for designing interaction among agents and humans. Based on Q, we propose an integrating interaction framework system for multi-agent coordination, in which Q scenarios are used to uniformly describe both kinds of interactions. Being in accordance to the characteristics of Q language, the Q-based framework makes the interaction process open and easily understood by the users. Additionally, it makes specific applications of multi-agent systems easy to be established by application designers. By applying agent negotiation in agent-mediated e-commerce and agent cooperation in interoperable information query on the semantic web, we illustrate how the presented framework for multi-agent coordination is implemented in concrete applications. At the same time, these two different applications also demonstrate usability of the presented framework and verify validity of Q language.

关键词： interaction description language multi-agent coordination e-commence semantic web

Curriculum Development for FAIR Data Stewardship

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Data Intelligence 2022年第4期4卷 991-1012,1033页

作者： Francisca Oladipo Sakinat Folorunso Ezekiel Ogundepo Obinna Osigwe Akinyinka Tosin Akindele Directorate of Research InnovationsConsultancy and ExtensionKampala International University10102Uganda Virus Over Data Network(VODAN)-Africa and Asia Federal University Lokoja 260101Nigeria Department of Mathematical Sciences Olabisi Onabanjo UniversityP.M.B 2002Ago-IwoyeOgun State120005Nigeria Data Science Nigeria Lagos 105102Nigeria School of eLearning Projects Kampala International UniversityP.M.B 4000OgbomosoOyo stateNigeriaUganda

The FAIR Guidelines attempts to make digital data Findable, Accessible, Interoperable, and Reusable(FAIR). To prepare FAIR data, a new data science discipline known as data stewardship is emerging and, as the FAIR Guidelines gain more acceptance, an increase in the demand for data stewards is expected. Consequently, there is a need to develop curricula to foster professional skills in data stewardship through effective knowledge communication. There have been a number of initiatives aimed at bridging the gap in FAIR data management training through both formal and informal programmes. This article describes the experience of developing a digital initiative for FAIR data management training under the Digital Innovations and Skills Hub(DISH) project. The FAIR Data Management course offers 6 short on-demand certificate modules over 12 weeks. The modules are divided into two sets: FAIR data and data science. The core subjects cover elementary topics in data science, regulatory frameworks, FAIR data management, intermediate to advanced topics in FAIR Data Point installation, and FAIR data in the management of healthcare and semantic data. Each week, participants are required to devote 7–8 hours of self-study to the modules, based on the resources provided. Once they have satisfied all requirements, students are certified as FAIR data scientists and qualified to serve as both FAIR data stewards and analysts. It is expected that in-depth and focused curricula development with diverse participants will build a core of FAIR data scientists for Data Competence Centres and encourage the rapid adoption of the FAIR Guidelines for research and development.

关键词： Data steward Data science FAIR Guidelines FAIR Digital technology FDP installation FAIR Data Trains semantic web Personal Health Train

The FAIR Data Point:Interfaces and Tooling

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Data Intelligence 2023年第1期5卷 184-201页

作者： Oussama Mohammed Benhamed Kees Burger Rajaram Kaliyaperumal Luiz Olavo Bonino da Silva Santos Marek Suchánek Jan Slifka Mark D.Wilkinsoni Departamento de Biotecnologia-Biologia Vegetal Escuela Tecnica Superior de Ingenieria AgronomicaAlimentaria y de BiosistemasCentro de Biotecnologia y Genomica de Plantas UPM-INIAUniversidad Politecnica de Madrid(UPM)-Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria(INIA)MadridES 28223Spain Leiden University Medical Center Leiden2333 ZCthe Netherlands University of Twente Enschede7513 GBthe Netherlands Czech Technical University in Prague PragueCZ 15000Czech Republic

While the FAIR Principles do not specify a technical solution for'FAIRness',it was clear from the outset of the FAIR initiative that it would be useful to have commodity software and tooling that would simplify the creation of FAIR-compliant *** FAIR Data Point is a metadata repository that follows the DCAT(2)schema,and utilizes the Linked Data Platform to manage the hierarchical metadata layers as LDP *** has been a recent flurry of development activity around the FAIR Data Point that has significantly improved its power and *** we describe five specific tools—an installer,a loader,two webbased interfaces,and an indexer-aimed at maximizing the uptake and utility of the FAIR Data Point.

关键词： FAIR Data Linked data semantic web Metadata User interfaces Tooling semantic query

The Computer Science Ontology:A Comprehensive Automatically-Generated Taxonomy of Research Areas

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Data Intelligence 2020年第3期2卷 379-416页

作者： Angelo A.Salatino Thiviyan Thanapalasingam Andrea Mannocci Aliaksandr Birukou Francesco Osborne Enrico Motta Knowledge Media Institute The Open UniversityMK76AAMilton KeynesUK Springer-Verlag GmbH Tiergartenstrasse 1769121 HeidelbergGermany

Ontologies of research areas are important tools for characterizing,exploring,and analyzing the research *** fields of research are comprehensively described by large-scale taxonomies,e.g.,MeSH in Biology and PhySH in ***,current Computer Science taxonomies are coarse-grained and tend to evolve *** instance,the ACM classification scheme contains only about 2K research topics and the last version dates back to *** this paper,we introduce the Computer Science Ontology(CSO),a large-scale,automatically generated ontology of research areas,which includes about 14K topics and 162K semantic *** was created by applying the Klink-2 algorithm on a very large data set of 16M scientific *** presents two main advantages over the alternatives:i)it includes a very large number of topics that do not appear in other classifications,and ii)it can be updated automatically by running Klink-2 on recent corpora of *** powers several tools adopted by the editorial team at Springer Nature and has been used to enable a variety of solutions,such as classifying research publications,detecting research communities,and predicting research *** facilitate the uptake of CSO,we have also released the CSO Classifier,a tool for automatically classifying research papers,and the CSO Portal,a web application that enables users to download,explore,and provide granular feedback on *** can use the portal to navigate and visualize sections of the ontology,rate topics and relationships,and suggest missing *** portal will support the publication of and access to regular new releases of CSO,with the aim of providing a comprehensive resource to the various research communities engaged with scholarly data.

关键词： Scholarly data Ontology learning Bibliographic data Scholarly ontologies semantic web

Bridge Ontology: A Multi-Ontologies-Based Approach for semantic Annotation

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Wuhan University Journal of Natural Sciences 2004年第5期9卷 617-622页

作者： WANGPeng XUBao-wen LUjian-jiang LiYan-hui JIANGJian-hua DepartmentofComputerSeienceandEngineering SoutheastUniversity.Nanjing210096JiangsuChina JiangsuInstituteofSoftwareQuality.Nanjing210096.Jiangsu China SchoolofCommunicationsEngineering People＇sI.iherationArmyUniversityofScienceandTechnology.Nanjing210007.Jiangsu.China

Representing the relationships between ontologies is the key problem of semantic annotations based on multi-ontologies. Traditional approaches only had the ability of denoting the simple concept subsumption relations between ontologies. Through analyzing and classifying the relationships between ontologies, the idea of bridge ontology was proposed, which had the powerful capability of expressing the complex relationships between concepts and relationships between relations in multi-ontologies. Meanwhile, a new approach employing bridge ontology was proposed to deal with the multi-ontologies-based semantic annotation problem. The bridge ontology is a peculiar ontology, which can be created and maintained conveniently, and is effective in the multi-ontologies-based semantic annotation. The approach using bridge ontology has the advantages of low-cost, scalable, robust in the web circumstance, and avoiding the unnecessary ontology extending and integration. Key words semantic web - bridge ontology - multi-ontologies - semantic annotation CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (60373066, 60303024). National Grand Fundamental Research 973 Program of China (2002CB312000), National Re-search Foundation for the Doctoral Program of Higher Education of China (20020286004)Biography: WANG Peng (1977-), male, Ph.D candidate, research direction: semantic web, ontology, and knowledge representation on the web.

关键词： semantic web bridge ontology multi-ontologies semantic annotation