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FI-WARE User and Programmers Guide WP6 Front Page 1 FI-WARE User and Programmers Guide WP6 Front Page
FI-WARE User and Programmers Guide WP6 front page 1 FI-WARE User and Programmers Guide WP6 front page Large-scale Integrated Project (IP) D.6.4.a: User and Programmers Guide Project acronym: FI-WARE Project full title: Future Internet Core Platform Contract No.: 285248 Strategic Objective: FI.ICT-2011.1.7 Technology foundation: Future Internet Core Platform Project Document Number: ICT-2011-FI-285248-WP6-D6.4a Project Document Date: 30 June 2012 Deliverable Type and Security: Public Author: FI-WARE Consortium Contributors: FI-WARE Consortium Abstract: This deliverable contains the User and Programmers Guide for the Generic Enablers of Data/Context Management chapter, being included in the First FI-WARE release. Keyword list: FI-WARE, Generic Enabler, Bigdata, Context, Events, Semantic Web, Multimedia. Contents BigData Analysis - User and Programmer Guide 2 CEP - User and Programmer Guide 89 Location Platform - User and Programmer Guide 90 Multimedia Analysis - User and Programmer Guide 95 Query Broker - User and Programmer Guide 105 Semantic Annotation - Users and Programmers Guide 110 Semantic Application Support - Users and Programmers Guide 113 BigData Analysis - User and Programmer Guide 2 BigData Analysis - User and Programmer Guide Introduction This guide covers the user and development aspects of the SAMSON platform, version 0.6.1. The SAMSON platform has been designed for the processing of large amounts of data, in continuous mode (streaming), distributing tasks in a medium-size cluster of computers, following the MapReduce paradigm Jeffrey Dean and Sanjay Ghemawat. “MapReduce: Simplified data processing on large clusters” [1]. The platform provides the necessary framework to allow a developer to focus on solving analytical problems without needing to know how distribute jobs and data, and their synchronization. -
Towards Ontology Based BPMN Implementation. Sophea Chhun, Néjib Moalla, Yacine Ouzrout
Towards ontology based BPMN Implementation. Sophea Chhun, Néjib Moalla, Yacine Ouzrout To cite this version: Sophea Chhun, Néjib Moalla, Yacine Ouzrout. Towards ontology based BPMN Implementation.. SKIMA, 6th Conference on Software Knowledge Information Management and Applications., Jan 2012, Chengdu, China. 8 p. hal-01551452 HAL Id: hal-01551452 https://hal.archives-ouvertes.fr/hal-01551452 Submitted on 6 Nov 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 Towards ontology based BPMN implementation CHHUN Sophea, MOALLA Néjib and OUZROUT Yacine University of Lumiere Lyon2, laboratory DISP, France Natural language is understandable by human and not machine. None technical persons can only use natural language to specify their business requirements. However, the current version of Business process management and notation (BPMN) tools do not allow business analysts to implement their business processes without having technical skills. BPMN tool is a tool that allows users to design and implement the business processes by connecting different business tasks and rules together. The tools do not provide automatic implementation of business tasks from users’ specifications in natural language (NL). Therefore, this research aims to propose a framework to automatically implement the business processes that are expressed in NL requirements. -
INFOCOMP / Datasys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing
INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing June 28, 2017, Venice, Italy The Seventh International Conference on Advanced Communications and Computation (INFOCOMP 2017) The Seventh International Conference on Advances in Information Mining and Management (IMMM 2017) The Twelfth International Conference on Internet and Web Applications and Services (ICIW 2017) INFOCOMP/IMMM/ICIW (DataSys) June 25{29, 2017 - Venice, Italy INFOCOMP, June 25 { 29, 2017 - Venice, Italy INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing INFOCOMP Expert Panel: Web Semantic Mapping & Information Proc. INFOCOMP Expert Panel: Web Semantic Mapping & Information Proc. Panelists Claus-Peter R¨uckemann (Moderator), Westf¨alischeWilhelms-Universit¨atM¨unster(WWU) / Leibniz Universit¨atHannover / North-German Supercomputing Alliance (HLRN), Germany Marc Jansen, University of Applied Sciences Ruhr West, Deutschland Fahad Muhammad, CSTB, Sophia Antipolis, France Kiyoshi Nagata, Daito Bunka University, Japan Claus-Peter R¨uckemann, WWU M¨unster/ Leibniz Universit¨atHannover / HLRN, Germany INFOCOMP 2017: http://www.iaria.org/conferences2017/INFOCOMP17.html Program: http://www.iaria.org/conferences2017/ProgramINFOCOMP17.html -
Semantic Description of Web Services
Semantic Description of Web Services Thabet Slimani CS Department, Taif University, P.O.Box 888, 21974, KSA Abstract syntaxes) and in terms of the paradigms proposed for The tasks of semantic web service (discovery, selection, employing these in practice. composition, and execution) are supposed to enable seamless interoperation between systems, whereby human intervention is This paper is dedicated to provide an overview of these kept at a minimum. In the field of Web service description approaches, expressing their classification in terms of research, the exploitation of descriptions of services through commonalities and differences. It provides an semantics is a better support for the life-cycle of Web services. understanding of the technical foundation on which they The large number of developed ontologies, languages of are built. These techniques are classified from a range of representations, and integrated frameworks supporting the research areas including Top-down, Bottom-up and Restful discovery, composition and invocation of services is a good Approaches. indicator that research in the field of Semantic Web Services (SWS) has been considerably active. We provide in this paper a This paper does also provide some grounding that could detailed classification of the approaches and solutions, indicating help the reader perform a more detailed analysis of the their core characteristics and objectives required and provide different approaches which relies on the required indicators for the interested reader to follow up further insights objectives. We provide a little detailed comparison and details about these solutions and related software. between some approaches because this would require Keywords: SWS, SWS description, top-down approaches, addressing them from the perspective of some tasks bottom-up approaches, RESTful services. -
Semantic Web Services
The Semantic Web Semantic Web Services Sheila A. McIlraith, Tran Cao Son, and Honglei Zeng, Stanford University he Web, once solely a repository for text and images, is evolving into a provider Tof services—information-providing services, such as flight information providers, temperature sensors, and cameras, and world-altering services, such as flight-booking programs, sensor controllers, and a variety of e-commerce and business-to-business applications. Web-accessible programs, databases, damental component of the Semantic Web will be the sensors, and a variety of other physical devices real- markup of Web services to make them computer-inter- The authors propose the ize these services. In the next decade, computers will pretable, use-apparent, and agent-ready. This article most likely be ubiquitous, and most devices will have addresses precisely this component. markup of Web services some sort of computer inside them. Vint Cerf, one We present an approach to Web service markup that of the fathers of the Internet, views the population provides an agent-independent declarative API cap- in the DAML family of of the Internet by smart devices as the harbinger of turing the data and metadata associated with a service a new revolution in Internet technology. together with specifications of its properties and capa- Semantic Web markup Today’s Web was designed primarily for human bilities, the interface for its execution, and the prereq- interpretation and use. Nevertheless, we are seeing uisites and consequences of its use. Markup exploits languages. This markup increased automation of Web service interoperation, ontologies to facilitate sharing, reuse, composition, primarily in B2B and e-commerce applications. -
Semantic Web Services-A Survey
International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June-2013 76 ISSN 2229-5518 Semantic Web Services-A Survey Gayathridevi.M and Manikandan.R Abstract-- The technology where the meaning of the information and the service of the web is defined by making the web to understand and satisfies the request of the people is called Semantic Web Services. That is the idea of having data on the web defined and linked in a way that it can be used by machines not just for display purpose, but for automation, integration and reuse of data across various application .The idea of the semantic is raised to overcome the limitation of the Web services such as Average WWW searches examines only about 25% of potentially relevant sites and return a lot of unwanted information, Information on web is not suitable for software agent and Doubling of size. It is built on top of the Web Services extended with rich semantic representations along with capabilities for automatic reasoning developed in the field of artificial intelligence. This survey attempts to give an overview of the underlying concepts and technologies along with the categorization, selection and discovery of services based on semantic. 1 INTRODUCTION Web Services are self-contained application that is used for the communication between electronic devices over internet. It uses XML- based interfaces for communication Service Publish which includes the operation like publish, bind, find of the Provider services by the service role. Bind The Semantic web used to categories the services and WSDL WSDL retrieves those services from UDDI based on meaning that enable dynamic, execution-time discovery, composition, and invocation of Services[1] and machine to use the web Service Service content. -
FI-WARE Product Vision Front Page Ref
FI-WARE Product Vision front page Ref. Ares(2011)1227415 - 17/11/20111 FI-WARE Product Vision front page Large-scale Integrated Project (IP) D2.2: FI-WARE High-level Description. Project acronym: FI-WARE Project full title: Future Internet Core Platform Contract No.: 285248 Strategic Objective: FI.ICT-2011.1.7 Technology foundation: Future Internet Core Platform Project Document Number: ICT-2011-FI-285248-WP2-D2.2b Project Document Date: 15 Nov. 2011 Deliverable Type and Security: Public Author: FI-WARE Consortium Contributors: FI-WARE Consortium. Abstract: This deliverable provides a high-level description of FI-WARE which can help to understand its functional scope and approach towards materialization until a first release of the FI-WARE Architecture is officially released. Keyword list: FI-WARE, PPP, Future Internet Core Platform/Technology Foundation, Cloud, Service Delivery, Future Networks, Internet of Things, Internet of Services, Open APIs Contents Articles FI-WARE Product Vision front page 1 FI-WARE Product Vision 2 Overall FI-WARE Vision 3 FI-WARE Cloud Hosting 13 FI-WARE Data/Context Management 43 FI-WARE Internet of Things (IoT) Services Enablement 94 FI-WARE Applications/Services Ecosystem and Delivery Framework 117 FI-WARE Security 161 FI-WARE Interface to Networks and Devices (I2ND) 186 Materializing Cloud Hosting in FI-WARE 217 Crowbar 224 XCAT 225 OpenStack Nova 226 System Pools 227 ISAAC 228 RESERVOIR 229 Trusted Compute Pools 230 Open Cloud Computing Interface (OCCI) 231 OpenStack Glance 232 OpenStack Quantum 233 Open -
Semantic Web Tools: an Overview 7Th International CALIBER 2009 Semantic Web Tools: an Overview
Semantic Web Tools: An Overview 7th International CALIBER 2009 Semantic Web Tools: An Overview D Shivalingaiah Umesha Naik Abstract The WWW is the largest single information resource humanity. Unfortunately, despite its dependence on computers to operate at all, most of the information is only understandable by humans and not by computers. While computers can use the syntax of HTML documents to display in a web browser, Web computers can’t understand the content the semantics. Human beings are capable of using the Web to carry out tasks such as finding the information. However, a computer cannot accomplish the same tasks without human direction because web pages are designed to be read by public, not machines. The semantic web is a vision of information that is understandable by computers, so that public can perform more of the tedious work involved in finding, sharing and combining information on the web. The paper emphasizes the semantic tools available. Keywords: Semantic Web, Ontology, Resource Description Framework, Web Ontology Language, Web Service Modeling Language, Web Service Modeling Framework, DARPA 1. Introduction the resulting network of Linked Data the Giant Global Graph, in contrast to the HTML-based The Semantic Web takes the solution further. The WWW. Semantic Web is not a separate entity from the WWW. It is an extension to the Web that adds new Web 2.0 is focused on people the Semantic Web is data and metadata to existing Web documents, focused on machines. The Web requires a human extending those documents into data. This operator, using computer systems to perform the extension of Web documents to data is what will tasks required to find, search and aggregate its enable the Web to be processed automatically by information. -
Thinking Outside the Tbox
Thinking Outside the TBox Multiparty Service Matchmaking as Information Retrieval David J. Lambert School of Informatics University of Edinburgh I V N E R U S E I T H Y T O H F G E R D I N B U Doctor of Philosophy Centre for Intelligent Systems and their Applications School of Informatics University of Edinburgh 2009 Abstract Service oriented computing is crucial to a large and growing number of computational undertakings. Central to its approach are the open and network-accessible services provided by many different organisations, and which in turn enable the easy creation of composite workflows. This leads to an environment containing many thousands of services, in which a programmer or automated composition system must discover and select services appropriate for the task at hand. This discovery and selection process is known as matchmaking. Prior work in the field has conceived the problem as one of sufficiently describing individual services using formal, symbolic knowledge representation languages. We review the prior work, and present arguments for why it is optimistic to assume that this approach will be adequate by itself. With these issues in mind, we examine how, by reformulating the task and giving the matchmaker a record of prior service performance, we can alleviate some of the problems. Using two formalisms—the incidence calculus and the lightweight coordination calculus—along with algorithms inspired by information retrieval techniques, we evolve a series of simple matchmaking agents that learn from experience how to select those services which performed well in the past, while making minimal demands on the service users. -
The Resource Description Framework and Its Schema Fabien Gandon, Reto Krummenacher, Sung-Kook Han, Ioan Toma
The Resource Description Framework and its Schema Fabien Gandon, Reto Krummenacher, Sung-Kook Han, Ioan Toma To cite this version: Fabien Gandon, Reto Krummenacher, Sung-Kook Han, Ioan Toma. The Resource Description Frame- work and its Schema. Handbook of Semantic Web Technologies, 2011, 978-3-540-92912-3. hal- 01171045 HAL Id: hal-01171045 https://hal.inria.fr/hal-01171045 Submitted on 2 Jul 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Resource Description Framework and its Schema Fabien L. Gandon, INRIA Sophia Antipolis Reto Krummenacher, STI Innsbruck Sung-Kook Han, STI Innsbruck Ioan Toma, STI Innsbruck 1. Abstract RDF is a framework to publish statements on the web about anything. It allows anyone to describe resources, in particular Web resources, such as the author, creation date, subject, and copyright of an image. Any information portal or data-based web site can be interested in using the graph model of RDF to open its silos of data about persons, documents, events, products, services, places etc. RDF reuses the web approach to identify resources (URI) and to allow one to explicitly represent any relationship between two resources. -
Service Oriented Architectures and Semantic Web Processes
Wright State University CORE Scholar The Ohio Center of Excellence in Knowledge- Kno.e.sis Publications Enabled Computing (Kno.e.sis) 2004 Service Oriented Architectures and Semantic Web Processes Francisco Cubera Kunal Verma Amit P. Sheth Wright State University - Main Campus, [email protected] Follow this and additional works at: https://corescholar.libraries.wright.edu/knoesis Part of the Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, and the Science and Technology Studies Commons Repository Citation Cubera, F., Verma, K., & Sheth, A. P. (2004). Service Oriented Architectures and Semantic Web Processes. https://corescholar.libraries.wright.edu/knoesis/62 This Tutorial is brought to you for free and open access by the The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at CORE Scholar. It has been accepted for inclusion in Kno.e.sis Publications by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. Service Oriented Architectures and Semantic Web Processes Jorge Cardoso1, Francisco Curbera2, Amit Sheth3 1University of Madeira (Portugal) 2IBM T.J. Watson Research Center (USA) 3 LSDIS Lab, University of Georgia and Semagix, Inc (USA) 2 Service Oriented Architectures and Web Services Semantic Web Processes 2 3 Semantic Web Processes Part 3 Service Oriented Architectures and Web Services 5 Overview z IT for a new business model z Service Oriented Architectures (SOAs). z Web services as an XML based instantiation of SOA. z Protocols. z Metadata. z Discovery. z Composition. z Summary. 5 6 A New Business Environment z Business outsource every non-essential function. -
Semantic Query Languages for Knowledge-Based Web Services in a Construction Context
Extended Abstract - Semantic query languages for knowledge-based web services in a construction context Jeroen Werbrouck a,b , Madhumitha Senthilvel a, Jakob Beetz a, Pierre Bourreau c, Léon van Berlo d a RWTH Aachen University, Germany b Ghent University, Belgium c Institut pour la Transition Energétique Nobatek/Inef4, France d Netherlands Organisation for Applied Scientific Research TNO, the Netherlands [email protected] 1. Introduction Building Information Modelling (BIM) has proven itself an extremely valuable asset for the construction industry, in terms of design, planning, rule checking and collaboration. However, a lot of fragmentation persists; each of the many stakeholders involved in a project has different methods and different software tools that need to exchange information. Conversion to standard exchange formats such as the Industry Foundation Classes (IFC) enables such cross-domain communication only partly. Over recent years, the use of web technologies in the building industry has been gaining momentum, considered promising mechanisms for reaching a more interoperable BIM practice. Specifically, this relates to (1) cloud-based applications, and (2) Linked Data and Semantic Web technologies. Cloud-based initiatives for streamlining collaboration in building projects have known a long history. Spanning nearly two decades, they go from the (discontinued) frameworks in the early 2000s IMSvr (Hietanen, 2002) and BLIS/SABLE (BLIS-project, 2002; Kiviniemi et al., 2005) to the more recent and popular model server BIMserver (Beetz et al., 2010), and the recently introduced concept of “BIM bots” (van Berlo, n.d.). These projects are all based on collaboration and exchange through IFC. However, IFC only spans certain disciplines and offers limited interoperability with domains that are not covered in the schema.