DOCSLIB.ORG

Ontologies and Semantic Web for the Internet of Things - a Survey

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Ontologies and Semantic Web for the Internet of Things - a Survey See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/312113565 Ontologies and Semantic Web for the Internet of Things - a survey Conference Paper · October 2016 DOI: 10.1109/IECON.2016.7793744 CITATIONS READS 5 256 2 authors: Ioan Szilagyi Patrice Wira Université de Haute-Alsace Université de Haute-Alsace 10 PUBLICATIONS 17 CITATIONS 122 PUBLICATIONS 679 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Physics of Solar Cells and Systems View project Artificial intelligence for renewable power generation and management: Application to wind and photovoltaic systems View project All content following this page was uploaded by Patrice Wira on 08 January 2018. The user has requested enhancement of the downloaded file. Ontologies and Semantic Web for the Internet of Things – A Survey Ioan Szilagyi, Patrice Wira MIPS Laboratory, University of Haute-Alsace, Mulhouse, France {ioan.szilagyi; patrice.wira}@uha.fr Abstract—The reality of Internet of Things (IoT), with its one of the most important task in an IoT system [6]. Providing growing number of devices and their diversity is challenging interoperability among the things is “one of the most current approaches and technologies for a smarter integration of fundamental requirements to support object addressing, their data, applications and services. While the Web is seen as a tracking and discovery as well as information representation, convenient platform for integrating things, the Semantic Web can storage, and exchange” [4]. further improve its capacity to understand things’ data and facilitate their interoperability. In this paper we present an There is consensus that Semantic Technologies is the overview of some of the Semantic Web technologies used in IoT appropriate tool to address the diversity of Things [4], [7]–[9]. systems, as well as some of the well accepted ontologies used to “Formal semantics enable the knowledge management and develop applications and services for the IoT. We finally present data exchange in a machine-interpretable way. This makes the Semantic Web Stack for the Internet of Things pointing out semantic technologies a key to overcome common modelling, some of its shortcomings in the development of an IoT model-exchange and interoperability problems that need to be application or service. solved across the life cycle of systems” [9]. Keywords—semantic web; internet of things; ontology; schema Without the objective of being exhaustive in our IoT; OWL presentation, we outline some of the works in the domain and provide a survey on existing ontologies. We finally propose a I. INTRODUCTION Semantic Web Stack for the IoT. The Internet of Things (IoT) is a technological evolution that, by interconnecting things, provides the basic structure for II. INTERNET OF THINGS the development of next generation everyday services and Defining the IoT is not an easy task. IEEE launched an applications. Cisco states that the IoT was born sometime invitation intended to establish a baseline definition for IoT, between 2008 and 2009 when the number of connected devices and in May 2015 they published a document that provides an on the Internet exceeded the number of world population. They overview of current definitions and concepts used in the estimate that by 2020 the IoT will feature around 50 billion domain of IoT. Depending on the environment scenario, which connected devices [1]. With the penetration and the can be small or large, the IoT is defined as follow: (1) for the convergence of the Internet, the IoT will eventually evolve small environment scenario the IoT is “a network that connects onto the Internet of Everything [2]. uniquely identifiable ‘Things’ to the Internet. The ‘Things’ have sensing/actuation and potential programmability An Internet of Things’ adapted Metcalf Law [3, p. 184] capabilities. Through the exploitation of unique identification would state that the value of a network is proportional to the and sensing, information about the ‘Thing’ can be collected square of the number of connected things (e.g. compatible and the state of the ‘Thing’ can be changed from anywhere, communicating devices, users). The value of the network will anytime, by anything.”, and (2) for the large environment determine its capacity to understand a situation or a context and scenario, the IoT is : “a self-configuring, adaptive, complex this understanding will “potentially enable services and network that interconnects ‘things’ to the Internet through the application to make intelligent decisions and to respond to the use of standard communication protocols. The interconnected dynamics of their environment” [4]. things have physical or virtual representation in the digital The capacity of the IoT to understand its environment is world, sensing/actuation capability, a programmability given by its interdisciplinary nature. Services in sectors like feature and are uniquely identifiable. The representation buildings, energy, consumers and homes, healthcare and life contains information including the thing’s identity, status, science, industry, transportation, retail, security/public safety location or any other business, social or privately relevant and, of course, IT and networks are represented in the IoT information. The things offer services, with or without through a variety of applications and over “300 different device human intervention, through the exploitation of unique types” [5]. However, the variety of devices that covers different identification, data capture and communication, and aspects of the environment has direct consequences on the data actuation capability. The service is exploited through the use that they produce and can limit the capacity of higher level of intelligent interfaces and is made available anywhere, systems to interpret and process the generated data. The anytime and for anything taking security into integration of data generated by the large diversity of things is consideration” [10]. The difference between a small and a I. Szilagyi and P. Wira, "Ontologies and semantic web for the internet of things," 42nd IEEE Industrial Electronics Conference (IECON 2016), Florence, Italy, October 24-27, 2016, pp. 6949-6954 (DOI: 10.1109/IECON.2016.7793744) large environment is given by its complexity defined in terms itself does not necessarily possess computational and of number of connected things and the thing’s communication capabilities. These capabilities are given by a ownership/management capabilities. The IERC (European chip that is attached and deeply integrated into the Thing. The Research Cluster on the Internet of Things) definition states things that form the IoT were not necessarily created with the that IoT is “a dynamic global network infrastructure with self- purpose of connecting them to the Internet (the first IoT thing configuring capabilities based on standards and interoperable was a toaster [13]). Generally, all kind of things can be communication protocols where physical and virtual ‘things’ connected to an IoT system. However, a Thing must possess have identities, physical attributes, and virtual personalities some interest for a service or an application; it must do and user intelligent interfaces, and are seamlessly integrated something useful in order to be considered for integration in an into the information network” [11]. The ITU (International IoT system. These things can be: Tags (e.g. QR Code, RFID); Telecommunication Union) defines IoT as “a global Devices (e.g. Arduino, Raspberry Pi), Machines (e.g. Smart infrastructure for the information society, enabling advanced Bulb, Smart Car), or even entire Environments (e.g. Smart services by interconnecting (physical and virtual) things based Building, Smart City)[14, p. 4]. on existing and evolving interoperable information and communication technologies” [12]. According to these When integrated into an IoT system, the Thing can be definitions IoT is primarily a network. characterized by three main capabilities: (1) communication; (2) programmability (data processing and storage); and (3) While an IoT system can become very complex, we present sensing and/or actuating capabilities. ITU defines the “device” in Fig. 1 a simple and basic architecture based on an IoT as a “piece of equipment with mandatory capabilities of system. The Thing, which has computational and communication and the optional capabilities of sensing, communication capabilities can exchange information with actuation, data capture, data storage and data processing” [12]. other things on the network in order to coordinate their actions Sensing and/or actuating capabilities allow the Thing to and/or they can simply produce data that will be used at a interact with its environment. A Thing may dispose of sensing higher level of the service or application (e.g. analytics, (e.g. thermometer), actuating (e.g. motors) or both capabilities business decisions). (e.g. thermostat). While the actuating capabilities are usually restricted and would require in most cases authorizations, Without re-considering here all the aspects and sensing capabilities can be shared to multiple services and characteristics defining an IoT system, we will emphasize on applications, and so contributing to the overall value of the IoT. some of its elements’ characteristics. While the network aspect is a core component and tight related to Internet standards and The programmable capability gives some autonomy
Load more

Recommended publications
  • Rdfa in XHTML: Syntax and Processing Rdfa in XHTML: Syntax and Processing
    RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing A collection of attributes and processing rules for extending XHTML to support RDF W3C Recommendation 14 October 2008 This version: http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014 Latest version: http://www.w3.org/TR/rdfa-syntax Previous version: http://www.w3.org/TR/2008/PR-rdfa-syntax-20080904 Diff from previous version: rdfa-syntax-diff.html Editors: Ben Adida, Creative Commons [email protected] Mark Birbeck, webBackplane [email protected] Shane McCarron, Applied Testing and Technology, Inc. [email protected] Steven Pemberton, CWI Please refer to the errata for this document, which may include some normative corrections. This document is also available in these non-normative formats: PostScript version, PDF version, ZIP archive, and Gzip’d TAR archive. The English version of this specification is the only normative version. Non-normative translations may also be available. Copyright © 2007-2008 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The current Web is primarily made up of an enormous number of documents that have been created using HTML. These documents contain significant amounts of structured data, which is largely unavailable to tools and applications. When publishers can express this data more completely, and when tools can read it, a new world of user functionality becomes available, letting users transfer structured data between applications and web sites, and allowing browsing applications to improve the user experience: an event on a web page can be directly imported - 1 - How to Read this Document RDFa in XHTML: Syntax and Processing into a user’s desktop calendar; a license on a document can be detected so that users can be informed of their rights automatically; a photo’s creator, camera setting information, resolution, location and topic can be published as easily as the original photo itself, enabling structured search and sharing.
    [Show full text]
  • The Application of Semantic Web Technologies to Content Analysis in Sociology
    THEAPPLICATIONOFSEMANTICWEBTECHNOLOGIESTO CONTENTANALYSISINSOCIOLOGY MASTER THESIS tabea tietz Matrikelnummer: 749153 Faculty of Economics and Social Science University of Potsdam Erstgutachter: Alexander Knoth, M.A. Zweitgutachter: Prof. Dr. rer. nat. Harald Sack Potsdam, August 2018 Tabea Tietz: The Application of Semantic Web Technologies to Content Analysis in Soci- ology, , © August 2018 ABSTRACT In sociology, texts are understood as social phenomena and provide means to an- alyze social reality. Throughout the years, a broad range of techniques evolved to perform such analysis, qualitative and quantitative approaches as well as com- pletely manual analyses and computer-assisted methods. The development of the World Wide Web and social media as well as technical developments like optical character recognition and automated speech recognition contributed to the enor- mous increase of text available for analysis. This also led sociologists to rely more on computer-assisted approaches for their text analysis and included statistical Natural Language Processing (NLP) techniques. A variety of techniques, tools and use cases developed, which lack an overall uniform way of standardizing these approaches. Furthermore, this problem is coupled with a lack of standards for reporting studies with regards to text analysis in sociology. Semantic Web and Linked Data provide a variety of standards to represent information and knowl- edge. Numerous applications make use of these standards, including possibilities to publish data and to perform Named Entity Linking, a specific branch of NLP. This thesis attempts to discuss the question to which extend the standards and tools provided by the Semantic Web and Linked Data community may support computer-assisted text analysis in sociology. First, these said tools and standards will be briefly introduced and then applied to the use case of constitutional texts of the Netherlands from 1884 to 2016.
    [Show full text]
  • The Semantic Web: the Origins of Artificial Intelligence Redux
    The Semantic Web: The Origins of Artificial Intelligence Redux Harry Halpin ICCS, School of Informatics University of Edinburgh 2 Buccleuch Place Edinburgh EH8 9LW Scotland UK Fax:+44 (0) 131 650 458 E-mail:[email protected] Corresponding author is Harry Halpin. For further information please contact him. This is the tear-off page. To facilitate blind review. Title:The Semantic Web: The Origins of AI Redux working process managed to both halt the fragmentation of Submission for HPLMC-04 the Web and create accepted Web standards through its con- sensus process and its own research team. The W3C set three long-term goals for itself: universal access, Semantic Web, and a web of trust, and since its creation these three goals 1 Introduction have driven a large portion of development of the Web(W3C, 1999) The World Wide Web is considered by many to be the most significant computational phenomenon yet, although even by One comparable program is the Hilbert Program in mathe- the standards of computer science its development has been matics, which set out to prove all of mathematics follows chaotic. While the promise of artificial intelligence to give us from a finite system of axioms and that such an axiom system machines capable of genuine human-level intelligence seems is consistent(Hilbert, 1922). It was through both force of per- nearly as distant as it was during the heyday of the field, the sonality and merit as a mathematician that Hilbert was able ubiquity of the World Wide Web is unquestionable. If any- to set the research program and his challenge led many of the thing it is the Web, not artificial intelligence as traditionally greatest mathematical minds to work.
    [Show full text]
  • Exploiting Semantic Web Knowledge Graphs in Data Mining
    Exploiting Semantic Web Knowledge Graphs in Data Mining Inauguraldissertation zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften der Universit¨atMannheim presented by Petar Ristoski Mannheim, 2017 ii Dekan: Dr. Bernd Lübcke, Universität Mannheim Referent: Professor Dr. Heiko Paulheim, Universität Mannheim Korreferent: Professor Dr. Simone Paolo Ponzetto, Universität Mannheim Tag der mündlichen Prüfung: 15 Januar 2018 Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in that field are knowledge intensive and can often benefit from using additional knowledge from various sources. Therefore, many approaches have been proposed in this area that combine Semantic Web data with the data mining and knowledge discovery process. Semantic Web knowledge graphs are a backbone of many in- formation systems that require access to structured knowledge. Such knowledge graphs contain factual knowledge about real word entities and the relations be- tween them, which can be utilized in various natural language processing, infor- mation retrieval, and any data mining applications. Following the principles of the Semantic Web, Semantic Web knowledge graphs are publicly available as Linked Open Data. Linked Open Data is an open, interlinked collection of datasets in machine-interpretable form, covering most of the real world domains. In this thesis, we investigate the hypothesis if Semantic Web knowledge graphs can be exploited as background knowledge in different steps of the knowledge discovery process, and different data mining tasks. More precisely, we aim to show that Semantic Web knowledge graphs can be utilized for generating valuable data mining features that can be used in various data mining tasks.
    [Show full text]
  • Semantic Web
    Semantic Web Ing. Federico Chesani Corso di Fondamenti di Intelligenza Artificiale M Outline 1. Introduction a) The map of the Web (accordingly to Tim Berners-Lee) b) The current Web and its limits c) The Semantic Web idea 2. Semantic Information (a bird’s eye view) a) Semantic Models b) Ontologies c) Few examples 3. Semantic Web Tools a) Unique identifiers -URI b) XML c) RDF and SPARQL d) OWL 4. Semantic Web: where are we? a) Problems against the success of SW proposal b) Critics against SW c) Few considerations d) Few links to start with The Web Map (by Berners-Lee) ©Tim Berners-Lee, http://www.w3.org/2007/09/map/main.jpg About the content Knowledge Representation Semantic Web Web The Web 1.0 … • Information represented by means of: – Natural language – Images, multimedia, graphic rendering/aspect • Human Users easily exploit all this means for: – Deducting facts from partial information – Creating mental asociations (between the facts and, e.g., the images) – They use different communication channels at the same time (contemporary use of many primitive senses) The Web 1.0 … • The content is published on the web with the principal aim of being “human-readable” – Standard HTML is focused on how to represent the content – There is no notion of what is represented – Few tags (e.g. <title>) provide an implicit semantics but … • … their content is not structured • … their use is not really standardized The Web 1.0 … We can identify the title by means of its representation (<h1>, <b>) … … what if tomorrow the designer changes the format of the web pages? <h1> <!-- inizio TITOLO --> <B> Finanziaria, il voto slitta a domani<br> Al Senato va in scena l&#039;assurdo </B> <!-- fine TITOLO --> </h1> The Web 1.0 … • Web pages contain also links to other pages, but ..
    [Show full text]
  • Semantic Web: a Review of the Field Pascal Hitzler [email protected] Kansas State University Manhattan, Kansas, USA
    Semantic Web: A Review Of The Field Pascal Hitzler [email protected] Kansas State University Manhattan, Kansas, USA ABSTRACT which would probably produce a rather different narrative of the We review two decades of Semantic Web research and applica- history and the current state of the art of the field. I therefore do tions, discuss relationships to some other disciplines, and current not strive to achieve the impossible task of presenting something challenges in the field. close to a consensus – such a thing seems still elusive. However I do point out here, and sometimes within the narrative, that there CCS CONCEPTS are a good number of alternative perspectives. The review is also necessarily very selective, because Semantic • Information systems → Graph-based database models; In- Web is a rich field of diverse research and applications, borrowing formation integration; Semantic web description languages; from many disciplines within or adjacent to computer science, Ontologies; • Computing methodologies → Description log- and a brief review like this one cannot possibly be exhaustive or ics; Ontology engineering. give due credit to all important individual contributions. I do hope KEYWORDS that I have captured what many would consider key areas of the Semantic Web field. For the reader interested in obtaining amore Semantic Web, ontology, knowledge graph, linked data detailed overview, I recommend perusing the major publication ACM Reference Format: outlets in the field: The Semantic Web journal,1 the Journal of Pascal Hitzler. 2020. Semantic Web: A Review Of The Field. In Proceedings Web Semantics,2 and the proceedings of the annual International of . ACM, New York, NY, USA, 7 pages.
    [Show full text]
  • Semantic Web Technologies and Data Management
    Semantic Web Technologies and Data Management Li Ma, Jing Mei, Yue Pan Krishna Kulkarni Achille Fokoue, Anand Ranganathan IBM China Research Laboratory IBM Software Group IBM Watson Research Center Bei Jing 100094, China San Jose, CA 95141-1003, USA New York 10598, USA Introduction The Semantic Web aims to build a common framework that allows data to be shared and reused across applications, enterprises, and community boundaries. It proposes to use RDF as a flexible data model and use ontology to represent data semantics. Currently, relational models and XML tree models are widely used to represent structured and semi-structured data. But they offer limited means to capture the semantics of data. An XML Schema defines a syntax-valid XML document and has no formal semantics, and an ER model can capture data semantics well but it is hard for end-users to use them when the ER model is transformed into a physical database model on which user queries are evaluated. RDFS and OWL ontologies can effectively capture data semantics and enable semantic query and matching, as well as efficient data integration. The following example illustrates the unique value of semantic web technologies for data management. Figure 1. An example of ontology based data management In Figure 1, we have two tables in a relational database. One stores some basic information of several companies, and another one describes shareholding relationship among these companies. Sometimes, users want to issue such a query “find Company EDOX’s all direct and indirect shareholders which are from Europe and are IT company”. Based on the data stored in the database, existing RDBMSes cannot represent and answer the above query.
    [Show full text]
  • Interacting with Semantic Web Data Through an Automatic Information Architecture Josep Maria Brunetti Fernández
    Nom/Logotip de la Universitat on s’ha llegit la tesi Interacting with Semantic Web Data through an Automatic Information Architecture Josep Maria Brunetti Fernández Dipòsit Legal: L.313-2014 http://hdl.handle.net/10803/131223 Interacting with semantic web data throught an automatic information architecture està subjecte a una llicència de Reconeixement-NoComercial-CompartirIgual 3.0 No adaptada de Creative Commons (c) 2013, Josep Maria Brunetti Fernández Universitat de Lleida Escola Polit`ecnicaSuperior Interacting with Semantic Web Data through an Automatic Information Architecture by Josep Maria Brunetti Fern´andez Thesis submitted to the University of Lleida in fulfillment of the requirements for the degree of Doctor in Computer Science Under supervision of PhD Roberto Garc´ıaGonz´alez Lleida, December 2013 Acknowledgments Voldria mostrar el meu agra¨ıment a totes aquelles persones que han col laborat d’una · manera o altra amb aquesta tesis. I despr´es d’escriure tantes p`agines en angl`es, voldria fer-ho en catal`a. Al cap i a la fi, si en aquesta mem`oria hi ha una petita part on puc expressar lliurement all`oque sento, ´es aqu´ı; i no tinc millor manera de fer-ho que en catal`a, perqu`e´es la meva llengua materna i ´es amb la que millor m’expresso. Tot i que alguns es capfiquin en canviar-li el nom o intentin reduir-ne el seu ´us, som moltes persones les que parlem en catal`a i seguirem fent-ho. Nom´es demanem que es respecti com qualsevol altra llengua. En primer lloc, el meu m´es sincer agra¨ıment al Roberto Garc´ıa, director d’aquesta tesis.
    [Show full text]
  • The Semantic
    The Fate of the Semantic Web Technology experts and stakeholders who participated in a recent survey believe online information will continue to be organized and made accessible in smarter and more useful ways in coming years, but there is stark dispute about whether the improvements will match the visionary ideals of those who are working to build the semantic web. Janna Quitney Anderson, Elon University Lee Rainie, Pew Research Center’s Internet & American Life Project May 4, 2010 Pew Research Center’s Internet & American Life Project An initiative of the Pew Research Center 1615 L St., NW – Suite 700 Washington, D.C. 20036 202‐419‐4500 | pewInternet.org This publication is part of a Pew Research Center series that captures people’s expectations for the future of the Internet, in the process presenting a snapshot of current attitudes. Find out more at: http://www.pewInternet.org/topics/Future‐of‐the‐Internet.aspx and http://www.imaginingtheinternet.org. 1 Overview Sir Tim Berners‐Lee, the inventor of the World Wide Web, has worked along with many others in the Internet community for more than a decade to achieve his next big dream: the semantic web. His vision is a web that allows software agents to carry out sophisticated tasks for users, making meaningful connections between bits of information so “computers can perform more of the tedious work involved in finding, combining, and acting upon information on the web.”1 The concept of the semantic web has been fluid and evolving and never quite found a concrete expression and easily‐understood application that could be grasped readily by ordinary Internet users.
    [Show full text]
  • Application of Resource Description Framework to Personalise Learning: Systematic Review and Methodology
    Informatics in Education, 2017, Vol. 16, No. 1, 61–82 61 © 2017 Vilnius University DOI: 10.15388/infedu.2017.04 Application of Resource Description Framework to Personalise Learning: Systematic Review and Methodology Tatjana JEVSIKOVA1, Andrius BERNIUKEVIČIUS1 Eugenijus KURILOVAS1,2 1Vilnius University Institute of Mathematics and Informatics Akademijos str. 4, LT-08663 Vilnius, Lithuania 2Vilnius Gediminas Technical University Sauletekio al. 11, LT-10223 Vilnius, Lithuania e-mail: [email protected], [email protected], [email protected] Received: July 2016 Abstract. The paper is aimed to present a methodology of learning personalisation based on ap- plying Resource Description Framework (RDF) standard model. Research results are two-fold: first, the results of systematic literature review on Linked Data, RDF “subject-predicate-object” triples, and Web Ontology Language (OWL) application in education are presented, and, second, RDF triples-based learning personalisation methodology is proposed. The review revealed that OWL, Linked Data, and triples-based RDF standard model could be successfully used in educa- tion. On the other hand, although OWL, Linked Data approach and RDF standard model are al- ready well-known in scientific literature, only few authors have analysed its application to person- alise learning process, but many authors agree that OWL, Linked Data and RDF-based learning personalisation trends should be further analysed. The main scientific contribution of the paper is presentation of original methodology to create personalised RDF triples to further development of corresponding OWL-based ontologies and recommender system. According to this methodology, RDF-based personalisation of learning should be based on applying students’ learning styles and intelligent technologies.
    [Show full text]
  • 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.
    [Show full text]
  • Semantic Web Methods for Knowledge Management
    Semantic Web Methods for Knowledge Management Zur Erlangung des akademischen Grades eines Doktors der Wirtschaftswissenschaften (Dr. rer. pol.) an der Fakultät für Wirtschaftswissenschaften der Universität Fridericiana zu Karlsruhe (TH) genehmigte DISSERTATION von Diplom-Informatiker Stefan Decker Tag der mündlichen Prüfung: 22. Februar 2002 Referent: Prof. Dr. Rudi Studer 1. Korreferent: Prof. Dr. Peter Knauth 2. Korreferent: Prof. Dr. Gio Wiederhold 2002 Karlsruhe What information consumes is rather obvious: It consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sour- ces that might consume it. Nobel Laureate Economist Herbert A. Simon. Acknowledgement The main results of this thesis were obtained during my time at the Institute AIFB at the University of Karlsruhe, Germany. I would like to express my gratitude to my advisor, Prof. Dr. Rudi Studer, for his support, patience, and encouragement throughout my graduate studies. It is not often that one finds an advisor and colleague who always finds the time for listening to the little problems and roadblocks that unavoidably crop up in the course of performing research. I am also grateful to Prof. Dr. Peter Knauth and Prof. Gio Wiederhold who were willing to serve on my dissertation committee on a very short notice, and to Prof. Dr. Wolfried Stucky and Prof. Dr. Andreas Geyer-Schulz, who served on the examination committee. My thanks also go to all the colleagues at the Institute AIFB - in particular to Dr. Michael Erdmann - together we worked on the nitty-gritty details of the Ontobroker architecture, and Michael helped me to shape my ideas about the future of the Web.
    [Show full text]