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Privacy Protection for Smartphones: an Ontology-Based Firewall Johanne Vincent, Christine Porquet, Maroua Borsali, Harold Leboulanger
Privacy Protection for Smartphones: An Ontology-Based Firewall Johanne Vincent, Christine Porquet, Maroua Borsali, Harold Leboulanger To cite this version: Johanne Vincent, Christine Porquet, Maroua Borsali, Harold Leboulanger. Privacy Protection for Smartphones: An Ontology-Based Firewall. 5th Workshop on Information Security Theory and Prac- tices (WISTP), Jun 2011, Heraklion, Crete, Greece. pp.371-380, 10.1007/978-3-642-21040-2_27. hal-00801738 HAL Id: hal-00801738 https://hal.archives-ouvertes.fr/hal-00801738 Submitted on 18 Mar 2013 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. Distributed under a Creative Commons Attribution| 4.0 International License Privacy Protection for Smartphones: An Ontology-Based Firewall Johann Vincent, Christine Porquet, Maroua Borsali, and Harold Leboulanger GREYC Laboratory, ENSICAEN - CNRS University of Caen-Basse-Normandie, 14000 Caen, France {johann.vincent,christine.porquet}@greyc.ensicaen.fr, {maroua.borsali,harold.leboulanger}@ecole.ensicaen.fr Abstract. With the outbreak of applications for smartphones, attempts to collect personal data without their user’s consent are multiplying and the protection of users privacy has become a major issue. In this paper, an approach based on semantic web languages (OWL and SWRL) and tools (DL reasoners and ontology APIs) is described. -
The Electronic Business Card Version 2.1
Y&DUG The Electronic Business Card Version 2.1 A ¢¡¤£¦¥¨§ © Consortium Specification September 18, 1996 © 1996, International Business Machines Corp., Lucent Technologies, Inc., and Siemens. All rights reserved. Permission is granted to copy and distribute this publication provided that it is reproduced in its entirety without modification and includes the above copyright notice and this permission notice. No licenses, express or implied, are granted with respect to any of the technology described in this publication. International Business Machines Corp., Lucent Technologies, Inc., and Siemens retain all their intellectual property rights in the technology described in this publication. Even though International Business Machines Corp., Lucent Technologies, Inc., and Siemens have reviewed this specification, INTERNATIONAL BUSINESS MACHINES CORP., LUCENT TECHNOLOGIES, INC, AND SIEMENS, MAKE NO WARRANTY OR REPRESENTATION, EITHER EXPRESS OR IMPLIED, WITH RESPECT TO THIS PUBLICATION, ITS QUALITY OR ACCURACY, NONINFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. AS A RESULT, THIS SPECIFICATION IS DELIVERED “ AS IS” AND THE READER ASSUMES THE ENTIRE RISK AS TO ITS QUALITY, ACCURACY OR SUITABILITY FOR ANY PARTICULAR PURPOSE.. IN NO EVENT WILL INTERNATIONAL BUSINESS MACHINES CORP., LUCENT TECHNOLOGIES, INC, AND SIEMENS, BE LIABLE FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES RESULTING FROM ANY DEFECT OR INACCURACY IN THIS PUBLICATION, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. This publication is provided with RESTRICTED RIGHTS. Use, duplication, or disclosure by the Government are subject to restrictions set forth in DFARS 252.227-7013 or 48 CFR 52.227-19, as applicable. ii vCard Specification, Version 2.1 Trademarks , the logo, versitcard, vCard, and vCalendar are trademarks of Apple Computer, Inc., AT&T Corp., International Business Machines Corp., and Siemens. -
Mapping Spatiotemporal Data to RDF: a SPARQL Endpoint for Brussels
International Journal of Geo-Information Article Mapping Spatiotemporal Data to RDF: A SPARQL Endpoint for Brussels Alejandro Vaisman 1, * and Kevin Chentout 2 1 Instituto Tecnológico de Buenos Aires, Buenos Aires 1424, Argentina 2 Sopra Banking Software, Avenue de Tevuren 226, B-1150 Brussels, Belgium * Correspondence: [email protected]; Tel.: +54-11-3457-4864 Received: 20 June 2019; Accepted: 7 August 2019; Published: 10 August 2019 Abstract: This paper describes how a platform for publishing and querying linked open data for the Brussels Capital region in Belgium is built. Data are provided as relational tables or XML documents and are mapped into the RDF data model using R2RML, a standard language that allows defining customized mappings from relational databases to RDF datasets. In this work, data are spatiotemporal in nature; therefore, R2RML must be adapted to allow producing spatiotemporal Linked Open Data.Data generated in this way are used to populate a SPARQL endpoint, where queries are submitted and the result can be displayed on a map. This endpoint is implemented using Strabon, a spatiotemporal RDF triple store built by extending the RDF store Sesame. The first part of the paper describes how R2RML is adapted to allow producing spatial RDF data and to support XML data sources. These techniques are then used to map data about cultural events and public transport in Brussels into RDF. Spatial data are stored in the form of stRDF triples, the format required by Strabon. In addition, the endpoint is enriched with external data obtained from the Linked Open Data Cloud, from sites like DBpedia, Geonames, and LinkedGeoData, to provide context for analysis. -
A Review of Openstreetmap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co
CHAPTER 3 A Review of OpenStreetMap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co. Kildare, Ireland, [email protected] †Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy Abstract While there is now a considerable variety of sources of Volunteered Geo- graphic Information (VGI) available, discussion of this domain is often exem- plified by and focused around OpenStreetMap (OSM). In a little over a decade OSM has become the leading example of VGI on the Internet. OSM is not just a crowdsourced spatial database of VGI; rather, it has grown to become a vast ecosystem of data, software systems and applications, tools, and Web-based information stores such as wikis. An increasing number of developers, indus- try actors, researchers and other end users are making use of OSM in their applications. OSM has been shown to compare favourably with other sources of spatial data in terms of data quality. In addition to this, a very large OSM community updates data within OSM on a regular basis. This chapter provides an introduction to and review of OSM and the ecosystem which has grown to support the mission of creating a free, editable map of the whole world. The chapter is especially meant for readers who have no or little knowledge about the range, maturity and complexity of the tools, services, applications and organisations working with OSM data. We provide examples of tools and services to access, edit, visualise and make quality assessments of OSM data. We also provide a number of examples of applications, such as some of those How to cite this book chapter: Mooney, P and Minghini, M. -
Wiki Semantics Via Wiki Templating
Chapter XXXIV Wiki Semantics via Wiki Templating Angelo Di Iorio Department of Computer Science, University of Bologna, Italy Fabio Vitali Department of Computer Science, University of Bologna, Italy Stefano Zacchiroli Universitè Paris Diderot, PPS, UMR 7126, Paris, France ABSTRACT A foreseeable incarnation of Web 3.0 could inherit machine understandability from the Semantic Web, and collaborative editing from Web 2.0 applications. We review the research and development trends which are getting today Web nearer to such an incarnation. We present semantic wikis, microformats, and the so-called “lowercase semantic web”: they are the main approaches at closing the technological gap between content authors and Semantic Web technologies. We discuss a too often neglected aspect of the associated technologies, namely how much they adhere to the wiki philosophy of open editing: is there an intrinsic incompatibility between semantic rich content and unconstrained editing? We argue that the answer to this question can be “no”, provided that a few yet relevant shortcomings of current Web technologies will be fixed soon. INTRODUCTION Web 3.0 can turn out to be many things, it is hard to state what will be the most relevant while still debating on what Web 2.0 [O’Reilly (2007)] has been. We postulate that a large slice of Web 3.0 will be about the synergies between Web 2.0 and the Semantic Web [Berners-Lee et al. (2001)], synergies that only very recently have begun to be discovered and exploited. We base our foresight on the observation that Web 2.0 and the Semantic Web are converging to a common point in their initially split evolution lines. -
Hidden Meaning
FEATURES Microdata and Microformats Kit Sen Chin, 123RF.com Chin, Sen Kit Working with microformats and microdata Hidden Meaning Programs aren’t as smart as humans when it comes to interpreting the meaning of web information. If you want to maximize your search rank, you might want to dress up your HTML documents with microformats and microdata. By Andreas Möller TML lets you mark up sections formats and microdata into your own source code for the website shown in of text as headings, body text, programs. Figure 1 – an HTML5 document with a hyperlinks, and other web page business card. The Heading text block is H elements. However, these defi- Microformats marked up with the element h1. The text nitions have nothing to do with the HTML was originally designed for hu- for the business card is surrounded by meaning of the data: Does the text refer mans to read, but with the explosive the div container element, and <br/> in- to a person, an organization, a product, growth of the web, programs such as troduces a line break. or an event? Microformats [1] and their search engines also process HTML data. It is easy for a human reader to see successor, microdata [2] make the mean- What do programs that read HTML data that the data shown in Figure 1 repre- ing a bit more clear by pointing to busi- typically find? Listing 1 shows the HTML sents a business card – even if the text is ness cards, product descriptions, offers, and event data in a machine-readable LISTING 1: HTML5 Document with Business Card way. -
HTML5 for .NET Developers by Jim Jackson II Ian Gilman
S AMPLE CHAPTER Single page web apps, JavaScript, and semantic markup Jim Jackson II Ian Gilman FOREWORD BY Scott Hanselman MANNING HTML5 for .NET Developers by Jim Jackson II Ian Gilman Chapter 1 Copyright 2013 Manning Publications brief contents 1 ■ HTML5 and .NET 1 2 ■ A markup primer: classic HTML, semantic HTML, and CSS 33 3 ■ Audio and video controls 66 4 ■ Canvas 90 5 ■ The History API: Changing the game for MVC sites 118 6 ■ Geolocation and web mapping 147 7 ■ Web workers and drag and drop 185 8 ■ Websockets 214 9 ■ Local storage and state management 248 10 ■ Offline web applications 273 vii HTML5 and .NET This chapter covers ■ Understanding the scope of HTML5 ■ Touring the new features in HTML5 ■ Assessing where HTML5 fits in software projects ■ Learning what an HTML application is ■ Getting started with HTML applications in Visual Studio You’re really going to love HTML5. It’s like having a box of brand new toys in front of you when you have nothing else to do but play. Forget pushing the envelope; using HTML5 on the client and .NET on the server gives you the ability to create entirely new envelopes for executing applications inside browsers that just a few years ago would have been difficult to build even as desktop applications. The abil- ity to use the skills you already have to build robust and fault-tolerant .NET solu- tions for any browser anywhere gives you an advantage in the market that we hope to prove throughout this book. For instance, with HTML5, you can ■ Tap the new Geolocation API to locate your users anywhere -
Where Is the Semantic Web? – an Overview of the Use of Embeddable Semantics in Austria
Where Is The Semantic Web? – An Overview of the Use of Embeddable Semantics in Austria Wilhelm Loibl Institute for Service Marketing and Tourism Vienna University of Economics and Business, Austria [email protected] Abstract Improving the results of search engines and enabling new online applications are two of the main aims of the Semantic Web. For a machine to be able to read and interpret semantic information, this content has to be offered online first. With several technologies available the question arises which one to use. Those who want to build the software necessary to interpret the offered data have to know what information is available and in which format. In order to answer these questions, the author analysed the business websites of different Austrian industry sectors as to what semantic information is embedded. Preliminary results show that, although overall usage numbers are still small, certain differences between individual sectors exist. Keywords: semantic web, RDFa, microformats, Austria, industry sectors 1 Introduction As tourism is a very information-intense industry (Werthner & Klein, 1999), especially novel users resort to well-known generic search engines like Google to find travel related information (Mitsche, 2005). Often, these machines do not provide satisfactory search results as their algorithms match a user’s query against the (weighted) terms found in online documents (Berry and Browne, 1999). One solution to this problem lies in “Semantic Searches” (Maedche & Staab, 2002). In order for them to work, web resources must first be annotated with additional metadata describing the content (Davies, Studer & Warren., 2006). Therefore, anyone who wants to provide data online must decide on which technology to use. -
Mobile Application for Interactive Digital Business Card
MOBILE APPLICATION FOR INTERACTIVE DIGITAL BUSINESS CARD By Chan You Ming A PROPOSAL SUBMITTED TO Universiti Tunku Abdul Rahman in partial fulfillment of the requirements for the degree of BACHELOR OF COMPUTER SCIENCE (HONS) Faculty of Information and Communication Technology (Kampar Campus) MAY 2018 REPORT STATUS DECLARATION FORM UNIVERSITI TUNKU ABDUL RAHMAN REPORT STATUS DECLARATION FORM Title: __________________________________________________________ __________________________________________________________ Academic Session: _____________ I __________________________________________________________ (CAPITAL LETTER) declare that I allow this Final Year Project Report to be kept in Universiti Tunku Abdul Rahman Library subject to the regulations as follows: 1. The dissertation is a property of the Library. 2. The Library is allowed to make copies of this dissertation for academic purposes. Verified by, _______________________ _______________________ (Author’s signature) (Supervisor’s signature) Address: __________________________ __________________________ _________________________ __________________________ Supervisor’s name Date: _____________________ Date:____________________ BCS (Hons) Computer Science Faculty of Information and Communication Technology (Kampar Campus), UTAR ii TITLE PAGE MOBILE APPLICATION FOR INTERACTIVE DIGITAL BUSINESS CARD By Chan You Ming A PROPOSAL SUBMITTED TO Universiti Tunku Abdul Rahman in partial fulfillment of the requirements for the degree of BACHELOR OF COMPUTER SCIENCE (HONS) Faculty of Information -
Microformats the Next (Small) Thing on the Semantic Web?
Standards Editor: Jim Whitehead • [email protected] Microformats The Next (Small) Thing on the Semantic Web? Rohit Khare • CommerceNet “Designed for humans first and machines second, microformats are a set of simple, open data formats built upon existing and widely adopted standards.” — Microformats.org hen we speak of the “evolution of the is precisely encoding the great variety of person- Web,” it might actually be more appropri- al, professional, and genealogical relationships W ate to speak of “intelligent design” — we between people and organizations. By contrast, can actually point to a living, breathing, and an accidental challenge is that any blogger with actively involved Creator of the Web. We can even some knowledge of HTML can add microformat consult Tim Berners-Lee’s stated goals for the markup to a text-input form, but uploading an “promised land,” dubbed the Semantic Web. Few external file dedicated to machine-readable use presume we could reach those objectives by ran- remains forbiddingly complex with most blog- domly hacking existing Web standards and hop- ging tools. ing that “natural selection” by authors, software So, although any intelligent designer ought to developers, and readers would ensure powerful be able to rely on the long-established facility of enough abstractions for it. file transfer to publish the “right” model of a social Indeed, the elegant and painstakingly inter- network, the path of least resistance might favor locked edifice of technologies, including RDF, adding one of a handful of fixed tags to an exist- XML, and query languages is now growing pow- ing indirect form — the “blogroll” of hyperlinks to erful enough to attack massive information chal- other people’s sites. -
Import Contacts Into Ut670 (Outlook & Tde/Ncp)
Application Guide No. 014 (First Edition) PSNE Technical Support Application Guide IMPORT CONTACTS INTO UT670 (OUTLOOK & TDE/NCP) Disclaimer This solution/product has been confirmed to provide the described level of functionality at the time of testing, however we do not guarantee operation and we are not responsible for changes to Hardware or Software which may affect the suitability of this solution/product. Up date Edition Date of issue Modification Note 1st 13 March. 2012 Original Introduction The aim of this guide is to import contacts created in Outlook, or Extensions on the TDE, or NCP, into the UT670 as contacts. The UT670 can import and Import vCard contacts. vCards are containers for, contact information. The commonly-used filename extension for vCards is .vcf or .vcard The UT670 will read the .vcf, .vcard files from the ROOT of the SD card when Importing. Please remove the SD card safely from the UT670 and insert into PC/Card reader before starting the next steps. Software used in this guide: Microsoft Outlook 2007 Microsoft Excel 2007 CSV2VCF (Freeware: http://sourceforge.net/projects/csv2vcf/) Exporting Outlook Contacts Outlook can directly Export contacts as .vcf file. To export Locally stored contacts: 1. Open Outlook. 2. Click on Contacts. 3. Select the desired contacts list folder. 4. Highlight all the contacts within the list. 5. Right-click on Highlighted contacts and select ‘Send as Business Card’. 6. An email will open with all contacts attached as .vcf files. 7. Select all the attachments, right-click and ‘Copy’ the files. 8. Open ‘My computer’, and navigate to the SD Card. -
Data Models for Home Services
__________________________________________PROCEEDING OF THE 13TH CONFERENCE OF FRUCT ASSOCIATION Data Models for Home Services Vadym Kramar, Markku Korhonen, Yury Sergeev Oulu University of Applied Sciences, School of Engineering Raahe, Finland {vadym.kramar, markku.korhonen, yury.sergeev}@oamk.fi Abstract An ultimate penetration of communication technologies allowing web access has enriched a conception of smart homes with new paradigms of home services. Modern home services range far beyond such notions as Home Automation or Use of Internet. The services expose their ubiquitous nature by being integrated into smart environments, and provisioned through a variety of end-user devices. Computational intelligence require a use of knowledge technologies, and within a given domain, such requirement as a compliance with modern web architecture is essential. This is where Semantic Web technologies excel. A given work presents an overview of important terms, vocabularies, and data models that may be utilised in data and knowledge engineering with respect to home services. Index Terms: Context, Data engineering, Data models, Knowledge engineering, Semantic Web, Smart homes, Ubiquitous computing. I. INTRODUCTION In recent years, a use of Semantic Web technologies to build a giant information space has shown certain benefits. Rapid development of Web 3.0 and a use of its principle in web applications is the best evidence of such benefits. A traditional database design in still and will be widely used in web applications. One of the most important reason for that is a vast number of databases developed over years and used in a variety of applications varying from simple web services to enterprise portals. In accordance to Forrester Research though a growing number of document, or knowledge bases, such as NoSQL is not a hype anymore [1].