How to Publish Linked Data on the Web

Total Page:16

File Type:pdf, Size:1020Kb

How to Publish Linked Data on the Web How to Publish Linked Data on the Web Tom Heath, Michael Hausenblas, Chris Bizer, Richard Cyganiak, Olaf Hartig Half-day Tutorial at ISWC2008 27th October 2008, Karlsruhe, Germany Objectives Introduce the concept of Linked Data Highlight why you would want to publish Linked Data on the Web Introduce the principles and best practices of publishing Linked Data on the Web Provide an in-depth understanding of the technical design decisions required when publishing Linked Data Demonstrate the consumption of Linked Data from the Web Look ahead to the future Answer your burning Linked Data publishing questions Tutorial Schedule 09:00 – 09:10 Opening 09:10 – 09:40 Introduction: What and Why 09:40 – 10:30 Publishing Linked Data on the Web: How 10:30 – 11:00 Coffee Break 11:00 – 11:40 Publishing Linked Data on the Web: How 11:40 – 12:00 Consuming Linked Data from the Web 12:00 – 12:10 Conclusions and Outlook 12:10 – 12:30 Discussion and Linked Data Clinic ISWC 2008, Tutorial on How to Publish Linked Data on the Web Introduction: What and Why Christian Bizer Freie Universität Berlin Karlsruhe. October 27, 2008 Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Overview 1. From a Web of Documents to a Web of Data Web APIs, Microformats, and Linked Data 2. Linked Data Deployment on the Web What data is out there? 3. Applications What is being done with the data? Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) The Classic Web Single global information space Web Search 2. URLs as Browsers Engines globally unique IDs retrieval mechanism 3. HTML as shared content format 4. Hyperlinks HTML HTML HTML hyper- links Shortcomings Content is not well structured You can not ask expressive queries A B C You can not process content within applications Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) What do we actually want? Use the Web like a single global database. Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Solution Publish structured data directly on the Web. Different Approaches 2. Web APIs 3. Microformats 4. Linked Data Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Web APIs Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Mashups Mashup Up Positive 2. APIs expose structured data 3. APIs enable new applications Web Web Web Web API API API API Negative 6. Proprietary interfaces 7. Mashups are based only on fixed set of sources A B C D 8. You can not set hyperlinks between data objects Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Web APIs slice the Web into separate data silos Image: Bob Jagensdorf, http://flickr.com/photos/darwinbell/, CC-BY Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Microformats Embed structured data into HTML pages. hCard, hCalender, hReview, XFN, … <div class="vevent"> <span class="summary">bdigital</span> <abbr class="dtstart" title="2008-05-20">May 20</abbr> - <abbr class="dtend" title="2007-05-22">22</abbr> </div> Compatible with the idea of the Web as single information space. Shortcomings Only a fixed set of microformats exist. No way to connect data items. Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Linked Data Use Semantic Web technologies to 2. publish structured data on the Web, 3. set links between data from one data source to data within other data sources. Thing Thing Thing Thing Thing Thing Thing Thing Thing Thing typed typed typed typed links links links links A B C D E Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Linked Data Principles 1. Use URIs as names for things. 2. Use HTTP URIs so that people can look up those names. 3. When someone looks up a URI, provide useful RDF information. 4. Include RDF statements that link to other URIs so that they can discover related things. Tim Berners-Lee 2007 http://www.w3.org/DesignIssues/LinkedData.html Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) The RDF Data Model rdf:type pd:cygri foaf:Person foaf:name Richard Cyganiak foaf:based_near dbpedia:Berlin Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Data objects are identified with HTTP URIs rdf:type pd:cygri foaf:Person foaf:name Richard Cyganiak foaf:based_near dbpedia:Berlin pd:cygri = http://richard.cyganiak.de/foaf.rdf#cygri dbpedia:Berlin = http://dbpedia.org/resource/Berlin Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Dereferencing URIs over the Web rdf:type pd:cygri foaf:Person foaf:name 3.405.259 Richard Cyganiak dp:population foaf:based_near dbpedia:Berlin skos:subject dp:Cities_in_Germany Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Dereferencing URIs over the Web rdf:type pd:cygri foaf:Person foaf:name 3.405.259 Richard Cyganiak dp:population foaf:based_near dbpedia:Berlin skos:subject skos:subject dbpedia:Hamburg dp:Cities_in_Germany dbpedia:Muenchen skos:subject Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) The Disco – Hyperdata Browser Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) 2. Linked Data Deployment on the Web Is this real? Thing Thing Thing Thing Thing Thing Thing Thing Thing Thing typed typed typed typed links links links links A B C D E Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) W3C Linking Open Data Project Community effort to publish existing open license datasets as Linked Data on the Web interlink things between different data sources Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) LOD Datasets on the Web: May 2007 Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) LOD Datasets on the Web: August 2007 Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) LOD Datasets on the Web: February 2008 Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) LOD Datasets on the Web: September 2008 Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Spotlight: Geonames over 8 million geographical locations feature hierarchy Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Spotlight: DBpedia extracts structured data from Wikipedia. covers over 2.2 million concepts from various domains. h t t p : / / e n . w i k i p e d i a . o r g / w i k i / C a l g a r y < h t t p : / / d b p e d i a . o r g / r e s o u r c e / C a l g a r y > d b p e d i a : n a t i v e _ n a m e “ C a l g a r y ” ; d b p e d i a : a l t i t u d e “ 1 0 4 8 ” ; d b p e d i a : p o p u l a t i o n _ c i t y “ 9 8 8 1 9 3 ” ; d b p e d i a : p o p u l a t i o n _ m e t r o “ 1 0 7 9 3 1 0 ” ; m a y o r _ n a m e d b p e d i a : D a v e _ B r o n c o n n i e r ; g o v e r n i n g _ b o d y d b p e d i a : C a l g a r y _ C i t y _ C o u n c i l ; . Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Example RDF Links RDF links from DBpedia to other data sources <http://dbpedia.org/resource/Berlin> owl:sameAs <http://sws.geonames.org/2950159> . <http://dbpedia.org/resource/Tim_Berners-Lee> owl:sameAs <http://www4.wiwiss.fu-berlin.de/dblp/resource/person/100007> . RDF link from a FOAF profile to DBpedia <http://richard.cyganiak.de/foaf.rdf#cygri> foaf:topic_interest <http://dbpedia.org/resource/Semantic_Web> . Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) Organizations publishing Linked Data Universities and Research Institutes Massachusetts Institute of Technology (USA) University of Southampton (UK) Freie Universität Berlin (DE) Companies DERI (IRE) BBC (UK) KMi, Open University (UK) OpenLink (UK) University of London (UK) Zitgist (USA) Universität Hannover (DE) Talis (UK) University of Pennsylvania (USA) Garlik (UK) Universität Leipzig (DE) Mondeca (FR) Universität Karlsruhe (DE) Cyc Foundation Joanneum (AT) (USA) University of Toronto (CA) Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) The Bio2RDF Project Goals 1. Make bioinformatics data available in RDF format on the Web. 2. Promote the linked data vision within the bioinformatics community. 3. Answer questions which were not possible or practical to ask before. Participants Université Laval, Canada Queensland University of Technology, Australia Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) The Bio2RDF Cloud 27 data sources 260 million records 2,7 billion RDF triples Christian Bizer: How to Publish Linked Data on the Web - Introduction (10/27/2008) The Linking Open Drug Data Effort W3C HCLSIG task started October 1st, 2008 Goal: Publish and interlink data sets about drugs and clinical trials.
Recommended publications
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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].
    [Show full text]
  • Using Wordpress to Manage Geocontent and Promote Regional Food Products
    Farm2.0: Using Wordpress to Manage Geocontent and Promote Regional Food Products Amenity Applewhite Farm2.0: Using Wordpress to Manage Geocontent and Promote Regional Food Products Dissertation supervised by Ricardo Quirós PhD Dept. Lenguajes y Sistemas Informaticos Universitat Jaume I, Castellón, Spain Co-supervised by Werner Kuhn, PhD Institute for Geoinformatics Westfälische Wilhelms-Universität, Münster, Germany Miguel Neto, PhD Instituto Superior de Estatística e Gestão da Informação Universidade Nova de Lisboa, Lisbon, Portugal March 2009 Farm2.0: Using Wordpress to Manage Geocontent and Promote Regional Food Products Abstract Recent innovations in geospatial technology have dramatically increased the utility and ubiquity of cartographic interfaces and spatially-referenced content on the web. Capitalizing on these developments, the Farm2.0 system demonstrates an approach to manage user-generated geocontent pertaining to European protected designation of origin (PDO) food products. Wordpress, a popular open-source publishing platform, supplies the framework for a geographic content management system, or GeoCMS, to promote PDO products in the Spanish province of Valencia. The Wordpress platform is modified through a suite of plug-ins and customizations to create an extensible application that could be easily deployed in other regions and administrated cooperatively by distributed regulatory councils. Content, either regional recipes or map locations for vendors and farms, is available for syndication as a GeoRSS feed and aggregated with outside feeds in a dynamic web map. To Dad, Thanks for being 2TUF: MTLI 4 EVA. Acknowledgements Without encouragement from Dr. Emilio Camahort, I never would have had the confidence to ensure my thesis handled the topics I was most passionate about studying - sustainable agriculture and web mapping.
    [Show full text]
  • Microformats, Metadata
    Microformats, Metadata April 29, 2013 1 Introduction 1.1 Content • What are microformats? • Why to use microformats? • How to replace microformats? • Advantages of microformats to own markup. • Disadvantages of microformats.. • Common used microformats • Microformats design patterns. • Resources on microformats. 1.2 What are microformats? • The way how to add simple markup into human readable information to allow computer processing. { acquiring data from documents { indexing { searching { storing { cross-referencing • Microformats are elements of a semantic markup using a plain old semantic (X)HTML (POSH) { Why has been the HTML designed at CERN (Conseil Europ´eenpour la Recherche Nucl´eaire(http://dg-rpc.web.cern.ch/dg-rpc/Scale. html)) v in the year 1991? 1 1.3 Example of Microformat <ol class='xoxo'> <li>Prvn´ıbod <ol> <li>Podbod a</li> <li>Podbod b</li> </ol> </li> <li>Druh´ybod <ol compact="compact"> <li>Podbod c</li> <li>Podbod d</li> </ol> </li> </ol> 1.4 Why to use microformats? Microformats combines some trends: • next logical step in web-design and information architecture progress • the manner how can people and organisations publish semantically rich content without dependency on centralized services • "agreement", that the traditional meta data either failed or their adoption took too long, so there has been a need of a different solution. { microformats use the meta data. :-) • Use of (X)HTML for data. 1.5 How can be microformats replaced? (1) • Including data in own formating in a different namespace { XHTML + Voice Profile (http://www.voicexml.org/specs/multimodal/ x+v/12/) { (X)HTML + SVG { XLink { XHTML+RDF { ... 1.6 How can be microformats replaced? (2) • Advantages: { easy visualisation (direct support in browsers, using CSS for exam- ple), { independent on centralized services.
    [Show full text]
  • Collective Collaborative Tagging System
    Collective Collaborative Tagging System Jong Y. Choi, Joshua Rosen, Siddharth Maini, Marlon E. Pierce, and Geoffrey C. Fox Community Grids Laboratory Indiana University, Bloomington, IN 47404, USA {jychoi, jjrosen, smaini, marpierc, gcf}@cs.indiana.edu Abstract—Currently in the Internet many collaborative tagging sites exist, but there is the need for a service to integrate the data from the multiple sites to form a large and unified set of collaborative data from which users can have more accurate and richer information than from a single site. In our paper, we have proposed a collective collaborative tagging (CCT) service architecture in which both service providers and individual users can merge folksonomy data (in the form of keyword tags) stored in different sources to build a larger, unified repository. We have also examined a range of algorithms that can be applied to different problems in folksonomy analysis and information discovery. These algorithms address several common problems for online systems: searching, getting recommendations, finding communities of similar users, and finding interesting new information by trends. Our contributions are to a) systematically examine the available public algorithms’ application to tag-based folksonomies, and b) to propose a service architecture that can provide these algorithms as online capabilities. I. INTRODUCTION Fig. 1. The MSI-CIEC Social Networking Web Portal uses tagging In recent years, the number of virtual on-line communities annotations to manage URLs to online program announcements and funding has grown rapidly, and the quantity of information and knowl- solicitations. edge produced in those on-line communities is immense. The interesting aspect of this trend is that the knowledge in the Internet is not only produced by a small number of experts, but ging systems can be easily applied to develop a community- also they are produced by the normal Internet users.
    [Show full text]
  • An Entity Retrieval Model
    Searching Web Data: an Entity Retrieval Model Renaud Delbru Supervisor: Dr. Giovanni Tummarello Internal Examiner: Prof. Stefan Decker External Examiner: Dr. J´er^omeEuzenat External Examiner: Dr. Fabrizio Silvestri Dissertation submitted in pursuance of the degree of Doctor of Philosophy Digital Enterprise Research Institute Galway National University of Ireland, Galway / Ollscoil na hEireann,´ Gaillimh December 14, 2011 Abstract More and more (semi) structured information is becoming available on the Web in the form of documents embedding metadata (e.g., RDF, RDFa, Microformats and others). There are already hundreds of millions of such documents accessible and their number is growing rapidly. This calls for large scale systems providing effective means of searching and retrieving this semi-structured information with the ultimate goal of making it exploitable by humans and machines alike. This dissertation examines the shift from the traditional web doc- ument model to a web data object (entity) model and studies the challenges and issues faced in implementing a scalable and high per- formance system for searching semi-structured data objects on a large heterogeneous and decentralised infrastructure. Towards this goal, we define an entity retrieval model, develop novel methodologies for sup- porting this model, and design a web-scale retrieval system around this model. In particular, this dissertation focuses on the following four main aspects of the system: reasoning, ranking, indexing and querying. We introduce a distributed reasoning framework which is tolerant against low data quality. We present a link analysis approach for computing the popularity score of data objects among decentralised data sources. We propose an indexing methodology for semi-structured data which offers a good compromise between query expressiveness, query processing and index maintenance compared to other approaches.
    [Show full text]
  • Entity-Centric Social Profile Integration
    Entity-centric Social Profile Integration Paolo Bouquet and Stefano Bortoli Department of Information Engineering and Computer Science University of Trento Via Sommarive, 14 38123 Povo di Trento, Italy {bouquet,bortoli}@disi.unitn.it Abstract. Web-based social networking applications gained consider- able popularity in the recent years. However, most social networking plat- forms suffer from the limits of the centralized paradigm they adopted, limiting the mobility of their users, and their chances to benefit from diverse services. In this paper we want to illustrate how these limita- tions can be overcome by enabling a global naming service for the 'social semantic web'. To do so, we will describe a web tool, called foaf-O- matic, for creating FOAF profiles which is enabled to interact with a global naming system called Entity Name System (ENS). Through a well-known mashup system called Sigma, we will show how the use of globally shared IDs in the definition of user profiles enables frictionless integrations mechanism supporting web-based application interoperabil- ity in dealing with users information. Key words: FOAF, Social Network, OKKAM, Entity Naming System, Sigma Entity-centric Data Integration 1 Introduction A social network is a structure composed by individuals or organizations, that are connected by one or more relationships, such as interests, professional com- munity, values, ideas, friendship and so on [10]. Recently, the offer of web-based social network services aiming at building online communities of people willing to share their interests or activities increased impressively. The fast growth in the number of social network services users created a brand new business mar- ket that led social network service providers to the definition policies aiming at reducing the \mobility" of users through the several social network service ap- plications.
    [Show full text]
  • The Web 2.0 Demystified – Six Theses on a Misinterpreted Concept
    Chapter 4 – Applications and Impacts The Web 2.0 Demystified – Six Theses on a Misinterpreted Concept H.D.Hofmann1 and M.H.Knahl2 1University of Cooperative Education, Mannheim, Germany 2Centre for Information Security and Network Research, University of Plymouth, United Kingdom e-mail: [email protected], [email protected] Abstract The Web 2.0 was said to bring real innovation, new concepts, and new applications to the Web. The role of a user is upgraded by changing his passive role of information consumer to the role of somebody producing and consuming information at the same time ("prosumer"). In our paper, we discuss the major aspects of the concept Web 2.0 and draw conclusions from our findings by means of theses. It is argued that technologies used with Web 2.0 do not represent an innovative factor. We discuss technical aspects such as technologies and programming interfaces as well as usability aspects and business aspects of Web 2.0 applications and give an outlook to future developments and new concepts used on the Web. Based on the derived theses it is proposed that the Web 3.0 will bring new concepts and applications to the web rather than the Web 2.0. Keywords Web 2.0, Web 3.0, Internet Applications, AJAX 1. Web 2.0 - old wine in new skins? The past 10-15 have seen a rapid development and adoption of Internet services. Business managers have been enthused but also alarmed by a rapidly proliferating series of developments to the internet and web based services that alter consumer behaviour and have the potential to transform business models (Cassidy, 2002; Tapscott and Williams, 2007).
    [Show full text]
  • Work with Knowledge on the Internet – Local Search 129
    WorkWork with with Knowledge knowledge on on internet the Internet – local search – Local Search Antonín Pavlíček, Josef Muknšnábl1 Anton´ınPavl´ıˇcek, Josef Muknˇsn´abl 1 both of Department of System Analysis, Faculty of Informatics and Statistics, University of Economics, Prague, Czech Republic Department of System Analysis, Faculty of Informatics and Statistics, {Antonin.Pavlicek, muknsj}@vse.cz University of Economics, Prague, W. Churchill sq. 4, 130 67, Prague, Czech Republic {antonin.pavlicek, muknsj}@vse.cz Abstract. Authors are looking within their research grant new original web local search algorithm respecting specifics of Czech national environment. We would like to initiate further debate on topic. We are addressing three subtasks that include: identification of user geographical location, identification of web locality and final algorithm design working with these information altogether. 1 Preamble A staggering pace of internet growth together with steadily increasing broadband penetration availability and general information literacy lead to more frequent internet usage. Such trend is not visible only in US but worldwide too - number of internet users and overall usage numbers constantly grow[1]. Although capabilities of engines and catalogs have improved significantly within last several years (especially after Google ranking algorithm arrival) they are still not perfect in terms of accuracy and relevancy. Typical areas where there is a potential for improvement are e.g. personal- ized and local search (in terms of geography and regions). Local search is a matter of an internal research grant that has been launched these days at University of Econom- ics, Prague by us. A focus on that topic is not rare, especially in global scale, as sev- eral patents related to local search have already been filed[2] in US.
    [Show full text]