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A Data-Driven Framework for Assisting Geo-Ontology Engineering Using a Discrepancy Index
University of California Santa Barbara A Data-Driven Framework for Assisting Geo-Ontology Engineering Using a Discrepancy Index A Thesis submitted in partial satisfaction of the requirements for the degree Master of Arts in Geography by Bo Yan Committee in charge: Professor Krzysztof Janowicz, Chair Professor Werner Kuhn Professor Emerita Helen Couclelis June 2016 The Thesis of Bo Yan is approved. Professor Werner Kuhn Professor Emerita Helen Couclelis Professor Krzysztof Janowicz, Committee Chair May 2016 A Data-Driven Framework for Assisting Geo-Ontology Engineering Using a Discrepancy Index Copyright c 2016 by Bo Yan iii Acknowledgements I would like to thank the members of my committee for their guidance and patience in the face of obstacles over the course of my research. I would like to thank my advisor, Krzysztof Janowicz, for his invaluable input on my work. Without his help and encour- agement, I would not have been able to find the light at the end of the tunnel during the last stage of the work. Because he provided insight that helped me think out of the box. There is no better advisor. I would like to thank Yingjie Hu who has offered me numer- ous feedback, suggestions and inspirations on my thesis topic. I would like to thank all my other intelligent colleagues in the STKO lab and the Geography Department { those who have moved on and started anew, those who are still in the quagmire, and those who have just begun { for their support and friendship. Last, but most importantly, I would like to thank my parents for their unconditional love. -
From the Semantic Web to Social Machines
ARTICLE IN PRESS ARTINT:2455 JID:ARTINT AID:2455 /REV [m3G; v 1.23; Prn:25/11/2009; 12:36] P.1 (1-6) Artificial Intelligence ••• (••••) •••–••• Contents lists available at ScienceDirect Artificial Intelligence www.elsevier.com/locate/artint From the Semantic Web to social machines: A research challenge for AI on the World Wide Web ∗ Jim Hendler a, , Tim Berners-Lee b a Tetherless World Constellation, RPI, United States b Computer Science and AI Laboratory, MIT, United States article info abstract Article history: The advent of social computing on the Web has led to a new generation of Web Received 24 September 2009 applications that are powerful and world-changing. However, we argue that we are just Received in revised form 1 October 2009 at the beginning of this age of “social machines” and that their continued evolution and Accepted 1 October 2009 growth requires the cooperation of Web and AI researchers. In this paper, we show how Available online xxxx the growing Semantic Web provides necessary support for these technologies, outline the challenges we see in bringing the technology to the next level, and propose some starting places for the research. © 2009 Elsevier B.V. All rights reserved. Much has been written about the profound impact that the World Wide Web has had on society. Yet it is primarily in the past few years, as more interactive “read/write” technologies (e.g. Wikis, blogs and photo/video sharing) and social network- ing sites have proliferated, that the truly profound nature of this change is being felt. From the very beginning, however, the Web was designed to create a network of humans changing society empowered using this shared infrastructure. -
QUERY-DRIVEN TEXT ANALYTICS for KNOWLEDGE EXTRACTION, RESOLUTION, and INFERENCE by CHRISTAN EARL GRANT a DISSERTATION PRESENTED
QUERY-DRIVEN TEXT ANALYTICS FOR KNOWLEDGE EXTRACTION, RESOLUTION, AND INFERENCE By CHRISTAN EARL GRANT A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 2015 c 2015 Christan Earl Grant To Jesus my Savior, Vanisia my wife, my daughter Caliah, soon to be born son and my parents and siblings, whom I strive to impress. Also, to all my brothers and sisters battling injustice while I battled bugs and deadlines. ACKNOWLEDGMENTS I had an opportunity to see my dad, a software engineer from Jamaica work extremely hard to get a master's degree and work as a software engineer. I even had the privilege of sitting in some of his classes as he taught at a local university. Watching my dad work towards intellectual endeavors made me believe that anything is possible. I am extremely privileged to have someone I could look up to as an example of being a man, father, and scholar. I had my first taste of research when Dr. Joachim Hammer went out of his way to find a task for me on one of his research projects because I was interested in attending graduate school. After working with the team for a few weeks he was willing to give me increased responsibility | he let me attend the 2006 SIGMOD Conference in Chicago. It was at this that my eyes were opened to the world of database research. As an early graduate student Dr. Joseph Wilson exercised superhuman patience with me as I learned to grasp the fundamentals of paper writing. -
Usage-Dependent Maintenance of Structured Web Data Sets
Usage-dependent maintenance of structured Web data sets Dissertation zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat) am Institut f¨urInformatik des Fachbereichs Mathematik und Informatik der Freien Unviersit¨atBerlin vorgelegt von Dipl. Inform. Markus Luczak-R¨osch Berlin, August 2013 Referent: Prof. Dr.-Ing. Robert Tolksdorf (Freie Universit¨atBerlin) Erste Korreferentin: Natalya F. Noy, PhD (Stanford University) Zweite Korreferentin: Dr. rer. nat. Elena Simperl (University of Southampton) Tag der Disputation: 13.01.2014 To Johanna. To Levi, Yael and Mili. Vielen Dank, dass ich durch Euch eine Lebenseinstellung lernen durfte, \. die bereit ist, auf kritische Argumente zu h¨oren und von der Erfahrung zu lernen. Es ist im Grunde eine Einstellung, die zugibt, daß ich mich irren kann, daß Du Recht haben kannst und daß wir zusammen vielleicht der Wahrheit auf die Spur kommen." { Karl Popper Abstract The Web of Data is the current shape of the Semantic Web that gained momentum outside of the research community and becomes publicly visible. It is a matter of fact that the Web of Data does not fully exploit the primarily intended technology stack. Instead, the so called Linked Data design issues [BL06], which are the basis for the Web of Data, rely on the much more lightweight technologies. Openly avail- able structured Web data sets are at the beginning of being used in real-world applications. The Linked Data research community investigates the overall goal to approach the Web-scale data integration problem in a way that distributes efforts between three contributing stakeholders on the Web of Data { the data publishers, the data consumers, and third parties. -
Linked Data Overview and Usage in Social Networks
Linked Data Overview and Usage in Social Networks Gustavo G. Valdez Technische Universitat Berlin Email: project [email protected] Abstract—This paper intends to introduce the principles of Webpages, also possibly reference any Object or Concept (or Linked Data, show some possible uses in Social Networks, even relationships of concepts/objects). advantages and disadvantages of using it, aswell as presenting The second one combines the unique identification of the an example application of Linked Data to the field of social networks. first with a well known retrieval mechanism (HTTP), enabling this URIs to be looked up via the HTTP protocol. I. INTRODUCTION The third principle tackles the problem of using the same The web is a very good source of human-readable informa- document standards, in order to have scalability and interop- tion that has improved our daily life in several areas. By using erability. This is done by having a standard, the Resource De- rich text and hyperlinks, it made our access to information scription Framewok (RDF), which will be explained in section something more active rather than passive. But the web was III-A. This standards are very useful to provide resources that made for humans and not for machines, even though today are machine-readable and are identified by a URI. a lot of the acesses to the web are made by machines. This The fourth principle basically advocates that hyperlinks has lead to the search for adding structure, so that data is should be used not only to link webpages, but also to link more machine-readable. -
L Dataspaces Make Data Ntegration Obsolete?
DBKDA 2011, January 23-28, 2011 – St. Maarten, The Netherlands Antilles DBKDA 2011 Panel Discussion: Will Dataspaces Make Data Integration Obsolete? Moderator: Fritz Laux, Reutlingen Univ., Germany Panelists: Kazuko Takahashi, Kwansei Gakuin Univ., Japan Lena Strömbäck, Linköping Univ., Sweden Nipun Agarwal, Oracle Corp., USA Christopher Ireland, The Open Univ., UK Fritz Laux, Reutlingen Univ., Germany DBKDA 2011, January 23-28, 2011 – St. Maarten, The Netherlands Antilles The Dataspace Idea Space of Data Management Scalable Functionality and Costs far Web Search Functionality virtual Organization pay-as-you-go, Enterprise Dataspaces Admin. Portal Schema Proximity Federated first, DBMS DBMS scient. Desktop Repository Search DBMS schemaless, near unstructured high Semantic Integration low Time and Cost adopted from [Franklin, Halvey, Maier, 2005] DBKDA 2011, January 23-28, 2011 – St. Maarten, The Netherlands Antilles Dataspaces (DS) [Franklin, Halevy, Maier, 2005] is a new abstraction for Information Management ● DS are [paraphrasing and commenting Franklin, 2009] – Inclusive ● Deal with all the data of interest, in whatever form => but semantics matters ● We need access to the metadata! ● derive schema from instances? ● Discovering new data sources => The Münchhausen bootstrap problem? Theodor Hosemann (1807-1875) DBKDA 2011, January 23-28, 2011 – St. Maarten, The Netherlands Antilles Dataspaces (DS) [Franklin, Halevy, Maier, 2005] is a new abstraction for Information Management ● DS are [paraphrasing and commenting Franklin, 2009] – Co-existence -
Exploring Digital Preservation Strategies Using DLT in the Context Of
Forget-me-block Exploring digital preservation strategies using Distributed Ledger Technology in the context of personal information management By JAMES DAVID HACKMAN Department of Computer Science UNIVERSITY OF BRISTOL A dissertation submitted to the University of Bristol in accordance with the requirements of the degree of Master of Science by advanced study in Computer Science in the Faculty of Engineering. 15TH SEPTEMBER 2020 arXiv:2011.05759v1 [cs.CY] 2 Nov 2020 EXECUTIVE SUMMARY eceived wisdom portrays digital records as guaranteeing perpetuity; as the New York Times wrote a decade ago: “the web means the end of forgetting” [1]. The Rreality however is that digital records suffer similar risks of access loss as the analogue versions they replaced - but through the mechanisms of software, hardware and organisational change. The first two of these mechanisms are straightforward. Software change relates to how data is encoded - for instance later versions of Microsoft Word often cannot access documents written with earlier versions [2]. Likewise hardware formats obsolesce; even popular technologies such as the floppy disk reach a point where accessing data on these formats becomes increasingly difficult [3]. The third mechanism is however more abstract as it relates to societal structures, and ironically is often generated as a by-product of attempts to escape the first two risks. In our efforts to rid ourselves of hardware and software change these risks are often delegated to specialised external parties. Common use cases are those of conveying information to a future self, e.g. calendars, diaries, tasks, etc. These applications, categorised as Personal Information Management (PIM) [4, p. -
Data in Context: Aiding News Consumers While Taming Dataspaces
DBCrowd 2013: First VLDB Workshop on Databases and Crowdsourcing Data In Context: Aiding News Consumers while Taming Dataspaces Adam Marcus∗ , Eugene Wu, Sam Madden MIT CSAIL marcua, sirrice, madden @csail.mit.edu { } ...were it left to me to decide whether we should have a gov- reasons: 1) A lack of space or time, as is common in minute- ernment without newspapers, or newspapers without a gov- by-minute reporting 2) The article is a segment in a multi- ernment, I should not hesitate a moment to prefer the latter. part series, 3) The reader doesn’t have the assumed back- — Thomas Jefferson ground knowledge, 4) A newsroom is resources-limited and can not do additional analysis in-house, 5) The writer’s ABSTRACT agenda is better served through the lack of context, or 6) The context is not materialized in a convenient place (e.g., We present MuckRaker, a tool that provides news consumers there is no readily accessible table of historical earnings). with datasets and visualizations that contextualize facts and In some cases, the missing data is often accessible (e.g, on figures in the articles they read. MuckRaker takes advantage Wikipedia), and with enough effort, an enterprising reader of data integration techniques to identify matching datasets, can usually analyze or visualize it themselves. Ideally, all and makes use of data and schema extraction algorithms to news consumers would have tools to simplify this task. identify data points of interest in articles. It presents the Many database research results could aid readers, par- output of these algorithms to users requesting additional ticularly those related to dataspace management. -
From Web 2.0 to Web
Web 2.0 and Web 3.0 and its Applications in Library Services Dr. Jagdish Arora Advisor, NBA Email: [email protected] Evolution of library technology (adapted from Noh (2012) Library 2.0 and Library 3.0 • Web 1.0 (Tims Berner Lee) • Semantic Web - 2001 (Tims Berner Lee) • Web 2.0 (Tim O'Reilly, 2005) • Web 3.0 John Markoff, New York Times, 2006) • Web 4.0 (Distant Dream?) • Library 2.0 coined by Michael Casey in 2006 • Library 3.0 • Library 4.0 This talk is addressed to: • Librarian 2.0 • Librarian 3.0 1996 (1 L W; 50 L U) 2006 (10 Cr W; 50 L) 2016 (100 Cr W; 250 Cr U) Web 1.0 to Web 4.0: Process of Evolution Subtitle comes here Web 1.0: Read Web 2.0: Read & Write Web 3.0: Read, Write & Web 4.0: Read, Write, /Awareness / Static (2006) Execute (2016) Execute & Concur (1996) • Web Connecting • Web Connecting • Intelligent interaction • Unidirectional / People / Human Knowledge & between machines and Passive transmission Centric Participative Intelligence users • Limited Interaction Web • Semantic Web: Web of • Internet of Things (IoT) with Users • Dynamic, Interactive Data; Virtual World • Human are upgraded with • No Content and Collaborative • Social Computing technology extension Creation Creation of Information Environment (Always On) • Social Networking • Multi-directional Sites (SNS) • Semantic connections • Bi-directional • Data filtered • AI Source: .... 6 Web 2.0 Web 2.0 is About Cultivating Communities . Shared Picture Shared Video Shared News Shared Shared Bookmarks Everything • SmugMug • YouTube •Digg • Photobucket •Twitter •MySpace • Vimeo •Redddit • Google Photos • Dailymotion •Pinterest •Facebook •Delicious • Snapfish • Twitch •StumbleUpon •Twitter •Grow News • Flickr • LiveLeak •Dribble •Friendster •Newsvine • ImageShack • Break •Orkut • Metacafe •Slashdot • Fotolog •Pocket •Snapchat Its About being in the User’s Space . -
Selected Papers from the Conference and School on Records, Archives and Memory
-------------------------------- Records, Archives and Memory Selected Papers from the Conference and School on Records, Archives and Memory Studies, University of Zadar, Croatia, May 2013 -------------------------------- Sveučilište u Zadru University of Zadar www.unizd.hr www.unizd.hr Za nakladnika For the Editor prof. dr. sc. Ante Uglešić Ante Uglešić, Ph.D., Professor Predsjednik Povjerenstva za izdavačku President of the Publishing djelatnost Sveučilišta u Zadru Committee of the University of Zadar prof. dr. sc. Josip Faričić Josip Faričić, Ph.D., Professor Odjel za informacijske znanosti Department of Information Sciences Studije iz knjižnične Studies in Library and i informacijske znanosti Information Sciences Knjiga 3 Volume 3 Urednice Editors prof. dr. sc. Mirna Willer Mirna Willer, Ph.D., Professor prof. dr. sc. Anne J. Gilliland Anne J. Gilliland, Ph.D., Professor doc. dr. sc. Marijana Tomić Marijana Tomić, Ph.D., Assistant Professor Urednički odbor Editorial Board prof. dr. sc. Tatjana Aparac-Jelušić Tatjana Aparac-Jelušić, Ph.D., Professor prof. dr. sc. Srećko Jelušić Srećko Jelušić, Ph.D., Professor doc. dr. sc. Franjo Pehar Franjo Pehar, Ph.D., Assistant Professor izv. prof. dr. sc. Ivanka Stričević Ivanka Stričević, Ph.D., Associate Professor doc. dr. sc. Nives Tomašević Nives Tomašević, Ph.D., Assistant Professor doc. dr. sc. Marijana Tomić Marijana Tomić, Ph.D., Assistant Professor prof. dr. sc. Mirna Willer Mirna Willer, Ph.D., Professor Glavni urednik Editor-in-Chief prof. dr. sc. Tatjana Aparac-Jelušić Tatjana Aparac-Jelušić, Ph.D., Professor Poslijediplomski studij “Društvo znanja Postgraduate Programme “Knowledge Society i prijenos informacija” and Information Transfer” Voditeljica doktorskog studija Director of the Postgraduate Programme prof. dr. sc. -
Principles of Dataspaces
Principles of Dataspaces Seminar From Databases to Dataspaces Summer Term 2007 Monika Podolecheva University of Konstanz Department of Computer and Information Science Tutor: Prof. M. Scholl, Alexander Holupirek Abstract. This seminar paper introduces a concept in the area of data management called dataspaces. The goal of this concept is to offer a way to handle multiple data sources with different models as answer to the rapidly increasing demand of working with such a data. Management challenges like providing search/query capability, integrity constraints, naming conventions, recovery, and access control arise permanently, in organizations, government agencies, libraries, on ones PC or other per- sonal devices. Often there is a problem with locating the data and discov- ering the relationships between them. Managing data in a principal way will offer significant benefits to the organizations. The paper presents an abstraction for a dataspace management system as supposed by [1] and [2]. Specific technical challenges in realizing it are outlined and some applications are described. 1 Introduction and Motivation In many real life situations the users are often faced with multiple data sources and the arising management challenges across these heterogeneous collections. General problem is how to locate all the relevant data and how to discover rela- tionships between them. Having the data, they cannot be fitted into a conven- tional relational DBMS and uniformly managed. Instead, we have different data models, providing different search and query capability. The idea of dataspace is to provide base functionality over all data sources. On the administration side, these challenges include integrity constraints and naming conventions across a collection, providing availability, recovery and access control. -
The Web of Linked Data
WebDB 2010 June 6th, 2010, Indianapolis, USA The Web of Linked Data A global public dataspace on the Web Christian Bizer Freie Universität Berlin Christian Bizer: The Web of Linked Data (6/6/2010) Outline 1. Foundations of Dataspaces and Linked Data Where do they overlap? 2. The Web of Linked Data What data is out there? 3. Linked Data Applications What i s b ei ng d one with the da ta? 4. Remarks on Identity Self-descriptive Data Pay-as-you-go Integration Christian Bizer: The Web of Linked Data (6/6/2010) The Dataspace Vision Alternative to classic data integration systems in order to cope with growing number of data sources. PtifdtProperties of dataspaces may contain any kind of data (structured, semi-structured, unstructured) require no upfront investment into a global schema provide for data-coexistence give best-effort answers to queries rely on pay-as-you-go data integration Franklin, M ., Halevy , A ., and Maier , D .: From Databases to Dataspaces A new Abstraction for Information Management, SIGMOD Rec. 2005. Christian Bizer: The Web of Linked Data (6/6/2010) Dataspace Architecture Source: Franklin et al: From Databases to Dataspaces,Christian Bizer: The SIGMOD Web of Linked Rec. Data (6/6/2010)2005. Linked Data Principles Set of best practices for publishing structured data on the Web in accordance with the general architecture of the Web. 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.