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UNIVERSITY of CALGARY Concept-Learning Supported
UNIVERSITY OF CALGARY Concept-Learning Supported Semantic Search using Multi-Agent System by Cheng Zhong A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING CALGARY, ALBERTA April, 2009 © Cheng Zhong 2009 ISBN: 978-0-494-51171-8 UNIVERSITY OF CALGARY FACULTY OF GRADUATE STUDIES The undersigned certify that they have read, and recommend to the Faculty of Graduate Studies for acceptance, a thesis entitled "Concept-Learning Supported Semantic Search using Multi-Agent System" submitted by Cheng Zhong in partial fulfilment of the requirements of the degree of Master of Science. Supervisor, Dr. B. H. Far Department of Electrical and Computer Engineering Dr. M. Moussavi Department of Electrical and Computer Engineering Dr. D. Krishnamurthy Department of Electrical and Computer Engineering Dr. Y. Hu Department of Electrical and Computer Engineering Dr. M. Ghaderi Department of Computer Science Date ii Abstract Currently, the mainstream of semantic search is based on both centralized networking that could be barrier to access trillions of dynamically generated bytes on individual websites, and group commitment to a common ontology that is often too strong or unrealistic. In real world, it is preferred to enable stakeholders of knowledge to exchange information freely while they keep their own individual ontology. While this assumption makes stakeholders represent their knowledge more independently and gives them more flexibility, it brings complexity to the communication among them. To solve this communication complexity, in this thesis, we present (1) a method for semantic search supported by ontological concept learning, and (2) a prototype multi-agent system that can handle semantic search and encapsulate the complexity of such process from the users. -
Bestandsstrategieën Nationaal Archief
Bestandsstrategieën Nationaal Archief VERSIE 1.0 Datum 15-11-2016 Status Definitief Definitief | Bestandsstrategieën | 16-11-2016 Colofon Projectnaam Ontwikkelen duurzaamheidsstrategieën Projectleider(s) Remco van Veenendaal Contactpersoon R. van Veenendaal T +31 6 29 45 19 51 F +31-70-331 5477 [email protected] Postbus 90520 | 2509 LM Den Haag Auteurs R. van Veenendaal, Pepijn Lucker Versie 1.0 Bijlage(n) Pagina 2 van 46 Definitief | Bestandsstrategieën | 16-11-2016 Inhoud Colofon—2 1 Inleiding—6 2 Doel en resultaat—7 2.1 Doel—7 2.2 Doelgroep—7 2.3 Resultaat—7 3 Bestandsstrategieën—7 3.1 Algemene uitgangspunten—7 3.2 Opbouw hoofdstukken—10 4 TIFF—11 4.1 Algemene informatie—11 4.2 Risico-inventarisatie—12 4.2.1 Extensies—12 4.2.2 Specifieke kleurruimtes—12 4.2.3 Softwareondersteuning multipage-TIFF-bestanden—12 4.2.4 Beperkte detectie van corruptie of beschadiging—13 4.2.5 Ter info: black pixel detector—13 4.2.6 LZW-compressie—13 4.3 Evaluatie—13 4.4 Ondersteuning in het e-Depot—13 4.4.1 Formaten—13 4.4.2 Migration Pathways—14 4.4.3 Software en Tools—14 4.5 Alternatieven—14 4.6 Voorgestelde strategie—16 5 E-mail—17 5.1 Algemene informatie—17 5.2 Risico-inventarisatie—18 5.2.1 Opslag—18 5.3 Evaluatie—19 5.4 Alternatieven—19 5.5 Ondersteuning in het e-Depot—19 5.5.1 Herkenning van Outlook-, Gmail- en Notes-mailboxen—19 5.5.2 Formaten—19 5.5.3 Migration Pathways—20 5.5.4 Software en Tools—20 5.6 Voorgestelde strategie—20 6 Portable Document Format (PDF)—21 7 Portable Document Format Archivable (PDF/A)—23 7.1 Algemene -
Deep Semantics in the Geosciences: Semantic Building Blocks for a Complete Geoscience Infrastructure
Deep Semantics in the Geosciences: semantic building blocks for a complete geoscience infrastructure Brandon Whitehead,1,2 Mark Gahegan1 1Centre for eResearch 2 Institute of Earth Science and Engineering The University of Auckland, Private Bag 92019, Auckland, New Zealand {b.whitehead, m.gahegan}@auckland.ac.nz Abstract. In the geosciences, the semantic models, or ontologies, available are typically narrowly focused structures fit for single purpose use. In this paper we discuss why this might be, with the conclusion that it is not sufficient to use semantics simply to provide categorical labels for instances—because of the interpretive and uncertain nature of geoscience, researchers need to understand how a conclusion has been reached in order to have any confidence in adopting it. Thus ontologies must address the epistemological questions of how (and possibly why) something is ‘known’. We provide a longer justification for this argument, make a case for capturing and representing these deep semantics, provide examples in specific geoscience domains and briefly touch on a visualisation program called Alfred that we have developed to allow researchers to explore the different facets of ontology that can support them applying value judgements to the interpretation of geological entities. Keywords: geoscience, deep semantics, ontology-based information retrieval 1 Introduction From deep drilling programs and large-scale seismic surveys to satellite imagery and field excursions, geoscience observations have traditionally been expensive to capture. As such, many disciplines related to the geosciences have relied heavily on inferential methods, probability, and—most importantly—individual experience to help construct a continuous (or, more complete) description of what lies between two data values [1]. -
Open Society Archives
OSA book OSA / Publications OPEN SOCIETY ARCHIVES Open Society Archives Edited by Leszek Pudlowski and Iván Székely Published by the Open Society Archives at Central European University Budapest 1999 Copyright ©1999 by the Open Society Archives at Central European University, Budapest English Text Editor: Andy Haupert ISBN 963 85230 5 0 Design by Tamás Harsányi Printed by Gábor Rózsa Printing House, Budapest on Niveus acid-free offset printing paper of 90g/m2 produced by Neusiedler Szolnok Paper Mill, Hungary. This paper meets the requirements of ISO9706 standard. TABLE OF CONTENTS CHAPTER I. The coordinates of the Archives The enemy-archives (István Rév) 14 Archival parasailing (Trudy Huskamp Peterson) 20 Access to archives: a political issue (Charles Kecskeméti) 24 The Open Society Archives: a brief history (András Mink) 30 CHAPTER II. The holdings Introduction 38 http://www.osaarchivum.org/files/1999/osabook/BookText.htm[31-Jul-2009 08:07:32] OSA book COMMUNISM AND COLD WAR 39 Records of the Research Institute of Radio Free Europe/Radio Liberty 39 • The Archives in Munich (András Mink) 39 • Archival arrangement and structure of the records of Radio Free Europe/Radio Liberty Research Institute (Leszek Pud½owski) 46 • The Information Resources Department 49 The East European Archives 49 Records of the Bulgarian Unit (Olga Zaslavskaya) 49 Records of the Czechoslovak Unit (Pavol Salamon) 51 Records of the Hungarian Unit (Csaba Szilágyi) 55 Records of the Polish Unit (Leszek Pud½owski) 58 Records of the Polish Underground Publications Unit -
Semantics Developer's Guide
MarkLogic Server Semantic Graph Developer’s Guide 2 MarkLogic 10 May, 2019 Last Revised: 10.0-8, October, 2021 Copyright © 2021 MarkLogic Corporation. All rights reserved. MarkLogic Server MarkLogic 10—May, 2019 Semantic Graph Developer’s Guide—Page 2 MarkLogic Server Table of Contents Table of Contents Semantic Graph Developer’s Guide 1.0 Introduction to Semantic Graphs in MarkLogic ..........................................11 1.1 Terminology ..........................................................................................................12 1.2 Linked Open Data .................................................................................................13 1.3 RDF Implementation in MarkLogic .....................................................................14 1.3.1 Using RDF in MarkLogic .........................................................................15 1.3.1.1 Storing RDF Triples in MarkLogic ...........................................17 1.3.1.2 Querying Triples .......................................................................18 1.3.2 RDF Data Model .......................................................................................20 1.3.3 Blank Node Identifiers ..............................................................................21 1.3.4 RDF Datatypes ..........................................................................................21 1.3.5 IRIs and Prefixes .......................................................................................22 1.3.5.1 IRIs ............................................................................................22 -
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. -
Mathematical Model of Semantic Look-An Efficient Context Driven Search
Mathematical Model of Semantic Look - An Efficient Context Driven Search Engine Leena Giri Ga, Srikanth P La, Manjula S Ha, K R Venugopal a, L M Patnaikb aDepartment of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore 560 001 India, Contact: [email protected]. bHonorary Professor, IISc., Bangalore. The World Wide Web (WWW) is a huge conservatory of web pages. Search Engines are key applications that fetch web pages for the user query. In the current generation web architecture, search engines treat keywords provided by the user as isolated keywords without considering the context of the user query. This results in a lot of unrelated pages or links being displayed to the user. Semantic Web is based on the current web with a revised framework to display a more precise result set as response to a user query. The current web pages need to be annotated by finding relevant meta data to be added to each of them, so that they become useful to Semantic Web search engines. Semantic Look explores the context of user query by processing the Semantic information recorded in the web pages. It is compared with an existing algorithm called OntoLook and it is shown that Semantic Look is a better optimized search engine by being more than twice as fast as OntoLook. Keywords : Ontology, RDF, Semantic Web. 1. INTRODUCTION the web page playing multiple roles. Both Ontolo- gies and RDF are embedded in web pages forming Semantic Web (Web 3.0) is the proliferation of the semantic annotation of a web page. -
Introduction to Ontologies Part I
EMMC The European Materials Modelling Council Introduction to Ontologies Part I Alexandra Simperler On-line 29.4.2019 https://emmc.info/ EMMC The EMMO round table Emanuele Ghedini (University of Bologna) Gerhard Goldbeck Adham Hashibon (Goldbeck Consulting) (Fraunhofer Institut) Georg J. Schmitz Jesper Friis (Access) (SINTEF) EMMC Outline • Taxonomy vs Ontology • The value of ontologies • Semantic Technologies • Representation of Ontologies What’s the difference between an EMMC ontology and a taxonomy? TAXONOMY ONTOLOGY • Like a tree with branches • Like a spiderweb • Parent – Child relation, • Manifold of relations, is_a adds non is_a relations • Generally limited to a • Not limited to a specific specific subject area subject area • Hierarchy of (simple) • Complex relations with concepts complex concepts EMMC The Value of Semantic Technologies • Natural perspective of human communication • Greater expressivity than a database • Improved logical structure • Knowledge layer is separated from data layer • Flexibility, reusability, interoperability • Hierarchies, relationships and annotation • Search patterns can be stored, share, reused • Reasoning – answers to what-if, if-then questions • Accessible to Artificial Intelligence EMMC The Value of Ontology in the Materials Field Artificial Intelligence Materials Ontology will contribute to: Semantic Web Systems Engineering • High throughput experiments Biomedical Informatics • High throughput characterization Library Science • Cost reduction Enterprise Bookmarking Information Architecture • Reliable results • Standard operation procedures (SOPs) • Design of materials with improved characteristics All these fields create Ontologies to limit • Classification of techniques and complexity and acceleration of results organize information. The Ontology can then • Uniform query interface be applied to problem solving. EMMC Examples/Use of Ontologies • Database integration – Connected data! Discover new trends – Takahashi, et al (2018). -
Preferred Formats National Archives of the Netherlands in View of Sustainable Accessibility
Preferred formats National Archives of the Netherlands In view of sustainable accessibility Version 1.0, November 2016 Contents Contents—2 1 Introduction—3 2 Why preferred formats?—6 Archival regulation: ‘open unless...’—6 Management and availability: easier with minimal diversity—6 Open standards and interoperability: as few obstacles as possible—7 3 Preferred formats and acceptable formats—8 Summary of referred formats and acceptable formats—8 Overview preferred formats including substantiation—8 Overview of acceptable formats including substantiation—10 Appendix 1: Archival regulation—12 Appendix 2: Dutch Standardisation Forum and open standards—14 What are open standards?—14 Why open standards?—14 Interoperability and supplier independence—14 Publishing details—15 Page 2 van 15 1 Introduction The National Archives’ e-Depot can receive, sustainably store and make available digital information in a variety of forms and formats. But in light of digital sustainability, the National Archives has a number of preferred formats for the information supplied by the legal caretakers. This document describes those preferred formats and provides a substantiation for their use. This allows custodians to take sustainable accessibility into account from the inception of their information. Context and cause The document Preferred formats of the National Archives is an elaboration of its Preservation Policy. The Preservation Policy describes the overall policy for preservation, i.e. the way in which the National Archives keeps the digital information it manages authentic and useable. In addition to Preferred formats, the Preservation Policy is elaborated upon in other documents.1 Figure 1 depicts the components of the National Archives’ preservation policy. Preservation policy Policy (what) Strategy and Strategies and standards standards (why which choices) Information types Preferred formats Technical Registry Preservation Watch Essential characteristics (Monitor Designated Community & Technology), incl. -
File Format Guidelines for Management and Long-Term Retention of Electronic Records
FILE FORMAT GUIDELINES FOR MANAGEMENT AND LONG-TERM RETENTION OF ELECTRONIC RECORDS 9/10/2012 State Archives of North Carolina File Format Guidelines for Management and Long-Term Retention of Electronic records Table of Contents 1. GUIDELINES AND RECOMMENDATIONS .................................................................................. 3 2. DESCRIPTION OF FORMATS RECOMMENDED FOR LONG-TERM RETENTION ......................... 7 2.1 Word Processing Documents ...................................................................................................................... 7 2.1.1 PDF/A-1a (.pdf) (ISO 19005-1 compliant PDF/A) ........................................................................ 7 2.1.2 OpenDocument Text (.odt) ................................................................................................................... 3 2.1.3 Special Note on Google Docs™ .......................................................................................................... 4 2.2 Plain Text Documents ................................................................................................................................... 5 2.2.1 Plain Text (.txt) US-ASCII or UTF-8 encoding ................................................................................... 6 2.2.2 Comma-separated file (.csv) US-ASCII or UTF-8 encoding ........................................................... 7 2.2.3 Tab-delimited file (.txt) US-ASCII or UTF-8 encoding .................................................................... 8 2.3 -
FHIR RDF in Action
FHIR RDF in Action Harold Solbrig, Mayo Clinic Amsterdam, 15-17 November | @fhir_furore | #fhirdevdays17 | www.fhirdevdays.com FHIR® is the registered trademark of HL7 and is used with the permission of HL7. The Flame Design mark is the registered trademark of HL7 and is used with the permission of HL7. About Me – Harold Solbrig • Began in 1972 doing nuclear reactor safety software • Began medical computing 1975-78 – Berkeley Scientific Labs • First commercial Unix sysop • Hardware - disc controllers / television newsrooms • Worked on ASN.1, ISO 11179 (X3/L8) (metadata), ISO TC 215 (healthcare), OMG, HL7, WHO, IHTSDO / SNOMED International, ISO TC 37 (terminology) • BS in Maths and Computer Science, MsC in Software Engineering • With Mayo Clinic 1999-today (more or less) About Me – Harold Solbrig FHIR RDF in Action - Outline • FHIR RDF with SNOMED and OWL • FHIR RDF and i2b2 • fhir.schema.org (if time allows) FHIR Resource Instance in RDF http://www.hl7.org/fhir/diagnosticreport-example-f201-brainct.ttl RDF Turtle Syntax RDF Rendering Extensions – Concept URIs <http://snomed.info/id/394914008> JSON RDF Rendering Extensions – Resource Types Construct the actual URI Resource Type Ontology Header Stay tuned: • Looking at http://hl7.org/fhir/owl/DiagnosticRepor Requirement: import FHIR URI Catalog t/f201 (or variant thereof) as an • No ‘import in RDF’ – have to use OWL alternative • owl:imports requires owl:Ontology • ‘f201.ttl’ vs. ‘f201’ – reasoners don’t cope well with something that is both a fhir:DiagnosticReport and an owl:Ontology -
Chapter-2 Review of Reseach Literature Chapter-2
CHAPTER-2 REVIEW OF RESEACH LITERATURE CHAPTER-2 REVIEW OF RESEARCH LITERATURE 2.0 Introduction Management of DLs i.e. procurement, preservation, and access to digital resources in the library is first activity which have a great challenge for LISc professionals. Various attempts have been made related to issues, challenges, policies, planning etc. of DLs (Bouchet, 2006(59); Flannery, 2008 (157)) and these have been discussed from time to time. Before starting the study, a survey of literature related to the subject was carried out. The purpose of this exercise is to understand the existing trends, outcomes and fall drops, so as to arrive at the right perspective. The research topic is divided in to various sections and subsections. A thorough search has been made on the literature directly/ indirectly related to the topic of present study in various documents viz research journals, seminar/ conference proceedings, books, etc and a bibliography is prepared for most relevant and related research based articles. The purpose of review is to convey to readers what is currently known regarding the topic of interest. It traces out the critical points of existing knowledge. Its main aim is to bring the researcher to the nascent information with current literature on the topic of interest and forms the basis for another goal, such as the justification for future research in the area, etc. For the systematization and convenience, the review of the literature has been divided in the following headings and subheadings. 2.1 International Scenario It was Glandney, et al (1994)(178), who reported about the DL, its gross structure and requirements, while describing intelligent access to online.