Lecture Notes in Computer Science 5321 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan Van Leeuwen
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INFOCOMP / Datasys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing
INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing June 28, 2017, Venice, Italy The Seventh International Conference on Advanced Communications and Computation (INFOCOMP 2017) The Seventh International Conference on Advances in Information Mining and Management (IMMM 2017) The Twelfth International Conference on Internet and Web Applications and Services (ICIW 2017) INFOCOMP/IMMM/ICIW (DataSys) June 25{29, 2017 - Venice, Italy INFOCOMP, June 25 { 29, 2017 - Venice, Italy INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing INFOCOMP / DataSys 2017 International Expert Panel: Challenges on Web Semantic Mapping and Information Processing INFOCOMP Expert Panel: Web Semantic Mapping & Information Proc. INFOCOMP Expert Panel: Web Semantic Mapping & Information Proc. Panelists Claus-Peter R¨uckemann (Moderator), Westf¨alischeWilhelms-Universit¨atM¨unster(WWU) / Leibniz Universit¨atHannover / North-German Supercomputing Alliance (HLRN), Germany Marc Jansen, University of Applied Sciences Ruhr West, Deutschland Fahad Muhammad, CSTB, Sophia Antipolis, France Kiyoshi Nagata, Daito Bunka University, Japan Claus-Peter R¨uckemann, WWU M¨unster/ Leibniz Universit¨atHannover / HLRN, Germany INFOCOMP 2017: http://www.iaria.org/conferences2017/INFOCOMP17.html Program: http://www.iaria.org/conferences2017/ProgramINFOCOMP17.html -
May 28, 2016 3:46 WSPC/INSTRUCTION FILE Output
May 28, 2016 3:46 WSPC/INSTRUCTION FILE output International Journal of Semantic Computing c World Scientific Publishing Company Methods and Resources for Computing Semantic Relatedness Yue Feng Ryerson University Toronto, Ontario, Canada [email protected] Ebrahim Bagheri Ryerson University Toronto, Ontario, Canada [email protected] Received (Day Month Year) Revised (Day Month Year) Accepted (Day Month Year) Semantic relatedness (SR) is defined as a measurement that quantitatively identifies some form of lexical or functional association between two words or concepts based on the contextual or semantic similarity of those two words regardless of their syntactical differences. Section 1 of the entry outlines the working definition of semantic related- ness and its applications and challenges. Section 2 identifies the knowledge resources that are popular among semantic relatedness methods. Section 3 reviews the primary measurements used to calculate semantic relatedness. Section 4 reviews the evaluation methodology which includes gold standard dataset and methods. Finally, Section 5 in- troduces further reading. In order to develop appropriate semantic relatedness methods, there are three key aspects that need to be examined: 1) the knowledge resources that are used as the source for extracting semantic relatedness; 2) the methods that are used to quantify semantic relatedness based on the adopted knowledge resource; and 3) the datasets and methods that are used for evaluating semantic relatedness techniques. The first aspect involves the selection of knowledge bases such as WordNet or Wikipedia. Each knowledge base has its merits and downsides which can directly affect the accurarcy and the coverage of the semantic relatedness method. The second aspect relies on different methods for utilizing the beforehand selected knowledge resources, for example, methods that depend on the path between two words, or a vector representation of the word. -
An Extensible Platform for Semantic Classification and Retrieval of Multimedia Resources
An extensible platform for semantic classification and retrieval of multimedia resources Paolo Pellegrino, Fulvio Corno Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Torino, Italy {paolo.pellegrino, fulvio.corno}@polito.it Abstract and seem very promising, but are still mostly exploited for textual resources only. In effect, text is the simplest form This paper introduces a possible solution to the problem of knowledge representation which can be both of semantic indexing, searching and retrieving heterogeneous understood by humans and quickly processed by resources, from textual as in most of modern search engines, machines. So, while text itself is already efficaciously to multimedia. The idea of “anchor” as information unit is used as knowledge representation for machines, digital here introduced to view resources from different perspectives multimedia resources like images and videos cannot in and to access existing resources and metadata archives. general be used as they are for efficient classification and Moreover, the platform uses an ontology as a conceptual retrieval. Some intensive processing or manual metadata representation of a well-defined domain in order to creation is necessary to extract and associate semantic semantically classify and retrieve anchors (and the related information to a given multimedia resource. resources). Specifically, the architecture of the proposed platform aims at being as modular and easily extensible as In this context, the proposed work aims at providing a possible, in order to permit the inclusion of state-of-the-art flexible, lightweight and ready-to-use platform for the techniques for the classification and retrieval of multimedia semantic classification, search and retrieval of resources. -
Semantic Computing
SEMANTIC COMPUTING 10651_9789813227910_TP.indd 1 24/7/17 1:49 PM World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence ISSN: 2529-7686 Published Vol. 1 Semantic Computing edited by Phillip C.-Y. Sheu 10651 - Semantic Computing.indd 1 27-07-17 5:07:03 PM World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence – Vol. 1 SEMANTIC COMPUTING Editor Phillip C-Y Sheu University of California, Irvine World Scientific NEW JERSEY • LONDON • SINGAPORE • BEIJING • SHANGHAI • HONG KONG • TAIPEI • CHENNAI • TOKYO 10651_9789813227910_TP.indd 2 24/7/17 1:49 PM World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence ISSN: 2529-7686 Published Vol. 1 Semantic Computing edited by Phillip C.-Y. Sheu Catherine-D-Ong - 10651 - Semantic Computing.indd 1 22-08-17 1:34:22 PM Published by World Scientific Publishing Co. Pte. Ltd. 5 Toh Tuck Link, Singapore 596224 USA office: 27 Warren Street, Suite 401-402, Hackensack, NJ 07601 UK office: 57 Shelton Street, Covent Garden, London WC2H 9HE Library of Congress Cataloging-in-Publication Data Names: Sheu, Phillip C.-Y., editor. Title: Semantic computing / editor, Phillip C-Y Sheu, University of California, Irvine. Other titles: Semantic computing (World Scientific (Firm)) Description: Hackensack, New Jersey : World Scientific, 2017. | Series: World Scientific encyclopedia with semantic computing and robotic intelligence ; vol. 1 | Includes bibliographical references and index. Identifiers: LCCN 2017032765| ISBN 9789813227910 (hardcover : alk. paper) | ISBN 9813227915 (hardcover : alk. paper) Subjects: LCSH: Semantic computing. Classification: LCC QA76.5913 .S46 2017 | DDC 006--dc23 LC record available at https://lccn.loc.gov/2017032765 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. -
D2.9 Dissemination Plan Version C
Ref. Ares(2019)2902574 - 30/04/2019 C3-Cloud “A Federated Collaborative Care Cure Cloud Architecture for Addressing the Needs of Multi-morbidity and Managing Poly-pharmacy” PRIORITY Objective H2020-PHC-25-2015 - Advanced ICT systems and services for integrated care D2.9 Dissemination Plan version c Work Package: WP2 Dissemination, Exploitation and Innovation Related Activities” Due Date: 30 April 2019 Actual Submission Date: 30 April 2019 Project Dates: Project Start Date: 01 May 2016 Project End Date: 30 April 2020 Project Duration: 48 months Deliverable Leader: EuroRec Project funded by the European Commission within the Horizon 2020 Programme (2014-2020) Dissemination Level PU Public CO Confidential, only for members of the consortium (including the Commission Services) X EU-RES Classified Information: RESTREINT UE (Commission Decision 2005/444/EC) EU-CON Classified Information: CONFIDENTIEL UE (Commission Decision 2005/444/EC) EU-SEC Classified Information: SECRET UE (Commission Decision 2005/444/EC) Document History: Version Date Changes From Review V0.1 20-04-2019 Initial document, most of content EuroRec - V0.2 27-04-2019 Further partner inputs plus web site EuroRec All screenshots V0.3 29-04-2019 Further review and addition of new WARWICK - material V1.0 30-04-2019 Final checks and editing by the WARWICK Coordinating team Contributors Geert Thienpont (EuroRec), Sarah N. Lim Choi Keung (WARWICK), (Beneficiary) Theodoros N. Arvanitis (WARWICK), George Despotou (WARWICK), Marie Sherman (RJH), Marie Beach (SWFT), Veli Stroetmann (empirica), Malte von Tottleben (empirica), Gokce Banu Laleci Erturkmen (SRDC), Mustafa Yuksel (SRDC), Göran Ekestubbe (CAMBIO), Mattias Fendukly (CAMBIO), Pontus Lindman (MEDIXINE), Dolores Verdoy (KG/OSAKI), Esteban de Manuel Keenoy (KG/OSAKI), Lamine Traore (INSERM), Marie- Christine Jaulent (INSERM) Responsible Author Dipak Kalra Email [email protected] Beneficiary EuroRec D2.9 Version 1.0, dated 30 April 2019 Page 2 of 71 TABLE OF CONTENTS 1. -
Oracle White Paper May 19Th, 2015
An Oracle White Paper May 19th, 2015 Oracle Metadata Management v12.1.3.0.2 New Features Overview Oracle Metadata Management version 12.1.3.0.2 – May 19th, 2015 New Features Overview Disclaimer This document is for informational purposes. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described in this document remains at the sole discretion of Oracle. This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. This document and information contained herein may not be disclosed, copied, reproduced, or distributed to anyone outside Oracle without prior written consent of Oracle. This document is not part of your license agreement nor can it be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. 1 Oracle Metadata Management version 12.1.3.0.2 – May 19th, 2015 New Features Overview Table of Contents Executive Overview ............................................................................ 3 Oracle Metadata Management 12.1.3.0.2 .......................................... 4 Data Model Diagram Visualizer ...................................................... 4 HTML5 redesign ..................................................................................... 4 New interactive search ........................................................................... 5 New diagram auto -
Rule-Based Intelligence on the Semantic Web Implications for Military Capabilities
UNCLASSIFIED Rule-Based Intelligence on the Semantic Web Implications for Military Capabilities Dr Paul Smart Senior Research Fellow School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom 26th November 2007 UNCLASSIFIED Report Documentation Page Report Title: Rule-Based Intelligence on the Semantic Web Report Subtitle Implications for Military Capabilities Project Title: N/A Number of Pages: 57 Version: 1.2 Date of Issue: 26/11/2007 Due Date: 22/11/2007 Performance EZ~01~01~17 Number of 95 Indicator: References: Reference Number: DT/Report/RuleIntel Report Availability: APPROVED FOR PUBLIC RELEASE; LIMITED DISTRIBUTION Abstract Availability: APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED Authors: Paul Smart Keywords: semantic web, ontologies, reasoning, decision support, rule languages, military Primary Author Details: Client Details: Dr Paul Smart Senior Research Fellow School of Electronics and Computer Science University of Southampton Southampton, UK SO17 1BJ tel: +44 (0)23 8059 6669 fax: +44 (0)23 8059 2783 email: [email protected] Abstract: Rules are a key element of the Semantic Web vision, promising to provide a foundation for reasoning capabilities that underpin the intelligent manipulation and exploitation of information content. Although ontologies provide the basis for some forms of reasoning, it is unlikely that ontologies, by themselves, will support the range of knowledge-based services that are likely to be required on the Semantic Web. As such, it is important to consider the contribution that rule-based systems can make to the realization of advanced machine intelligence on the Semantic Web. This report aims to review the current state-of-the-art with respect to semantic rule-based technologies. -
Emergent Computing Joint ERCIM Actions: ‘Beyond the Horizon’ Anticipating Future and Emerging Information Society Technologies
European Research Consortium for Informatics and Mathematics Number 64, January 2006 www.ercim.org Special: Emergent Computing Joint ERCIM Actions: ‘Beyond the Horizon’ Anticipating Future and Emerging Information Society Technologies European Scene: Routes to Open Access Publishing CONTENTS JOINT ERCIM ACTIONS THE EUROPEAN SCENE 4 Fourth ERCIM Soft Computing Workshop The Routes to Open Access by Petr Hajek, Institute of Computer Science, Academy of 16 Open Access: An Introduction Sciences / CRCIM, Czech Republic by Keith G Jeffery, Director IT, CCLRC and ERCIM president 4 Cor Baayen Award 2006 18 Publish or Perish — Self-Archive to Flourish: The Green Route to Open Access 5 Second ERCIM Workshop ‘Rapid Integration of Software by Stevan Harnad, University of Southampton, UK Engineering Techniques’ by Nicolas Guelfi, University of Luxembourg 19 The Golden Route to Open Access by Jan Velterop 5 Grid@Asia: European-Asian Cooperation Director of Open Access, Springer in Grid Research and Technology by Bruno Le Dantec , ERCIM Office 20 ERCIM Statement on Open Access 6 GFMICS 2005 — 10th International Workshop on Formal 21 Managing Licenses in an Open Access Community Methods for Industrial Critical Systems by Renato Iannella National ICT Australia by Mieke Massink and Tiziana Margaria 22 W3C at the Forefront of Open Access Beyond-The-Horizon Project by Rigo Wenning, W3C 7 Bits, Atoms and Genes Beyond the Horizon 23 Cream of Science by Dimitris Plexousakis, ICS-FORTH, Greece by Wouter Mettrop, CWI, The Netherlands 8 Thematic Group 1: Pervasive Computing and Communications SPECIAL THEME: by Alois Ferscha, University of Linz, Austria EMERGENT COMPUTING 24 Introduction to the Special Theme 9 Thematic Group 2: by Heather J. -
Semantic Web OWL RDF and SPARQL
Searching The Semantic Web Lecturer: Kyumars Sheykh Esmaili Semantic Web Research Laboratory Computer Engineering Department Sharif University of Technology Fall 2005 Table of Content Introduction Semantic web Search Engines Ontology Search Engines Meta Ontology Search Engines Crawler Based Ontology Search Engines Semantic Search Engines Context Based Search Engines Semantic Annotation Evolutionary Search Engines Semantic Association Discovery Engines Discussion and Evaluation References Semantic Web Research LaboratorySearching The Semantic Web Sharif University of Technology 2 Table of Content Introduction Semantic web Search Engines Ontology Search Engines Meta Ontology Search Engines Crawler Based Ontology Search Engines Semantic Search Engines Context Based Search Engines Semantic Annotation Evolutionary Search Engines Semantic Association Discovery Engines Discussion and Evaluation References Semantic Web Research LaboratorySearching The Semantic Web Sharif University of Technology 3 Before and After ? Semantic Web Research LaboratorySearching The Semantic Web Sharif University of Technology 4 Semantic Web Terminology A Term is a non-anonymous RDF resource which is the URI reference of either a class or a property. rdfs:Class foaf:Person An Individual refers to a non-anonymous RDF resource which is the URI reference of a class member. foaf:Person http://.../foaf.rdf#finin An Ontology contains mostly term definition (i.e. classes and properties). It corresponds to T-Box in Description Logic. An Annotation contains mostly class -
Reducing the Overconfidence of Base Classifiers When Combining Their Decisions Raudys, Šarunas; Somorjai, Ray; Baumgartner, Richard
NRC Publications Archive Archives des publications du CNRC Reducing the overconfidence of base classifiers when combining their decisions Raudys, Šarunas; Somorjai, Ray; Baumgartner, Richard For the publisher’s version, please access the DOI link below./ Pour consulter la version de l’éditeur, utilisez le lien DOI ci-dessous. Publisher’s version / Version de l'éditeur: https://doi.org/10.1007/3-540-44938-8_7 Multiple Classifier Systems: 4th International Workshop, MCS 2003 Guildford, UK, June 11–13, 2003 Proceedings, Lecture Notes in Computer Science; no. 2709, pp. 65-73, 2003 NRC Publications Archive Record / Notice des Archives des publications du CNRC : https://nrc-publications.canada.ca/eng/view/object/?id=8a1144bd-69c8-49fe-9ae2-8ef86f388615 https://publications-cnrc.canada.ca/fra/voir/objet/?id=8a1144bd-69c8-49fe-9ae2-8ef86f388615 Access and use of this website and the material on it are subject to the Terms and Conditions set forth at https://nrc-publications.canada.ca/eng/copyright READ THESE TERMS AND CONDITIONS CAREFULLY BEFORE USING THIS WEBSITE. L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site https://publications-cnrc.canada.ca/fra/droits LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB. Questions? Contact the NRC Publications Archive team at [email protected]. If you wish to email the authors directly, please see the first page of the publication for their contact information. Vous avez des questions? Nous pouvons vous aider. Pour communiquer directement avec un auteur, consultez la première page de la revue dans laquelle son article a été publié afin de trouver ses coordonnées. -
Symposiumplanner-2011: Querying Two Virtual Organization Committees
SymposiumPlanner-2011: Querying Two Virtual Organization Committees Zhili Zhao1, Adrian Paschke1, Chaudhry Usman Ali2, and Harold Boley2,3 1 Computer Science Department, Freie Universit¨at Berlin, Germany zhili.zhao,paschke [AT]inf.fu-berlin.de, { } 2 Faculty of Computer Science, University of New Brunswick, Canada maniali[AT]gmail.com, 3 Institute for Information Technology, National Research Council Canada harold.boley[AT]nrc.gc.ca Abstract. SymposiumPlanner-2011 is the newest in a series of Rule Responder instantiations for the Questions&Answers (Q&A) sections of the official websites of the RuleML Symposia. It supports committee members via personal agents based on member-encoded rule knowledge. The personal agents are invoked by an organizational agent which se- lects them using a responsibility assignment matrix. This paper describes SymposiumPlanner-2011, which goes beyond the previous instantiations by providing a more powerful user interface and reducing redundancy in the internal conference data repositories. 1 Introduction SymposiumPlanner4 is a series of Rule Responder[1, 5] instantiations for the Questions&Answers (Q&A) sections of the official websites of the RuleML Sym- posia since 2007. SymposiumPlanner utilizes an Organizational Agent (OA) to handle the filtering and delegation of incoming queries. Each committee chair has a Personal Agent (PA) that acts in a rule-based manner on behalf of the chair. This PA manages the chair’s personal information, such as a FOAF(Friend of a Friend5)-like profile containing a layer of facts about the committee member as well as FOAF-extending rules. These facts and rules allow PAs to automatically respond to requests concerning the RuleML Symposia. -
Knowledge Acquisition Framework from Unstructured Biomedical Knowledge Sources Demeke Asres Ayele
Knowledge Acquisition Framework from Unstructured Biomedical Knowledge Sources Demeke Asres Ayele To cite this version: Demeke Asres Ayele. Knowledge Acquisition Framework from Unstructured Biomedical Knowledge Sources. Information Retrieval [cs.IR]. Université d’Addis Abeba, 2016. English. tel-02087577 HAL Id: tel-02087577 https://tel.archives-ouvertes.fr/tel-02087577 Submitted on 18 Oct 2019 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. ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES KNOWLEDGE ACQUISITION FRAMEWORK FROM UNSTRUCTURED BIOMEDICAL KNOWLEDGE SOURCES DEMEKE ASRES AYELE A THESIS SUBMITTED TO IT DOCTORAL PROGRAM ADDIS ABABA UNIVERSITY PRESENTED IN FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN INFORMATION TECHNOLOGY (LANGUAGE TECHNOLOGY) Jury: Prof. Luciano Serafìni External Examiner Dr. Solonron Tefera Internal Examiner Dr. Jean-Pierre Chevallet Supervisor Dr. Getnet Mitikie Co-Supervisor Dr. Milion Mcshesha Co-Supervisor Dr. Dida Midekso Chairman ADDIS ABABA, ETHIOPIA 9 August 2016 Knowledge Acquisition