ONTOLOGY LIBRARIES: A STUDY FROM ONTOFIER AND ONTOLOGIST PERSPECTIVES Debashis Naskar 1 and Biswanath Dutta 2 DSIC, Universitat Politècnica de València.

Slides:



Advertisements
Similar presentations
OMV Ontology Metadata Vocabulary April 10, 2008 Peter Haase.
Advertisements

Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
1 Ontolog OOR Use Case Review Todd Schneider 1 April 2010 (v 1.2)
1 Ontolog Open Ontology Repository Review 19 February 2009.
Database System Concepts and Architecture
CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.
A Stepwise Modeling Approach for Individual Media Semantics Annett Mitschick, Klaus Meißner TU Dresden, Department of Computer Science, Multimedia Technology.
Logics for Data and Knowledge Representation Projects and thesis introduction.
Building Digital Library using DSpace Dr. M.Krishnamurthy, Librarian Indian Statistical Institute 8 th Mile Mysore Road R.V.College Post Bangalore
Ontology Notes are from:
1 Draft of a Matchmaking Service Chuang liu. 2 Matchmaking Service Matchmaking Service is a service to help service providers to advertising their service.
1 MPEG-21 : Goals and Achievements Ian Burnett, Rik Van de Walle, Keith Hill, Jan Bormans and Fernando Pereira IEEE Multimedia, October-November 2003.
ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.
The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.
Metadata: Its Functions in Knowledge Representation for Digital Collections 1 Summary.
GL12 Conf. Dec. 6-7, 2010NTL, Prague, Czech Republic Extending the “Facets” concept by applying NLP tools to catalog records of scientific literature *E.
Vocabulary Services “Huuh - what is it good for…” (in WDTS anyway…) 4 th September 2009 Jonathan Yu CSIRO Land and Water.
Improving Data Discovery in Metadata Repositories through Semantic Search Chad Berkley 1, Shawn Bowers 2, Matt Jones 1, Mark Schildhauer 1, Josh Madin.
MDC Open Information Model West Virginia University CS486 Presentation Feb 18, 2000 Lijian Liu (OIM:
Chinese-European Workshop on Digital Preservation, Beijing July 14 – Chinese-European Workshop on Digital Preservation Beijing (China), July.
PREMIS Tools and Services Rebecca Guenther Network Development & MARC Standards Office, Library of Congress NDIIPP Partners Meeting July 21,
Fundamentals of Information Systems, Fifth Edition
Using Vocabulary Services in Validation of Water Data May 2010 Simon Cox, JRC Jonathan Yu & David Ratcliffe, CSIRO.
1 SAMT’08 Semantic-driven multimedia retrieval with the MPEG Query Format Ruben Tous and Jaime Delgado Distributed Multimedia Applications Group (DMAG)
1 XML as a preservation strategy Experiences with the DiVA document format Eva Müller, Uwe Klosa Electronic Publishing Centre Uppsala University Library,
The MMI Tools Carlos Rueda Monterey Bay Aquarium Research Institute OOS Semantic Interoperability Workshop Marine Metadata Interoperability Project Boulder,
Ontologies and Lexical Semantic Networks, Their Editing and Browsing Pavel Smrž and Martin Povolný Faculty of Informatics,
Metadata. Generally speaking, metadata are data and information that describe and model data and information For example, a database schema is the metadata.
1 Schema Registries Steven Hughes, Lou Reich, Dan Crichton NASA 21 October 2015.
Semantic Web - an introduction By Daniel Wu (danielwujr)
1 Open Ontology Repository: Architecture and Interfaces Ken Baclawski Northeastern University 1.
10/07/2008 Semantic Web Technologies & Higher Education.
10/24/09CK The Open Ontology Repository Initiative: Requirements and Research Challenges Ken Baclawski Todd Schneider.
SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.
11 CORE Architecture Mauro Bruno, Monica Scannapieco, Carlo Vaccari, Giulia Vaste Antonino Virgillito, Diego Zardetto (Istat)
Metadata Registries Registry: authoritative, centrally controlled store of information – W3C Web Services Glossary, 2004
User Profiling using Semantic Web Group members: Ashwin Somaiah Asha Stephen Charlie Sudharshan Reddy.
The RDF meta model Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations of XML compared.
Issues in Ontology-based Information integration By Zhan Cui, Dean Jones and Paul O’Brien.
Extending the MDR for Semantic Web November 20, 2008 SC32/WG32 Interim Meeting Vilamoura, Portugal - Procedure for the Specification of Web Ontology -
1 Ontolog OOR-BioPortal Comparative Analysis Todd Schneider 15 October 2009.
1 Open Ontology Repository initiative - Planning Meeting - Thu Co-conveners: PeterYim, LeoObrst & MikeDean ref.:
Department of Computer Engineering ARTIFICIAL INTELLIGENCE
DANIELA KOLAROVA INSTITUTE OF INFORMATION TECHNOLOGIES, BAS Multimedia Semantics and the Semantic Web.
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
OWL Web Ontology Language Summary IHan HSIAO (Sharon)
Semantic Web. P2 Introduction Information management facilities not keeping pace with the capacity of our information storage. –Information Overload –haphazardly.
Session: Towards systematically curating and integrating
Databases (CS507) CHAPTER 2.
Supervisor: Prof Michael Lyu Presented by: Lewis Ng, Philip Chan
ece 627 intelligent web: ontology and beyond
Stanford Medical Informatics
Overview: Fedora Architecture and Software Features
VI-SEEM Data Repository
Datamining : Refers to extracting or mining knowledge from large amounts of data Applications : Market Analysis Fraud Detection Customer Retention Production.
VI-SEEM Data Repository
Multi-agent system for web services
Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 2 Database System Concepts and Architecture.
Chapter 2 Database Environment.
Applications of IFLA Namespaces
Vocabularies and Semantics
PREMIS Tools and Services
Data Model.
An ontology for e-Research
Session 2: Metadata and Catalogues
Metadata in Digital Preservation: Setting the Scene
LOD reference architecture
BUILDING A DIGITAL REPOSITORY FOR LEARNING RESOURCES
NIEM Tool Strategy Next Steps for Movement
Digital Libraries & Technology Trends
Presentation transcript:

ONTOLOGY LIBRARIES: A STUDY FROM ONTOFIER AND ONTOLOGIST PERSPECTIVES Debashis Naskar 1 and Biswanath Dutta 2 DSIC, Universitat Politècnica de València 1 DRTC, Indian Statistical Institute 2

OUTLINE  Introduction  Classification of the Ontology Libraries  By types  By type of contents  Discussion of ontology libraries  Evaluation of the Ontology Libraries  Evaluation criteria  Comparative analysis  Conclusion 2

INTRODUCTION  Digital library  Ontology library  Digital Library and Ontology Library  Principally both a digital library and an ontology library have the similar kinds of purposes and objectives to achieve (e.g., store, organize and provide access to the digital objects), except the kind of materials they deal with.  A digital library deals with the documents of various types, such as text, audio, video, images, etc., while an ontology library deals with the ontologies (where an ontology is an intelligent object, often referred as a digital artifact, consisted of representations of the entities in terms of their types, properties and the relationships of a domain of discourse).  Purpose of the current work  To make a comparative analysis of the existing and popular ontology libraries based on a selected set of features.  Objective  To make aware the about the current state of the ontology libraries. 3

WHAT IS ONTOLOGY LIBRARY 4 Ontology libraries are the systems or platform where various types of ontologies are stored from different sources and provide the ability to data providers and application developers to share and reuse the ontologies.

CLASSIFICATION OF ONTOLOGY LIBRARIES Different forms of the ontology libraries:  Ontology Repository (OR)  Ontology Directory (OD)  Ontology Registry (OReg.) 5

ONTOLOGY REPOSITORY (OR)  An ontology repository is a facility where ontologies and related information (e.g., ontology metadata including the information on who included the ontologies) are stored, managed and retrieved.  The purpose of ontology repository is to enable users to upload, browse, search, share and manage the ontologies. 6

ONTOLOGY DIRECTORY (OD)  Ontology directory is a service that provides the information about ontologies that are available in a particular platform.  Ontology directory contains the reference to the definition of ontology related language based schema such as OWL, XML, and RDF Schema. It provides metadata and source of information.  It follows simple hierarchical structures, which is effective in data storage and classification. 7

ONTOLOGY REGISTRY (OREG.)  A registry provides a data storage interface where data, knowledge, metadata of a semantic object including the name of the person or any community and process of using data are registered.  It can be defined as a platform where list of metadata can be declared for visualizing data, storing information and access the knowledge about domain, scientific elements.  An ontology registry consists of a list of ontologies and metadata instead of consisting the actual set of ontologies. 8

CLASSIFICATION OF ONTOLOGY LIBRARIES BASED ON TYPE OF CONTENTS 9

EXAMPLES OF ONTOLOGY LIBRARIES 10

EVALUATION OF THE ONTOLOGY LIBRARIES  Target: to make a comparative analysis of the existing and popular ontology libraries.  To do the analysis, we have identified the following characteristics.  Specialization or field  Browsing and searching ontologies  Submission process of ontology  Mapping and relations  Web service protocol(API)  Usage and access of ontology  File format for input and output  Technology and interface 11

12 BioPortalAgroPortalCOLOREROMULUSOeGOVODPONKIDAML OLMMI-ORRProtégé OL Specialization BiomedicalAgronomicGeneralMixede-GovernmentGeneralMixed DomainMixed Browsing and Searching ontologies YES No supportYESNo support YES Submission process of ontology Registered users Administrators and Registered users Administrators via blog post Registered users AdministratorsOrganization and any users Registered users or organization Registered users Mapping and Relations Mapping between classes Mappings between ontologies Mappings between modules Mappings between ontologies No supportN-ary RelationNo support Mapping across vocabularies Mapping between ontologies Web Service Access (APIs) REST No support RESTJENAREST Usage and Access of Ontology Upload, Edit and Download Upload, download View and Download List of Ontologies description & View Design ontology for pattern reuse & View Access general ontology, Upload, Download & View Access and View View, Upload, Print and Download View and Download File Format for Input and Output OWL, RDF, OBO, RRF OBO, RDF, OWL XML, CLIFOWL DL, OWL 2DL, OBO OWL, RDF, N3OWLRDFRDF, DAML + OIL, OWL OWL, RDF/XML, N3, JSON, CSV OWL, DAML+OIL, RDFS Technology and Interface Protégé, LexGrid Protégé, Web-Protégé Samian Platform WebProtégéWordpressMediaWikiAd-hocProtégéVoc2RDFProtégé

CONCLUSION  The exact and precise requirement for building Ontology and Ontology libraries is essential to amalgamate and compile the vast pool of knowledge into a unified platform. It seeks to find the connections between various areas of such a compilation of knowledge.  In the current study, we have classified the ontology libraries into three types: ontology repository, ontology directory and ontology registry.  The libraries primarily consists of general, domain and mixed kinds of ontologies.  In the current study, we have studied and critically analysed the ontology libraries against a set of parameters.  In the future, we would like to extend this work by studying the libraries with more advanced features, such as, pictography document, community service, interface, etc. 13

14