Incorporating ARGOVOC in DSpace-based Agricultural Repositories Dr. Devika P. Madalli & Nabonita Guha Documentation Research & Training Centre Indian Statistical.

Slides:



Advertisements
Similar presentations
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Advertisements

Ontology Assessment – Proposed Framework and Methodology.
1/ 26 AGROVOC and the OWL Web Ontology Language: the Agriculture Ontology Service - Concept Server OWL model NKOS workshop Alicante,
Controlled Vocabularies in TELPlus Antoine ISAAC Vrije Universiteit Amsterdam EDLProject Workshop November 2007.
Library and Documentation Systems Division Johannes Keizer 5 th AOS workshop, Beijing May 2004 AOS Project And Realization.
Of 27 lecture 7: owl - introduction. of 27 ece 627, winter ‘132 OWL a glimpse OWL – Web Ontology Language describes classes, properties and relations.
Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.
Ontology Notes are from:
Standards for networked knowledge organisation systems Ron Davies European Library Automation Group Bucharest, April 2006.
SKOS and Linked Data Antoine Isaac ISKO, London, Sept. 14th 2010.
SKOS and Other W3C Vocabulary Related Activities Gail Hodge Information International Assoc. NKOS Workshop Denver, CO June 10, 2005.
Aligning Thesauri for an integrated Access to Cultural Heritage Collections Antoine ISAAC (including slides by Frank van Harmelen) STITCH Project UDC Conference.
ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.
Federal Controlled Vocabularies Data Architecture Sub-Committee (DAS) April 8, 2010 Brand K. Niemann.
A Registry for controlled vocabularies at the Library of Congress
1 Languages for aboutness n Indexing languages: –Terminological tools Thesauri (CV – controlled vocabulary) Subject headings lists (CV) Authority files.
Reengineering AGROVOC to Ontologies Step towards better semantic structure NKOS Workshop 31 May 2003 Rice University Houston, Texas, USA Frehiwot Fisseha.
SemanTic Interoperability To access Cultural Heritage Frank van Harmelen Henk Matthezing Peter Wittenburg Marjolein van Gendt Antoine Isaac Lourens van.
Sunday May 4 – 5 PM Bradford, Hlava, McNaughton
EuroVoc, Eurlex, EU Bookshop Danica Maleková, Publications Office STS Bratislava, 22 October 2010.
Accessing Cultural Heritage using Semantic Web Techniques Antoine ISAAC VU Amsterdam - KB Digital Access to Cultural Heritage Master March 20 th, 2008.
1/ 27 The Agriculture Ontology Service Initiative APAN Conference 20 July 2006 Singapore.
Information Extraction with Linked Life Data 19/04/2011.
9/10/20151 SKOS. 9/10/20152 SKOS Describes thesauruses and taxonomies Properties: broader, narrower, subject, related Classes: Concept, Collection
Terminology services and the DDC: the High-Level Thesaurus and beyond Presented to the symposium Dewey goes Europe: on the use and development of the Dewey.
Rutherford Appleton Laboratory SKOS Ecoterm 2006 Alistair Miles CCLRC Rutherford Appleton Laboratory Semantic Web Best Practices and Deployment.
A J Miles Rutherford Appleton Laboratory SKOS Standards and Best Practises for USING Knowledge Organisation Systems ON THE Semantic Web NKOS workshop ECDL.
The MMI Tools Carlos Rueda Monterey Bay Aquarium Research Institute OOS Semantic Interoperability Workshop Marine Metadata Interoperability Project Boulder,
Multilingual Information Exchange APAN, Bangkok 27 January 2005
Vocabularies in the VO Alasdair J G Gray Norman Gray Iadh Ounis.
D4: SKOS and HIVE—Enhancing the Creation, Design and Flow of Information Speakers: Hollie White Jane Greenberg Coordinator: Alan Keely.
SKOS Tutorial Catch Mark van Assem, Antoine Isaac Vrije Universiteit Amsterdam Based on slides by Alistair Miles CCLRC Rutherford Appleton Laboratory
MD9.6 Release: Highlights Increased the character limit for all URL resources to 600 characters. Data_Center/Service_Provider Data_Set_Citation/Service_Citation.
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
updated CmpE 583 Fall 2008 Ontology Integration- 1 CmpE 583- Web Semantics: Theory and Practice ONTOLOGY INTEGRATION Atilla ELÇİ Computer.
Ontology Summit2007 Survey Response Analysis Ken Baclawski Northeastern University.
The UNESCO Thesaurus Meeting for Managers of UNESCO Documentation Networks Meron Ewketu UNESCO Library June
Coastal Atlas Interoperability - Ontologies (Advanced topics that we did not get to in detail) Luis Bermudez Stephanie Watson Marine Metadata Interoperability.
Semantic Web - an introduction By Daniel Wu (danielwujr)
, 1/21, © Library and Documentation Systems Division 21 st APAN Meeting Tokyo, January 2006 AGROVOC and AOS, Margherita Sini, FAO From.
ISO 25964: a standard in support of interoperability Stella G Dextre Clarke Project Leader, ISO NP
Semantic web course – Computer Engineering Department – Sharif Univ. of Technology – Fall Knowledge Representation Semantic Web - Fall 2005 Computer.
Food and Agriculture Organization of the UN Library and Documentation Systems Division Margherita Sini July 2005 Managing domain ontologies within the.
It’s all semantics! The premises and promises of the semantic web. Tony Ross Centre for Digital Library Research, University of Strathclyde
SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.
APAN AG-WG Bangkok Food and Agriculture Organization of the UN Library and Documentation Systems Division Margherita Sini Slide Sustainable.
The future of the Web: Semantic Web 9/30/2004 Xiangming Mu.
AGROVOC Thesaurus. 1980s: developed as multilingual structured thesaurus for agricultural terminology (“rice”) : parallel effort to express thesaurus.
Metadata Common Vocabulary a journey from a glossary to an ontology of statistical metadata, and back Sérgio Bacelar
A Collaborative Framework for Managing and Publishing KOS Armando Stellato, Ahsan Morshed, Gudrun Johannsen, Yves Jaques, Caterina Caracciolo, Sachit Rajbhandari,
Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.
The Agricultural Ontology Service: A Proposal to Create a Knowledge Organisation Framework in the Area of Food and Agriculture Johannes Keizer, Food and.
Creating a Semantic Web with Linked Data Todd King.
1 Open Ontology Repository initiative - Planning Meeting - Thu Co-conveners: PeterYim, LeoObrst & MikeDean ref.:
Trait ontology approach Marie-Angélique LAPORTE NCEAS June 7 th 2010.
Controlled Vocabulary & Thesaurus Design Associative Relationships & Thesauri.
UNEP Terminology Workshop - Geneva, April 15, Environmental Terminology & Thesaurus Workshop UN Environment Programme Regional Office of Europe.
“New Dimensions in KOS” CENDI/NKOS Workshop September 11, 2008 Washington, DC, USA An international conference to share and advance knowledge and experience.
ORGANIZATION OF ELEMENTS OF INFORMATION The Thesaurus.
Enable Semantic Interoperability for Decision Support and Risk Management Presented by Dr. David Li Key Contributors: Dr. Ruixin Yang and Dr. John Qu.
EXtended Knowledge Organization System (XKOS) Prepared by Franck Cotton, Institut National de la Statistique et des Études Économiques Daniel W. Gillman,
SKOS : A language to describe simple knowledge structures for the web
Ontologies COMP6028 Semantic Web Technologies Dr Nicholas Gibbins
Semantic Web. P2 Introduction Information management facilities not keeping pace with the capacity of our information storage. –Information Overload –haphazardly.
Food and Agriculture Organization of the UN Library and Documentation Systems Division Slide 1 July 2005 Mapping CAT to AGROVOC 6 th AOS Workshop Vila.
Prabhakar TV 1 Agropedia Knowledge Models Launch Workshop Prabhakar TV 12 Jan 2009.
Information Organization
COMP6215 Semantic Web Technologies
Information Organization
2. An overview of SDMX (What is SDMX? Part I)
Presentation transcript:

Incorporating ARGOVOC in DSpace-based Agricultural Repositories Dr. Devika P. Madalli & Nabonita Guha Documentation Research & Training Centre Indian Statistical Institute, Bangalore

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop2 Overview Some Observation on present ontology plugin AGROVOC Thesaurus Plugin for DSpace AGROVOC in SKOS Difference between Thesaurus and Ontology Moving towards Ontology

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop3 Some Observations Present ontology plugin integrated with DSpace 1.4 doesn’t support synonyms and related terms It shows only broader and narrower relationship It requires the conversion of OWL or SKOS representation of AGROVOC into the native plugin format every time AGROVOC is updated Ideally, thesaurus input can be either in SKOS or OWL format (can be achieved by XLST) Cron job checks updates on AGROVOC site and downloads either SKOS or OWL file Alternatively, ontology should be displayed on the fly from the AGROVOC site (idea from Dr. Johannes Keizer)

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop4 AGROVOC Thesaurus Plug-in To provide controlled vocabulary support in subject description in DSpace and depict:  Equivalence  Homographs  Broader/narrower/associated relationship To …  Provide standard access points to document; &  Thesaurus based Indexing & Searching

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop5 Handling Synonyms At the time of creating the metadata  The synonymous terms are added along with the standard term At the time of search  If the user enters a non-standard term, it will be replaced by standard term, and search is performed using the standard term

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop6 Homograph resolution (spelling same but different meaning)  Can be resolved using context of the given term  At the search stage, the system will retrieve the subject string attached to the document along with the associated documents Fish – agriculture Fish – cooking Fish – decoration Handling Homographs

AGROVOC in SKOS

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop8 SKOS SKOS = Simple Knowledge Organization System Provides a model for expressing the basic structure and content of concept schemes [1] in RDF syntax Concept Scheme = thesaurus, classification scheme, taxonomy, subject heading list, terminologies, etc

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop9 SKOS: Classes Classes [2]  ConceptScheme (AGROVOC, MeSH, AAT, etc)  Concept (actual terms, e.g. animals, crops, etc)  Collection (group of concepts e.g. meat cattle)

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop10 SKOS: Properties Properties [2]  altLabel  broader  changeNote  narrower  prefLabel  scopeNote  hasTopConcept  historyNote  isPrimarySubjectOf  isSubjectOf  member  definition  note  primarySubject  related  subject  example  subjectIndicator

Thesaurus Vs Ontology

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop12 Thesaurus is … Controlled vocabulary tools in which relationship between concept terms are shown as:  Equivalence = synonyms  Homographic = same spelling  Hierarchical = broader -> narrower  Associative relationships = related terms Represents the terms denoting certain concepts

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop13 Ontology is … An ontology defines the terms used to describe and represent an area of knowledge (subject matter) [3]  Model for the meaning of those terms  Definition of the vocabulary used

(Real world entity) Cattle Suckler Cow Dairy Cow Heifers Cow Milk Milk yielding cows COW BT NT RT Related Terms in AGROVOC for Cow

SKOS representation of AGROVOC Terms 1939 Cows skos:prefLabel Domestic Animal Milk yielding cows skos:Related Heifers skos:Related Cow milk skos:Related Cattle skos:Broader Suckler Cow skos:Narrower Dairy Cow skos:Narrower

COW Animals subClassOf Wild Domestic Animal subClassOf Cattle subClassOf Cow milk hasByproduct Domain Range Heifers subClassOf Milk yielding cows subClassOf RDF Representation of AGROVOC Terms

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop17 Current Approach To develop a plugin which can provide thesaural support in DSpace Not only specific to AGROVOC, but can support any thesaurus in DSpace represented in SKOS

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop18 Moving Towards Ontology Decision regarding the nature of Information Retrieval  Document retrieval ; or  Retrieval of exact information extracted from the document To develop a generic framework for Agriculture domain knowledge with scopes for further extension for narrower domains To incorporate the inferencing mechanism defining certain rules (SWRL)

Uncontrolled Vocabulary Unstructured Controlled Vocabulary in formal syntax (RDF) Structured Ontology-based information search & retrieval Semantic

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop20 References 1. Alistair Miles & Dan Brickley. SKOS Core Guide. W3C Working draft 10 May Alistair Miles & Dan Brickley. SKOS Core Vocabulary Specification. W3C Working Draft 2 November Dr. Leo Obrst. Presentation on the ontology spectrum & semantic models. MITRE, Information Semantics Group, January 12 & 19, /OntologySpectrumSemanticModels--LeoObrst_ ppt

Nov. 10, 2006Seventh Agricultural Ontology Service (AOS) Workshop21 Thank You Devika P. Madalli Nabonita Guha