neon- from experiments in ontology learniآ  neon-project.org neon: lifecycle support for networked...

Download NeOn- from experiments in ontology learniآ  NeOn-project.org NeOn: Lifecycle Support for Networked Ontologies

If you can't read please download the document

Post on 22-Aug-2020

0 views

Category:

Documents

0 download

Embed Size (px)

TRANSCRIPT

  • NeOn-project.org

    NeOn: Lifecycle Support for Networked Ontologies

    Integrated Project (IST-2005-027595)

    Priority: IST-2004-2.4.7 – “Semantic-based knowledge and content systems”

    7.3.1 : Results from Experiments in Ontology Learning including Evaluation and Recommendation

    Deliverable Co-ordinator: Alfio Massimiliano Gliozzo

    Deliverable Co-ordinating Institution: Italian National Research Council (CNR)

    Other Authors: Caterina Caracciolo (FAO), Mathieu d’Aquin (OU), Marta Sabou (OU) , Wim Peters (USFD), Johanna Voelker (UKARL)

    Document Identifier: NEON/2007/D7.3.1/v7.2 Date due: October 31, 2007 Class Deliverable: NEON EU-IST-2005-027595 Submission date: December 15, 2007 Project start date: March 1, 2006 Version: V7.2 Project duration: 4 years State: Final

    Distribution: Restricted

    2006-2007 © Copyright lies with the respective authors and their institutions.

  • Page 2 of 63 NeOn Integrated Project EU-IST-027595

    NeOn Consortium

    This document is a part of the NeOn research project funded by the IST Programme of the Commission of the European Communities by the grant number IST-2005-027595. The following partners are involved in the project:

    Open University (OU) – Coordinator Knowledge Media Institute – KMi Berrill Building, Walton Hall Milton Keynes, MK7 6AA United Kingdom Contact person: Martin Dzbor, Enrico Motta E-mail address: {m.dzbor, e.motta} @open.ac.uk

    Universität Karlsruhe – TH (UKARL) Institut für Angewandte Informatik und Formale Beschreibungsverfahren – AIFB Englerstrasse 28 D-76128 Karlsruhe, Germany Contact person: Peter Haase E-mail address: pha@aifb.uni-karlsruhe.de

    Universidad Politécnica de Madrid (UPM) Campus de Montegancedo 28660 Boadilla del Monte Spain Contact person: Asunción Gómez Pérez E-mail address: asun@fi.upm.es

    Software AG (SAG) Uhlandstrasse 12 64297 Darmstadt Germany Contact person: Walter Waterfeld E-mail address: walter.waterfeld@softwareag.com

    Intelligent Software Components S.A. (ISOCO) Calle de Pedro de Valdivia 10 28006 Madrid Spain Contact person: Jesús Contreras E-mail address: jcontreras@isoco.com

    Institut ‘Jožef Stefan’ (JSI) Jamova 39 SI-1000 Ljubljana Slovenia Contact person: Marko Grobelnik E-mail address: marko.grobelnik@ijs.si

    Institut National de Recherche en Informatique et en Automatique (INRIA) ZIRST – 655 avenue de l'Europe Montbonnot Saint Martin 38334 Saint-Ismier France Contact person: Jérôme Euzenat E-mail address: jerome.euzenat@inrialpes.fr

    University of Sheffield (USFD) Dept. of Computer Science Regent Court 211 Portobello street S14DP Sheffield United Kingdom Contact person: Hamish Cunningham E-mail address: hamish@dcs.shef.ac.uk

    Universität Koblenz-Landau (UKO-LD) Universitätsstrasse 1 56070 Koblenz Germany Contact person: Steffen Staab E-mail address: staab@uni-koblenz.de

    Consiglio Nazionale delle Ricerche (CNR) Institute of cognitive sciences and technologies Via S. Martino della Battaglia, 44 - 00185 Roma-Lazio, Italy Contact person: Aldo Gangemi E-mail address: aldo.gangemi@istc.cnr.it

    Ontoprise GmbH. (ONTO) Amalienbadstr. 36 (Raumfabrik 29) 76227 Karlsruhe Germany Contact person: Jürgen Angele E-mail address: angele@ontoprise.de

    Food and Agriculture Organization of the United Nations (FAO) Viale delle Terme di Caracalla 1 00100 Rome Italy Contact person: Marta Iglesias E-mail address: marta.iglesias@fao.org

    Atos Origin S.A. (ATOS) Calle de Albarracín, 25 28037 Madrid Spain Contact person: Tomás Pariente Lobo E-mail address: tomas.parientelobo@atosorigin.com

    Laboratorios KIN, S.A. (KIN) C/Ciudad de Granada, 123 08018 Barcelona Spain Contact person: Antonio López E-mail address: alopez@kin.es

  • 7.3.1 : Results from Experiments in Ontology Learning including Evaluation and Recommendation Page 3 of 63

    Work package participants

    The following partners have taken an active part in the work leading to the elaboration of this document, even if they might not have directly contributed writing parts of this document: CNR, FAO, OU, USFD, UKARL

    Change Log

    Version Date Amended by Changes

    0.1 22/07/2007 Alfio Gliozzo (CNR) Document Structure

    0.2 29/08/2007 Alfio Gliozzo (CNR) Editing content from the WIKI

    1.0 01/10/2007 Alfio Gliozzo(CNR) Contributions from USFD, section 4

    1.1 16/10/2007 Alfio Gliozzo (CNR) State of the art RE, Evaluaton LSA RE

    1.2 25/10/2007 Alfio Gliozzo(CNR) Contributions from OU, UKARL

    1.3 27/10/2007 Alfio Gliozzo(CNR) Minor syntactic revisions

    2.0 30/10/2007 Alfio Gliozzo(CNR) All contributions have been included and revised

    2.1 31/10/2007 Caterina Caracciolo Executive summary and Introduction amended

    2.2 2/11/2007 Wim Peters Amendment of section 3

    3.0 3/11/2007 Alfio Gliozzo Similarity induction, recommendation, bibliography, general revision of the

    document

    4.0 5/11/2007 Alfio Gliozzo Evaluation of terminology induction, recommendations.

    4.1 14/11/2007 Caterina Caracciolo Sec. 1.1.4, 1.1.5, Chapter 6 amended.

    5.0 16/11/2007 Alfio Gliozzo Titles of section 3 and 4, minor comments from Caterina. This is the version sent to QA

    6.0 01/12/2007 Alfio Gliozzo Adaptation to the QA requirements: revised conclusion (no rigid lower bound on

    accuracy), spelling, formatting issues, original smooth introduction reintegrated,

    Johanna’s contributions to conclusion integrated

    7.0 04/12/2007 Wim Peters Style and spelling check

    7.1 12/12/2007 Wim Peters QA comments addressed

    7.2 13/12/2007 Alfio Gliozzo Final Revision and consistency check

    2006-2007 © Copyright lies with the respective authors and their institutions.

  • Page 4 of 63 NeOn Integrated Project EU-IST-027595

    Executive Summary

    This document describes the Ontology Learning experiments we performed in order to recommend a set of ontology learning techniques to enhance the ontology engineering process in the fisheries domain in place at FAO. Experiments have been conceived in the wider context of the WorkPackage 7 of the NeOn Project. The main contribution of this document to WP7 is a set of recommendations and best practices to exploit semi-automatic technique to acquire knowledge either from domain specific documents and existing ontologies. The basic criterion for success indication adopted is the reduction of the development time required for the Ontology Engineering process actually in place at FAO. After a brief overview of WP7, the document addresses the following issues: to describe the state of the art in ontology learning and; to set up an evaluation case study in the fisheries domain; to identify suitable techniques which can be profitably applied to fit the user’s requirements; to evaluate such techniques in the use case scenario, and, finally, to provide a set of recommendations indicating the most reliable techniques to be included in the ontology engineering lifecycle.

  • 7.3.1 : Results from Experiments in Ontology Learning including Evaluation and Recommendation Page 5 of 63

    Table of Contents

    1 Introduction .................................................................................................................8 1.1 Fisheries ontologies lifecycle ......................................................................................... 9 1.2 User Requirements......................................................................................................... 11

    1.2.1 Users of the editing support tools ............................................................................................ 11 1.2.2 Tasks to support ...................................................................................................................... 11 1.2.3 Data format .............................................................................................................................. 12 1.2.4 Human assessments ............................................................................................................... 12 1.2.5 Evaluation of the results .......................................................................................................... 12 1.2.6 Ideas for possible experiments................................................................................................ 13 1.2.7 Mapping AGROVOC/FAOTERM............................................................................................. 13 1.2.8 Mapping AGROVOC/CAT ....................................................................................................... 13 1.2.9 Mapping AGROVOC/NAL........................................................................................................ 13 1.2.10 Mapping AGROVOC and ASFA .............................................................................................. 13 1.2.11 Refining AGROVOC relationships........................................................................................... 14 1.2.12 Learning from factsheets about fish stocks ............................................................................. 14 1.2.13 Learning from factsheets about relations among fishing gears, water areas and biological species 14 1.2.14 Learning alternative mono- and multilingual names for fish .................................................... 14 1.2.15 Learning from selected Fisheries related websites or full-text digital repository ..................... 14