A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments

Size: px
Start display at page:

Download "A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments"

Transcription

1 A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments Valentina Ivanova and Patrick Lambrix,, Sweden And The Swedish e-science Research Center

2 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Experiments Conclusions and Future Work Page 2

3 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Experiments Conclusions and Future Work Page 3

4 Defects in Ontologies and Alignments Neither developing ontologies nor aligning them are easy tasks ontologies are not correct/complete mappings between ontologies are not correct/complete the integrated ontology network is not consistent Modeling defects are the focus of our work e.g. wrong and missing relations Page 4

5 Influence of Defects in Structure Ontology-based querying Medical Subject Headings (MeSH) All MeSH Categories Diseases Category Eye Diseases Scleral Diseases Scleritis... return 1363 articles Page 5 5

6 Influence of Defects in Structure Incomplete results from ontology-based queries Medical Subject Headings (MeSH) All MeSH Categories Diseases Category Eye Diseases Scleral Diseases Scleritis... return 1363 articles return 613 articles 55% results are missed! Page 6 6

7 Influence of Defects in Mappings Semantically-enabled applications Ontology A Ontology B All... Diseases Eye Diseases Eye Diseases is equivalent to Eye Disorders All... Body Malfunctions Eye Disorders Send me records about Eye Diseases. Sending records for Eye Disorders. Page 7

8 Influence of Defects in Mappings Ontology A Ontology B All... Diseases Eye Diseases Send me records about Eye Diseases. What is Eye Diseases? All... Body Malfunctions Eye Disorders? Page 8

9 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Experiments Conclusions and Future Work Page 9

10 Taxonomy Networks A taxonomy network consists of a set of taxonomies and sets of mappings between those taxonomies Ontology 1 Ontology 2 Ontology n Page 10

11 Problem Statement Given a taxonomy network, how to DETECT and REPAIR: the missing and wrong relations in each taxonomy AND the missing and wrong mappings between each pair of taxonomies? Page 11

12 Alignment and Debugging Framework Page 12

13 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Detection Validation Repairing Experiments Conclusions and Future Work Page 13

14 Debugging Workflow: Detection of Defects Page 14

15 Debugging Workflow: Detection of Defects - candidate missing relations Two small pieces of MA and NCI-A, both about concept joint, and 3 equivalence mappings A piece of Ontology MA Thing A piece of Ontology NCI-A limb_joint joint Joint hinderlimb_joint forelimb_joint joint of rib Joint_By_Site fibrous_joint hip_joint hand_joint elbow_joint Elbow_Joint Hip_Joint Page 15

16 Debugging Workflow: Detection of Defects - candidate missing mappings Reference 101 Academic Book Part PhdThesis Article MastersThesis Entry Publication Academic Book Part MastersThesis Article Lecture Notes Thesis PhdThesis MastersThesis Article PhdThesis Page 16

17 Alignment Workflow: Detection of Defects Page 17

18 Alignment Workflow: Detection of Defects - candidate missing mappings Matchers Linguistic matchers Matchers employing auxiliary information Combination and filtering of similarity values Mapping Suggestions are Candidate Missing Mappings Page 18

19 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Detection Validation Repairing Experiments Conclusions and Future Work Page 19

20 Alignment and Debugging Workflow: Validation Page 20

21 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Detection Validation Repairing Experiments Conclusions and Future Work Page 21

22 Alignment and Debugging Workflow: Repairing Page 22

23 Alignment and Debugging Workflow: Example repairing missing relations Structural Repair 1 joint hip_joint elbow_joint Structural Repair 2 joint hip_joint hand_joint elbow_joint Structural Repair 3 Structural Repair 4 joint joint limb_joint limb_joint forelimb_joint Question: How can we recognize the most interesting repairing approaches for a domain expert? preferences. hinderlimb_joint limb_joint Thing forelimb_joint joint joint of rib fibrous_joint hip_joint hand_joint elbow_joint Page 23

24 Alignment and Debugging Workflow: Repairing Information-based preference Prefer to add more informative relations Structural Repair 3 Structural Repair 1 joint joint limb_joint hip_joint elbow_joint (limb_joint, joint) is more informative than (hip_joint, joint) and (elbow_joint, joint) hinderlimb_joint Thing limb_joint joint forelimb_joint joint of rib hip_joint hand_joint elbow_joint fibrous_joint Page 24

25 Alignment and Debugging Workflow: Repair missing relations and mappings For missing relation (hip_joint, joint), we generate two sets of concepts representing 3 4 repairing actions Thing Target Set limb_joint joint Source Set hinderlimb_joint forelimb_joint joint of rib fibrous_joint hip_joint hand_joint elbow_joint Page 25

26 Alignment and Debugging Workflow: Repair wrong relations and mappings Find explanations (justifications) Remove part of the explanation Ontology 2 Ontology 3 D C A Ontology 1 B Page 26

27 Alignment and Debugging Workflow: Repairing Ranking Page 27

28 Alignment and Debugging Workflow: Repairing Recommendation Page 28

29 Alignment and Debugging Workflow: Repairing Executing repairing actions Page 29

30 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Experiments Conclusions and Future Work Page 30

31 Experiments Setup Ontologies and alignment from OAEI 2011 Anatomy track Ontology #Concepts #Relations MA NCI-A Alignment MA - NCI-A 1516 #Equivalence mappings Page 31

32 Experiment 1 Complete debugging and alignment session Part A candidate missing mappings missing / or wrong / or repair missing / / / derivable / more informative repair missing relations Alignment /39 59/ /20/8/6/5 - AMA NCI-A Part B candidate missing relations all/non-redundant missing wrong repair missing self / more informative / other repair wrong removed Alignment and 1 AMA 410/ /57/23 30 NCI-A 355/ /13/26 17 Page 32

33 Experiment 2 Debugging leads to alignments with higher quality I run II run / or Alignment 1286/ /28(5)/6/5 / or (more informative) / derivable / relations Page 33

34 Experiment 3 Extending the alignment leads to discovering more possible defects Ontology I run candidate missing relations all/non-redundant MA 496/ /357 NCI-A 365/ /234 II run candidate missing relations all/non-redundant Page 34

35 Outline Defects in Ontologies and Alignments Integrated Ontology Alignment and Debugging Framework Experiments Conclusions and Future Work Page 35

36 Conclusions The first integrated Ontology Alignment and Debugging Framework Alignment Contributions to Debugging Calculates possible mappings Provides/extends alignments Debugging Contributions to Alignment Provides repairing algorithms not available in the alignment systems Repairs the structure and the mappings Page 36

37 Future Work Explore further the interactions between ontology alignment and debugging Include structure-based matchers Include partial-alignment-based filtering and preprocessing strategies Extend the approach to ontologies represented in more expressive languages Page 37

38 Demonstration OAEI 2011 Anatomy track Page 38

39 Thank you! Questions? Page 39

Get my pizza right: Repairing missing is-a relations in ALC ontologies

Get my pizza right: Repairing missing is-a relations in ALC ontologies Get my pizza right: Repairing missing is-a relations in ALC ontologies Patrick Lambrix, Zlatan Dragisic and Valentina Ivanova Linköping University Sweden 1 Introduction Developing ontologies is not an

More information

A system for aligning taxonomies and debugging taxonomies and their alignments

A system for aligning taxonomies and debugging taxonomies and their alignments A system for aligning taxonomies and debugging taxonomies and their alignments Valentina Ivanova and Patrick Lambrix Book Chapter Original Publication: N.B.: When citing this work, cite the original article.

More information

Debugging the missing is-a structure within taxonomies networked by partial reference alignments

Debugging the missing is-a structure within taxonomies networked by partial reference alignments Debugging the missing is-a structure within taxonomies networked by partial reference alignments Patrick Lambrix and Qiang Liu Linköping University Post Print N.B.: When citing this work, cite the original

More information

A unified approach for aligning taxonomies and debugging taxonomies and their alignments - Extended version

A unified approach for aligning taxonomies and debugging taxonomies and their alignments - Extended version A unified approach for aligning taxonomies and debugging taxonomies and their alignments - Extended version Valentina Ivanova and Patrick Lambrix Department of Computer and Information Science and the

More information

Integration of Ontology Alignment and Ontology Debugging for Taxonomy Networks

Integration of Ontology Alignment and Ontology Debugging for Taxonomy Networks Linköping Studies in Science and Technology. Thesis No. 1644 Licentiate Thesis Integration of Ontology Alignment and Ontology Debugging for Taxonomy Networks by Valentina Ivanova Department of Computer

More information

A Session-based Ontology Alignment Approach for Aligning Large Ontologies

A Session-based Ontology Alignment Approach for Aligning Large Ontologies Undefined 1 (2009) 1 5 1 IOS Press A Session-based Ontology Alignment Approach for Aligning Large Ontologies Editor(s): Name Surname, University, Country Solicited review(s): Name Surname, University,

More information

A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments

A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments Valentina Ivanova and Patrick Lambrix Department of Computer and Information Science and the Swedish e-science Research

More information

A method for recommending ontology alignment strategies

A method for recommending ontology alignment strategies A method for recommending ontology alignment strategies He Tan and Patrick Lambrix Department of Computer and Information Science Linköpings universitet, Sweden This is a pre-print version of the article

More information

User validation in ontology alignment (Extended version)

User validation in ontology alignment (Extended version) User validation in ontology alignment (Extended version) Zlatan Dragisic 1, Valentina Ivanova 1, Patrick Lambrix 1, Daniel Faria 2, Ernesto Jiménez-Ruiz 3, and Catia Pesquita 4 1 Department of Computer

More information

Lily: Ontology Alignment Results for OAEI 2009

Lily: Ontology Alignment Results for OAEI 2009 Lily: Ontology Alignment Results for OAEI 2009 Peng Wang 1, Baowen Xu 2,3 1 College of Software Engineering, Southeast University, China 2 State Key Laboratory for Novel Software Technology, Nanjing University,

More information

AROMA results for OAEI 2009

AROMA results for OAEI 2009 AROMA results for OAEI 2009 Jérôme David 1 Université Pierre-Mendès-France, Grenoble Laboratoire d Informatique de Grenoble INRIA Rhône-Alpes, Montbonnot Saint-Martin, France Jerome.David-at-inrialpes.fr

More information

POMap results for OAEI 2017

POMap results for OAEI 2017 POMap results for OAEI 2017 Amir Laadhar 1, Faiza Ghozzi 2, Imen Megdiche 1, Franck Ravat 1, Olivier Teste 1, and Faiez Gargouri 2 1 Paul Sabatier University, IRIT (CNRS/UMR 5505) 118 Route de Narbonne

More information

Ontology alignment. Evaluation of ontology alignment strategies. Recommending ontology alignment. Using PRA in ontology alignment

Ontology alignment. Evaluation of ontology alignment strategies. Recommending ontology alignment. Using PRA in ontology alignment Ontology Alignment Ontology Alignment Ontology alignment Ontology alignment strategies Evaluation of ontology alignment strategies Recommending ontology alignment strategies Using PRA in ontology alignment

More information

Debugging Taxonomies and their Alignments: the ToxOntology - MeSH Use Case

Debugging Taxonomies and their Alignments: the ToxOntology - MeSH Use Case Debugging Taxonomies and their Alignments: the ToxOntology - MeSH Use Case Valentina Ivanova, Jonas Laurila Bergman, Ulf Hammerling and Patrick Lambrix Conference Publication Original Publication: N.B.:

More information

Alignment Results of SOBOM for OAEI 2009

Alignment Results of SOBOM for OAEI 2009 Alignment Results of SBM for AEI 2009 Peigang Xu, Haijun Tao, Tianyi Zang, Yadong, Wang School of Computer Science and Technology Harbin Institute of Technology, Harbin, China xpg0312@hotmail.com, hjtao.hit@gmail.com,

More information

The Design and Implementation of Optimization Approaches for Large Scale Ontology Alignment in SAMBO

The Design and Implementation of Optimization Approaches for Large Scale Ontology Alignment in SAMBO Linköping University Department of Computer Science Master thesis, 30 ECTS Datateknik 2017 LiTH-IDA/ERASMUS-A--17/001--SE The Design and Implementation of Optimization Approaches for Large Scale Ontology

More information

YAM++ Results for OAEI 2013

YAM++ Results for OAEI 2013 YAM++ Results for OAEI 2013 DuyHoa Ngo, Zohra Bellahsene University Montpellier 2, LIRMM {duyhoa.ngo, bella}@lirmm.fr Abstract. In this paper, we briefly present the new YAM++ 2013 version and its results

More information

ALIN Results for OAEI 2016

ALIN Results for OAEI 2016 ALIN Results for OAEI 2016 Jomar da Silva, Fernanda Araujo Baião and Kate Revoredo Department of Applied Informatics Federal University of the State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil {jomar.silva,fernanda.baiao,katerevoredo}@uniriotec.br

More information

Ontology Matching with CIDER: Evaluation Report for the OAEI 2008

Ontology Matching with CIDER: Evaluation Report for the OAEI 2008 Ontology Matching with CIDER: Evaluation Report for the OAEI 2008 Jorge Gracia, Eduardo Mena IIS Department, University of Zaragoza, Spain {jogracia,emena}@unizar.es Abstract. Ontology matching, the task

More information

AML Results for OAEI 2015

AML Results for OAEI 2015 AML Results for OAEI 2015 Daniel Faria 1, Catarina Martins 2, Amruta Nanavaty 4, Daniela Oliveira 2, Booma Sowkarthiga 4, Aynaz Taheri 4, Catia Pesquita 2,3, Francisco M. Couto 2,3, and Isabel F. Cruz

More information

WeSeE-Match Results for OEAI 2012

WeSeE-Match Results for OEAI 2012 WeSeE-Match Results for OEAI 2012 Heiko Paulheim Technische Universität Darmstadt paulheim@ke.tu-darmstadt.de Abstract. WeSeE-Match is a simple, element-based ontology matching tool. Its basic technique

More information

From Dynamic to Unbalanced Ontology Matching

From Dynamic to Unbalanced Ontology Matching From Dynamic to Unbalanced Ontology Matching Jie Tang Knowledge Engineering Group, Dept. of Computer Science and Technology Tsinghua University May 22 th 2009 1 What is Ontology Matching? 本体 O 本体 2 1 O

More information

AML Results for OAEI 2015

AML Results for OAEI 2015 AML Results for OAEI 2015 Daniel Faria 1, Catarina Martins 2, Amruta Nanavaty 3, Daniela Oliveira 2, Booma S. Balasubramani 3, Aynaz Taheri 3, Catia Pesquita 2, Francisco M. Couto 2, and Isabel F. Cruz

More information

Building an effective and efficient background knowledge resource to enhance ontology matching

Building an effective and efficient background knowledge resource to enhance ontology matching Building an effective and efficient background knowledge resource to enhance ontology matching Amina Annane 1,2, Zohra Bellahsene 2, Faiçal Azouaou 1, Clement Jonquet 2,3 1 Ecole nationale Supérieure d

More information

SEMANTIC SUPPORT FOR MEDICAL IMAGE SEARCH AND RETRIEVAL

SEMANTIC SUPPORT FOR MEDICAL IMAGE SEARCH AND RETRIEVAL SEMANTIC SUPPORT FOR MEDICAL IMAGE SEARCH AND RETRIEVAL Wang Wei, Payam M. Barnaghi School of Computer Science and Information Technology The University of Nottingham Malaysia Campus {Kcy3ww, payam.barnaghi}@nottingham.edu.my

More information

Evaluation of ontology matching

Evaluation of ontology matching Evaluation of ontology matching Jérôme Euzenat (INRIA Rhône-Alpes & LIG) + work within Knowledge web 2.2 and esp. Malgorzata Mochol (FU Berlin) April 19, 2007 Evaluation of ontology matching 1 / 44 Outline

More information

Using AgreementMaker to Align Ontologies for OAEI 2010

Using AgreementMaker to Align Ontologies for OAEI 2010 Using AgreementMaker to Align Ontologies for OAEI 2010 Isabel F. Cruz, Cosmin Stroe, Michele Caci, Federico Caimi, Matteo Palmonari, Flavio Palandri Antonelli, Ulas C. Keles ADVIS Lab, Department of Computer

More information

ALIN Results for OAEI 2017

ALIN Results for OAEI 2017 ALIN Results for OAEI 2017 Jomar da Silva 1, Fernanda Araujo Baião 1, and Kate Revoredo 1 Graduated Program in Informatics, Department of Applied Informatics Federal University of the State of Rio de Janeiro

More information

FCA-Map Results for OAEI 2016

FCA-Map Results for OAEI 2016 FCA-Map Results for OAEI 2016 Mengyi Zhao 1 and Songmao Zhang 2 1,2 Institute of Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China 1 myzhao@amss.ac.cn,

More information

NCI Thesaurus, managing towards an ontology

NCI Thesaurus, managing towards an ontology NCI Thesaurus, managing towards an ontology CENDI/NKOS Workshop October 22, 2009 Gilberto Fragoso Outline Background on EVS The NCI Thesaurus BiomedGT Editing Plug-in for Protege Semantic Media Wiki supports

More information

Effective Mapping Composition for Biomedical Ontologies

Effective Mapping Composition for Biomedical Ontologies Effective Mapping Composition for Biomedical Ontologies Michael Hartung 1,2, Anika Gross 1,2, Toralf Kirsten 2, and Erhard Rahm 1,2 1 Department of Computer Science, University of Leipzig 2 Interdisciplinary

More information

Precise Medication Extraction using Agile Text Mining

Precise Medication Extraction using Agile Text Mining Precise Medication Extraction using Agile Text Mining Chaitanya Shivade *, James Cormack, David Milward * The Ohio State University, Columbus, Ohio, USA Linguamatics Ltd, Cambridge, UK shivade@cse.ohio-state.edu,

More information

Results of NBJLM for OAEI 2010

Results of NBJLM for OAEI 2010 Results of NBJLM for OAEI 2010 Song Wang 1,2, Gang Wang 1 and Xiaoguang Liu 1 1 College of Information Technical Science, Nankai University Nankai-Baidu Joint Lab, Weijin Road 94, Tianjin, China 2 Military

More information

Prototyping a Biomedical Ontology Recommender Service

Prototyping a Biomedical Ontology Recommender Service Prototyping a Biomedical Ontology Recommender Service Clement Jonquet Nigam H. Shah Mark A. Musen jonquet@stanford.edu 1 Ontologies & data & annota@ons (1/2) Hard for biomedical researchers to find the

More information

SAMBO - A System for Aligning and Merging Biomedical Ontologies

SAMBO - A System for Aligning and Merging Biomedical Ontologies SAMBO - A System for Aligning and Merging Biomedical Ontologies Patrick Lambrix and He Tan Department of Computer and Information Science Linköpings universitet, Sweden {patla,hetan}@ida.liu.se Abstract

More information

Renae Barger, Executive Director NN/LM Middle Atlantic Region

Renae Barger, Executive Director NN/LM Middle Atlantic Region Renae Barger, Executive Director NN/LM Middle Atlantic Region rbarger@pitt.edu http://nnlm.gov/mar/ DANJ Meeting, November 4, 2011 Advanced PubMed (20 min) General Information PubMed Citation Types Automatic

More information

AOT / AOTL Results for OAEI 2014

AOT / AOTL Results for OAEI 2014 AOT / AOTL Results for OAEI 2014 Abderrahmane Khiat 1, Moussa Benaissa 1 1 LITIO Lab, University of Oran, BP 1524 El-Mnaouar Oran, Algeria abderrahmane_khiat@yahoo.com moussabenaissa@yahoo.fr Abstract.

More information

The Results of Falcon-AO in the OAEI 2006 Campaign

The Results of Falcon-AO in the OAEI 2006 Campaign The Results of Falcon-AO in the OAEI 2006 Campaign Wei Hu, Gong Cheng, Dongdong Zheng, Xinyu Zhong, and Yuzhong Qu School of Computer Science and Engineering, Southeast University, Nanjing 210096, P. R.

More information

LPHOM results for OAEI 2016

LPHOM results for OAEI 2016 LPHOM results for OAEI 2016 Imen Megdiche, Olivier Teste, and Cassia Trojahn Institut de Recherche en Informatique de Toulouse (UMR 5505), Toulouse, France {Imen.Megdiche, Olivier.Teste, Cassia.Trojahn}@irit.fr

More information

The National Cancer Institute's Thésaurus and Ontology

The National Cancer Institute's Thésaurus and Ontology The National Cancer Institute's Thésaurus and Ontology Jennifer Golbeck 1, Gilberto Fragoso 2, Frank Hartel 2, Jim Hendler 1, Jim Oberthaler 2, Bijan Parsia 1 1 University of Maryland, College Park 2 National

More information

Linking SharePoint Documents with Structured Data. Towards Unified Views of Business-critical Information. Andreas Blumauer Director PoolParty Ltd, UK

Linking SharePoint Documents with Structured Data. Towards Unified Views of Business-critical Information. Andreas Blumauer Director PoolParty Ltd, UK Linking SharePoint Documents with Structured Data Towards Unified Views of Business-critical Information Andreas Blumauer Director PoolParty Ltd, UK 2 Andreas Blumauer serves customers Semantic Web Company

More information

CHECKPOINT CATALYST QUICK REFERENCE CARD

CHECKPOINT CATALYST QUICK REFERENCE CARD CHECKPOINT CATALYST QUICK REFERENCE CARD Logging in to Checkpoint 1. Launch your browser and enter the Checkpoint address in the browser location bar. http://checkpoint.thomsonreuters.com The Checkpoint

More information

Juggling the Jigsaw Towards Automated Problem Inference from Network Trouble Tickets

Juggling the Jigsaw Towards Automated Problem Inference from Network Trouble Tickets Juggling the Jigsaw Towards Automated Problem Inference from Network Trouble Tickets Rahul Potharaju (Purdue University) Navendu Jain (Microsoft Research) Cristina Nita-Rotaru (Purdue University) April

More information

General Architecture of HIVE/WARE

General Architecture of HIVE/WARE General Architecture of HIVE/WARE 1. Layman s Description One of the largest paradigm shifts in writing took place when we moved from the use of the typewriter to the use of the computer. Just as the typewriter

More information

WEB SEARCH, FILTERING, AND TEXT MINING: TECHNOLOGY FOR A NEW ERA OF INFORMATION ACCESS

WEB SEARCH, FILTERING, AND TEXT MINING: TECHNOLOGY FOR A NEW ERA OF INFORMATION ACCESS 1 WEB SEARCH, FILTERING, AND TEXT MINING: TECHNOLOGY FOR A NEW ERA OF INFORMATION ACCESS BRUCE CROFT NSF Center for Intelligent Information Retrieval, Computer Science Department, University of Massachusetts,

More information

Knowledge Representations. How else can we represent knowledge in addition to formal logic?

Knowledge Representations. How else can we represent knowledge in addition to formal logic? Knowledge Representations How else can we represent knowledge in addition to formal logic? 1 Common Knowledge Representations Formal Logic Production Rules Semantic Nets Schemata and Frames 2 Production

More information

DSSim-ontology mapping with uncertainty

DSSim-ontology mapping with uncertainty DSSim-ontology mapping with uncertainty Miklos Nagy, Maria Vargas-Vera, Enrico Motta Knowledge Media Institute (Kmi) The Open University Walton Hall, Milton Keynes, MK7 6AA, United Kingdom mn2336@student.open.ac.uk;{m.vargas-vera,e.motta}@open.ac.uk

More information

Semantic Interoperability. Being serious about the Semantic Web

Semantic Interoperability. Being serious about the Semantic Web Semantic Interoperability Jérôme Euzenat INRIA & LIG France Natasha Noy Stanford University USA 1 Being serious about the Semantic Web It is not one person s ontology It is not several people s common

More information

PRIOR System: Results for OAEI 2006

PRIOR System: Results for OAEI 2006 PRIOR System: Results for OAEI 2006 Ming Mao, Yefei Peng University of Pittsburgh, Pittsburgh, PA, USA {mingmao,ypeng}@mail.sis.pitt.edu Abstract. This paper summarizes the results of PRIOR system, which

More information

Expert Test Manager: Operational Module Course Outline

Expert Test Manager: Operational Module Course Outline Expert Test Manager: Operational Module Course Outline General Description A truly successful test organization not only has solid, relevant test objectives and a test strategy, but it also has the means

More information

Logik für Informatiker Logic for computer scientists

Logik für Informatiker Logic for computer scientists Logik für Informatiker for computer scientists WiSe 2011/12 Overview Motivation Why is logic needed in computer science? The LPL book and software Scheinkriterien Why is logic needed in computer science?

More information

Kandidat 113. INFO310 0 Advanced Topics in Model-Based Information Systems. Oppgaver Oppgavetype Vurdering Status

Kandidat 113. INFO310 0 Advanced Topics in Model-Based Information Systems. Oppgaver Oppgavetype Vurdering Status INFO310 0 Advanced Topics in Model-Based Information Systems Kandidat 113 Oppgaver Oppgavetype Vurdering Status Introduction Dokument Automatisk poengsum Levert Plagiarism and Declaration Dokument Automatisk

More information

Matching Anatomy Ontologies

Matching Anatomy Ontologies Matching Anatomy Ontologies - Quality and Performance Anika Groß Interdisciplinary Centre for Bioinformatics http://www.izbi.uni-leipzig.de Database Group Leipzig http://dbs dbs.uni-leipzig.de Leipzig,

More information

SEBD 2011, Maratea, Italy June 28, 2011 Database Group 2011

SEBD 2011, Maratea, Italy June 28, 2011 Database Group 2011 http://dbs.uni-leipzig.de http://wdilab.uni-leipzig.de SEBD 2011, Maratea, Italy June 28, 2011 Database Group 2011 Database Group 2011 Many ontologies for different areas, e.g. Molecular Biology, Anatomy,

More information

RiMOM Results for OAEI 2009

RiMOM Results for OAEI 2009 RiMOM Results for OAEI 2009 Xiao Zhang, Qian Zhong, Feng Shi, Juanzi Li and Jie Tang Department of Computer Science and Technology, Tsinghua University, Beijing, China zhangxiao,zhongqian,shifeng,ljz,tangjie@keg.cs.tsinghua.edu.cn

More information

Natasha Noy Stanford University USA

Natasha Noy Stanford University USA Semantic Interoperability Jérôme Euzenat INRIA & LIG France Natasha Noy Stanford University USA Semantic Interoperability Jérôme Euzenat INRIA & LIG France Natasha Noy Stanford University US Being serious

More information

Powering Knowledge Discovery. Insights from big data with Linguamatics I2E

Powering Knowledge Discovery. Insights from big data with Linguamatics I2E Powering Knowledge Discovery Insights from big data with Linguamatics I2E Gain actionable insights from unstructured data The world now generates an overwhelming amount of data, most of it written in natural

More information

Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach

Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach Outline Objective Approach Experiment Conclusion and Future work Objective Automatically establish linguistic indexing of pictures

More information

What you have learned so far. Interoperability. Ontology heterogeneity. Being serious about the semantic web

What you have learned so far. Interoperability. Ontology heterogeneity. Being serious about the semantic web What you have learned so far Interoperability Introduction to the Semantic Web Tutorial at ISWC 2010 Jérôme Euzenat Data can be expressed in RDF Linked through URIs Modelled with OWL ontologies & Retrieved

More information

Industrial Approach: Obfuscating Transformations

Industrial Approach: Obfuscating Transformations Industrial Approach: Obfuscating Transformations Yury Lifshits Steklov Institute of Mathematics, St.Petersburg, Russia yura@logic.pdmi.ras.ru Tartu University 17/03/2006 Yury Lifshits (Steklov Inst. of

More information

0.1 Upper ontologies and ontology matching

0.1 Upper ontologies and ontology matching 0.1 Upper ontologies and ontology matching 0.1.1 Upper ontologies Basics What are upper ontologies? 0.1 Upper ontologies and ontology matching Upper ontologies (sometimes also called top-level or foundational

More information

MarkLogic. A Modern Data Platform To Support Your Critical Path COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.

MarkLogic. A Modern Data Platform To Support Your Critical Path COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. MarkLogic A Modern Data Platform To Support Your Critical Path SLIDE: 2 Inception Pre- Post- Distribution Archive Taxonomies Semantics Technical Descriptive Customers Usage SLIDE: 4 Inception Pre- Post-

More information

Your Trusted Partner for Expert Content. TempestaMedia.com

Your Trusted Partner for Expert Content. TempestaMedia.com Your Trusted Partner for Expert Content Content Marketing Platform Overview A leading scalable content marketing platform at your fingertips. Easy, intuitive interface No training needed Platform manages

More information

Security Professional Education Development (SPēD) DoD Personnel Security Adjudicator Professional Certification (APC) Program Maintenance Procedures

Security Professional Education Development (SPēD) DoD Personnel Security Adjudicator Professional Certification (APC) Program Maintenance Procedures Security Professional Education Development (SPēD) DoD Personnel Security Adjudicator Professional Certification (APC) Program Maintenance Procedures DATE 4 November 2014 SUBJECT: Maintenance and Renewal

More information

Balanced Large Scale Knowledge Matching Using LSH Forest

Balanced Large Scale Knowledge Matching Using LSH Forest Balanced Large Scale Knowledge Matching Using LSH Forest 1st International KEYSTONE Conference IKC 2015 Coimbra Portugal, 8-9 September 2015 Michael Cochez * Vagan Terziyan * Vadim Ermolayev ** * Industrial

More information

The Plurality-with-Elimination Method

The Plurality-with-Elimination Method The Plurality-with-Elimination Method Lecture 9 Section 1.4 Robb T. Koether Hampden-Sydney College Fri, Sep 8, 2017 Robb T. Koether (Hampden-Sydney College) The Plurality-with-Elimination Method Fri, Sep

More information

Advanced Logical Thinking Skills (2)

Advanced Logical Thinking Skills (2) Mei-Writing Academic Writing II(A) - Lecture 3 November 12, 2013 Advanced Logical Thinking Skills (2) A Logical Explanation of Causal Relation by Paul W. L. Lai Group Discussion: Think about your thesis

More information

ITIL V3 SERVICE DEFINITION DOWNLOAD

ITIL V3 SERVICE DEFINITION DOWNLOAD 23 March, 2018 ITIL V3 SERVICE DEFINITION DOWNLOAD Document Filetype: PDF 394.8 KB 0 ITIL V3 SERVICE DEFINITION DOWNLOAD In ITIL v3, which most service desk software today is based on, incidents come in

More information

Working with grids are an inherent part of the craft of designing. FUNCTIONS OF A GRID

Working with grids are an inherent part of the craft of designing. FUNCTIONS OF A GRID GRID SYSTEMS Working with grids are an inherent part of the craft of designing. FUNCTIONS OF A GRID Achieves unity amongst all of pieces of a design. Introduces systemic order to a space before anything

More information

From concepts to ontologies in metadata: a happy explication of a cognitive scenario for discoverability

From concepts to ontologies in metadata: a happy explication of a cognitive scenario for discoverability From concepts to ontologies in metadata: a happy explication of a cognitive scenario for discoverability Raisa IIVONEN, Päivi LIPSANEN, Ari MUHONEN, Esko SIIRALA Viikki Campus Library, University of Helsinki,

More information

Towards an Ontology Visualization Tool for Indexing DICOM Structured Reporting Documents

Towards an Ontology Visualization Tool for Indexing DICOM Structured Reporting Documents Towards an Ontology Visualization Tool for Indexing DICOM Structured Reporting Documents Sonia MHIRI sonia.mhiri@math-info.univ-paris5.fr Sylvie DESPRES sylvie.despres@lipn.univ-paris13.fr CRIP5 University

More information

Target-driven merging of Taxonomies

Target-driven merging of Taxonomies Target-driven merging of Taxonomies Salvatore Raunich, Erhard Rahm University of Leipzig Germany {raunich, rahm}@informatik.uni-leipzig.de Abstract The proliferation of ontologies and taxonomies in many

More information

Measuring the Failure Rate in Service-Oriented Architecture Using Fuzzy Logic

Measuring the Failure Rate in Service-Oriented Architecture Using Fuzzy Logic Journal of mathematics and computer Science 7 (2013) 160-170 Measuring the Failure Rate in Service-Oriented Architecture Using Fuzzy Logic Article history: Received March 2013 Accepted Apri 2013 Available

More information

INTELLIGENT SYSTEMS OVER THE INTERNET

INTELLIGENT SYSTEMS OVER THE INTERNET INTELLIGENT SYSTEMS OVER THE INTERNET Web-Based Intelligent Systems Intelligent systems use a Web-based architecture and friendly user interface Web-based intelligent systems: Use the Web as a platform

More information

Learning outcomes. On successful completion of this unit you will: 1. Understand data models and database technologies.

Learning outcomes. On successful completion of this unit you will: 1. Understand data models and database technologies. 2015-2016 Phil Smith Learning outcomes On successful completion of this unit you will: 1. Understand data models and database technologies. (Assignment 1) Recap and setting the scene Before we get to Normalisation

More information

YAM++ : A multi-strategy based approach for Ontology matching task

YAM++ : A multi-strategy based approach for Ontology matching task YAM++ : A multi-strategy based approach for Ontology matching task Duy Hoa Ngo, Zohra Bellahsene To cite this version: Duy Hoa Ngo, Zohra Bellahsene. YAM++ : A multi-strategy based approach for Ontology

More information

Domain-specific Concept-based Information Retrieval System

Domain-specific Concept-based Information Retrieval System Domain-specific Concept-based Information Retrieval System L. Shen 1, Y. K. Lim 1, H. T. Loh 2 1 Design Technology Institute Ltd, National University of Singapore, Singapore 2 Department of Mechanical

More information

OAEI 2017 results of KEPLER

OAEI 2017 results of KEPLER OAEI 2017 results of KEPLER Marouen KACHROUDI 1, Gayo DIALLO 2, and Sadok BEN YAHIA 1 1 Université de Tunis El Manar, Faculté des Sciences de Tunis Informatique Programmation Algorithmique et Heuristique

More information

Languages and tools for building and using ontologies. Simon Jupp, James Malone

Languages and tools for building and using ontologies. Simon Jupp, James Malone An overview of ontology technology Languages and tools for building and using ontologies Simon Jupp, James Malone jupp@ebi.ac.uk, malone@ebi.ac.uk Outline Languages OWL and OBO classes, individuals, relations,

More information

Keywords Data alignment, Data annotation, Web database, Search Result Record

Keywords Data alignment, Data annotation, Web database, Search Result Record Volume 5, Issue 8, August 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Annotating Web

More information

Apache Spark: A Literature Review. Presenter: Aaron Sarson

Apache Spark: A Literature Review. Presenter: Aaron Sarson Apache Spark: A Literature Review Presenter: Aaron Sarson Outline Introduction to Spark Problem to be addressed Proposed Approach Ø Research Questions Contributions Results Ø RQ1, RQ2, RQ3 Conclusion &

More information

Question Answering Approach Using a WordNet-based Answer Type Taxonomy

Question Answering Approach Using a WordNet-based Answer Type Taxonomy Question Answering Approach Using a WordNet-based Answer Type Taxonomy Seung-Hoon Na, In-Su Kang, Sang-Yool Lee, Jong-Hyeok Lee Department of Computer Science and Engineering, Electrical and Computer Engineering

More information

Semantic Web. Ontology Alignment. Morteza Amini. Sharif University of Technology Fall 95-96

Semantic Web. Ontology Alignment. Morteza Amini. Sharif University of Technology Fall 95-96 ه عا ی Semantic Web Ontology Alignment Morteza Amini Sharif University of Technology Fall 95-96 Outline The Problem of Ontologies Ontology Heterogeneity Ontology Alignment Overall Process Similarity (Matching)

More information

ODGOMS - Results for OAEI 2013 *

ODGOMS - Results for OAEI 2013 * ODGOMS - Results for OAEI 2013 * I-Hong Kuo 1,2, Tai-Ting Wu 1,3 1 Industrial Technology Research Institute, Taiwan 2 yihonguo@itri.org.tw 3 taitingwu@itri.org.tw Abstract. ODGOMS is a multi-strategy ontology

More information

Advanced Features of Cybrary Users Guide

Advanced Features of Cybrary Users Guide Page 1 of 22 Advanced Features of Cybrary Users Guide Accessing Cybrary Cybrary is the library s collection of electronic databases. You can search for a variety of articles and books in multiple databases

More information

Urban Scene Segmentation, Recognition and Remodeling. Part III. Jinglu Wang 11/24/2016 ACCV 2016 TUTORIAL

Urban Scene Segmentation, Recognition and Remodeling. Part III. Jinglu Wang 11/24/2016 ACCV 2016 TUTORIAL Part III Jinglu Wang Urban Scene Segmentation, Recognition and Remodeling 102 Outline Introduction Related work Approaches Conclusion and future work o o - - ) 11/7/16 103 Introduction Motivation Motivation

More information

Acquiring Experience with Ontology and Vocabularies

Acquiring Experience with Ontology and Vocabularies Acquiring Experience with Ontology and Vocabularies Walt Melo Risa Mayan Jean Stanford The author's affiliation with The MITRE Corporation is provided for identification purposes only, and is not intended

More information

Searching for Expertise

Searching for Expertise Searching for Expertise Toine Bogers Royal School of Library & Information Science University of Copenhagen IVA/CCC seminar April 24, 2013 Outline Introduction Expertise databases Expertise seeking tasks

More information

A Design Rationale Representation for Model-Based Designs in Software Engineering

A Design Rationale Representation for Model-Based Designs in Software Engineering A Design Rationale Representation for Model-Based Designs in Software Engineering Adriana Pereira de Medeiros, Daniel Schwabe, and Bruno Feijó Dept. of Informatics, PUC-Rio, Rua Marquês de São Vicente

More information

CourseWorks Syllabus Guide for Instructors

CourseWorks Syllabus Guide for Instructors CourseWorks Syllabus Guide for Instructors Note: In order to setup your CourseWorks syllabus, the Syllabus section has to be enabled in your course site. See the CourseWorks Settings Guide to learn how

More information

RiMOM Results for OAEI 2010

RiMOM Results for OAEI 2010 RiMOM Results for OAEI 2010 Zhichun Wang 1, Xiao Zhang 1, Lei Hou 1, Yue Zhao 2, Juanzi Li 1, Yu Qi 3, Jie Tang 1 1 Tsinghua University, Beijing, China {zcwang,zhangxiao,greener,ljz,tangjie}@keg.cs.tsinghua.edu.cn

More information

2 Which Methodology for Building Ontologies? 2.1 A Work Still in Progress Many approaches (for a complete survey, the reader can refer to the OntoWeb

2 Which Methodology for Building Ontologies? 2.1 A Work Still in Progress Many approaches (for a complete survey, the reader can refer to the OntoWeb Semantic Commitment for Designing Ontologies: A Proposal Bruno Bachimont 1,Antoine Isaac 1;2, Raphaël Troncy 1;3 1 Institut National de l'audiovisuel, Direction de la Recherche 4, Av. de l'europe - 94366

More information

Tansu Alpcan C. Bauckhage S. Agarwal

Tansu Alpcan C. Bauckhage S. Agarwal 1 / 16 C. Bauckhage S. Agarwal Deutsche Telekom Laboratories GBR 2007 2 / 16 Outline 3 / 16 Overview A novel expert peering system for community-based information exchange A graph-based scheme consisting

More information

CS Exam 1 Review Suggestions - Spring 2017

CS Exam 1 Review Suggestions - Spring 2017 CS 328 - Exam 1 Review Suggestions p. 1 CS 328 - Exam 1 Review Suggestions - Spring 2017 last modified: 2017-02-16 You are responsible for material covered in class sessions and homeworks; but, here's

More information

Ontologies. COMP 210: Lecture 26: Ontologies. Ontologies. Ontologies. Winston s ZOOKEEPER ZOOKEEPER 4/23/2010

Ontologies. COMP 210: Lecture 26: Ontologies. Ontologies. Ontologies. Winston s ZOOKEEPER ZOOKEEPER 4/23/2010 COMP 210: Lecture 26: Trevor Bench-Capon Room 215, Ashton Building http://www.csc.liv.ac.uk/~tbc/comp210 A problem we identified with rule based expert systems, was the lack of rigorous semantics for their

More information

Putting ontology alignment in context: Usage scenarios, deployment and evaluation in a library case

Putting ontology alignment in context: Usage scenarios, deployment and evaluation in a library case : Usage scenarios, deployment and evaluation in a library case Antoine Isaac Henk Matthezing Lourens van der Meij Stefan Schlobach Shenghui Wang Claus Zinn Introduction Alignment technology can help solving

More information

Search Engine Architecture. Hongning Wang

Search Engine Architecture. Hongning Wang Search Engine Architecture Hongning Wang CS@UVa CS@UVa CS4501: Information Retrieval 2 Document Analyzer Classical search engine architecture The Anatomy of a Large-Scale Hypertextual Web Search Engine

More information

Business Process Modelling & Semantic Web Services

Business Process Modelling & Semantic Web Services Business Process Modelling & Semantic Web Services Charlie Abela Department of Artificial Intelligence charlie.abela@um.edu.mt Last Lecture Web services SOA Problems? CSA 3210 Last Lecture 2 Lecture Outline

More information

Outline A Survey of Approaches to Automatic Schema Matching. Outline. What is Schema Matching? An Example. Another Example

Outline A Survey of Approaches to Automatic Schema Matching. Outline. What is Schema Matching? An Example. Another Example A Survey of Approaches to Automatic Schema Matching Mihai Virtosu CS7965 Advanced Database Systems Spring 2006 April 10th, 2006 2 What is Schema Matching? A basic problem found in many database application

More information

Using Go3R to collect 3Rs information

Using Go3R to collect 3Rs information Using Go3R to collect 3Rs information Introduction - Go3R project - How can semantic tools help searching? How is the Go3R search engine built to retrieve 3Rs information? Search examples Outlook Go3R

More information