• Aucun résultat trouvé

Complete proceedings in one PDF file

N/A
N/A
Protected

Academic year: 2022

Partager "Complete proceedings in one PDF file"

Copied!
195
0
0

Texte intégral

(1)

Ontology Matching

OM-2014

Proceedings of the ISWC Workshop

Introduction

Ontology matching1 is a key interoperability enabler for the semantic web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes the ontologies as input and determines as output an alignment, that is, a set of correspondences between the seman- tically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data translation, query answering or navigation on the web of data. Thus, matching ontologies enables the knowl- edge and data expressed in the matched ontologies to interoperate.

The workshop has three goals:

• To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements.

The workshop will strive to improve academic awareness of industrial and nal user needs, and therefore direct research towards those needs. Simul- taneously, the workshop will serve to inform industry and user represen- tatives about existing research eorts that may meet their requirements.

The workshop will also investigate how the ontology matching technology is going to evolve.

• To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontol- ogy Alignment Evaluation Initiative) 2014 campaign2. The particular fo- cus of this year's OAEI campaign is on real-world specic matching tasks as well as on evaluation of interactive matchers and matchers for query an- swering. Therefore, the ontology matching evaluation initiative itself will provide a solid ground for discussion of how well the current approaches are meeting business needs.

• To examine new uses, similarities and dierences from database schema matching, which has received decades of attention but is just beginning to transition to mainstream tools.

The program committee selected 5 submissions for oral presentation and 9 submissions for poster presentation. 14 matching system participated in this year's OAEI campaign. Further information about the Ontology Matching workshop can be found at: http://om2014.ontologymatching.org/.

(2)

Acknowledgments. We thank all members of the program committee, au- thors and local organizers for their eorts. We appreciate support from the Trentino as a Lab (TasLab)3 initiative of the European Network of the Living Labs4 at Informatica Trentina SpA5, the EU SEALS (Semantic Evaluation at Large Scale)6 project and the Semantic Valley7 initiative.

Pavel Shvaiko Jérôme Euzenat Ming Mao Juanzi Li

Ernesto Jiménez-Ruiz Axel Ngonga

October 2014

3http://www.taslab.eu

4

(3)

Organization

Organizing Committee

Pavel Shvaiko, Informatica Trentina SpA, Italy Jérôme Euzenat, INRIA & LIG, France Ming Mao, Electronic Arts, USA

Ernesto Jiménez-Ruiz, University of Oxford, UK Juanzi Li, Tsinghua University, China

Axel Ngonga, University of Leipzig, Germany

Program Committee

Alsayed Algergawy, Jena University, Germany Michele Barbera, Spazio Dati, Italy

Zohra Bellahsene, LRIMM, France

Chris Bizer, University of Mannheim, Germany

Olivier Bodenreider, National Library of Medicine, USA Michelle Cheatham, Write State University, USA Marco Combetto, Informatica Trentina, Italy Gianluca Correndo, University of Southampton, UK Isabel Cruz, The University of Illinois at Chicago, USA Jérôme David, INRIA & LIG, France

Stefan Dietze, L3S, Germany

Alo Ferrara, University of Milan, Italy Avigdor Gal, Technion, Israel

Fausto Giunchiglia, University of Trento, Italy Wei Hu, Nanjing University, China

Ryutaro Ichise, National Institute of Informatics, Japan

Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Yannis Kalfoglou, Ricoh Europe plc, UK

Anastasios Kementsietsidis, IBM, USA

Patrick Lambrix, Linköpings Universitet, Sweden Nico Lavarini, Expert System, Italy

Tatiana Lesnikova, INRIA, France

Vincenzo Maltese, University of Trento, Italy Fiona McNeill, University of Edinburgh, UK

Christian Meilicke, University of Mannheim, Germany Andriy Nikolov, Open University, UK

Leo Obrst, The MITRE Corporation, USA

Heiko Paulheim, University of Mannheim, Germany Yefei Peng, Google, USA

(4)

Catia Pesquita, University of Lisbon, Portugal Alessandro Solimando, University of Genova, Italy Umberto Straccia, ISTI-C.N.R., Italy

Ond°ej Zamazal, Prague University of Economics, Czech Republic Cássia Trojahn, IRIT, France

Giovanni Tummarello, Fondazione Bruno Kessler - IRST, Italy

Lorenzino Vaccari, European Commission - Joint Research Center, Italy Ludger van Elst, DFKI, Germany

Shenghui Wang, Vrije Universiteit Amsterdam, Netherlands Songmao Zhang, Chinese Academy of Sciences, China

(5)

Table of Contents

PART 1 - Technical Papers

A categorical approach to ontology alignment

Mihai Codescu, Till Mossakowski, Oliver Kutz . . . 1 The properties of property alignment

Michelle Cheatham, Pascal Hitzler . . . .13 Completeness and optimality in ontology alignment debugging

Jan Noessner, Heiner Stuckenschmidt,

Christian Meilicke, Mathias Niepert . . . 25 Time-ecient execution of bounded Jaro-Winkler distances

Kevin Dreÿler, Axel-Cyrille Ngonga Ngomo . . . .37 A two-step blocking scheme learner for scalable link discovery

Mayank Kejriwal, Daniel P. Miranker . . . 49

(6)

PART 2 - OAEI Papers

Results of the Ontology Alignment Evaluation Initiative 2014 Zlatan Dragisic, Kai Eckert, Jérôme Euzenat, Daniel Faria, Alo Ferrara, Roger Granada, Valentina Ivanova,

Ernesto Jiménez-Ruiz, Andreas Oskar Kempf, Patrick Lambrix, Stefano Montanelli, Heiko Paulheim, Dominique Ritze,

Pavel Shvaiko, Alessandro Solimando, Cássia Trojahn,

Ond°ej Zamazal, Bernardo Cuenca Grau . . . .61 AgreementMakerLight results for OAEI 2014

Daniel Faria, Catarina Martins, Amruta Nanavaty, Aynaz Taheri, Catia Pesquita, Emanuel Santos,

Isabel F. Cruz, Francisco M. Couto . . . .105 AOT / AOTL results for OAEI 2014

Abderrahmane Khiat, Moussa Benaissa . . . .113 InsMT / InsMTL results for OAEI 2014 instance matching

Abderrahmane Khiat, Moussa Benaissa . . . .120 LogMap family results for OAEI 2014

Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, Weiguo Xia, Alessandro Solimando, Xi Chen, Valerie Cross, Yuan Gong,

Shuo Zhang, Anu Chennai-Thiagarajan . . . .126 Alignment evaluation of MaasMatch for the OAEI 2014 campaign

Frederik C. Schadd, Nico Roos . . . 135 OMReasoner: combination of multi-matchers for ontology matching:

results for OAEI 2014

Guohua Shen, Yinling Liu, Fei Wang,

Jia Si, Zi Wang, Zhiqiu Huang, Dazhou Kang . . . 142 RiMOM-IM results for OAEI 2014

Chao Shao, Linmei Hu, Juanzi Li . . . 149 RSDL workbench results for OAEI 2014

Simon Schwichtenberg, Christian Gerth, Gregor Engels . . . 155 XMap++: results for OAEI 2014

Warith Eddine Djeddi, Mohamed Tarek Khadir . . . 163

(7)

PART 3 - Posters

Evaluation of string normalisation modules for string-based biomedical vocabularies alignment with AnAGram

Anique van Berne, Veronique Malaisé . . . 170 Building reference alignments for compound matching

of multiple ontologies using OBO cross-products Catia Pesquita, Michelle Cheatham, Daniel Faria,

Joana Barros, Emanuel Santos, Francisco M. Couto . . . 172 A term-based approach for matching multilingual thesauri

Mauro Dragoni, Andi Rexha, Matteo Casu, Alessio Bosca . . . 174 The importance of cross-lingual information

for matching Wikipedia with the Cyc ontology

Aleksander Smywinski-Pohl, Krzysztof Wróbel . . . 176 Constructing a class hierarchy with properties

by rening and aligning Japanese wikipedia ontology and Japanese WordNet

Takeshi Morita, Susumu Tamagawa, Takahira Yamaguchi . . . 178 Partitioning-based ontology matching approaches:

a comparative analysis

Alsayed Algergawy, Friederike Klan, Birgitta Konig-Ries . . . .180 Towards a cluster-based approach for user participation

in ontology maching

Vinicius Lopes, Fernanda Baião, Kate Revoredo . . . 182 One query at a time: incremental, collective ontology matching

Thomas Kowark, Hasso Plattner . . . 184 Enabling semantic search for EO products:

an ontology matching approach

Maria Karpathiotaki, Konstantina Dogani, Manolis Koubarakis . . . 186

(8)
(9)

❆ ❈❛#❡❣♦'✐❝❛❧ ❆♣♣'♦❛❝❤ #♦ ❖♥#♦❧♦❣② ❆❧✐❣♥♠❡♥#

▼✐❤❛✐ ❈♦❞❡(❝✉✱ ❚✐❧❧ ▼♦((❛❦♦✇(❦✐✱ ❛♥❞ ❖❧✐✈❡3 ❑✉5③

■♥"#✐#✉#❡ ♦❢ ❑♥♦✇❧❡❞❣❡ ❛♥❞ ▲❛♥❣✉❛❣❡ ❊♥❣✐♥❡❡1✐♥❣

❖##♦✲✈♦♥✲●✉❡1✐❝❦❡ ❯♥✐✈❡1"✐#② ♦❢ ▼❛❣❞❡❜✉1❣✱ ●❡1♠❛♥②

❆❜"#$❛❝#✳ ❖♥#♦❧♦❣② ♠❛#❝❤✐♥❣ ❛♥❞ ❛❧✐❣♥♠❡♥# ✐" ❛ ❦❡② ♠❡❝❤❛♥✐"♠ ❢♦1 ❧✐♥❦✐♥❣

#❤❡ ❞✐✈❡1"❡ ❞❛#❛"❡#" ❛♥❞ ♦♥#♦❧♦❣✐❡" ❛1✐"✐♥❣ ✐♥ #❤❡ ❙❡♠❛♥#✐❝ ❲❡❜✳ ❲❡ "❤♦✇

#❤❛# ❝❛#❡❣♦1② #❤❡♦1② ♣1♦✈✐❞❡" #❤❡ ♣♦✇❡1❢✉❧ ❛❜"#1❛❝#✐♦♥" ♥❡❡❞❡❞ ❢♦1 ❛ ✉♥✐❢♦1♠

#1❡❛#♠❡♥# ❛# ✈❛1✐♦✉" ❧❡✈❡❧"✿ "❡♠❛♥#✐❝"✱ ❧❛♥❣✉❛❣❡ ❞❡"✐❣♥✱ 1❡❛"♦♥✐♥❣ ❛♥❞ #♦♦❧"✳

❚❤❡ ❉✐"#1✐❜✉#❡❞ ❖♥#♦❧♦❣② ▲❛♥❣✉❛❣❡ ❉❖▲ ✐" ❡①#❡♥❞❡❞ ✐♥ ❛ ♥❛#✉1❛❧ ✇❛② ✇✐#❤

❝♦♥"#1✉❝#" ❢♦1 ♥❡#✇♦1❦" ♦❢ ♦♥#♦❧♦❣✐❡"✳ ❲❡ ✐♥ ♣❛1#✐❝✉❧❛1 "❤♦✇ ❤♦✇ #❤❡ #❤1❡❡

"❡♠❛♥#✐❝" ♦❢ ❩✐♠♠❡1♠❛♥♥ ❛♥❞ ❊✉③❡♥❛# ❝❛♥ ❜❡ ✉♥✐❢♦1♠❧② ❛♥❞ ❢❛✐#❤❢✉❧❧② 1❡♣✲

1❡"❡♥#❡❞ ✉"✐♥❣ #❤❡"❡ ❉❖▲ ❧❛♥❣✉❛❣❡ ❝♦♥"#1✉❝#"✳ ❋✐♥❛❧❧②✱ ✇❡ "✉♠♠❛1✐"❡ ❤♦✇

#❤❡ ❉❖▲ ❛❧✐❣♥♠❡♥# ❢❡❛#✉1❡" ❛1❡ ❝✉11❡♥#❧② ❜❡✐♥❣ ✐♠♣❧❡♠❡♥#❡❞ ✐♥ #❤❡ ❖♥#♦✲

❤✉❜✴❍❡#" ❡❝♦"②"#❡♠✱ ✐♥❝❧✉❞✐♥❣ "✉♣♣♦1# ❢♦1 #❤❡ ❖❲▲ ❛♥❞ ❆❧✐❣♥♠❡♥# ❆M■"✳

✶ ■♥#$♦❞✉❝#✐♦♥

❖♥5♦❧♦❣② ♠❛5❝❤✐♥❣ ❛♥❞ ❛❧✐❣♥♠❡♥5 ✐( ❛ ❦❡② ♠❡❝❤❛♥✐(♠ ❢♦3 ❧✐♥❦✐♥❣ 5❤❡ ❞✐✈❡3(❡ ❞❛5❛(❡5(

❛♥❞ ♦♥5♦❧♦❣✐❡( ❛3✐(✐♥❣ ✐♥ 5❤❡ ❙❡♠❛♥5✐❝ ❲❡❜✳ ▼❛5❝❤✐♥❣ ❜❛(❡❞ ♦♥ (5❛5✐(5✐❝❛❧ ♠❡5❤♦❞(

✐( ❛ 3❡❧❛5✐✈❡❧② ❞❡✈❡❧♦♣❡❞ ✜❡❧❞✱ ✇✐5❤ ②❡❛3❧② ❝♦♠♣❡5✐5✐♦♥( (✐♥❝❡ ✷✵✵✹ ❝♦♠♣❛3✐♥❣ 5❤❡

✈❛3✐♦✉( (53❡♥❣5❤( ❛♥❞ ✇❡❛❦♥❡((❡( ♦❢ ❡①✐(5✐♥❣ ❛❧❣♦3✐5❤♠( ❬✷✵❪✳

❖♥5♦❧♦❣② ❛❧✐❣♥♠❡♥5( ❡①♣3❡(( (❡♠❛♥5✐❝ ❝♦33❡(♣♦♥❞❡♥❝❡( ❜❡5✇❡❡♥ 5❤❡ ❡♥5✐5✐❡( ♦❢

❞✐✛❡3❡♥5 ♦♥5♦❧♦❣✐❡(✳ ❚❤❡ ❝♦33❡(♣♦♥❞❡♥❝❡( ♦❢ ❛♥ ❛❧✐❣♥♠❡♥5 ❝❛♥ ❜❡ ✈❛3✐♦✉( 3❡❧❛5✐♦♥(✱ ❧✐❦❡

❡H✉✐✈❛❧❡♥❝❡✱ (✉❜(✉♠♣5✐♦♥✱ ❞✐(❥♦✐♥5♥❡(( ♦3 ✐♥(5❛♥❝❡ ❜❡5✇❡❡♥ ❡♥5✐5✐❡( ♦❢ 5❤❡ ♦♥5♦❧♦❣✐❡(✱

✇❤✐❝❤ ❝❛♥ ❜❡ ♥❛♠❡❞ ❡♥5✐5✐❡(✱ ❧✐❦❡ ❝❧❛((❡(✱ 3♦❧❡(✱ ✐♥❞✐✈✐❞✉❛❧(✱ ❢✉♥❝5✐♦♥ (②♠❜♦❧( ❡5❝✳ ♦3

❡✈❡♥ ❝♦♠♣❧❡① ❝♦♥❝❡♣5( ♦3 5❡3♠(✳

❚❤❡ ♣3♦❜❧❡♠ ♦❢ ❣✐✈✐♥❣ ❛♥ ✐♥5❡3♣3❡5❛5✐♦♥ 5♦ ❛❧✐❣♥♠❡♥5( ✐♥ 5❡3♠( ♦❢ 5❤❡ (❡♠❛♥5✐❝(

♦❢ 5❤❡ ♦♥5♦❧♦❣✐❡( ✐( ❝♦♠♣❧✐❝❛5❡❞ ❜② 5❤❡ ❢❛❝5 5❤❛5 5❤❡ ❞♦♠❛✐♥( ♦❢ ✐♥5❡3♣3❡5❛5✐♦♥ ♦❢

5❤❡ 5✇♦ ♦♥5♦❧♦❣✐❡( ♠❛② ❜❡ ✐♥❝♦♠♣❛5✐❜❧❡✳ ❉✐✛❡3❡♥5 ✇❛②( ♦❢ ❞❡❛❧✐♥❣ ✇✐5❤ 5❤✐( ♣3♦❜❧❡♠

❡①✐(5 ✐♥ 5❤❡ ❧✐5❡3❛5✉3❡✳ ❚❤❡ ✜3(5 (♦❧✉5✐♦♥✱ ❝❛❧❧❡❞ (✐♠♣❧❡ (❡♠❛♥5✐❝( ✐♥ ❬✷✸❪✱ ✐( 5♦ ❛((✉♠❡

5❤❛5 5❤❡ ❞♦♠❛✐♥ ♦❢ ✐♥5❡3♣3❡5❛5✐♦♥ ♦❢ 5❤❡ ♦♥5♦❧♦❣✐❡( ✐( ✉♥✐❢♦3♠ ❬✹✱ ✺❪✳ ❚❤❡ (❡❝♦♥❞ (♦✲

❧✉5✐♦♥✱ ❝❛❧❧❡❞ ✐♥"❡❣%❛"❡❞ (❡♠❛♥"✐❝( ✐♥ ❬✷✸❪✱ ✐( 5♦ ❛((✉♠❡ 5❤❡ ❡①✐(5❡♥❝❡ ♦❢ ❛ ✉♥✐✈❡3(❛❧

❞♦♠❛✐♥ 5♦❣❡5❤❡3 ✇✐5❤ ❢✉♥❝5✐♦♥( 3❡❧❛5✐♥❣ 5❤❡ ❞♦♠❛✐♥( ♦❢ ✐♥❞✐✈✐❞✉❛❧ ♦♥5♦❧♦❣✐❡( 5♦ 5❤❡

✉♥✐✈❡3(❛❧ ❞♦♠❛✐♥✳ ❚❤✐( ❛♣♣3♦❛❝❤ ❤❛( ❜❡❡♥ ✐♥53♦❞✉❝❡❞ ✐♥ ❬✷✶❪✱ ✉♥❞❡3 5❤❡ ♥❛♠❡ ♦❢ ✐♥✲

5❡❣3❛5❡❞ ❞✐(53✐❜✉5❡❞ ❞❡(❝3✐♣5✐♦♥ ❧♦❣✐❝( ✭■❉❉▲✮✳ ❋✐♥❛❧❧②✱ 5❤❡ ❞♦♠❛✐♥( ♦❢ 5❤❡ ✐♥❞✐✈✐❞✉❛❧

♦♥5♦❧♦❣✐❡( ❝❛♥ ❜❡ 3❡❧❛5❡❞ ❛♠♦♥❣ 5❤❡♠(❡❧✈❡( ❞✐3❡❝5❧② ✐♥(5❡❛❞ ✈✐❛ ❛ ✉♥✐H✉❡ ✉♥✐✈❡3(❛❧

❞♦♠❛✐♥✳ ❚❤✐( ❛♣♣3♦❛❝❤ ❣✐✈❡( 3✐(❡ 5♦ 5❤❡ 5❤✐3❞ (❡♠❛♥5✐❝(✱ ❝❛❧❧❡❞ ❝♦♥"❡①"✉❛❧✐(❡❞ (❡✲

♠❛♥"✐❝( ✐♥ ❬✷✸❪✳ ■5 ✇❛( ✐♥53♦❞✉❝❡❞ ✐♥ ❬✷✸❪ ❛( ❛♥ ❛55❡♠♣5 5♦ ❣❡♥❡3❛❧✐(❡ ❛ ♥✉♠❜❡3 ♦❢

❡①✐(5✐♥❣ (❡♠❛♥5✐❝ ❢♦3♠❛❧✐(♠( ✭❞✐(53✐❜✉5❡❞ ✜3(5✲♦3❞❡3 ❧♦❣✐❝( ✭❉❋❖▲✮ ❬✶✵❪✱ ❞✐(53✐❜✉5❡❞

❞❡(❝3✐♣5✐♦♥ ❧♦❣✐❝( ✭❉❉▲✮ ❬✷❪ ❛♥❞ ❝♦♥5❡①5✉❛❧✐(❡❞ ♦♥5♦❧♦❣✐❡( ✭❈✲❖❲▲✮ ❬✸❪✮ ❛♥❞ ❧❛5❡3

❝♦33❡❝5❡❞ 5♦ ❛ 3❡❧❛5✐♦♥❛❧ (❡♠❛♥5✐❝( ✐♥ ❬✷✷❪✳ T❛❝❦❛❣❡✲❜❛(❡❞ ❞❡(❝3✐♣5✐♦♥ ❧♦❣✐❝( ✭T❉▲✮ ❬✶❪

❛❧(♦ ❢❛❧❧ ✐♥ 5❤✐( (❡♠❛♥5✐❝ ❝❛5❡❣♦3②✳ ▼♦3❡♦✈❡3✱ ❬✷✸❪ ❞✐(❝✉((❡( 5❤❡ ✐♠♣❧✐❝❛5✐♦♥( ♦❢ 5❤❡(❡

♣♦((✐❜❧❡ ✐♥5❡3♣3❡5❛5✐♦♥( ♦❢ ❛❧✐❣♥♠❡♥5( ✇✐5❤ 3❡(♣❡❝5 5♦ 3❡❛(♦♥✐♥❣ ❛♥❞ ❝♦♠♣♦(✐5✐♦♥ ♦❢

❛❧✐❣♥♠❡♥5(✳

(10)

❆ ♠❛❥♦% ♣%♦❜❧❡♠ ✇✐,❤ ,❤❡.❡ ❛♣♣%♦❛❝❤❡. ✐. ,❤❡✐% ❞✐✈❡%.✐,②✳ ❚❤❡%❡ ❡①✐., .♦♠❡ ❛,✲

,❡♠♣,. ❢♦% ✉♥✐✜❝❛,✐♦♥✱ ✇❤✐❝❤ ❤♦✇❡✈❡% %❡♠❛✐♥ ✉♥.❛,✐.❢❛❝,♦%②✿ ,❤❡%❡ ✐. ♥♦ ❝♦♠♠♦♥

.②♥,❛①✱ ♥♦ ❝♦♠♠♦♥ .❡♠❛♥,✐❝ ❢%❛♠❡✇♦%❦✱ ❛♥❞ ♥♦ ❝♦♠♠♦♥ ,♦♦❧ .✉♣♣♦%,✳ ■♥ ,❤✐. ✇♦%❦✱

✇❡ .❤♦✇ ❤♦✇ ❝❛,❡❣♦%② ,❤❡♦%② ❝❛♥ ♣%♦✈✐❞❡ .✉❝❤ ❛ ✉♥✐❢②✐♥❣ ❢%❛♠❡✇♦%❦ ❛, ✈❛%✐♦✉. ❧❡✈❡❧.✱

✐♠♣%♦✈✐♥❣ ♣%❡✈✐♦✉. %❡❧❛,❡❞ ✇♦%❦ ❬✷✹✱ ✶✺✱ ✷✷✱ ✶✶❪ ✇❤✐❝❤ ❞✐❞ ♥♦, .♣❡❧❧ ♦✉, ❞❡,❛✐❧.✱ ❛♥❞

❞✐❞ ♥♦, ♠❛❦❡ ,❤❡ .,❡♣ ❢%♦♠ ❛❜.,%❛❝, ❞❡.❝%✐♣,✐♦♥ ❛♥❞ ❝❛.❡ .,✉❞✐❡. ,♦ ❧❛♥❣✉❛❣❡ ❞❡.✐❣♥

❛♥❞ ✐♠♣❧❡♠❡♥,❛,✐♦♥✳

✷ ●❡♥❡$❛❧ ❛♣♣$♦❛❝❤

❚❤❡ ❣❡♥❡%❛❧ %❡♣%❡.❡♥,❛,✐♦♥ ❛♥❞ %❡❛.♦♥✐♥❣ ❢%❛♠❡✇♦%❦ ,❤❛, ✇❡ ♣%♦♣♦.❡ ✐♥❝❧✉❞❡.✿ ✶✮

❛ ❞❡❝❧❛%❛,✐✈❡ ❧❛♥❣✉❛❣❡ ,♦ .♣❡❝✐❢② ♥❡,✇♦%❦. ♦❢ ♦♥,♦❧♦❣✐❡. ❛♥❞ ❛❧✐❣♥♠❡♥,.✱ ✇✐,❤ ✐♥❞❡✲

♣❡♥❞❡♥, ❝♦♥,%♦❧ ♦✈❡% .♣❡❝✐❢②✐♥❣ ❧♦❝❛❧ ♦♥,♦❧♦❣✐❡. ❛♥❞ ❝♦♠♣❧❡① ❛❧✐❣♥♠❡♥, %❡❧❛,✐♦♥.✱ ✷✮

,❤❡ ♣♦..✐❜✐❧✐,② ,♦ ❛❧✐❣♥ ❤❡,❡%♦❣❡♥❡♦✉. ♦♥,♦❧♦❣✐❡.✱ ❛♥❞ ✸✮ ✐♥ ♣%✐♥❝✐♣❧❡✱ ,❤❡ ♣♦..✐❜✐❧✐,② ,♦ ❝♦♠❜✐♥❡ ❞✐✛❡%❡♥, ❛❧✐❣♥♠❡♥, ♣❛%❛❞✐❣♠. ✭.✐♠♣❧❡✴✐♥,❡❣%❛,❡❞✴❝♦♥,❡①,✉❛❧✐.❡❞✮ ✇✐,❤✐♥

♦♥❡ ♥❡,✇♦%❦✳

❚❤%♦✉❣❤ ❝❛,❡❣♦%② ,❤❡♦%②✱ ✇❡ ♦❜,❛✐♥ ❛ ✉♥✐❢②✐♥❣ ❢%❛♠❡✇♦%❦ ❛, ✈❛%✐♦✉. ❧❡✈❡❧.✿

❡♠❛♥%✐❝ ❧❡✈❡❧ ❲❡ ❣✐✈❡ ❛ ✉♥✐❢♦%♠ .❡♠❛♥,✐❝. ❢♦% ❞✐.,%✐❜✉,❡❞ ♥❡,✇♦%❦. ♦❢ ❛❧✐❣♥❡❞

♦♥,♦❧♦❣✐❡.✱ ✉.✐♥❣ ,❤❡ ♣♦✇❡%❢✉❧ ♥♦,✐♦♥ ♦❢ ❝♦❧✐♠✐%✱ ✇❤✐❧❡ %❡✢❡❝,✐♥❣ ♣%♦♣❡%❧② ,❤❡

.❡♠❛♥,✐❝ ✈❛%✐❛,✐♦♥ ♣♦✐♥,. ✐♥❞✐❝❛,❡❞ ❛❜♦✈❡✳

✭♠❡%❛✮ ❧❛♥❣✉❛❣❡ ❧❡✈❡❧ ❲❡ ♣%♦✈✐❞❡ ❛ ✉♥✐❢♦%♠ ♥♦,❛,✐♦♥ ✭❜❛.❡❞ ♦♥ ,❤❡ ❞✐.,%✐❜✉,❡❞

♦♥,♦❧♦❣② ❧❛♥❣✉❛❣❡ ❉❖▲✮ ❢♦% ❞✐.,%✐❜✉,❡❞ ♥❡,✇♦%❦. ♦❢ ❛❧✐❣♥❡❞ ♦♥,♦❧♦❣✐❡.✱ .♣❛♥♥✐♥❣

,❤❡ ❞✐✛❡%❡♥, ♣♦..✐❜❧❡ .❡♠❛♥,✐❝ ❝❤♦✐❝❡.✳

.❡❛ ♦♥✐♥❣ ❧❡✈❡❧ ❯.✐♥❣ ,❤❡ ♥♦,✐♦♥ ♦❢ ❝♦❧✐♠✐,✱ ✇❡ ❝❛♥ ♣%♦✈✐❞❡ %❡❛.♦♥✐♥❣ ♠❡,❤♦❞. ❢♦%

❞✐.,%✐❜✉,❡❞ ♥❡,✇♦%❦. ♦❢ ❛❧✐❣♥❡❞ ♦♥,♦❧♦❣✐❡.✱ ❛❣❛✐♥ ❛❝%♦.. ❛❧❧ .❡♠❛♥,✐❝ ❝❤♦✐❝❡.✳

%♦♦❧ ❧❡✈❡❧ ❚❤❡ ,♦♦❧ ♦♥"♦❤✉❜✳♦'❣ ♣%♦✈✐❞❡. ❛♥ ✐♠♣❧❡♠❡♥,❛,✐♦♥ ♦❢ ❛♥❛❧②.✐. ❛♥❞ %❡❛✲

.♦♥✐♥❣ ❢♦% ❞✐.,%✐❜✉,❡❞ ♥❡,✇♦%❦. ♦❢ ❛❧✐❣♥❡❞ ♦♥,♦❧♦❣✐❡.✱ ❛❣❛✐♥ ✉.✐♥❣ ,❤❡ ♣♦✇❡%❢✉❧

❛❜.,%❛❝,✐♦♥. ♣%♦✈✐❞❡❞ ❜② ❝❛,❡❣♦%② ,❤❡♦%②✳

❧♦❣✐❝ ❧❡✈❡❧ ❖✉% .❡♠❛♥,✐❝. ✐. ❣✐✈❡♥ ❢♦% ,❤❡ ♦♥,♦❧♦❣② ❧❛♥❣✉❛❣❡ ❖❲▲✱ ❜✉, ❞✉❡ ,♦ ,❤❡

❛❜.,%❛❝,✐♦♥ ♣♦✇❡% ♦❢ ,❤❡ ❢%❛♠❡✇♦%❦✱ ✐, ❡❛.✐❧② ❝❛%%✐❡. ♦✈❡% ,♦ ♦,❤❡% ❧♦❣✐❝. ✉.❡❞ ✐♥

♦♥,♦❧♦❣② ❡♥❣✐♥❡❡%✐♥❣✱ ❧✐❦❡ ❘❉❋❙✱ ✜%.,✲♦%❞❡% ❧♦❣✐❝ ♦% ❋✲❧♦❣✐❝✳

❚❤✐. .❤♦✇. ,❤❛, ❝❛,❡❣♦%② ,❤❡♦%② ✐. ♥♦, ♦♥❧② ❛ ♣♦✇❡%❢✉❧ ❛❜.,%❛❝,✐♦♥ ❛, ,❤❡ .❡♠❛♥,✐❝

❧❡✈❡❧✱ ❜✉, ❝❛♥ ♣%♦♣❡%❧② ❣✉✐❞❡ ❧❛♥❣✉❛❣❡ ❞❡.✐❣♥ ❛♥❞ ,♦♦❧ ✐♠♣❧❡♠❡♥,❛,✐♦♥. ❛♥❞ ,❤✉.

♣%♦✈✐❞❡ ✉.❡❢✉❧ ❛❜.,%❛❝,✐♦♥ ❜❛%%✐❡%. ❢%♦♠ ❛ .♦❢,✇❛%❡ ❡♥❣✐♥❡❡%✐♥❣ ♣♦✐♥, ♦❢ ✈✐❡✇✳

❚❤❡ ❞✐.,%✐❜✉,❡❞ ♦♥,♦❧♦❣② ❧❛♥❣✉❛❣❡ DOL ✐. ❛ ♠❡,❛❧❛♥❣✉❛❣❡ ✐♥ ,❤❡ .❡♥.❡ ,❤❛, ✐,

❡♥❛❜❧❡. ,❤❡ %❡✉.❡ ♦❢ ❡①✐.,✐♥❣ ♦♥,♦❧♦❣✐❡. ❛. ❜✉✐❧❞✐♥❣ ❜❧♦❝❦. ❢♦% ♥❡✇ ♦♥,♦❧♦❣✐❡. ✉.✐♥❣ ❛

✈❛%✐❡,② ♦❢ .,%✉❝,✉%✐♥❣ ,❡❝❤♥✐T✉❡.✱ ❛. ✇❡❧❧ ❛. ,❤❡ .♣❡❝✐✜❝❛,✐♦♥ ♦❢ %❡❧❛,✐♦♥.❤✐♣. ❜❡,✇❡❡♥

♦♥,♦❧♦❣✐❡.✳ ❖♥❡ ✐♠♣♦%,❛♥, ❢❡❛,✉%❡ ♦❢ DOL ✐. ,❤❡ ❛❜✐❧✐,② ,♦ ❝♦♠❜✐♥❡ ♦♥,♦❧♦❣✐❡. ,❤❛,

❛%❡ ✇%✐,,❡♥ ✐♥ ❞✐✛❡%❡♥, ❧❛♥❣✉❛❣❡. ✇✐,❤♦✉, ❝❤❛♥❣✐♥❣ ,❤❡✐% .❡♠❛♥,✐❝.✳ ❆ ❢♦%♠❛❧ .♣❡❝✐✜✲

❝❛,✐♦♥ ♦❢ ,❤❡ ❧❛♥❣✉❛❣❡ ❝❛♥ ❜❡ ❢♦✉♥❞ ✐♥ ❬✶✼❪✳ ❍♦✇❡✈❡% ♥♦,❡ ,❤❛, .②♥,❛① ❛♥❞ .❡♠❛♥,✐❝.

♦❢DOL❛❧✐❣♥♠❡♥,. ✐. ✐♥,%♦❞✉❝❡❞ ✐♥ ,❤✐. ♣❛♣❡% ❢♦% ,❤❡ ✜%., ,✐♠❡✳

❲❡ ❞♦ ♥♦% ❝❧❛✐♠ ❤❡,❡ %❤❛% %❤❡ ,❡❛-♦♥✐♥❣ ♠❡%❤♦❞- ✇❡ ♣,♦✈✐❞❡ ♦✉%♣❡,❢♦,♠ ♠♦,❡ -♣❡❝✐❛❧✐-❡❞

❛❧✐❣♥♠❡♥% ,❡❛-♦♥✐♥❣ ♠❡%❤♦❞-✱ -❛② ❢♦, ❉❉▲✱ ♦, ❛❧✐❣♥♠❡♥% ❞❡❜✉❣❣✐♥❣✿ ♦✉, ♠❛✐♥ ❝♦♥%,✐❜✉✲

%✐♦♥ ✐- %❤❡ ♣,♦✈✐-✐♦♥ ♦❢ ❛ ✉♥✐❢②✐♥❣ ❢,❛♠❡✇♦,❦ %❤❛% ✇♦,❦- -✐♠✉❧%❛♥❡♦✉-❧② ❛% %❤❡ ✈❛,✐♦✉-

(11)

❚❤❡ ❣❡♥❡%❛❧ ♣✐❝+✉%❡ ✐- +❤❡♥ ❛- ❢♦❧❧♦✇-✿ ❡①✐-+✐♥❣ ♦♥+♦❧♦❣✐❡- ❝❛♥ ❜❡ ✐♥+❡❣%❛+❡❞ ❛-✲✐-

✐♥+♦ +❤❡DOL❢%❛♠❡✇♦%❦✳ ❲✐+❤ ♦✉% ♥❡✇ ❡①+❡♥❞❡❞DOL-②♥+❛①✱ ✇❡ ❝❛♥ -♣❡❝✐❢② ❞✐✛❡%❡♥+

❦✐♥❞- ♦❢ ❛❧✐♥❣♠❡♥+-✳ ❋%♦♠ -✉❝❤ ❛♥ ❛❧✐❣♥♠❡♥+✱ ✇❡ ❝♦♥-+%✉❝+ ❛ ❣%❛♣❤ ♦❢ ♦♥+♦❧♦❣✐❡- ❛♥❞

♠♦%♣❤✐-♠- ❜❡+✇❡❡♥ +❤❡♠✖✐♥ ❛ ✇❛② ❞❡♣❡♥❞✐♥❣ ♦♥ +❤❡ ❝❤♦-❡♥ ❛❧✐❣♥♠❡♥+ ❢%❛♠❡✇♦%❦✳

❙♦♠❡+✐♠❡-✱ +❤✐- -+❡♣ ❛❧-♦ ✐♥✈♦❧✈❡- +%❛♥-❢♦%♠❛+✐♦♥- ♦♥ +❤❡ ♦♥+♦❧♦❣✐❡-✱ -✉❝❤ ❛- %❡❧❛✲

+✐✈✐-❛+✐♦♥ ♦❢ +❤❡ ✭❣❧♦❜❛❧✮ ❞♦♠❛✐♥ ✉-✐♥❣ ♣%❡❞✐❝❛+❡-✳ ❆ ♥❡+✇♦%❦ ♦❢ ❛❧✐❣♥♠❡♥+- ❝❛♥ +❤❡♥

❜❡ ❝♦♠❜✐♥❡❞ +♦ ❛♥ ✐♥+❡❣%❛+❡❞ ❛❧✐❣♥♠❡♥+ ♦♥+♦❧♦❣② ✈✐❛ ❛ -♦✲❝❛❧❧❡❞ ❝♦❧✐♠✐+✳ ❘❡❛-♦♥✐♥❣

✐♥ ❛ ♥❡+✇♦%❦ ♦❢ ❛❧✐❣♥❡❞ ♦♥+♦❧♦❣✐❡- ✐- +❤❡♥ +❤❡ -❛♠❡ ❛- %❡❛-♦♥✐♥❣ ✐♥ +❤❡ ❝♦♠❜✐♥❡❞

♦♥+♦❧♦❣②✳ ❚❤✉-✱ ✐♥ ♦%❞❡% +♦ ✐♠♣❧❡♠❡♥+ ❛ %❡❛-♦♥❡%✱ ✐+ ✐- ✐♥ ♣%✐♥❝✐♣❧❡ -✉✣❝✐❡♥+ +♦ ❞❡✜♥❡

+❤❡ %❡❧❛+✐✈✐-❛+✐♦♥ ♣%♦❝❡❞✉%❡ ❢♦% +❤❡ ❧♦❝❛❧ ❧♦❣✐❝- ❛♥❞ +❤❡ ❛❧✐❣♥♠❡♥+ +%❛♥-❢♦%♠❛+✐♦♥ ❢♦%

❡❛❝❤ ❦✐♥❞- ♦❢ -❡♠❛♥+✐❝-✳

✸ ◆❡#✇♦&❦( ♦❢ ♦♥#♦❧♦❣✐❡( ❛♥❞ #❤❡✐& (❡♠❛♥#✐❝(

■♥ +❤✐- -❡❝+✐♦♥ ✇❡ %❡❝❛❧❧ ♥❡+✇♦%❦- ♦❢ ♦♥+♦❧♦❣✐❡- ❛♥❞ +❤❡✐% -❡♠❛♥+✐❝- ✐♥+%♦❞✉❝❡❞ ✐♥ ❬✷✸✱

✽❪✳ ◆❡+✇♦%❦- ♦❢ ♦♥+♦❧♦❣✐❡- ✭❤❡%❡ ❞❡♥♦+❡❞ ◆❡❖✮ ❬✽❪✱ ❝❛❧❧❡❞ ❞✐-+%✐❜✉+❡❞ -②-+❡♠- ✐♥ ❬✷✸❪✱

❝♦♥-✐-+ ♦❢ ❛ ❢❛♠✐❧② (Oi)i∈I ♦❢ ♦♥+♦❧♦❣✐❡- ♦✈❡% ❛ -❡+ ♦❢ ✐♥❞❡①❡- I ✐♥+❡%❝♦♥♥❡❝+❡❞ ❜② ❛ -❡+ ♦❢ ❛❧✐❣♥♠❡♥+- (Aij)i,j∈I ❜❡+✇❡❡♥ +❤❡♠✳ ❆❧✐❣♥♠❡♥+- ❛%❡ -❡+- ♦❢ ❝♦""❡$♣♦♥❞❡♥❝❡$

❜❡+✇❡❡♥ +❤❡ +❛%❣❡+ ♦♥+♦❧♦❣②O1❛♥❞ -♦✉%❝❡ ♦♥+♦❧♦❣②O2♦❢ +❤❡ ❛❧✐❣♥♠❡♥+✳ ❈♦%%❡-♣♦♥✲

❞❡♥❝❡- ❛%❡ +%✐♣❧❡- (e1, e2, R)✇❤❡%❡ e1 ❛♥❞ e2 ❛%❡ ❡♥+✐+✐❡- ❜✉✐❧+ ✇✐+❤ +❤❡ ❤❡❧♣ ♦❢ ❛♥

❡♥+✐+② ❧❛♥❣✉❛❣❡ ♦✈❡% O1 ❛♥❞ O2✱ %❡-♣❡❝+✐✈❡❧②✱ ❛♥❞ R ✐- ❛ %❡❧❛+✐♦♥ ❜❡+✇❡❡♥ ❡♥+✐+✐❡-

❢%♦♠ ❛ -❡+ ♦❢ %❡❧❛+✐♦♥- R✳

❆ -❡♠❛♥+✐❝- ♦❢ ♥❡+✇♦%❦- ♦❢ ♦♥+♦❧♦❣✐❡- ✐- ❣✐✈❡♥ ✐♥ +❡%♠- ♦❢ ❧♦❝❛❧ ✐♥+❡%♣%❡+❛+✐♦♥ ♦❢

+❤❡ ♦♥+♦❧♦❣✐❡- ❛♥❞ ❛❧✐❣♥♠❡♥+- ✐+ ❝♦♥-✐-+- ♦❢✳ ❚♦ ❜❡ ❛❜❧❡ +♦ ❣✐✈❡ -✉❝❤ ❛ -❡♠❛♥+✐❝-✱ ♦♥❡

♥❡❡❞- +♦ ❣✐✈❡ ❛♥ ✐♥+❡%♣%❡+❛+✐♦♥ ♦❢ +❤❡ %❡❧❛+✐♦♥- ❜❡+✇❡❡♥ ❡♥+✐+✐❡- +❤❛+ ❛%❡ ❡①♣%❡--❡❞ ✐♥

+❤❡ ❝♦%%❡-♣♦♥❞❡♥❝❡-✳ ■♥ +❤❡ ❢♦❧❧♦✇✐♥❣ +❤%❡❡ -✉❜-❡❝+✐♦♥- ❧❡+ S={(Oi)i∈I,(Aij)i,j∈I}

❜❡ ❛ ◆❡❖ ♦✈❡% ❛ -❡+ ♦❢ ✐♥❞❡①❡-I✳

O1

m1

((

O2

m2

!!

. . . On

mn

wwD

❙✐♠♣❧❡ &❡♠❛♥)✐❝& ■♥ +❤❡ -✐♠♣❧❡ -❡✲

♠❛♥+✐❝-✱ +❤❡ ❛--✉♠♣+✐♦♥ ✐- +❤❛+ ❛❧❧ ♦♥✲

+♦❧♦❣✐❡- ❛%❡ ✐♥+❡%♣%❡+❡❞ ♦✈❡% +❤❡ -❛♠❡

❞♦♠❛✐♥ ✭♦% ✉♥✐✈❡%-❡ ♦❢ ✐♥+❡%♣%❡+❛+✐♦♥✮

D✳ ❚❤❡ %❡❧❛+✐♦♥- ✐♥ R ❛%❡ ✐♥+❡%♣%❡+❡❞

❛- %❡❧❛+✐♦♥- ♦✈❡%D✱ ❛♥❞ ✇❡ ❞❡♥♦+❡ +❤❡ ✐♥+❡%♣%❡+❛+✐♦♥ ♦❢ R∈R❜② RD

■❢ O1✱ O2 ❛%❡ +✇♦ ♦♥+♦❧♦❣✐❡- ❛♥❞ c = (e1, e2, R) ✐- ❛ ❝♦%%❡-♣♦♥❞❡♥❝❡ ❜❡+✇❡❡♥

O1 ❛♥❞ O2✱ ✇❡ -❛② +❤❛+ c ✐- -❛+✐-✜❡❞ ❜② ✐♥+❡%♣%❡+❛+✐♦♥- m1✱ m2 ♦❢ O1✱ O2 ✐✛

m1(e1)RDm2(e2)✳ ❚❤✐- ✐- ✇%✐++❡♥m1, m2|=Sc✳ ❆ ♠♦❞❡❧ ♦❢ ❛♥ ❛❧✐❣♥♠❡♥+A❜❡+✇❡❡♥

♦♥+♦❧♦❣✐❡-O1❛♥❞O2✐- +❤❡♥ ❛ ♣❛✐%m1✱m2♦❢ ✐♥+❡%♣%❡+❛+✐♦♥- ♦❢O1✱O2-✉❝❤ +❤❛+ ❢♦%

❛❧❧c∈A✱m1, m2|=S c✳ ❲❡ ❞❡♥♦+❡ +❤✐- ❜②m1, m2|=SA✳ ❆♥ ✐♥+❡%♣%❡+❛+✐♦♥ ♦❢S ✐- ❛

❢❛♠✐❧②(mi)i∈I ♦❢ ♠♦❞❡❧-mi ♦❢Oi✳ ❆ -✐♠♣❧❡ ✐♥+❡%♣%❡+❛+✐♦♥ ♦❢S ✐- ❛♥ ✐♥+❡%♣%❡+❛+✐♦♥

(mi)i∈I ♦❢S♦✈❡% +❤❡ -❛♠❡ ❞♦♠❛✐♥ D✳

❉❡✜♥✐)✐♦♥ ✶✳ ❬✷✸❪ ❆ $✐♠♣❧❡ ♠♦❞❡❧ ♦❢ ❛ S ✐$ ❛ $✐♠♣❧❡ ✐♥2❡"♣"❡2❛2✐♦♥ (mi)i∈I ♦❢ S

$✉❝❤ 2❤❛2 ❢♦" ❡❛❝❤i, j ∈I✱mi, mj|=S Aij✳ ❚❤✐$ ✐$ ✇"✐22❡♥(mi)i∈I |=SS✳ ❲❡ ❞❡♥♦2❡

❜②M odsim(S)2❤❡ ❝❧❛$$ ♦❢ ❛❧❧ $✐♠♣❧❡ ♠♦❞❡❧$ ♦❢ S✳

(12)

O1

m

O2

m2

. . . On

mn

D1

γ1

((

D2

γ2

!!

. . . Dn

γn

wwU

■♥"❡❣%❛"❡❞ ❙❡♠❛♥"✐❝, ❆♥♦#❤❡& ♣♦(✲

(✐❜✐❧✐#② ✐( #♦ ❝♦♥(✐❞❡& #❤❛# #❤❡ ❞♦♠❛✐♥

♦❢ ✐♥#❡&♣&❡#❛#✐♦♥ ♦❢ #❤❡ ♦♥#♦❧♦❣✐❡( ♦❢ ❛

◆❡❖ ✐( ♥♦# ❝♦♥(#&❛✐♥❡❞✱ ❛♥❞ ❛ ❣❧♦❜❛❧

❞♦♠❛✐♥ ♦❢ ✐♥#❡&♣&❡#❛#✐♦♥ U ❡①✐(#(✱ #♦✲

❣❡#❤❡& ✇✐#❤ ❛ ❢❛♠✐❧② ♦❢ ❡!✉❛❧✐&✐♥❣ ❢✉♥❝✲

,✐♦♥& γi :Di →U✱ ✇❤❡&❡ Di ✐( #❤❡ ❞♦✲

♠❛✐♥ ♦❢ Oi✱ ❢♦& ❡❛❝❤ i ∈ I✳ ❆ &❡❧❛#✐♦♥ R ✐♥ R ✐( ✐♥#❡&♣&❡#❡❞ ❛( ❛ &❡❧❛#✐♦♥ RU ♦♥

#❤❡ ❣❧♦❜❛❧ ❞♦♠❛✐♥✳ ❙❛#✐(❢❛❝#✐♦♥ ♦❢ ❛ ❝♦&&❡(♣♦♥❞❡♥❝❡ c = (e1, e2, R) ❜② #✇♦ ♠♦❞❡❧(

m1 ♦❢ O1 ❛♥❞ m2 ♦❢ O2 ♠❡❛♥( #❤❛# γi(mi(e1))RUγj(mj(e2))✳ ❲❡ ❞❡♥♦#❡ #❤✐( ❜② m1, m2 |=Iγ12 c❛♥❞ ❜② m1, m2 |=Iγ12 A ✇❡ ❞❡♥♦#❡ #❤❛# m1, m2 |=Iγ12 c ❢♦& ❡❛❝❤

c∈A✳

❆♥ ✐♥#❡❣&❛#❡❞ ✐♥#❡&♣&❡#❛#✐♦♥ ♦❢ S ✐( #❤❡♥ {(mi)i∈I,(γi)i∈I} ✇❤❡&❡ (mi)i∈I ✐( ❛♥

✐♥#❡&♣&❡#❛#✐♦♥ ♦❢S ❛♥❞γi:Di→U ✐( ❛ ❢✉♥❝#✐♦♥ #♦ ❛ ❝♦♠♠♦♥ ❣❧♦❜❛❧ ❞♦♠❛✐♥ U ❢♦&

❡❛❝❤i∈I✳ ❲❡ ❤❡&❡ ❛((✉♠❡ #❤❛# #❤❡γi❛&❡ ✐♥❝❧✉(✐♦♥(✳

❉❡✜♥✐"✐♦♥ ✷✳ ❬✷✸❪ ❆♥ ✐♥,❡❣3❛,❡❞ ✐♥,❡3♣3❡,❛,✐♦♥ {(mi),(γi)} ♦❢ S ✐& ❛♥ ✐♥,❡❣3❛,❡❞

♠♦❞❡❧ ♦❢S✐✛ ❢♦3 ❡❛❝❤i, j∈I✱mi, mj|=Iγij Aij✳ ❲❡ ❞❡♥♦,❡ ❜② M odint(S),❤❡ ❝❧❛&&

♦❢ ❛❧❧ ✐♥,❡❣3❛,❡❞ ♠♦❞❡❧& ♦❢ ❛ ◆❡❖S✳

O1

m

O2

m2

. . . On

mn

D1

r1,2

//

r1,3

;;D2

r2,3

//. . . Dn

rn,1

ii

❈♦♥"❡①"✉❛❧✐,❡❞ ❙❡♠❛♥"✐❝, ❚❤❡ ❢✉♥❝✲

#✐♦♥❛❧ ♥♦#✐♦♥ ♦❢ ❝♦♥#❡①#✉❛❧✐(❡❞ (❡♠❛♥✲

#✐❝( ✐♥ ❬✷✸❪ ✐( ♥♦# ✈❡&② ✉(❡❢✉❧ ❛♥❞ ❤❛(

❜❡❡♥ &❡♣❧❛❝❡❞ ❜② ❛ ♠♦&❡ ✢❡①✐❜❧❡ &❡❧❛✲

#✐♦♥❛❧ ♥♦#✐♦♥ (✉❜(❡B✉❡♥#❧② ❬✽❪✱ ❝❧♦(❡❧② &❡✲

❧❛#❡❞ #♦ #❤❡ (❡♠❛♥#✐❝( ♦❢ ❉❉▲( ❬✷❪ ❛♥❞

E✲❝♦♥♥❡❝#✐♦♥( ❬✶✹❪✳

❚❤❡ ✐❞❡❛ ✐( #♦ &❡❧❛#❡ #❤❡ ❞♦♠❛✐♥( ♦❢ #❤❡ ♦♥#♦❧♦❣✐❡( ❜② ❛ ❢❛♠✐❧② ♦❢ &❡❧❛#✐♦♥( r= (rij)i,j∈I✳ ❚❤❡ &❡❧❛#✐♦♥(R ✐♥R ❛&❡ ✐♥#❡&♣&❡#❡❞ ✐♥ ❡❛❝❤ ❞♦♠❛✐♥ ♦❢ #❤❡ ♦♥#♦❧♦❣✐❡( ✐♥

#❤❡ ◆❡❖✳ ❙❛#✐(❢❛❝#✐♦♥ ♦❢ ❛ ❝♦&&❡(♣♦♥❞❡♥❝❡c= (e1, e2, R)❜② #✇♦ ♠♦❞❡❧(m1♦❢O1❛♥❞

m2♦❢O2♠❡❛♥( #❤❛#mi(e1)Rirji(mj(e2))✱ ✇❤❡&❡Ri✐( #❤❡ ✐♥#❡&♣&❡#❛#✐♦♥ ♦❢R✐♥Di

❲❡ ❞❡♥♦#❡ ✐# ❜②m1, m2|=Cr c✱ ❛♥❞ ❡①#❡♥❞ #❤✐( #♦ ❛❧✐❣♥♠❡♥#(✱ ❞❡♥♦#❡❞ m1, m2|=Cr A

✐❢ ❛❧❧ ❝♦&&❡(♣♦♥❞❡♥❝❡( ♦❢ #❤❡ ❛❧✐❣♥♠❡♥# ❛&❡ (❛#✐(✜❡❞ ❜② m1, m2 ✇✳&✳#✳r✳

❆ ❝♦♥#❡①#✉❛❧✐(❡❞ ✐♥#❡&♣&❡#❛#✐♦♥ ♦❢ S✐( ❛ ♣❛✐& {(mi)i∈I,(rij)i,j∈I} ✇❤❡&❡(mi)i∈I

✐( ❛♥ ✐♥#❡&♣&❡#❛#✐♦♥ ♦❢ S ❛♥❞(rij)i,j∈I ✐( ❛ ❢❛♠✐❧② ♦❢ ❞♦♠❛✐♥ &❡❧❛#✐♦♥( (✉❝❤ #❤❛# rij

&❡❧❛#❡( #❤❡ ❞♦♠❛✐♥ ♦❢ mi #♦ #❤❡ ❞♦♠❛✐♥ ♦❢ mj ❛♥❞ rii ✐( #❤❡ ✐❞❡♥#✐#② ✭❞✐❛❣♦♥❛❧✮

&❡❧❛#✐♦♥✳ ❋✉&#❤❡& ❛((✉♠♣#✐♦♥( ❛❜♦✉# ❞♦♠❛✐♥ &❡❧❛#✐♦♥( ❝❛♥ ❜❡ ❛❞❞❡❞✱ #❤✉( &❡(#&✐❝#✐♥❣

♠♦&❡ #❤❡ ❝❧❛(( ♦❢ ✐♥#❡&♣&❡#❛#✐♦♥( ♦❢ ❛ ◆❡❖✳

❉❡✜♥✐"✐♦♥ ✸✳ ❆ ❝♦♥,❡①,✉❛❧✐&❡❞ ♠♦❞❡❧ ♦❢ ,❤❡ ◆❡❖S✐& ❛ ❝♦♥,❡①,✉❛❧✐&❡❞ ✐♥,❡3♣3❡,❛,✐♦♥

((mi)i∈I,(rij)i,j∈I) ♦❢ S &✉❝❤ ,❤❛, ❢♦3 ❡❛❝❤ i, j ∈I✱ mi, mj |=Cr Aij✳ ❲❡ ❞❡♥♦,❡ ❜② M odcon(S),❤❡ ❝❧❛&& ♦❢ ❛❧❧ ❝♦♥,❡①,✉❛❧✐&❡❞ ♠♦❞❡❧& ♦❢ ❛ ◆❡❖ S✳

❚❤❡ #❤❡♦%② ❛❧)♦ ✇♦%❦) ❢♦% ✐♥❥❡❝#✐♦♥) ✇✐#❤♦✉# ♠✉❝❤ ❝❤❛♥❣❡✳ ❆%❜✐#%❛%②✱ ✐✳❡✳ ♣♦))✐❜❧② ♥♦♥✲

✐♥❥❡❝#✐✈❡ ♠❛♣)✱ ❛%❡ ❝♦♥❝❡♣#✉❛❧❧② ♥♦# ♥❡❝❡))❛%②✿ ❛ ❧♦❝❛❧ ♠♦❞❡❧ ❝❛♥ ❜❡ =✉♦#✐❡♥#❡❞ ❜② #❤❡

❦❡%♥❡❧ ♦❢ ❛ ♥♦♥✲✐♥❥❡❝#✐✈❡ )✉❝❤ ♠❛♣✱ ❛♥❞ #❤❡♥ ❜❡ %❡♣❧❛❝❡❞ ❜② #❤❡ =✉♦#✐❡♥#✱ ❧❡❛❞✐♥❣ #♦ ❛♥

(13)

✹ DOL ❆❧✐❣♥♠❡♥()

■♥ "❤✐% %❡❝"✐♦♥ ✇❡ %"❛+" ❜② ✐♥"+♦❞✉❝✐♥❣ "❤❡DOL❝♦♥❝❡♣"% ♥❡❝❡%%❛+② ❢♦+ ❣✐✈✐♥❣ %❡♠❛♥✲

"✐❝% ♦❢ ❛❧✐❣♥♠❡♥"%✳ ❲❡ "❤❡♥ ✐♥"+♦❞✉❝❡ "❤❡ %②♥"❛① ♦❢ ❛❧✐❣♥♠❡♥"% ✐♥ DOL❛♥❞ ✐❧❧✉%"+❛"❡

✇✐"❤ "❤❡ ❤❡❧♣ ♦❢ ❛♥ ❡①❛♠♣❧❡ ✐♥✈♦❧✈✐♥❣ OWL ♦♥"♦❧♦❣✐❡% ❤♦✇ "❤❡ %❡♠❛♥"✐❝% ♦❢ ❛❧✐❣♥✲

♠❡♥"% ❝❛♥ ❜❡ ❣✐✈❡♥ ✉%✐♥❣ ❞✐❛❣+❛♠% ❛♥❞ ❝♦❧✐♠✐"%✳ ❲❡ "❤❡♥ ♣+❡%❡♥" "❤❡ ♠❛✐♥ +❡%✉❧"

♦❢ "❤❡ ♣❛♣❡+✱ %❤♦✇✐♥❣ ❤♦✇ "❤❡ ❝❛"❡❣♦+✐❝❛❧ %❡♠❛♥"✐❝% ♦❢ DOL❛❧✐❣♥♠❡♥"% ❝❛♣"✉+❡% "❤❡

"❤+❡❡ %❡♠❛♥"✐❝% ♦❢ ♥❡"✇♦+❦% ♦❢ ♦♥"♦❧♦❣✐❡%✳

✹✳✶ DOL ❉✐❛❣'❛♠) ❛♥❞ ❈♦♠❜✐♥❛/✐♦♥)

❚❤❡ %②♥"❛① ❢♦+ %♣❡❝✐❢②✐♥❣ ❞✐❛❣+❛♠% ✐♥DOL✐%

❣!❛♣❤ ❉ ❂ D1, . . . , Dm, O1, . . . , On, M1, . . . , Mp, A1, . . . , Ak

✇❤❡+❡Di❛+❡ ✭%✉❜✲✮❞✐❛❣+❛♠%✱Oi❛+❡ ♦♥"♦❧♦❣✐❡%✱Mi❛+❡ ♠♦+♣❤✐%♠% ❛♥❞Ai❛+❡ ❛❧✐❣♥✲

♠❡♥"%✳ ❚❤❡ ✉%❡+ %♣❡❝✐✜❡% ❛ ❞✐❛❣+❛♠D❢♦+♠❡❞ ✇✐"❤ "❤❡ %✉❜❣+❛♣❤% ❣✐✈❡♥ ❜② ❞✐❛❣+❛♠%

Di✱ ❡①"❡♥❞❡❞ ✇✐"❤ ♦♥"♦❧♦❣✐❡%Oi ❛♥❞ "❤❡ ♠♦+♣❤✐%♠%Mi ❛♥❞ "❤❡ %✉❜❞✐❛❣+❛♠% ♦❢ "❤❡

❛❧✐❣♥♠❡♥"%Ai

DOL❛❧%♦ ♣+♦✈✐❞❡% ♠❡❛♥% ❢♦+ ❝♦♠❜✐♥✐♥❣ ❛ ❞✐❛❣+❛♠ ♦❢ ♦♥"♦❧♦❣✐❡% ✐♥"♦ ❛ ♥❡✇ ♦♥✲

"♦❧♦❣②✱ %✉❝❤ "❤❛" "❤❡ %②♠❜♦❧% +❡❧❛"❡❞ ✐♥ "❤❡ ❞✐❛❣+❛♠ ❛+❡ ✐❞❡♥"✐✜❡❞✳ ❚❤❡ %②♥"❛① ♦❢

❝♦♠❜✐♥❛"✐♦♥% ✐% ♦♥"♦❧♦❣② ❖ ❂ ❝♦♠❜✐♥❡ ❉✱ ✇❤❡+❡D ✐% ❛ ❞✐❛❣+❛♠✱ ♥❛♠❡❞ ♦+ %♣❡❝✐✲

✜❡❞ ❛% ❛❜♦✈❡✳ ❚❤❡ %❡♠❛♥"✐❝% ♦❢ ❛ ❝♦♠❜✐♥❛"✐♦♥O✐% "❤❡ ❝❧❛%% ♦❢ ♠♦❞❡❧% ♦❢ "❤❡ ❝♦❧✐♠✐"

♦♥"♦❧♦❣② ♦❢ "❤❡ ❞✐❛❣+❛♠ %♣❡❝✐✜❡❞ ✐♥ "❤❡ ❝♦♠❜✐♥❛"✐♦♥✳ ❯♥❞❡+ +❛"❤❡+ ♠✐❧❞ "❡❝❤♥✐❝❛❧

❛%%✉♠♣"✐♦♥%✱ "❤✐% ♠♦❞❡❧ ❝❧❛%% ❝❛♣"✉+❡% ❡①❛❝"❧② "❤❡ ♠♦❞❡❧% ♦❢ "❤❡ ❞✐❛❣+❛♠✳

✹✳✷ ❙②♥/❛① ♦❢ DOL ❆❧✐❣♥♠❡♥/)

DOL+❡♣+❡%❡♥"% "❤❡ ❣❡♥❡+❛❧ ❛❧✐❣♥♠❡♥" ❢♦+♠❛" ✐♥ ❛ %✐♠✐❧❛+ ✇❛② "♦ "❤❡ ❆❧✐❣♥♠❡♥" ❆B■

❬✼❪ ❛% ❢♦❧❧♦✇%✿

❛❧✐❣♥♠❡♥, ❆ ✿ O1 ,♦ O2 ❂ s11 REL1 s12✱ . . .✱ sn1 RELn sn2

❛11✉♠✐♥❣ ❉❖▼❆■◆

❡♥❞

✇❤❡+❡ O1 ❛♥❞ O2 ❛+❡ "❤❡ ♦♥"♦❧♦❣✐❡% "♦ ❜❡ ❛❧✐❣♥❡❞✱ si1 ❛♥❞ si2 ❛+❡ O1 ❛♥❞ +❡%♣❡❝✲

"✐✈❡❧②O2 %②♠❜♦❧%✱ ❢♦+ i= 1, . . . , n✱si1 RELi si2✐% ❛ ❝♦""❡$♣♦♥❞❡♥❝❡ ✇❤✐❝❤ ✐❞❡♥"✐✜❡%

❛ +❡❧❛"✐♦♥ ❜❡"✇❡❡♥ "❤❡ ♦♥"♦❧♦❣② %②♠❜♦❧%✱ ✉%✐♥❣ ♦♥❡ ♦❢ "❤❡ %②♠❜♦❧% >✭%✉❜%✉♠❡%✮✱<

✭✐% %✉❜%✉♠❡❞✮✱ = ✭❡G✉✐✈❛❧❡♥"✮✱ % ✭✐♥❝♦♠♣❛"✐❜❧❡✮✱ ∈✭✐♥%"❛♥❝❡✮ ♦+ ∋ ✭❤❛% ✐♥%"❛♥❝❡✮

❛♥❞ ❉❖▼❆■◆ +❡❝♦+❞% ✇❤❡"❤❡+ %✐♥❣❧❡✱ ✐♥"❡❣+❛"❡❞ ♦+ ❝♦♥"❡①"✉❛❧✐%❡❞ %❡♠❛♥"✐❝% ✐% ✉%❡❞✱

✉%✐♥❣ "❤❡ ❝♦♥%"❛♥" ❙✐♥❣❧❡❉♦♠❛✐♥✱ ●❧♦❜❛❧❉♦♠❛✐♥ ❛♥❞ ❈♦♥"❡①"✉❛❧✐9❡❞❉♦♠❛✐♥ +❡✲

%♣❡❝"✐✈❡❧②✳

❇❡❢♦+❡ %"❛+"✐♥❣ "♦ ❛♥❛❧②%❡ "❤❡ "❤+❡❡ %❡♠❛♥"✐❝% ❢♦+ ◆❡❖# ✐♥ ♦✉+ %❡""✐♥❣✱ ✇❡ ❝❛♥

✜+%" ❞❡✜♥❡ "❤❡ ❞✐❛❣+❛♠ ♦❢ ❛ ◆❡❖ ✐♥ "❡+♠% ♦❢ "❤❡ ❞✐❛❣+❛♠% ♦❢ ✐"% ♣❛+"%✳

❉❡✜♥✐/✐♦♥ ✹✳ ❚❤❡ ❞✐❛❣"❛♠ ♦❢ ❛ ◆❡❖S={(Oi)i∈I,(Aij)i,j∈I}✐$ ♦❜0❛✐♥❡❞ ❜② ♣✉00✐♥❣

0♦❣❡0❤❡" 0❤❡ ❞✐❛❣"❛♠$ ♦❢ ❛❧❧ ❛❧✐❣♥♠❡♥0$ Aij ✐0 ❝♦♥$✐$0$ ♦❢✳

(14)

=

=

= ∈

⊑ ¬

: = =

A

OWL

A

O1 O2

B

O1' O2'

Bridge

(15)

■!" ❝♦♥"!✐!✉❡♥!" ❛*❡ ♦❜!❛✐♥❡❞ ❛" ❢♦❧❧♦✇"✳ ❚❤❡ ♦♥!♦❧♦❣✐❡"O1 ❛♥❞O2❝♦❧❧❡❝!✱ *❡"♣❡❝!✐✈❡❧②✱

❛❧❧ !❤❡ "②♠❜♦❧"s1 ❛♥❞ s2 !❤❛! ❛♣♣❡❛* ✐♥ ❛ ❝♦**❡"♣♦♥❞❡♥❝❡ s1RELs2 ✐♥A✱ ❛♥❞ ❤❛✈❡

♥♦ "❡♥!❡♥❝❡"✳ ❚❤❡ ♠♦*♣❤✐"♠" ιi ❢*♦♠ Oi !♦ Oi✱ ✇❤❡*❡ i= 1,2✱ ❛*❡ ✐♥❝❧✉"✐♦♥"✳ ❚❤❡

♦♥!♦❧♦❣②B ✐" ❝♦♥"!*✉❝!❡❞ ❜② !✉*♥✐♥❣ !❤❡ ❝♦**❡"♣♦♥❞❡♥❝❡" ♦❢ !❤❡ ❛❧✐❣♥♠❡♥! ✐♥!♦OWL

❛①✐♦♠"✳ ❚❤❡ ♠♦*♣❤✐"♠" σ1 ❛♥❞σ2 ♠❛♣ !❤❡ "②♠❜♦❧" ♦❝❝✉**✐♥❣ ✐♥ ❝♦**❡"♣♦♥❞❡♥❝❡" !♦

!❤❡✐* ❝♦✉♥!❡*♣❛*! ✐♥ B✳ ❚❤❡ ❛❧✐❣♥♠❡♥! ✐" ✐❧❧✲❢♦*♠❡❞ ✇❤❡♥ ✐! ❝♦♥!❛✐♥" ❛♥ ❡;✉✐✈❛❧❡♥❝❡

❜❡!✇❡❡♥ "②♠❜♦❧" ♦❢ ❞✐✛❡*❡♥! ❦✐♥❞"✱ ♦* ✐❢ B ❢❛✐❧" !♦ ❜❡ ❛ ✇❡❧❧✲❢♦*♠❡❞ ♦♥!♦❧♦❣②✳

❊①❛♠♣❧❡ ✷✳ ❲❡ "#❛%# ❜② ❛❞❞✐♥❣ #❤❡ ❛""✉♠♣#✐♦♥ #❤❛# ✇❡ ❤❛✈❡ ❛ "❤❛%❡❞ ❞♦♠❛✐♥ ❢♦%

#❤❡ ♦♥#♦❧♦❣✐❡" ✐♥ #❤❡ ❛❧✐❣♥♠❡♥# ♦❢ ❊①✳ ✶✿

❛❧✐❣♥♠❡♥' ❆:❙ '♦ ❚=. . .

❛))✉♠✐♥❣ ❙✐♥❣❧❡❉♦♠❛✐♥

❚❤❡ ❞✐❛❣%❛♠ ♦❢ ❆ ✐" #❤❡♥

S B T

S

σ1

>>

ι1

__

T

ι2

>>

σ2

``

✇❤❡%❡S ❝♦♥"✐"#" ♦❢ #❤❡ ❝♦♥❝❡♣#" @❡*"♦♥ ❛♥❞ ❈❤✐❧❞ ❛♥❞ #❤❡ ✐♥❞✐✈✐❞✉❛❧ ❛❧❡① ❛♥❞ T

❝♦♥"✐"#" ♦❢ #❤❡ ❝♦♥❝❡♣#" ❍✉♠❛♥❇❡✐♥❣✱ ❊♠♣❧♦②❡❡ ❛♥❞ ▼❛❧❡✱ ι1 ❛♥❞ ι2 ❛%❡ ✐♥❝❧✉"✐♦♥"

❛♥❞σ1❛♥❞σ2♠❛♣✱ %❡"♣❡❝#✐✈❡❧②✱ @❡*"♦♥ ❛♥❞ ❍✉♠❛♥❇❡✐♥❣ #♦ @❡*"♦♥❴❍✉♠❛♥❇❡✐♥❣

❛♥❞ ❛❧❧ ♦#❤❡% ❝♦♥❝❡♣#" ❛♥❞✴♦% ✐♥❞✐✈✐❞✉❛❧" ✐❞❡♥#✐❝❛❧❧②✳

❚❤❡ ❜%✐❞❣❡ ♦♥#♦❧♦❣②B ✐"✿

♦♥'♦❧♦❣② ❇=❈❧❛))✿ ❡"#♦♥❴❍✉♠❛♥❇❡✐♥❣

❈❧❛))✿ ❊♠♣❧♦②❡❡

❈❧❛))✿ ▼❛❧❡

❈❧❛))✿ ❈❤✐❧❞ ❙✉❜❈❧❛))❖❢✿¬❊♠♣❧♦②❡❡

■♥❞✐✈✐❞✉❛❧✿ ❛❧❡① ❚②♣❡)✿ ▼❛❧❡

❚❤❡ ❝♦❧✐♠✐# ♦♥#♦❧♦❣② ♦❢ #❤❡ ❞✐❛❣%❛♠ ♦❢ ❆ ✐"✿

♦♥'♦❧♦❣② ❈=❈❧❛))✿ ❡"#♦♥❴❍✉♠❛♥❇❡✐♥❣

❈❧❛))✿ ❊♠♣❧♦②❡❡

❈❧❛))✿ ▼❛❧❡ ❙✉❜❈❧❛))❖❢✿ ❡"#♦♥❴❍✉♠❛♥❇❡✐♥❣

❈❧❛))✿ ❈❤✐❧❞ ❙✉❜❈❧❛))❖❢✿¬❊♠♣❧♦②❡❡

■♥❞✐✈✐❞✉❛❧✿ ❛❧❡① ❚②♣❡)✿ ▼❛❧❡, ❡"#♦♥❴❍✉♠❛♥❇❡✐♥❣

✹✳✹ ■♥$❡❣'❛$❡❞ ❙❡♠❛♥$✐❝.

❈❛♣#✉%✐♥❣ ✐♥#❡❣%❛#❡❞ "❡♠❛♥#✐❝" ✐♥ DOL✉"✐♥❣ ❢❛♠✐❧✐❡" ♦❢ ♠♦❞❡❧" ❝♦♠♣❛#✐❜❧❡ ✇✐#❤ ❛

❞✐❛❣%❛♠ ✐" ♠♦%❡ ❞✐✣❝✉❧#✱ ❛" ❝♦♠♣❛#✐❜✐❧✐#② ✇✐#❤ #❤❡ ❞✐❛❣%❛♠ ✐♠♣❧✐❡" ✉♥✐@✉❡♥❡"" ♦❢

#❤❡ ❞♦♠❛✐♥✳ ❚♦ %❡♠❡❞② #❤✐"✱ ✇❡ ✉"❡ %❡❧❛#✐✈✐"❛#✐♦♥ ♦❢ ❛♥ ♦♥#♦❧♦❣② ✇❤❡%❡ #❤❡ ✉♥✐✈❡%"❛❧

❝♦♥❝❡♣# ❜❡❝♦♠❡" ❛ ♥❡✇ ❝♦♥❝❡♣# ❛♥❞ #❤✉" ❝❛♥ ❜❡ ✐♥#❡%♣%❡#❡❞ ❛" ❛ "✉❜"❡# ♦❢ #❤❡ %❡❧❛✲

#✐✈✐"❡❞ ❞♦♠❛✐♥✳ ❘❡❧❛#✐✈✐"❛#✐♦♥" ❤❛✈❡ ♣%❡✈✐♦✉"❧② ❜❡❡♥ ✉"❡❞ ✐♥ ❞❡✜♥✐♥❣ ❈♦♠♠♦♥ ▲♦❣✐❝

♠♦❞✉❧❡" ❬✶✾❪ ♦% ✐♥ #❤❡ %❡✲❡♥❝♦❞✐♥❣ ♦❢ ❉❉▲ ✐♥#♦ ❖❲▲ ❬✻❪✳

❉❡✜♥✐$✐♦♥ ✻✳ ▲❡!O❜❡ ❛♥OWL♦♥!♦❧♦❣②✳ ❲❡ ❞❡✜♥❡ !❤❡ %❡❧❛#✐✈✐"❛#✐♦♥ ♦❢O✱ ❞❡♥♦!❡❞

O˜✱ ❛" ❢♦❧❧♦✇"✳ ❚❤❡ ❝♦♥❝❡♣!" ♦❢ O˜ ❛*❡ !❤❡ ❝♦♥❝❡♣!" ♦❢ O!♦❣❡!❤❡* ✇✐!❤ ❛ ♥❡✇ ❝♦♥❝❡♣!✱

❞❡♥♦!❡❞⊤O✳ ❚❤❡ *♦❧❡" ❛♥❞ ✐♥❞✐✈✐❞✉❛❧" ♦❢O˜❛*❡ !❤❡ "❛♠❡ ❛" ✐♥O✳O˜ ❝♦♥!❛✐♥" ❛①✐♦♠"

"!❛!✐♥❣ !❤❛!

(16)

✕ ❡❛❝❤ ❝♦♥❝❡♣' C ♦❢O✐* *✉❜*✉♠❡❞ ❜②⊤O

✕ ❡❛❝❤ ✐♥❞✐✈✐❞✉❛❧ i♦❢O✐* ❛♥ ✐♥*'❛♥❝❡ ♦❢ ⊤O

✕ ❡❛❝❤ 3♦❧❡ r❤❛* ✐'* ❞♦♠❛✐♥ ❛♥❞ 3❛♥❣❡✱ ✐❢ ♣3❡*❡♥'✱ ✐♥'❡3*❡❝'❡❞ ✇✐'❤ ⊤O✱ ♦'❤❡3✇✐*❡

'❤❡② ❛3❡⊤O

❛♥❞ '❤❡ ❛①✐♦♠* ♦❢O ✇❤❡3❡ '❤❡ ❢♦❧❧♦✇✐♥❣ 3❡♣❧❛❝❡♠❡♥' ♦❢ ❝♦♥❝❡♣'* ✐* ♠❛❞❡✿

✕ ❡❛❝❤ ♦❝❝✉3❡♥❝❡ ♦❢ ⊤✐* 3❡♣❧❛❝❡❞ ❜② ⊤O✱ ❛♥❞

✕ ❡❛❝❤ ❝♦♥❝❡♣' ¬C ✐* 3❡♣❧❛❝❡❞ ❜② ⊤O⊓ ¬C

✕ ❡❛❝❤ ❝♦♥❝❡♣' ∀R.C ✐* 3❡♣❧❛❝❡❞ ❜②⊤O⊓ ∀R.C✳

❊①❛♠♣❧❡ ✸✳ ❲❡ ❛❞❞ $❤❡ ❛&&✉♠♣$✐♦♥ $❤❛$ ✇❡ ❤❛✈❡ ❛ ❣❧♦❜❛❧ ❞♦♠❛✐♥ ✇❤❡2❡ $❤❡ ❞♦♠❛✐♥&

♦❢ $❤❡ ♦♥$♦❧♦❣✐❡& ✐♥ ♦✉2 ❛❧✐❣♥♠❡♥$ ❛2❡ ✐♥❝❧✉❞❡❞✿

❛❧✐❣♥♠❡♥' ❆:❙ '♦ ❚=. . .

❛))✉♠✐♥❣ ●❧♦❜❛❧❉♦♠❛✐♥

❚❤❡ ❞✐❛❣2❛♠ ♦❢ ❆ ✐& $❤❡♥

S˜ B˜ T˜

S

σ1

??

ι1

__

T

ι2

??

σ2

__

✇❤❡2❡ S ❝♦♥&✐&$& ♦❢ $❤❡ ❝♦♥❝❡♣$& T hingS✱ ;❡3*♦♥ ❛♥❞ ❈❤✐❧❞ ❛♥❞ $❤❡ ✐♥❞✐✈✐❞✉❛❧

❛❧❡① ❛♥❞T ❝♦♥&✐&$& ♦❢ $❤❡ ❝♦♥❝❡♣$& T hingT✱ ❍✉♠❛♥❇❡✐♥❣✱ ❊♠♣❧♦②❡❡ ❛♥❞ ▼❛❧❡✱ ι1

❛♥❞ ι2 ❛2❡ ✐♥❝❧✉&✐♦♥& ❛♥❞ σ1 ❛♥❞ σ2 ♠❛♣ ;❡3*♦♥ ❛♥❞ 2❡&♣❡❝$✐✈❡❧② ❍✉♠❛♥❇❡✐♥❣ $♦

;❡3*♦♥❴❍✉♠❛♥❇❡✐♥❣ ❛♥❞ ❛❧❧ ♦$❤❡2 ❝♦♥❝❡♣$& ❛♥❞✴♦2 ✐♥❞✐✈✐❞✉❛❧& ✐❞❡♥$✐❝❛❧❧②✳

❚❤❡ 2❡❧❛$✐✈✐&❛$✐♦♥&S˜ ❛♥❞T˜♦❢ $❤❡ ♦♥$♦❧♦❣✐❡& ❙ ❛♥❞ ❚ ❛2❡

♦♥'♦❧♦❣②S˜=❈❧❛))✿T hingS

❈❧❛))✿ ❡"#♦♥ ❙✉❜❈❧❛))❖❢✿T hingS

■♥❞✐✈✐❞✉❛❧✿ ❛❧❡① ❚②♣❡)✿ ❡"#♦♥✱T hingS

❈❧❛))✿ ❈❤✐❧❞ ❙✉❜❈❧❛))❖❢✿T hingS

♦♥'♦❧♦❣②T˜=❈❧❛))✿T hingT

❈❧❛))✿ ❍✉♠❛♥❇❡✐♥❣ ❙✉❜❈❧❛))❖❢✿T hingT

❈❧❛))✿ ▼❛❧❡ ❙✉❜❈❧❛))❖❢✿ ❍✉♠❛♥❇❡✐♥❣✱T hingT

❈❧❛))✿ ❊♠♣❧♦②❡❡ ❙✉❜❈❧❛))❖❢✿T hingT

❚❤❡ 2❡❧❛$✐✈✐&❡❞ ❜2✐❞❣❡ ♦♥$♦❧♦❣② ♦❢ ❛♥ ❛❧✐❣♥♠❡♥$ ✐& ❜✉✐❧$ ❜② 2❡❧❛$✐✈✐&✐♥❣ $❤❡ ❛①✐♦♠&

$❤❛$ 2❡&✉❧$ ❢2♦♠ $2❛♥&❧❛$✐♥❣ $❤❡ ❝♦22❡&♣♦♥❞❡♥❝❡& ♦❢ ❆ $♦ ❖❲▲ &❡♥$❡♥❝❡&✳ ❙✐♥❝❡ ✇❡

♠❛❞❡ $❤❡ ❛&&✉♠♣$✐♦♥ $❤❛$ ❡?✉❛❧✐&✐♥❣ ❢✉♥❝$✐♦♥& ❛2❡ ❛❧❧ ✐♥❝❧✉&✐♦♥&✱ $❤❡2❡ ✐& ♥♦ ♥❡❡❞ $♦

✐♥$2♦❞✉❝❡ ❡①♣❧✐❝✐$ &②♠❜♦❧& ❢♦2 $❤❡♠ ✐♥ $❤❡ ❜2✐❞❣❡ ♦♥$♦❧♦❣②✳ ■♥ ♦✉2 ❝❛&❡✱ $❤❡ ❜2✐❞❣❡

♦♥$♦❧♦❣② ♦❢ ❆ ✐&

♦♥'♦❧♦❣②B˜ =❈❧❛))✿T hingS❈❧❛))✿T hingT

❈❧❛))✿ ❡"#♦♥❴❍✉♠❛♥❇❡✐♥❣ ❙✉❜❈❧❛))❖❢✿T hingS✱T hingT

❈❧❛))✿ ▼❛❧❡ ❈❧❛))✿ ❊♠♣❧♦②❡❡

❈❧❛))✿ ❈❤✐❧❞ ❙✉❜❈❧❛))❖❢✿T hingT ❛♥❞¬❊♠♣❧♦②❡❡

(17)

❚❤❡ ❝♦❧✐♠✐( ♦♥(♦❧♦❣② ♦❢ (❤❡ -❡❧❛(✐✈✐0❡❞ ❞✐❛❣-❛♠ ♦❢ (❤❡ ❛❧✐❣♥♠❡♥( ✐♥ ❊①✳ ✶ ✐0✿

♦♥"♦❧♦❣② ❈=❈❧❛((✿ ❚❤✐♥❣❙

❈❧❛((✿ ❚❤✐♥❣❚

❈❧❛((✿ &❡()♦♥❴❍✉♠❛♥❇❡✐♥❣ ❙✉❜❈❧❛((❖❢✿ ❚❤✐♥❣❙✱ ❚❤✐♥❣❈

❈❧❛((✿ ▼❛❧❡ ❙✉❜❈❧❛((❖❢✿ &❡()♦♥❴❍✉♠❛♥❇❡✐♥❣

❈❧❛((✿ ❊♠♣❧♦②❡❡ ❙✉❜❈❧❛((❖❢✿ ❚❤✐♥❣❚

❈❧❛((✿ ❈❤✐❧❞ ❙✉❜❈❧❛((❖❢✿ ❚❤✐♥❣❙

❈❧❛((✿ ❈❤✐❧❞ ❙✉❜❈❧❛((❖❢✿ ❚❤✐♥❣❚ ❛♥❞¬❊♠♣❧♦②❡❡

■♥❞✐✈✐❞✉❛❧✿ ❛❧❡① ❚②♣❡(✿ ▼❛❧❡✱ &❡()♦♥❴❍✉♠❛♥❇❡✐♥❣

✹✳✺ ❈♦♥&❡①&✉❛❧✐-❡❞ ❙❡♠❛♥&✐❝-

❍❡-❡ ✇❡ ♥❡❡❞ (♦ ✐♥(-♦❞✉❝❡ ❡①♣❧✐❝✐(❧② (❤❡ -❡❧❛(✐♦♥0 ❜❡(✇❡❡♥ (❤❡ ❞♦♠❛✐♥0 ✐♥ (❤❡ ❧❛♥✲

❣✉❛❣❡ ♦❢ (❤❡ ❜-✐❞❣❡ ♦♥(♦❧♦❣②✳ ❚❤❡ ❞✐❛❣-❛♠ ♦❢ (❤❡ ❛❧✐❣♥♠❡♥( ❤❛0 (❤✉0 (❤❡ 0❛♠❡ 0❤❛♣❡

❛0 ✐♥ ❉❡❢✳ ✺✱ ❜✉( ♥♦✇ (❤❡ ❜-✐❞❣❡ ♦♥(♦❧♦❣② ✐0 ❝♦♠♣✉(❡❞ ❞✐✛❡-❡♥(❧② ❛♥❞✱ ❛0 ✐♥ (❤❡ ♣-❡✲

✈✐♦✉0 0❡❝(✐♦♥✱ (❤❡ ♦♥(♦❧♦❣✐❡0 ❛-❡ -❡❧❛(✐✈✐0❡❞✳ ❲❡ ❞❡♥♦(❡ (❤❡ ❜-✐❞❣❡ ♦♥(♦❧♦❣② ❜② B❛♥❞

❞❡✜♥❡ ✐( (♦ ♠♦❞✐❢②B ❛0 ❢♦❧❧♦✇0✿

✕ rji✐0 ❛❞❞❡❞ (♦B ❛0 ❛ -♦❧❡ ✇✐(❤ ❞♦♠❛✐♥⊤T ❛♥❞ -❛♥❣❡⊤S

✕ (❤❡ ❝♦--❡0♣♦♥❞❡♥❝❡0 ❛-❡ (-❛♥0❧❛(❡❞ (♦ ❛①✐♦♠0 ✐♥✈♦❧✈✐♥❣ (❤❡0❡ -♦❧❡0✿

• Ci=Cj ❜❡❝♦♠❡0Ci≡ ∃rji•Cj

• ai=aj ❜❡❝♦♠❡0ai rjiaj

• ai∈Cj ❜❡❝♦♠❡0ai∈ ∃rji•Cj

• Ci< Cj ❜❡❝♦♠❡0Ci⊑ ∃rji•Cj

• Ci%Cj ❜❡❝♦♠❡0Ci⊓ ∃rji•Cj=∅

✕ (❤❡ ♣-♦♣❡-(✐❡0 ♦❢ (❤❡ rji❛-❡ ❛❞❞❡❞ ❛0 ❛①✐♦♠0 ✐♥ B✳

❍❡-❡ ✇❡ ❛00✉♠❡ (❤❛( (❤❡ ❛❧✐❣♥♠❡♥( Aij ❝♦♥(❛✐♥0 ♥♦ ❝♦--❡0♣♦♥❞❡♥❝❡ (ri, rj, R)✱

✇❤❡-❡ri❛♥❞rj❛-❡ -♦❧❡0✳ ❍❛✈✐♥❣ 0✉❝❤ ❝♦--❡0♣♦♥❞❡♥❝❡0 ❧❡❛❞0 (♦ 0❡♥(❡♥❝❡0 (❤❛( ❝❛♥♥♦(

❜❡ ❡①♣-❡00❡❞ ✐♥OWL✳

❊①❛♠♣❧❡ ✹✳ ❲❡ ❛❞❞ (❤❡ ❛00✉♠♣(✐♦♥ (❤❛( ✇❡ ❤❛✈❡ ❞✐✛❡-❡♥( ❞♦♠❛✐♥0 ❢♦- (❤❡ ♦♥(♦❧♦❣✐❡0✱

✇❤✐❝❤ ❛-❡ -❡❧❛(❡❞ ❜② ❞♦♠❛✐♥ -❡❧❛(✐♦♥0✿

❛❧✐❣♥♠❡♥" ❆:❙ "♦ ❚=. . .

❛((✉♠✐♥❣ ❈♦♥"❡①"✉❛❧✐(❡❞❉♦♠❛✐♥

❚❤❡ ❞✐❛❣-❛♠ ♦❢ ❆ ✐0 (❤❡♥

S˜ B T˜

S

σ1

??

ι1

__

T

ι2

??

σ2

__

✇❤❡-❡ (❤❡ ❝♦♥0(✐(✉❡♥(0 ♦❢ (❤❡ ❞✐❛❣-❛♠✱ ❡①❝❡♣(B✱ ❛-❡ ❛0 ❞❡✜♥❡❞ ✐♥ ❊①✳ ✸✳ ❚❤❡ ❜-✐❞❣❡

♦♥(♦❧♦❣② ♦❢ ❆ ♥♦✇ ❜❡❝♦♠❡0✿

♦♥"♦❧♦❣②B =❈❧❛((✿ ❚❤✐♥❣❙

❈❧❛((✿ ❚❤✐♥❣❚

❖❜❥❡❝";<♦♣❡<②✿rT S ❉♦♠❛✐♥✿ ❚❤✐♥❣❚ ❘❛♥❣❡✿ ❚❤✐♥❣❙

❈❧❛((✿ &❡()♦♥ ❊?✉✐✈❛❧❡♥"❚♦✿ rT S (♦♠❡ ❍✉♠❛♥❇❡✐♥❣

❈❧❛((✿ ❊♠♣❧♦②❡❡

❈❧❛((✿ ▼❛❧❡

❈❧❛((✿ ❈❤✐❧❞ ❙✉❜❈❧❛((❖❢✿rT S (♦♠❡¬❊♠♣❧♦②❡❡

■♥❞✐✈✐❞✉❛❧✿ ❛❧❡① ❚②♣❡(✿rT S (♦♠❡ ▼❛❧❡

(18)

❚❤❡ ❝♦❧✐♠✐( ♦♥(♦❧♦❣② ♦❢ (❤✐- ❞✐❛❣0❛♠ ✐-✿

♦♥"♦❧♦❣② ❈=❈❧❛((✿ ❚❤✐♥❣❙

❈❧❛((✿ ❚❤✐♥❣❚

❖❜❥❡❝"/0♦♣❡0②✿rT S ❉♦♠❛✐♥✿ ❚❤✐♥❣❚ ❘❛♥❣❡✿ ❚❤✐♥❣❙

❈❧❛((✿ &❡()♦♥ ❊7✉✐✈❛❧❡♥"❚♦✿ rT S (♦♠❡ ❍✉♠❛♥❇❡✐♥❣

❈❧❛((✿ ▼❛❧❡ ❙✉❜❈❧❛((❖❢✿ &❡()♦♥❴❍✉♠❛♥❇❡✐♥❣

❈❧❛((✿ ❊♠♣❧♦②❡❡

❈❧❛((✿ ❈❤✐❧❞ ❙✉❜❈❧❛((❖❢✿rT S (♦♠❡¬❊♠♣❧♦②❡❡

■♥❞✐✈✐❞✉❛❧✿ ❛❧❡① ❚②♣❡(✿rT S (♦♠❡ ▼❛❧❡✱ &❡()♦♥

✹✳✻ ❚❤❡ &❤'❡❡ (❡♠❛♥&✐❝( ✐♥ ❉❖▲

■♥ (❤✐- -❡❝(✐♦♥ ❧❡( S = ((Oi)i∈I,(Aij)i,j∈I) ❜❡ ❛ ♥❡(✇♦0❦ ♦❢ OWL ♦♥(♦❧♦❣✐❡-✳ ❲❡

❞❡♥♦(❡ C(S)(❤❡ ❝♦❧✐♠✐( ♦♥(♦❧♦❣② ♦❢ (❤❡ ❞✐❛❣0❛♠ ❛--♦❝✐❛(❡❞ (♦ S✱ 0❡❣❛0❞❧❡-- ✐❢ (❤❡

❛--✉♠♣(✐♦♥ ❛❜♦✉( (❤❡ ❛❧✐❣♥♠❡♥(- ✐♥ S ✐- (❤❛( (❤❡② ✉-❡ -✐♥❣❧❡✱ ✐♥(❡❣0❛(❡❞ ♦0 ❝♦♥(❡①✲

(✉❛❧✐-❡❞ -❡♠❛♥(✐❝-✳ ❚❤❡ ♠♦❞❡❧ ❝❧❛-- ♦❢ C(S)✐- ❞❡♥♦(❡❞JC(S)K✳

❚❤❡♦'❡♠ ✶✳ ✶✳ ■❢ $❤❡ ❛❧✐❣♥♠❡♥$- ♦❢S ✉-❡ ❙✐♥❣❧❡❉♦♠❛✐♥ ❛♥❞ $❤❡ ❞✐❛❣1❛♠ ♦❢ S ✐-

❝♦♥♥❡❝$❡❞✱ $❤❡♥JC(S)K✐- ✐♥ ❜✐❥❡❝$✐♦♥ ✇✐$❤ M odsim(S)✳

✷✳ ■❢ $❤❡ ❛❧✐❣♥♠❡♥$- ♦❢ S ✉-❡ ●❧♦❜❛❧❉♦♠❛✐♥✱ $❤❡♥ JC(S)K ✐- ✐♥ ❜✐❥❡❝$✐♦♥ ✇✐$❤ $❤❡

❝❧❛--M odint(S)♦❢ ✐♥$❡❣1❛$❡❞ ♠♦❞❡❧-((mi),(γi)) ♦❢S ✇❤❡1❡γi ❛1❡ ✐♥❝❧✉-✐♦♥-✳

✸✳ ■❢ $❤❡ ❛❧✐❣♥♠❡♥$- ♦❢ S ✉-❡ ❈♦♥-❡①-✉❛❧✐0❡❞❉♦♠❛✐♥✱ $❤❡♥ JC(S)K✐- ✐♥ ❜✐❥❡❝$✐♦♥

✇✐$❤M odcon(S)✳

❉❖▲ ✐- -✉♣♣♦0(❡❞ ❜② ❖♥(♦❤✉❜ ✭❤--♣0✿✴✴♦♥-♦❤✉❜✳♦7❣✮✱ ❛ ❲❡❜✲❜❛-❡❞ 0❡♣♦-✐(♦0②

❡♥❣✐♥❡ ❢♦0 ♠❛♥❛❣✐♥❣ ❞✐-(0✐❜✉(❡❞ ❤❡(❡0♦❣❡♥♦✉- ♦♥(♦❧♦❣✐❡-✳ ❚❤❡ ❜❛❝❦✲❡♥❞ ♦❢ ❖♥(♦❤✉❜

✐- (❤❡ ❍❡(❡0♦❣❡♥❡♦✉- ❚♦♦❧ ❙❡( ❍❊❚❙ ❬✶✽❪ ✇❤✐❝❤ ✐- ✉-❡❞ ❢♦0 ♣❛0-✐♥❣✱ -(❛(✐❝ ❛♥❛❧②-✐-

❛♥❞ ♣0♦♦❢ ♠❛♥❛❣❡♠❡♥( ♦❢ ♦♥(♦❧♦❣✐❡-✳ ❍❊❚❙ -✉♣♣♦0(- ❛❧✐❣♥♠❡♥(- ❛♥❞ ❝♦♠❜✐♥❛(✐♦♥-✿

✐( ❣❡♥❡0❛(❡- (❤❡ ❞✐❛❣0❛♠ ♦❢ ❛♥ ❛❧✐❣♥♠❡♥( ❛❝❝♦0❞✐♥❣ (♦ (❤❡ ❛--✉♠♣(✐♦♥ ♦♥ (❤❡ ❞♦♠❛✐♥

❛♥❞ ❝❛♥ ❝♦♠♣✉(❡ ❝♦❧✐♠✐(- ♦❢ ❖❲▲ ♦♥(♦❧♦❣✐❡- ❛✉(♦♠❛(✐❝❛❧❧②✳

✺ ❈♦♥❝❧✉'✐♦♥' ❛♥❞ ❋✉,✉-❡ ❲♦-❦

❖✉0 (❤❡♦0❡(✐❝❛❧ ❝♦♥(0✐❜✉(✐♦♥- (♦ (❤❡ ❢♦✉♥❞❛(✐♦♥- ♦❢ ♦♥(♦❧♦❣② ❛❧✐❣♥♠❡♥( ❛♥❞ ❝♦♠❜✐✲

♥❛(✐♦♥ ❤❛✈❡ ❛ ♣♦(❡♥(✐❛❧❧② ❧❛0❣❡ ✐♠♣❛❝( ♦♥ ❢✉(✉0❡ ❛❧✐❣♥♠❡♥( ♣0❛❝(✐❝❡- ❛♥❞ 0❡❛-♦♥✐♥❣✳

❘❡❣❛0❞❧❡-- ♦❢ (❤❡ -❡♠❛♥(✐❝ ♣❛0❛❞✐❣♠ ❡♠♣❧♦②❡❞✱ ❵0❡❛-♦♥✐♥❣✬ ✇✐(❤ ❛❧✐❣♥♠❡♥(- ✐♥✈♦❧✈❡-

❛( ❧❡❛-( (❤0❡❡ ❧❡✈❡❧-✿ ✭✶✮ (❤❡ ✜♥❞✐♥❣✴❞✐-❝♦✈❡0② ♦❢ ❛❧✐❣♥♠❡♥(- ✭♦❢(❡♥ ❜❛-❡❞ ❤❡❛✈✐❧② ♦♥

-(❛(✐-(✐❝❛❧ ♠❡(❤♦❞-✮✱ ✭✷✮ (❤❡ ❝♦♥-(0✉❝(✐♦♥ ♦❢ (❤❡ ❛❧✐❣♥❡❞ ♦♥(♦❧♦❣② ✭(❤❡ ❵❝♦❧✐♠✐(✬✮✱ ❛♥❞

✭✸✮ 0❡❛-♦♥✐♥❣ ♦✈❡0 (❤❡ ❛❧✐❣♥❡❞ 0❡-✉❧(✱ 0❡-♣❡❝(✐✈❡❧② ❞❡❜✉❣❣✐♥❣ ❛♥❞ 0❡♣❛✐0✱ ❝❧♦-✐♥❣ (❤❡

❧♦♦♣ (♦ ✭✶✮✳ ❖✉0 ❝♦♥(0✐❜✉(✐♦♥- ✐♥ (❤✐- ♣❛♣❡0 ❛❞❞0❡-- ❧❡✈❡❧- ✭✷✮ ❛♥❞ ✭✸✮✳

❘❡❣❛0❞✐♥❣ ✭✷✮✱ ♣❧❛(❢♦0♠- -✉❝❤ ❛- ❇✐♦♣♦0(❛❧ ✭✇✐(❤ ❤✉♥❞0❡❞ (❤♦✉-❛♥❞- ♦❢ ♠❛♣✲

♣✐♥❣-✮ ✐❧❧✉-(0❛(❡ (❤❛( ♠❛♣♣✐♥❣- ❜❡(✇❡❡♥ ♦♥(♦❧♦❣✐❡-✱ ♦♥(♦❧♦❣② ♠♦❞✉❧❡-✱ ❛♥❞ (❤❡ ❝♦♥✲

❝❡♣(- ❛♥❞ ❞❡✜♥✐(✐♦♥- ❧✐✈✐♥❣ ✐♥ (❤❡♠✱ ❛0❡ ♦❢ ❣0❡❛( ✐♠♣♦0(❛♥❝❡ (♦ -✉♣♣♦0( 0❡✲✉-❡✳ ❚❤❡

✐♠♣♦0(❛♥❝❡ ♦❢ ❛❧✐❣♥♠❡♥( ❤❛- ❛❧-♦ ❜❡❡♥ ✇❡❧❧ ❞❡♠♦♥-(0❛(❡❞ ❢♦0 ❢♦✉♥❞❛(✐♦♥❛❧ ♦♥(♦❧♦✲

❣✐❡- ✐♥ (❤❡ 0❡♣♦-✐(♦0② ❘❖▼❯▲❯❙ ❬✶✸❪✳ ■♥ (❤❡ ❝❛-❡ ♦❢ ❇✐♦♣♦0(❛❧✱ (❤❡ ❉❖▲ ❧❛♥❣✉❛❣❡

❛❧❧♦✇- (♦ ❞❡❝❧❛0❛(✐✈❡❧② ♠❛♥❛❣❡ -❡(- ♦❢ ❛❧✐❣♥♠❡♥(-✱ ❛♥❞ (♦ ❣✐✈❡ ♣0❡❝✐-❡ -❡♠❛♥(✐❝-✳ ■♥

(❤❡ ❝❛-❡ ♦❢ ❘❖▼❯▲❯❙✱ ✐( ❛❧❧♦✇- (♦ ❛❧✐❣♥ ♦♥(♦❧♦❣✐❡- -✉❝❤ ❛- ❉♦❧❝❡ ♦0 ❇❋❖ ❡①♣0❡--❡❞

Références

Documents relatifs

This position paper argues that feature clustering methods using Emergent Self-Organizing Maps over streaming data (UbiSOM) [Silva et al., 2012], [Silva and Marques, 2010b] can

It adopts the block coordinate descent (BCD) technique for iterative ontology alignment proposed by us [14] to improve the convergence of the iterative process. Briefly, Optima+ is

In fact, the establishment of links between or among multilingual data sources would also contribute to the localisation issue, since it would transform mono- lingual, isolated,

We present ANISE (an ANatomIc SEmantic annotator), a framework for specifying TFs based on semantic annotations. TFs are based on pre-elaborated semantic annotations of volumetric

In this paper we claim that it is possi- ble to combine PR-NORs with R2RML mappings for building ontologies from relational database content, i.e., transforming the database

Our approach has been implemented and evaluated in Silk [16], a link discovery framework which generates RDF links between data items based on linkage rules which are expressed

Human experts evaluated the samples using the evaluation tool used in [18] for the cultural heritage and Library track data, and a similar tool for the BioPortal data, and

However, apart from the concern about the accuracy of the mapping method used here, two problems are apparent to which we do not yet have a satisfactory solution: the lack of a