Multi-concept alignment and evaluation

Shenghui Wang; Antoine Isaac; Lourens Van Der Meij; Stefan Schlobach

Multi-concept alignment and evaluation

Shenghui Wang^*, Antoine Isaac, Lourens Van Der Meij, Stefan Schlobach

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

27 Downloads (Pure)

Abstract

In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.

Original language	English
Title of host publication	OM'07 Proceedings of the 2nd International Conference on Ontology Matching
Pages	61-71
Publication status	Published - 1 Dec 2007
Externally published	Yes
Event	2nd International Workshop on Ontology Matching, OM-2007 - Busan, Korea, Republic of Duration: 11 Nov 2007 → 11 Nov 2007 Conference number: 2 http://om2007.ontologymatching.org/

Publication series

Name	CEUR workshop proceedings
Publisher	Rheinisch Westfälische Technische Hochschule
Volume	304
ISSN (Print)	1613-0073

Conference

Conference	2nd International Workshop on Ontology Matching, OM-2007
Abbreviated title	OM 2007
Country/Territory	Korea, Republic of
City	Busan
Period	11/11/07 → 11/11/07
Other	Collocated with the 6th International Semantic Web Conference, ISWC-2007
Internet address	http://om2007.ontologymatching.org/

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Multi-Concept Alignment and EvaluationFinal published version, 177 KB

https://dl.acm.org/citation.cfm?id=2889668

Cite this

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title = "Multi-concept alignment and evaluation",

abstract = "In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.",

author = "Shenghui Wang and Antoine Isaac and {Van Der Meij}, Lourens and Stefan Schlobach",

year = "2007",

month = dec,

day = "1",

language = "English",

series = "CEUR workshop proceedings",

publisher = "Rheinisch Westf{\"a}lische Technische Hochschule",

pages = "61--71",

booktitle = "OM'07 Proceedings of the 2nd International Conference on Ontology Matching",

note = "2nd International Workshop on Ontology Matching, OM-2007, OM 2007 ; Conference date: 11-11-2007 Through 11-11-2007",

url = "http://om2007.ontologymatching.org/",

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T1 - Multi-concept alignment and evaluation

AU - Wang, Shenghui

AU - Isaac, Antoine

AU - Van Der Meij, Lourens

AU - Schlobach, Stefan

N1 - Conference code: 2

PY - 2007/12/1

Y1 - 2007/12/1

N2 - In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.

AB - In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.

UR - http://www.scopus.com/inward/record.url?scp=84868531086&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84868531086

T3 - CEUR workshop proceedings

SP - 61

EP - 71

BT - OM'07 Proceedings of the 2nd International Conference on Ontology Matching

T2 - 2nd International Workshop on Ontology Matching, OM-2007

Y2 - 11 November 2007 through 11 November 2007

ER -

Multi-concept alignment and evaluation

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