D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proc. of the WIIW-01, 2001.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....recent works [RRSM01, RMR00, RS01, SRLS02] discuss the issue of building large scale data integration systems in detail and the crucial role of schema matching in this process. The work [SR01] discusses the impact of XML on data sharing, in particular schema matching and object matching. The work [EJX01] discusses a schema matching approach that is similar to LSD, but using a different set of base learners and a simple averaging method to combine the base learners predictions. 6.3 Related Work in Learning We now briefly survey works that are related to learning issues in this dissertation. ....

D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proceedings of the WIIW Workshop, 2001.

....recent works [RRSM01, RMR00, RS01, SRLS02] discuss the issue of building large scale data integration systems in detail and the crucial role of schema matching in this process. The work [SR01] discusses the impact of XML on data sharing, in particular schema matching and object matching. The work [EJX01] discusses a schema matching approach that is similar to LSD, but using a different set of base learners and a simple averaging method to combine the base learners predictions. 6.3 Related Work in Learning We now briefly survey works that are related to learning issues in this dissertation. ....

D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proceedings of the WIIW Workshop, 2001.

....requires a fee and or specialpermission from the Endowment Proceedings of the 28 th VLDB Conference, Hong Kong, China, 2002 Erhard Rahm rahm informatik.uni leipzig.de use of such applications. Numerous researchers have addressed the schema matching problem either for specific applications [1, 4, 5, 7, 8, 9, 11, 15, 16] or in a more generic way for different applications and schema languages [12, 13, 14] The proposed techniques for automating schema matching exploit various types of schema information, e.g. element names, data types and structural properties [2, 12, 15, 16, 9] as well as characteristics of data ....

.... specific applications [1, 4, 5, 7, 8, 9, 11, 15, 16] or in a more generic way for different applications and schema languages [12, 13, 14] The proposed techniques for automating schema matching exploit various types of schema information, e.g. element names, data types and structural properties [2, 12, 15, 16, 9] as well as characteristics of data instances [7, 8, 14, 11, 9] Some approaches utilize auxiliary sources, such as taxonomies, dictionaries and thesauri [2, 9] To achieve high match accuracy for a large variety of schemas, a single technique (e.g. name matching) is unlikely to be successful. ....

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Embley, D.W. et al.: Multifaceted Exploitation of Metadata for Attribute Match Discovery in Information Integration. WIIW 2001

....the data frame library. Mapping object sets to data frames becomes essentially a schema matching problem. Researchers have used several different techniques for schema matching, including instance or schema based, elementor structure level, and constraint or linguistic based matching [RB01] EJX01] Because one of our schemas, the data frame library, has neither instances nor structure, we are limited to element level linguistic based matching. To generate a mapping from object sets to data frames, we compare each lexicalobject set name with each data frame name and generate a similarity ....

....as well as its name and choose the highest similarity as the similarity between the object set and the data frame. Some name matching techniques have also used synonyms from a thesaurus. This method, however, introduces the possibility of false positive matches between words with multiple senses [EJX01] For example, address might match with speech even though the address referred to is a mailing address. Therefore, we use only manually specified aliases rather than synonyms from a general thesaurus. We use four character based string matching techniques to generate similarities. First, we ....

D. W. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proceedings of the International Workshop on Information Integration on the Web (WIIW'01), pages 110--117, Rio de Janeiro, Brazil, April 2001. 66

....let Sch ema 2 be a source sch ma S. Figure 2sh ws th derivation over th e source sch ema and th e source elements in th source to target mapping. Thsh ded boxes denote virtual object sets, and th e dash d lines denote virtual relationsh ip sets. Th ere are two main steps inth e derivation (see [EJX01, XE02] for details) In the notation, a relz ion r has a set of attributes, which corresponds to the names ofl exical or non l exical object sets; attr(r) denotes the set of attributes in r;and r denotes the number oftupl es in r. appl ying Skolemization operations, we introduce functional ....

....basic features location address (c) Figure 2: Derivation of Virtual Object and Relationsh ip Sets from Sch ema 2 for Sch ema 1 Step 1: Use instance level information to derive virtual object and relationship sets. Th implemented match ing system applies expected data value tech niques [EJX01] to derive virtual object and relationsh ip sets. Figure 2(a) sh ows th e virtual object and relationsh ip sets derived after applying th e following instance level transformations. Derivation oflo catio n descriptio # andHo use lo catio n descriptio # . Houseloc ationdesc # Golf course # ....

D.W. Embley, D. Jackman, and Li Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. n Proceedings of the International Workshop on Information Integration on the Web (WIIW'01), pages 110--117, Rio de Janeiro, Brazil, April 2001.

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D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proc. of the WIIW-01, 2001.

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D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proceedings of the WIIW Workshop, 2001.

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Embley, D.W. et al: Multifaceted Exploitation of Metadata for attribute Match Discovery in Information Integration. WIIW (2001).

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Embley, D.W., Jackman, D., Xu, L.: Multifaceted exploitation of metadata for attribute match discovery in information integration. In: Workshop on Information Integration on the Web. (2001) 110--117

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D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proc. of the WIIW-01, 2001.

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D. W. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Workshop on Information Integration on the Web, pages 110--117, 2001.

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D. Embley, D. Jackman, and L. Xu. Multifaceted exploitation of metadata for attribute match discovery in information integration. In Proceedings of the WIIW Workshop, 2001.

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