Sophie Cluet. Modeling and Querying Semi-Structured Data. In Maria Teresa Pazienza, editor, Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, International Summer School, SCIE-97, volume 1299 of Lecture Notes in Computer Science, pages 192-213, Frascati, Italy, 1997. Springer Verlag.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....[23] Query languages are used to express both queries and transformations: queries return a subset of a collection of data, while transformations may construct a new graph. The speci c solutions di er with respect to their target application, expressive power, and restructuring capabilities [15]. Finally, query optimization for SSD is another issue which has received a limited attention. Among the subthemes of this issue, we cite in particular the evaluation techniques for path expressions and for queries on self describing data [14] 32] 20] Relevant Research Activities at the ....

S. Cluet. Modeling and querying semi-structured data. SCIE '97, 1997.

....information sources [18] and so on. The lack of a fixed a priori schema and of information on the data structures makes it difficult handling semi structured data through conventional database technology. The research community has proposed two main approaches to model semistructured data [5,9]. The first one is a more traditional approach and consists of adapting existing data models to deal with semi structured data. In particular, extensions to the object oriented data model have been proposed with less restrictive type systems [8,20] The second approach, by contrast, does not have ....

S. Cluet. Modeling and Querying Semi-Structured Data. In M. T. Pazienza, editor, Information Extraction. LNAI 1299, pages 192--213, 1997.

....optional description of its grammar. Such a grammar can be used by applications for structural validations. Data in XML is grouped into elements delimited by tags. Fig. 1 shows an example of a simple XML document. XML Data is self describing and bears obvious similarities to semistructured data [1, 13, 22]. However, as already mentioned XML is designed to be a mark up language only. Therefore it does not have a associated data model. Nevertheless XML has several similarities with traditional data models. Attributes: XML elements may contain attributes. These attributes characterize elements. In ....

S. Cluet. Modeling and querying semi-structured data. In International Summer School on Information Extraction (SCIE), volume 1299 of Lecture Notes in Computer Science, pages 192--213. Springer-Verlag, 1997.

....generate queries from a given query and a set of exceptions, to allow a user to see how real data deviates from his original query. 5 Translation Examples In this section we demonstrate translations of queries in an SQL like language into the algebra. The choice of queries is inspired by [8] and [5]. The method used is similar to the one presented in [6] i) a e[x] map operation binds the first variable (e.g. book(IN ) b] ii) subsequent V Bind map operations bind the other variables (e.g. V Bind(p; b book) one at a time (before optimizations) iii) selections (oe) joins (1) ....

S. Cluet. Modeling and querying semi-structured data. LNIA 97. 1997.

....[24] and so on. The lack of a xed a priori schema and of information on the data structures makes it di cult handling semi structured data through conventional database technology. Currently, the research activity concerning the management of semi structured data is moving along three directions [14]: 1) techniques for gathering all kinds of information (HTML pages, images, multimedia documents and so on) from various information sources (like the Web) and for extracting structural information from them [3, 19] 2) development of data models able to represent such kinds of information and ....

.... techniques to manage them; 3) development of query execution techniques able to exploit the structural information extracted from data and of techniques to export data on the Web [2] In the data model area the research community has proposed two main approaches to model semi structured data [10, 14]. The rst one is a more traditional approach and consists of adapting existing data models to deal with semistructured data. In particular, extensions to the object oriented data model have been proposed with less restrictive type systems [13, 26] The second approach, by contrast, does not have ....

S. Cluet. Modeling and Querying Semi-Structured Data. In M. T. Pazienza, editor, Information Extraction. LNAI 1299, pages 192-213, 1997.

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Sophie Cluet. Modeling and Querying Semi-Structured Data. In Maria Teresa Pazienza, editor, Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, International Summer School, SCIE-97, volume 1299 of Lecture Notes in Computer Science, pages 192-213, Frascati, Italy, 1997. Springer Verlag.

No context found.

Sophie Cluet. Modeling and querying semi-structured data. In SCIE 1997, pages 192#213, 1997.

No context found.

Sophie Cluet, "Modeling and Querying Semi-structured Data", Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, International Summer School, SCIE-97, Frascati, Italy, pp 192-213 (1997)

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