The Lorel Query Language for Semistructured Data

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The Lorel Query Language for Semistructured Data (1997)

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by Serge Abiteboul , Dallan Quass , Jason Mchugh , Jennifer Widom , Janet Wiener

Venue:	International Journal on Digital Libraries
Citations:	727 - 29 self

BibTeX

@ARTICLE{Abiteboul97thelorel,
    author = {Serge Abiteboul and Dallan Quass and Jason Mchugh and Jennifer Widom and Janet Wiener},
    title = {The Lorel Query Language for Semistructured Data},
    journal = {International Journal on Digital Libraries},
    year = {1997},
    volume = {1},
    pages = {68--88}
}

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Abstract

We present the Lorel language, designed for querying semistructured data. Semistructured data is becoming more and more prevalent, e.g., in structured documents such as HTML and when performing simple integration of data from multiple sources. Traditional data models and query languages are inappropriate, since semistructured data often is irregular, some data is missing, similar concepts are represented using different types, heterogeneous sets are present, or object structure is not fully known. Lorel is a user-friendly language in the SQL/OQL style for querying such data effectively. For wide applicability, the simple object model underlying Lorel can be viewed as an extension of ODMG and the language as an extension of OQL. The main novelties of the Lorel language are: (i) extensive use of coercion to relieve the user from the strict typing of OQL, which is inappropriate for semistructured data

Keyphrases

semistructured data lorel query language lorel language wide applicability different type similar concept query language main novelty user-friendly language simple integration heterogeneous set object structure structured document traditional data model sql oql style multiple source strict typing simple object model

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