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Querying Semistructured Heterogeneous Information (1995)
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| Citations: | 122 - 12 self |
BibTeX
@MISC{Quass95queryingsemistructured,
author = {Dallan Quass and Anand Rajaraman and Yehoshua Sagiv and Jeffrey Ullman and Jennifer Widom},
title = {Querying Semistructured Heterogeneous Information},
year = {1995}
}
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Abstract
. Semistructured data has no absolute schema fixed in advance and its structure may be irregular or incomplete. Such data commonly arises in sources that do not impose a rigid structure (such as the World-Wide Web) and when data is combined from several heterogeneous sources. Data models and query languages designed for well structured data are inappropriate in such environments. Starting with a "lightweight" object model adopted for the TSIMMIS project at Stanford, in this paper we describe a query language and object repository designed specifically for semistructured data. Our language provides meaningful query results in cases where conventional models and languages do not: when some data is absent, when data does not have regular structure, when similar concepts are represented using different types, when heterogeneous sets are present, and when object structure is not fully known. This paper motivates the key concepts behind our approach, describes the language through a series o...
Keyphrases
semistructured heterogeneous information query language world-wide web rigid structure regular structure conventional model tsimmis project different type similar concept key concept data model several heterogeneous source heterogeneous set object structure object repository meaningful query result absolute schema semistructured data
