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Foundations of Databases
TLDR
This book discusses Languages, Computability, and Complexity, and the Relational Model, which aims to clarify the role of Semantic Data Models in the development of Query Language Design. Expand
Data on the Web: From Relations to Semistructured Data and XML
TLDR
A Syntax for Data: Typing semistructured data and the Lore system and database products supporting XML are explained. Expand
The Lorel query language for semistructured data
TLDR
The main novelties of the Lorel language are the extensive use of coercion to relieve the user from the strict typing of OQL, which is inappropriate for semistructured data; and powerful path expressions, which permit a flexible form of declarative navigational access and are particularly suitable when the details of the structure are not known to the user. Expand
Complexity of answering queries using materialized views
TLDR
The complexity of the problem of answering queries using materialized views is studied and it is shown that the complexity depends on whether views are assumed to store all the tuples that satisfy the view definition, or only a subset of it. Expand
Detecting changes in XML documents
TLDR
This work is motivated by the support for change control in the context of the Xyleme project that is investigating dynamic warehouses capable of storing massive volumes of XML data, and offers a diff algorithm for XML data that runs in average in linear time vs. quadratic time. Expand
Querying Semi-Structured Data
TLDR
The main purpose of the paper is to isolate the essential aspects of semistructured data, and survey some proposals of models and query languages for semi-structured data. Expand
Foundations of Databases: The Logical Level
TLDR
Foundations of Databases presents indepth coverage of this theory and surveys several emerging topics and presents a unifying and contemporary perspective on the field. Expand
Adaptive on-line page importance computation
TLDR
A new algorithm OPIC is introduced that works on-line, and uses much less resources, and does not require storing the link matrix, and is used to focus crawling to the most interesting pages. Expand
PARIS: Probabilistic Alignment of Relations, Instances, and Schema
TLDR
This work presents paris, an approach for the automatic alignment of ontologies, which aligns not only instances, but also relations and classes and provides a truly holistic solution to the problem of ontology alignment. Expand
Lore: a database management system for semistructured data
TLDR
This paper provides an overview of these aspects of the Lore system, as well as other novel features such as dynamic structural summaries and seamless access to data from external sources. Expand
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