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Gustavo O. Arocena

dblp:52/6896 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data models and query languages · 61% Data integration and cleaning · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › data transformation
data restructuring
0.011998
WebOQL: Restructuring Documents, Databases, and Webs · ICDE 1998
Data models and query languages › query language
semistructured query language
0.011998
WebOQL: Restructuring Documents, Databases, and Webs · ICDE 1998
Data models and query languages › query language
web query languages
0.011998
WebOQL: Restructuring Documents, Databases, and Webs · ICDE 1998
Data integration and cleaning › data extraction
web data extraction
0.011998
WebOQL: Restructuring Documents, Databases, and Webs · ICDE 1998
YearPublicationVenuePosition
1998 WebOQL: Restructuring Documents, Databases, and Webs
abstract
The widespread use of the Web has originated several new data management problems, such as extracting data from Web pages and making databases accessible from Web browsers, and has renewed the interest in problems that had appeared before in other contexts, such as querying graphs, semistructured data and structured documents. Several systems and languages have been proposed for solving each of these Web data management problems, but none of these systems addresses all the problems from a unified perspective. Many of these problems essentially amount to data restructuring: we have information represented according to a certain structure and we want to construct another representation of (part of it) using a different structure. We present the WebOQL system, which supports a general class of data restructuring operations in the context of the Web. WebOQL synthesizes ideas from query languages for the Web, for semistructured data and for Website restructuring.
Gustavo O. Arocena, Alberto O. Mendelzon
ICDE1
1997 Applications of a Web Query Language
Gustavo O. Arocena, Alberto O. Mendelzon, George A. Mihaila
Comput. Networks1