Jun Pyo Park

dblp:66/7956 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 2 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 · 50% Query processing and optimization · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › XML query processing
twig pattern matching
0.212013
Lineage Encoding: An Efficient Wireless XML Streaming Supporting Twig Pattern Queries · IEEE Trans. Knowl. Data Eng. 2013
Data models and query languages
XML data management
0.212013
Lineage Encoding: An Efficient Wireless XML Streaming Supporting Twig Pattern Queries · IEEE Trans. Knowl. Data Eng. 2013
YearPublicationVenuePosition
2013 Lineage Encoding: An Efficient Wireless XML Streaming Supporting Twig Pattern Queries
abstract
In this paper, we propose an energy and latency efficient XML dissemination scheme for the mobile computing. We define a novel unit structure called G-node for streaming XML data in the wireless environment. It exploits the benefits of the structure indexing and attribute summarization that can integrate relevant XML elements into a group. It provides a way for selective access of their attribute values and text content. We also propose a lightweight and effective encoding scheme, called Lineage Encoding, to support evaluation of predicates and twig pattern queries over the stream. The Lineage Encoding scheme represents the parent-child relationships among XML elements as a sequence of bit-strings, called Lineage Code(V, H), and provides basic operators and functions for effective twig pattern query processing at mobile clients. Extensive experiments using real and synthetic data sets demonstrate our scheme outperforms conventional wireless XML broadcasting methods for simple path queries as well as complex twig pattern queries with predicate conditions.
Jun Pyo Park, Chang-Sup Park, Yon Dohn Chung
IEEE Trans. Knowl. Data Eng.1
2010 Energy and Latency Efficient Access of Wireless XML Stream
abstract
In this article, we address the problem of delayed query processing raised by tree-based index structures in wireless broadcast environments, which increases the access time of mobile clients. We propose a novel distributed index structure and a clustering strategy for streaming XML data that enables energy and latencyefficient broadcasting of XML data. We first define the DIX node structure to implement a fully distributed index structure which contains the tag name, attributes, and text content of an element, as well as its corresponding indices. By exploiting the index information in the DIX node stream, a mobile client can access the stream with shorter latency. We also suggest a method of clustering DIX nodes in the stream, which can further enhance the performance of query processing in the mobile clients. Through extensive experiments, we demonstrate that our approach is effective for wireless broadcasting of XML data and outperforms the previous methods.
Jun Pyo Park, Chang-Sup Park, Yon Dohn Chung
J. Database Manag.1