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  1. Proceedings of the on SIGMOD/PODS 2012 PhD Symposium (PhD '12)
  2. Foundational aspects of semantic web optimization
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Getting your acceptance rate to 80%: a checklist for publishing
Towards an extensible efficient event processing kernel
Data quality and integration in collaborative environments
Foundational aspects of semantic web optimization
High performance spatial query processing for large scale scientific data
Clustering techniques for open relation extraction
Linking records in dynamic world
Holistic indexing: offline, online and adaptive indexing in the same kernel
RecDB: towards DBMS support for online recommender systems
An adaptive event stream processing environment
Foundations of regular expressions in XML schema languages and SPARQL
Dynamic management of resources and workloads for RDBMS in cloud: a control-theoretic approach
Efficient optimization and processing for distributed monitoring and control applications

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Foundational aspects of semantic web optimization

Content Provider ACM Digital Library
Author Skritek, Sebastian
Abstract The goal of the semantic web is to make the information available on the web easier accessible. Its idea is to provide machine readable meta-data to enable the development of tools that support users in finding the relevant data. The goal of the thesis is to shed some light onto different foundational aspects of optimization tasks occurring in the field of the Semantic Web. Examples include the redundancy elimination in RDF data or static query analysis of (well-designed) SPARQL queries. Towards this goal, we already contributed several results.
Ending Page 50
Page Count 6
Starting Page 45
File Format PDF
ISBN 9781450313261
DOI 10.1145/2213598.2213611
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-05-20
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Semantic web Tuple generating dependencies Conjunctive queries (cqs) Counting complexity Sparql Rdf Optimization Complexity
Content Type Text
Resource Type Article
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