Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 241,172,651 papers from all fields of science
Search
Sign In
Create Free Account
Data-intensive computing
Known as:
Data-intensive research
, Data intensive
, Data-intensive tasks
Expand
Data-intensive computing is a class of parallel computing applications which use a data parallel approach to processing large volumes of data…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
28 relations
Apache Hadoop
Apache Hive
Big data
C++
Expand
Broader (1)
Parallel computing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Parallel Optimization for Data-Intensive Service Composition
Shui-Guang Deng
,
Longtao Huang
,
Bin Wu
,
Lirong Xiong
2013
Corpus ID: 62517952
The age of Big Data has inspired the appearance and application of data-intensive Web service. In most cases, multiple data…
Expand
2012
2012
Semiautomatic, Semantic Assistance to Manual Curation of Data in Smart Oil Fields
C. Chelmis
,
Jing Zhao
,
Vikrambhai S. Sorathia
,
S. Agarwal
,
V. Prasanna
2012
Corpus ID: 7187243
Vast volumes of data are continuously generated in smart oilfields from swarms of sensors. On one hand, increasing amounts of…
Expand
2009
2009
Deciding Query Entailment for Fuzzy SHIN\mathcal{SHIN} Ontologies
Jing-Wei Cheng
,
Zong-Min Ma
,
Fu Zhang
,
Xing Wang
Asian Semantic Web Conference
2009
Corpus ID: 23998975
Significant research efforts in the Semantic Web community are recently directed toward the representation and reasoning with…
Expand
2007
2007
Data Complexity in the EL family of DLs
Adila Alfa Krisnadhi
,
C. Lutz
Description Logics
2007
Corpus ID: 14879338
In recent years, lightweight description logics (DLs) have experienced increased interest because they admit highly efficient…
Expand
2006
2006
Learning object models from semistructured Web documents
Shiren Ye
,
Tat-Seng Chua
IEEE Transactions on Knowledge and Data…
2006
Corpus ID: 9039769
This paper presents an automated approach to learning object models by means of useful object data extracted from data-intensive…
Expand
2005
2005
Visual HTML Document Modeling for Information Extraction
Radek Burget
2005
Corpus ID: 6201012
Improvement in the enrichment of a gas in hydrogen sulphide, comprising selective absorption by a liquid in a primary absorption…
Expand
2003
2003
Active Learning for Statistical Machine Translation
Chris Callison-Burch
2003
Corpus ID: 60120006
Disclosed is a training projectile having the same ballistic characteristic as the operational projectile. The training…
Expand
1992
1992
A Conceptual Model for Dynamic Clustering in Object Databases
Qing Li
,
J. Smith
Very Large Data Bases Conference
1992
Corpus ID: 2130681
1 Introduct ion In object-oriented database systems, it is assumed silently that fundamental object types and inter-object…
Expand
1992
1992
Using type transformation in database system implementation
Leonidas Fegaras
,
D. Stemple
1992
Corpus ID: 18174230
We propose the use of semi-automatic methods for the translation of abstract database programs into efficient lower level user…
Expand
Highly Cited
1990
Highly Cited
1990
Enhancing Performance in a Persistent Object Store: Clustering Strategies in O2
V. Benzaken
,
C. Delobel
Workshop on Persistent Objects
1990
Corpus ID: 2112110
We address the problem of clustering complex data on disk to minimize the number of I/O operations in data intensive applications…
Expand