System architecture for information processing

Ozkarahan, Esen A.

doi:10.1016/0306-4573(91)90089-5

Cited by 3 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in the Introduction, system architecture [12] should ensure the independence from system mechanisms operating in the area of knowledge to which the information cataloged and searched by the system refers. Generally, it is assumed that the system uses information concerning:…”

Section: System Architecturementioning

confidence: 99%

Computer Catalog and Semantic Search of Data in the Domain of Cast Iron Processing

Rojek

Regulski

Wilk-Kołodziejczyk

et al. 2017

Archives of Foundry Engineering

View full text Add to dashboard Cite

The aim of this study is to design and implement a computer system, which will allow the semantic cataloging and data retrieval in the field of cast iron processing. The intention is to let the system architecture allow for consideration of data on various processing techniques based on the information available or searched by a potential user. This is achieved by separating the system code from the knowledge of the processing operations or from the chemical composition of the material being processed. This is made possible by the creation and subsequent use of formal knowledge representation in the form of ontology. So, any use of the system is associated with the use of ontologies, either as an aid for the cataloging of new data, or as an indication of restrictions imposed on the data which draw user attention. The use of formal knowledge representation also allows consideration of semantic meaning, a consequence of which may be, for example, returning all elements in subclasses of the searched process class or material grade.

show abstract

Section: System Architecturementioning

confidence: 99%

Computer Catalog and Semantic Search of Data in the Domain of Cast Iron Processing

Rojek

Regulski

Wilk-Kołodziejczyk

et al. 2017

Archives of Foundry Engineering

View full text Add to dashboard Cite

show abstract

“…Ozkarahan discussed searching on non-hierarchic document clusters on the RAP.3 system [75]. The clusters of document vectors and a centroid representing the vectors are distributed to a number of processors.…”

Section: Clusteringmentioning

confidence: 99%

“…One of the main methods used to improve retrieval effectiveness is to utilise one of the myriad term weightings schemes that are available. The dominant scheme has been the vector processing model with systems such as RAP.3 [75], the DowQuest [63], Transputer Networks [58][59][60][61][62]84] and POOMA [68], all using it in various forms. PADRE [20] offers a number of weighting schemes based on the inverse document frequency (IDF) measure.…”

Section: Term Weighting Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Parallel computing in information retrieval – an updated review

MacFarlane

Robertson

McCann

1997

Journal of Documentation

View full text Add to dashboard Cite

This is the accepted version of the paper.This version of the publication may differ from the final published version. The progress of parallel computing in Information Retrieval (IR) is reviewed. In particular we stress the importance of the motivation in using parallel computing for Text Retrieval. We analyse parallel IR systems using a classification due to Rasmussen [1] and describe some parallel IR systems. We give a description of the retrieval models used in parallel Information PermanentProcessing.. We describe areas of research which we believe are needed.

show abstract

Hardware and software platform for information processing

Ozkarahan

1995

Lecture Notes in Computer Science

View full text Add to dashboard Cite

System architecture for information processing

Cited by 3 publications

References 17 publications

Computer Catalog and Semantic Search of Data in the Domain of Cast Iron Processing

Computer Catalog and Semantic Search of Data in the Domain of Cast Iron Processing

Parallel computing in information retrieval – an updated review

Hardware and software platform for information processing

Contact Info

Product

Resources

About