On the Size of Full Element-Indexes for XML Keyword Search

Atilgan, Duygu; Altıngövde, İsmail Sengör; Ulusoy, Özgür

doi:10.1007/978-3-642-28997-2_63

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantage of using the xml format is that it is portable and self-describing [24]. The disadvantage of the XML format is the multiple increase in file size due to the addition of self-descriptive tags to the data [25]. When storing data in the binary file format used by client datasets, the file sizes are significantly smaller.…”

Section: Introductionmentioning

confidence: 99%

Data modelling and data processing generated by human eye movements

Kralev

Kraleva

Koprinkova–Hristova

2021

IJECE

View full text Add to dashboard Cite

Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the text format and the binary format were the most compact. Several actions related to data processing were analyzed. Based on the results obtained, it was found that the two fastest actions are respectively loading data from a binary file and storing data into a binary file. In contrast, the two slowest actions were storing the data in XML format and loading the data from a text file, respectively. Also, one of the time-consuming operations turned out to be the conversion of data from text format to binary format. Moreover, the time required to perform this action does not depend in proportion on the number of records processed.

show abstract

Section: Introductionmentioning

confidence: 99%

Data modelling and data processing generated by human eye movements

Kralev

Kraleva

Koprinkova–Hristova

2021

IJECE

View full text Add to dashboard Cite

show abstract

Software Development for Processing and Analysis of Data Generated by Human Eye Movements

Kraleva

Kralev

2023

Electronics

View full text Add to dashboard Cite

This research focuses on a software application providing opportunities for the processing and analysis of data generated by a saccade sensor with human eye movements. The main functional opportunities of the developed application are presented as well. According to the methodology of the experiments, three experiments were prepared. The first was related to visualization of the stimuli on a stimulation computer display that was integrated into the developed application as a separate module. The second experiment was related to an interactive visualization of the projection of the eye movement of the participants in the experiment onto the stimulation computer display. The third experiment was related to an analysis of aggregated data on the decision time and the number of correct responses given by the participants to visual tasks. The tests showed that the application can be used as a stimulation center to visualize the stimuli and to recreate the experimental sessions. The summary of the results led to the conclusion that the number of correct responses to the visual tasks depended both on the type of motion of the stimuli and on the size of displacement from the center of the aperture.

show abstract

On the Size of Full Element-Indexes for XML Keyword Search

Abstract: Abstract. We show that a full element-index can be as space-efficient as a direct index with Dewey ids, after compression using typical techniques.

Cited by 2 publications

References 4 publications

Data modelling and data processing generated by human eye movements

Data modelling and data processing generated by human eye movements

Software Development for Processing and Analysis of Data Generated by Human Eye Movements

Contact Info

Product

Resources

About