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Title:Obdelava podatkov na velikih zbirkah za tekstovno iskanje v skoraj realnem času, na primeru podatkov kulturne dediščine
Authors:ID Berke, Nino (Author)
ID Zorman, Milan (Mentor) More about this mentor... New window
Files:.pdf UN_Berke_Nino_2017.pdf (1,62 MB)
MD5: F413E469A08786D59D191C563BD35688
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V okviru diplomske naloge smo izdelali novo rešitev za evropsko digitalno knjižnico Europeana. Razvita rešitev preko spletnega programskega vmesnika omogoča evropskim kulturnim ustanovam veliko hitrejšo objavo svojih zapisov oziroma del, v primerjavi s trenutnim procesom, na spletni portal evropske digitalne knjižnice Europeana. Spletni programski vmesnik omogoča tudi zelo hitro obdelavo podatkov, ne glede na že prisotno količino le-teh. Prav tako smo na tej veliki zbirki podatkov implementirali tekstovno iskanje v skoraj realnem času ter tako omogočili čim hitrejši dostop do informacij preko spletnega portala Europeana.
Keywords:tekstovno iskanje, velike zbirke podatkov, kulturna dediščina, indeksiranje, Europeana
Place of publishing:[Maribor
Publisher:N. Berke
Year of publishing:2017
PID:20.500.12556/DKUM-66348 New window
UDC:004.65:004.451(043.2)
COBISS.SI-ID:20704022 New window
NUK URN:URN:SI:UM:DK:9YDMOEF4
Publication date in DKUM:03.07.2017
Views:2414
Downloads:165
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Processing data on large indexes for full text search in near real-time using the example of cultural heritage data
Abstract:As part of this thesis we have developed a new solution for European digital library – Europeana. Newly developed solution allows European cultural institutions to post their publications on Europeana must faster, compared to the current process. We have developed a new web API which provides much faster data processing regardless of the amount of the current existing data. We also added support for full-text search in near real time and therefore enabling users to quickly find information about posted publications on Europeana portal.
Keywords:full-text search, large indexes, cultural heritage data, indexing, Europeana


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