prikaz prve stranice dokumenta Dinamičko prepoznavanje dijelova web stranica
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master's thesis
Dinamičko prepoznavanje dijelova web stranica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:332093
Tenodi, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Tenodi, T. (2015). Dinamičko prepoznavanje dijelova web stranica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:332093

Tenodi, Tomislav. "Dinamičko prepoznavanje dijelova web stranica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:332093

Tenodi, Tomislav. "Dinamičko prepoznavanje dijelova web stranica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:332093

Tenodi, T. (2015). 'Dinamičko prepoznavanje dijelova web stranica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:332093

Tenodi T. Dinamičko prepoznavanje dijelova web stranica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:332093

T. Tenodi, "Dinamičko prepoznavanje dijelova web stranica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:332093

Metadata
TitleDinamičko prepoznavanje dijelova web stranica
Title (english)Dynamic identification of web page parts
AuthorTomislav Tenodi
MentorKrešimir Fertalj (mentor)
Committee memberKrešimir Fertalj (predsjednik povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
Committee memberBoris Milašinović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Web, s gotovo milijardu stranica, predstavlja današnji glavni izvor podataka. Semantički web ili standardi, kao Schema.org omogućuju programerima stranica da naprave svoje stranice dostupne bez ljudskog utjecaja. No, programeri često ne dijele interes za tim konceptima. Prednost i novitet koju dinamički model prepoznavanja semantičkih dijelova web stranica, napravljen ovim radom, donosi sastoji se u mogućnosti dohvaćanja stranica sa semantičkom organizacijom bez nužne ovisnosti o programerima. S druge strane, model je fleksibilan i može iskoristiti prednosti metapodataka semantičkog weba i metapodataka standarda Schema.org te tako predstavlja univerzalnu početnu točku za semantičkom segmentacijom web stranica. Osim dinamičkog modela, napravljena je označna ekstenzija i poslužitelj. Označna ekstenzija, napravljena kao Google Chrome ekstenzija, omogućava označivačima diljem svijeta da označuju stranice, a zatim ih pošalju na poslužitelj. Poslužitelj, osim pohranjivanja označenih stranica, služi za prezentaciju i dokumentaciju sveukupnog koncepta, perzistenciju modela i sadrži komponentu za provjeru kvalitete označenih stranica. Poslužitelj također pruža API putem kojeg se može pristupiti dinamičkom modelu i preko kojeg se dobiva semantički segmentirana web stranica. Sve tri opisane komponente s budućim Oculi agentima, koji će koristiti API na poslužitelju, čine sustav Oculi. Namjena sustava Oculi je približiti web svim korisnicima i dati svim statičkim komponentama stranica semantičku vrijednost.
Abstract (english)
Web, with nearly a billion websites online, acts as the primary data source of today's people. Semantic web or other standards, like Schema.org enable website programmers to make their websites accessible without human interaction. However, these concepts often do not represent interest to website programmers. The advantage and novelty that dynamic model for semantic recognition of website parts, discussed within this work, brings along is that it allows retrieving semantically organised websites without the necessary dependency towards programmers. On the other hand, it is flexible and can create advantage of the usage of semantic web metadata or Schema.org metadata, which makes it universal starting point for semantic segmentation of websites. Along with dynamic model, labeling extension and server were created. Labeling extension, made as Google Chrome extension, allows taggers across the world to label websites which are then sent to server. Server, in addition to storing labeled website, serves for presentation and documentation of overall concept, persistence of the model and contains component for evaluating the quality of labeled websites. Server also provides an API, through which dynamic model is used and one can get semantically segmented website. All three described components, together with the future Oculi agents, who will use the API of the server, make the Oculi system. The Oculi system intends to bring web closer to all of its users and to give all static page components semantic value.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:332093
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 12:27:14