Претрага
85 items
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Development of A Business Intelligence Tool For Accident Analysis in Mines
Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Uroš Pantelić. "Development of A Business Intelligence Tool For Accident Analysis in Mines" in Proceedings of the 5th International Symposium Mining And Environmental Protection, June 10-13, 2015, Vrdnik, Serbia, Belgrade : Faculty of Mining and Geology (2015) M33
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Praktikum za vežbe iz Informatike 1
Ranka Stanković, Ivan Obradović, Olivera Kitanović, Mirjana Banković. Praktikum za vežbe iz Informatike 1, Beograd : Univerzitet u Beogradu, Rudarsko-geološki fakultet, 2014 Без категорије
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Using Metadata For Content Indexing Within An OER Network
Ranka Stanković, Olivera Kitanović, Ivan Obradović, Roberto Linzalone, Giovanni Schiuma, Daniela Carlucci (2014)Ranka Stanković, Olivera Kitanović, Ivan Obradović, Roberto Linzalone, Giovanni Schiuma, Daniela Carlucci. "Using Metadata For Content Indexing Within An OER Network" in Proceedings of the Fifth International Conference on e-Learning, eLearning 2014, September 2014, Belgrade, Serbia, Belgrade : Belgrade Metropolitan University (2014) M33
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A business intelligence approach to mine safety management
Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Dejan Stevanović, Marija Radojičić (2016)Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Dejan Stevanović, Marija Radojičić . "A business intelligence approach to mine safety management" in 13th International Symposium Continuous Surface Mining, Beograd : Yugoslav Opencast Mining Committee (2016) M33
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Semantic Textual Similarity of Courses Based on Text Embeddings
This paper explores the application of textual embeddings to measure semantic similarity between educational courses’ curriculums, aiming to enhance the effectiveness of the next faculty accreditation. Leveraging state-of-the-art natural language processing techniques, we employ pre-trained embeddings to capture the semantic meaning of course descriptions. Our methodology involves transforming course curriculum texts into high-dimensional vector representations, enabling efficient and meaningful comparisons. We evaluate the proposed approach on a diverse dataset of course descriptions, employing established benchmarks for semantic textual similarity ...Olivera Kitanović, Aleksandra Tomašević, Mihailo Škorić, Ranka Stanković, Ljiljana Kolonja. "Semantic Textual Similarity of Courses Based on Text Embeddings" in Lecture Notes in Networks and Systems, Springer Nature Switzerland (2024). https://doi.org/10.1007/978-3-031-71419-1_27 М33
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Indexing of textual databases based on lexical resources: A case study for Serbian
In this paper we describe an approach to improvement of information retrieval results for large textual databases by pre-indexing documents using bag-of-words and Named Entity Recognition. The approach was applied on a database of geological projects financed by the Republic of Serbia in the last half century. Each document within this database is described by metadata, consisting of several fields such as title, domain, keywords, abstract, geographical location and the like. A bag of words was produced from these ...Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović. "Indexing of textual databases based on lexical resources: A case study for Serbian" in Semantic Keyword-based Search on Structured Data Sources : First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers, Springer (2015). https://doi.org/10.1007/978-3-319-27932-9_15 M13
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Keyword-Based Search on Bilingual Digital Libraries
This paper outlines the main features of Biblisha, a tool that offers various possibilities of enhancing queries submitted to large collections of aligned parallel text residing in bilingual digital library. Biblishsa supports keyword queries as an intuitive way of specifying information needs. The keyword queries initiated, in Serbian or English, can be expanded, both semantically, morphologically and in other language, using different supporting monolingual and bilingual resources. Terminological and lexical resources are of various types, such as wordnets, electronic ...Ranka Stanković, Cvetana Krstev, Duško Vitas, Nikola Vulović, Olivera Kitanović. "Keyword-Based Search on Bilingual Digital Libraries" in Semantic Keyword-Based Search on Structured Data Sources - Second COST Action IC1302 International KEYSTONE Conference, IKC 2016, Springer (2017). https://doi.org/10.1007/978-3-319-53640-8_10 M14
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Geologic Information System of Serbia
Geologic information system of Serbia (GeolISS) represents repository for digital archiving, query, retrieving, analysis and geologic data visualization. The GeolISS is implemented through ESRI ArcGIS technology, and is designed to operate as a personal geodatabase (MS Jet 4.0 Engine) and SDE enterprise geodatabase in MS SQL Server. The objective of GeolISS implementation is integration of existing geologic archives, data from published maps at different scales, newly acquired field data, as well as Web publishing of geologic information. Physical implementation ...Branislav Blagojević, Branislav Trivić, Ranka Stanković, Nenad Banjac, Olivera Kitanović. "Geologic Information System of Serbia" in Proceedings of the 17th Meeting of the Association of European Geological Societies, 14.-18. september 2011., Beograd : Srpsko geološko društvo (2011) M34
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Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources
Large collections of textual documents represent an example of big data that requires the solution of three basic problems: the representation of documents, the representation of information needs and the matching of the two representations. This paper outlines the introduction of document indexing as a possible solution to document representation. Documents within a large textual database developed for geological projects in the Republic of Serbia for many years were indexed using methods developed within digital humanities: bag-of-words and named ...Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović. "Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources" in Trans. Computational Collective Intelligence - Lecture Notes in Computer Science 26, Springer (2017). https://doi.org/10.1007/978-3-319-59268-8_8 M33
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Towards ELTeC-LLOD: European Literary Text Collection Linguistic Linked Open Data
Овај рад описује студију случаја о генерисању повезаних података креираних на основу обечежених текстуалних корпуса коришћењем формата размене података у обради природних језика (NIF). Као основа за ово истраживање послужио је подскуп корпуса ELTeC, који се састоји од 900 романа из периода 1840-1920 за 9 европских језика. Верзија романа са коментарима, у такозваном TEI level-2 формату, трансформисана је у NIF, формат заснован на RDF/OWL који има за циљ постизање интероперабилности између алата за обраду природних језика, језичких ресурса и ...Ranka Stanković, Christian Chiarcos, Miloš Utvić, Olivera Kitanović. "Towards ELTeC-LLOD: European Literary Text Collection Linguistic Linked Open Data" in LDK 2023 – 4th Conference on Language, Data and Knowledge, 12-15 September in Vienna, Austria, Lisabon : NOVA FCSH - CLUNL (2023). https://doi.org/10.34619/srmk-injj М33
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Possibilities of retro-digitalized German-Serbian Mining Dictionary
U radu će biti prikazan opis procesa retrodigitalizacije dvojezičnog Nemačko-srpskog rudarskog rečnika iz 1923. godine čiji je autor rudarski inženjer Dragutin Stepanović (Степановић, 1923). Ovaj rečnik je zasnovan na skoro 4 000 leksičkih zapisa koji su prevodilački ekvivalenti ili uputnice. Umesto predgovora autor daje uvid u svoje pismo upućeno “Ministru šuma i rudnika” u kome piše o nameri da zabeleži reči koje se koriste u narodu kako bi izbegao upotrebu nemačkih reči. Iako broj odrednica nije toliko veliki, rečnik ...Biljana Lazić, Olivera Kitanović, Ivan Obradović. "Possibilities of retro-digitalized German-Serbian Mining Dictionary" in E-dictionaries and E-lexicography, Zagreb, 10-11 May 2019, Zagreb : Institut za hrvatski jezik i jezikoslovlje (2019) М34
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FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain
U radu se daje kratak prikaz teorije semantike okvira, na kojoj je zasnovana leksička baza Frejmnet. Predstavljena je koncepcija ove mreže, kao i mogućnosti njene primene. Predstavljena je i leksička analiza koja se primenjuje u projektu izrade Frejmneta i ukazano na razlike između analize zasnovane na okviru u odnosu na analizu zasnovanu na reči. Zatim je prikazano nekoliko povezanih okvira koje prizivaju reči iz domena rizika. U radu je predstavljena i platforma NLTК pomoću koje se mogu koristiti ...Aleksandra Marković, Ranka Stanković, Natalija Tomić, Olivera Kitanović. "FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain" in Infotheca, Faculty of Philology, University of Belgrade (2021). https://doi.org/10.18485/infotheca.2021.21.1.1 М53
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Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic
Modeliranje tema je efikasan način da se dobije uvid u velike količine podataka. Neki od najčešće korišćenih metoda za modeliranje tema su Latentna Dirihleova alokacija (LDA) i faktorizacija nenegativne matrice (NMF). Međutim, sa porastom modela samopažnje i unapred obučenih jezičkih modela, pojavili su se novi načini za ekstrakcju tema. BERTopic predstavlja novi pristup modeliranju tema. U ovom radu smo uporedili performanse LDA, NMF i BERTopic na književnim tekstovima na srpskom, merenjem koherentnosti tema i raznovrsnosti tema, kao i kvalitativnom ...Teodora Mihajlov, Milica Ikonić Nešić, Ranka Stanković, Olivera Kitanović. "Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic" in Annals of Computer Science and Information Systems, IEEE (2024). https://doi.org/10.15439/2024F1593 М33
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SrpCNNeL: Serbian Model for Named Entity Linking
Ovaj rad predstavlja razvoj modela za prepoznavanje i povezivanje imenovanih entiteta (NEL) sa bazom znanja Vikipodaci za srpski jezik pod nazivom SrpCNNeL. Model je obučen da prepozna i poveže sedam različitih imenovanih tipova entiteta (osobe, lokacije, organizacije, profesije, događaji, demoni i umetnička dela) na skupu podataka koji sadrži rečenice iz romana, pravnih dokumenata, kao i rečenice generisane iz znanja Vikipodataka baza i Leksimirka leksička baza podataka. Dobijeni model je pokazao dobre performanse, postigavši F1 rezultat od 0,8 na test ...Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić, Olivera Kitanović. "SrpCNNeL: Serbian Model for Named Entity Linking" in Annals of Computer Science and Information Systems, IEEE (2024). https://doi.org/10.15439/2024F8827 М33
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A Data Driven Approach for Raw Material Terminology
Olivera Kitanović, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić, Ivan Babić, Ljiljana Kolonja (2021)The research presented in this paper aims at creating a bilingual (sr-en), easily searchable, hypertext, born-digital, corpus-based terminological database of raw material terminology for dictionary production. The approach is based on linking dictionaries related to the raw material domain, both digitally born and printed, into a lexicon structure, aligning terminology from different dictionaries as much as possible. This paper presents the main features of this approach, data used for compilation of the terminological database, the procedure by which it has ...sirovine, rudarstvo, terminologija, rečnik, terminološka aplikacija, mobilna aplikacija, digitizacija, leksički podaci, korpusi, otvoreni povezani podaciOlivera Kitanović, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić, Ivan Babić, Ljiljana Kolonja. "A Data Driven Approach for Raw Material Terminology" in Applied Sciences, MDPI AG (2021). https://doi.org/10.3390/app11072892 М22
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Contrastive Analysis of Syntax Patterns in Comparable Football Corpora in Spanish and Serbian Languages
Jelena Lazarević, Olivera Kitanović (2024.)Cilj rada je istraživanje kolokabilnosti kao načina na koji se leksičke jedinice povezuju sa rečima iz različitih kategorija, formirajući veće jedinice. Istraživanje semantičkih i sintaksičkih principa ovih kombinacija u španskom i srpskom jeziku fudbala izvedeno je na komparabilnim fudbalskim korpusima SrFudKo i EsFudko, razvijenim u okviru doktorske disertacije Jelene Lazarević pod nazivom: Jezičke odlike diskursa novih medija o fudbalu: kontrastivna analiza na korpusu srpskog i španskog jezika. Korpus fudbala SrFudKo, kreiran na osnovu tekstova o fudbalu sa pet srpskih veb-portala: ...Jelena Lazarević, Olivera Kitanović . "Contrastive Analysis of Syntax Patterns in Comparable Football Corpora in Spanish and Serbian Languages" in South Slavic Languages in the Digital Environment JuDig Book of Abstracts, University of Belgrade - Faculty of Philology, Serbia, November 21-23, 2024, University of Belgrade - Faculty of Philology (2024.) М64
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Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking
U radu se prikazuju rezultati istraživanja vezanih za pripremu paralelnih korpusa, fokusirajući se na transformaciju u RDF grafove koristeći NLP Interchange Format (NIF) za lingvističku anotaciju. Pružamo pregled paralelnog korpusa koji je korišćen u ovom studijskom slučaju, kao i proces označavanja delova govora, lematizacije i prepoznavanja imenovanih entiteta (NER). Zatim opisujemo povezivanje imenovanih entiteta (NEL), konverziju podataka u RDF, i uključivanje NIF anotacija. Proizvedene NIF datoteke su evaluirane kroz istraživanje triplestore-a korišćenjem SPARQL upita. Na kraju, razmatra se povezivanje Linked ...paralelni korpusi, povezivanje imenovanih entiteta, prepoznavanje imenovanih entiteta, NER, NEL, povezani podaci, NIF, VikipodaciRanka Stanković, Milica Ikonić Nešić, Olja Perisic, Mihailo Škorić, Olivera Kitanović. "Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking" in Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024, Turin, 20-25 May 2024, ELRA and ICCL (2024) М33
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Hydrogeochemical characteristics and their basic types thermomineral waters in Serbia
Krunić Olivera (2010)Krunić Olivera. "Hydrogeochemical characteristics and their basic types thermomineral waters in Serbia" in XXXVIII IAH Congress Groundwater Quality Sustainability, Book of abstracts 1, Krakow Poljska:University of Silesia Press (2010): 641-643 M34
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Termomineralne vode Srbije , osnovni tipovi i njihove karakteristike
Olivera Krunić (1999)Olivera Krunić. Termomineralne vode Srbije , osnovni tipovi i njihove karakteristike, Beograd:Rudarsko Geološki Fakultet, 1999
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Termomineralne vode severnog oboda Kopaoničkog masiva
Olivera Krunić (1995)Olivera Krunić. Termomineralne vode severnog oboda Kopaoničkog masiva, Beograd:Rudarsko-geološki fakultet, 1995