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[[File:Slavko Žitnik.png|frameless|right]]
[[File:Slavko Žitnik.png|frameless|right]]


I am an assistant professor at the University of Ljubljana, Faculty for computer and information science, Laboratory for Data Technologies. I interested into databases, natural language processing, semantic Web and information extraction.  
I am an assistant professor at the University of Ljubljana, Faculty for computer and information science, Laboratory for Data Technologies. My research interests are related to databases, natural language processing, semantic Web, information retrieval and information extraction. I am also teaching courses of natural language processing, web information extraction and retrieval, database design and management and information systems and modelling.  


[[Image:Shutterstock_128869777_paidImage_small.jpeg|thumb|''Data is the new oil.'' — Clive Humby, Kellogg School, 2006.|300px|right]]
Internationally I actively cooperate with the [https://cri.pantheonsorbonne.fr/en/centre-recherche-en-informatique Université Paris 1, Sorbonne], the [https://www.etf.bg.ac.rs/en School of Electrical Engineering, University of Belgrade] (prof. Dražen Drašković), [https://www.usf.edu/education College of Education, University of South Florida] (prof. Glenn Gordon Smith), and [https://zitniklab.hms.harvard.edu Harvard University, Department of Biomedical Informatics] (prof. Marinka Žitnik).
I am a postdoctorate researcher at the University of Ljubljana, Faculty of Computer and Information Science. My research interests are related to broad Information Retrieval and Information Extraction fields, which I also researched in my [http://eprints.fri.uni-lj.si/1160/ diploma thesis] and [http://eprints.fri.uni-lj.si/2889/ PhD thesis].


Information Extraction (IE) refers to automatic extraction of structured information from unstructured sources. As a task it can also be seen as flling slots into a database from text. It must pre-process, recognize and convert information from textual documents (e.g web pages, reports, books), structural (e.g. web page structure, indexes) or usage data (e.g. query logs) into human and machine understandable format. As a family of techniques IE combines segmentation, classification, association and clustering. They can be roughly divided into pattern-based and machine learning-based (ML) approaches. The first use manually defined rules or can also learn them for specific type of documents using seed expansion. The latter consist of probabilistic (e.g. sequence models) and induction (e.g. linguistic, structural models) approaches and are currently the main focus of the research in IE community. In knowledge management and semantic web, a machine can ''understand'' the data if it is represented as an ontology. Therefore IE techniques can be used for automatic ontology creation and also population.
Apart from research projects in the fields of data science and natural language processing, I am actively engaged in professional projects with industry.  


"Once you have a truly massive amount of information integrated as knowledge,
'''Check [{{filepath:SlavkoZitnik_CV.pdf}} regularly updated my curriculum vitae] to find more about me.'''
then the human-software system will be superhuman, in the same sense that
mankind with writing is superhuman compared to mankind before writing."
''Doug Lenat, June 21, 2001''


;Work
{{Quote|text=Once you have a truly massive amount of information integrated as knowledge, then the human-software system will be superhuman, in the same sense that mankind with writing (or language itself) is superhuman compared to mankind before writing (or language itself). We look back on pre-linguistic cavemen and think 'they weren't quite human, were they?' In much the same way, our descendants will look back on pre-AI homo sapiens with exactly that mixture of otherness and pity.|sign=Doug Lenat|source=}}
:[https://dbmi.hms.harvard.edu Harvar University, Department of Biomedical Informatics], 2022, Visiting Professor
:[http://www.fri.uni-lj.si University of Ljubljana, Faculty of Computer and Information Science], Autumn 2018-now, Assistant Professor
:[http://www.fri.uni-lj.si University of Ljubljana, Faculty of Computer and Information Science], Autumn 2014-Autumn 2018, Assistant with a PhD
:[http://lpt.fri.uni-lj.si/ Laboratory for Data Technologies], reporting to [http://bajecm.fri.uni-lj.si/ Prof. Dr. Marko Bajec]
:Vecna pot 113, SI-1000 Ljubljana


:[http://careers.microsoft.com/careers/en/no/devcenter.aspx Microsoft Development Center Norway, Oslo], Summer-Autumn 2014, Software Development Engineer in Test Intern
<center>{{note|To get in touch with me, please reach out to me via [mailto:slavko.zitnik@fri.uni-lj.si slavko.zitnik@fri.uni-lj.si] or stop by in my office at the Faculty (room R2.58).}}</center>
:Torggata 2-4-6, NO-0181 Oslo


:[http://www.optilab.net Optilab d.o.o.] & [http://lpt.fri.uni-lj.si Laboratory for Data Technologies], 2011-2014, Junior Researcher from industry
;Affiliations
:Optilab: Dunajska cesta 152, SI-1000 Ljubljana
:[http://www.fri.uni-lj.si University of Ljubljana, Faculty of Computer and Information Science], Laboratory for Data Technologies, Autumn 2018-now, Assistant Professor
:Faculty: Vecna pot 113, SI-1000 Ljubljana
:[https://dbmi.hms.harvard.edu Harvard University, Department of Biomedical Informatics], 2022, Visiting Professor


== About me ==
;Research indexing
;Education
: [https://www.arrs.gov.si Slovenian research agency] profile, [https://cris.cobiss.net/ecris/si/sl/researcher/38663 SICRIS number 34156] ([http://sicris.izum.si/search/rsr.aspx?lang=slv&id=38663 old UI])
:University of Ljubljana, Faculty of computer and information science, 2010-2014, PhD in computer science
: [https://scholar.google.com/citations?user=O8WaRkUAAAAJ Google Scholar]
:University of Ljubljana, Faculty of computer and information science, 2006-2010, Bsc. in computer science and mathematics




 
{| style="text-align: center; width: 100%;"
 
| '''Head of the Laboratory''' || '''PhD Candidates'''
;Contacts
|-
: slavko AT zitnik.si
|<gallery mode="packed">
: slavko.zitnik AT fri.uni-lj.si
Image:Marko_Bajec.png|[http://marko.data-lab.si prof. dr. Marko Bajec]
: [https://twitter.com/szitnik @szitnik]
</gallery> || <gallery mode="packed" style="padding: 20px;">
: [https://si.linkedin.com/in/szitnik/ LinkedIn profile]
Image:Marko Sumina.png|Marko Sumina ''(PhD co-supervision)''
: [http://zitnik.si Personal blog]
Image:Timotej knez.png|Timotej Knez ''(PhD supervision)''
: Skype: slavkozitnik
</gallery>
: Mobile: +386 31 543 547
|}
 
== Research ==
; Slovene research agency ([https://www.arrs.gov.si ARRS]) profile
: [http://sicris.izum.si/search/rsr.aspx?lang=slv&id=38663 SICRIS profile], research number 34156
 
; Research interests
:Information Retrieval, (Ontology-based) Information Extraction, Semantic Web

Latest revision as of 23:44, 5 August 2022

Slavko Žitnik.png

I am an assistant professor at the University of Ljubljana, Faculty for computer and information science, Laboratory for Data Technologies. My research interests are related to databases, natural language processing, semantic Web, information retrieval and information extraction. I am also teaching courses of natural language processing, web information extraction and retrieval, database design and management and information systems and modelling.

Internationally I actively cooperate with the Université Paris 1, Sorbonne, the School of Electrical Engineering, University of Belgrade (prof. Dražen Drašković), College of Education, University of South Florida (prof. Glenn Gordon Smith), and Harvard University, Department of Biomedical Informatics (prof. Marinka Žitnik).

Apart from research projects in the fields of data science and natural language processing, I am actively engaged in professional projects with industry.

Check regularly updated my curriculum vitae to find more about me.

Once you have a truly massive amount of information integrated as knowledge, then the human-software system will be superhuman, in the same sense that mankind with writing (or language itself) is superhuman compared to mankind before writing (or language itself). We look back on pre-linguistic cavemen and think 'they weren't quite human, were they?' In much the same way, our descendants will look back on pre-AI homo sapiens with exactly that mixture of otherness and pity.
—Doug Lenat
Note Note:  To get in touch with me, please reach out to me via slavko.zitnik@fri.uni-lj.si or stop by in my office at the Faculty (room R2.58).
Affiliations
University of Ljubljana, Faculty of Computer and Information Science, Laboratory for Data Technologies, Autumn 2018-now, Assistant Professor
Harvard University, Department of Biomedical Informatics, 2022, Visiting Professor
Research indexing
Slovenian research agency profile, SICRIS number 34156 (old UI)
Google Scholar


Head of the Laboratory PhD Candidates