פרופ' מעיין גפת־טמיר (ז'יטומירסקי)

פרסומים אקדמיים בכתבי־עת שפיטים

1. Ben-Gigi N. (student), Zhitomirsky-Geffet M., Schler J. & Katzoff B. (2024). Automatic construction of the citation network from the medieval Jewish Responsa literature. ACM Journal on Computing and Cultural Heritage. Q1
2. Hadad, S. (RA), M. Zhitomirsky-Geffet, Shah H., D. Rigler, U. Celentano, H. Tiensuu, J. Röning, J. Vallverdú, E. Jove Csabella, O. Stepankova, J. Gialelis, K. Lantavou, T. Ignat, G. Masone, J. Winter, M. Dumitrasco. (2023). Modeling intrinsic factors of inclusive engagement in Citizen Science: Insights from the participants’ survey analysis of CSI-COP. PLoSONE, 18(11), e0294575. https://doi.org/10.1371/journal.pone.0294575 Q1.
3. Weinberger M. (student) & Zhitomirsky-Geffet M. (2023). Modeling a successful citation trajectory structure for scholar’s impact evaluation in Israeli academia. Heliyon 9(5), E15673. https://www.cell.com/heliyon/pdf/S2405-8440(23)02880-3.pdf Q1
4. Zhitomirsky-Geffet, M. & Krymolowski Y. (RA), (2023). Integrating GIS and semantic web technologies as a next step in the evolution of spatial digital humanities. Jerusalem Journal of Archaeology. The Hebrew University of Jerusalem. 2_jjar05_art02_gis_zhitomirsky_and_krymolowski.pdf (huji.ac.il). A
5. Suissa, O. (student), Elmalech, A. & Zhitomirsky-Geffet M. (2023). Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks. ACM Journal on Computing and Cultural Heritage. 16(3), Article 51. https://doi.org/10.1145/3586081. Q1 (DSI Outstanding Paper Award 2023)
6. Zadok A. (student), Zhitomirsky-Geffet M., Schler J. & Katzoff B. (2023). Comparative network analysis as a new approach to the editorship profiling task: a case study of the Mishnah and Tosefta from Rabbinic literature. Digital Scholarship in the Humanities, 38(4), 1720–1739. https://academic.oup.com/dsh/advance-article-abstract/doi/10.1093/llc/fqad038/7197413 Q1
7. Suissa, O. (student), Zhitomirsky-Geffet, M. & Elmalech, A. (2023). Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs, Semantic Web Journal, 14(2), 209-237. https://DOI:10.3233/SW-222925 Q2
8. Blidstein, M. & Zhitomirsky-Geffet, M. (2022). Towards a new generic framework for citation network generation and analysis in the humanities. Scientometrics, 127, 4275-4297. https://doi.org/10.1007/s11192-022-04438-y Q1
9. Zhitomirsky-Geffet, M. & Minster, S. (student) (2022). Cultural information bubbles: a new approach for automatic ethical evaluation of digital artwork collections based on Wikidata. Digital Scholarship in the Humanities. Oxford Academic, 38(2), 891–911. https://doi.org/10.1093/llc/fqac076 Q1
10. Zhitomirsky-Geffet, M., Kizhner, I. (student), & Minster, S. (student). (2022). What do they make us see: a comparative study of cultural bias in online databases of two large museums. Journal of Documentation, 79(2), 320-340. https://doi.org/10.1108/JD-02-2022-0047 Q1
11. Zhitomirsky-Geffet, M., Bouhnik, D., & Eistein, S.S. (student) (2022). Browser search hijacking. Meidaat, an Israeli journal of Information Science (in Hebrew) https://is.biu.ac.il/node/4383 B (No rank in SJR, no IF, internal rank B)
12. Zhitomirsky-Geffet, M. & G. Avidan (student). (2022). A new framework for systematic analysis and classification of inconsistencies in multi-viewpoint ontologies, Knowledge Organization, 48(5), 331-344. https://doi.org/10.5771/0943-7444-2021-5 Q2
13. Suissa, O. (student), Zhitomirsky-Geffet M. & Elmalech, A.  (2022). Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts, ACM Journal on Computing and Cultural Heritage, 15(2), 1-20. https://doi.org/10.1145/3479159 Q1
14. Suissa, O. (student), Elmalech, A. and Zhitomirsky-Geffet M. (2021). Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science, Journal of Association for Information Science and Technology, 73(2), 268-287. https://doi.org/10.1002/asi.24544 Q1
15. Weinberger M. (student) & Zhitomirsky-Geffet, M. (2021). Diversity of success: Measuring the scholarly performance diversity of tenured professors in the Israeli academia. Scientometrics, 126, 2931–2970. https://doi.org/10.1007/s11192-020-03823-9 Q1
16. Zhitomirsky-Geffet, M. & A. Weic. (student) (2021). Utilizing Facebook for professional integration of three ethnic groups in Israel. AI & Society: Journal of Knowledge, Culture and Communication, Springer, 36, 737–755. https://doi.org/10.1007/s00146-020-01131-7 Q1
17. Zhitomirsky-Geffet, M. & Hajibayova, L. (2020). A New Framework for Ethical Creation and Evaluation of Multi-Perspective Knowledge Organization Systems. Journal of Documentation, 76(6), 1459-1471. https://doi.org/10.1108/JD-04-2020-0053. Q1
18. Zhitomirsky-Geffet, M., Bergman O. & S. Hillel. (student) (2020). Towards a Wider Perspective in the Social Sciences using a Network of Variables Based on Thousands of Results. Scientometrics, 123(3), 1385-1406. https://DOI: 10.1007/s11192-020-03446-0. Q1
19. Prebor, G., Zhitomirsky-Geffet, M., & Miller, Y. (2020). A Multi-dimensional Ontology-based Analysis of the Censorship of Hebrew Manuscripts. Digital Humanities Quarterly, 14(1). http://digitalhumanities.org/dhq/vol/14/1/000442/000442.html Q3
20. Suissa, O. (student), Elmalech, A. & Zhitomirsky-Geffet, M. (2020). Toward the optimized crowdsourcing strategy for OCR post-correction, Aslib Journal of Information Management, 72(2), 179-197. https://doi.org/10.1108/AJIM-07-2019-0189. Q2
21. Zhitomirsky-Geffet, M., Prebor G., & Miller, Y. (2020). Ontology-based analysis of the large collection of historical Hebrew manuscripts. Digital Scholarship in the Humanities, 35(3), 688-719. DOI: https://doi.org/10.1093/llc/fqz058. (A)
22. Prebor, G., Zhitomirsky-Geffet, M., & Miller, Y. (2020). A new analytic framework for prediction of migration patterns and locations of historical manuscripts based on their script types. Digital Scholarship in the Humanities, 35(2), 441-458. https://doi.org/10.1093/llc/fqz038. (A)
23. Zhitomirsky-Geffet, M. & O. Bergman. (2019). Towards variables’ network for mining relationships between results of thousands of papers in social sciences. Meidaat, an Israeli journal of Information Science, 14(1), in Hebrew. https://is.biu.ac.il/node/3700. (A)
24. Zhitomirsky-Geffet, M. (2019). Towards a diversified knowledge organization system: An open network of inter-linked subsystems with multiple validity scopes. Journal of Documentation,  75(5), 1124-1138. DOI: https://doi.org/10.1108/JD-10-2018-0163. (A)
25. Zhitomirsky-Geffet, M., & Prebor G. (2019). SageBook: Toward a cross-generational social network for the Jewish sages’ prosopography. Digital Scholarship in the Humanities, 34(3), 676-695. https://doi.org/10.1093/llc/fqy065. (A)
26. Zhitomirsky-Geffet, M., J. Bar-Ilan & M Levene. (2018). Categorical relevance judgment, Journal of the Association for Information Science and Technology (JASIST), 69(9), 1084-1094. https://doi.org/10.1002/asi.24035 (A+)
27. Zhitomirsky-Geffet M., Bar-Ilan J., & Levene M. (2017). Analysis of change in users' assessment of search results over time. Journal of the Association for Information Science and Technology (JASIST), 68)5(, 1137–1148. https://doi.org/10.1002/asi.23745 (A+)
28. Zhitomirsky-Geffet M. (2017). Ontologies in Information Science and Approaches for their Construction. Meidaat, an Israeli journal of Information Science, 13(2) (in Hebrew). http://is.biu.ac.il/node/3078. (B)
29. Zhitomirsky-Geffet M. & Mograbi C. Z.(student) (2017). A new framework for collaborative ontology construction for an agricultural domain from heterogeneous information resources. Journal of Agricultural & Food Information, 19(3(, 203-227. doi:10.1080/10496505.2017.1378105. (B)
30. Weinberger, M. (student ,(Zhitomirsky-Geffet M., & D. Bouhnik. (2017). Factors affecting users' online privacy literacy among students in Israel. Online Information Review, 41(5(, 655-671. https://doi.org/10.1108/OIR-05-2016-0127 (A+)
31. Zhitomirsky-Geffet, M & Zadok A (student) (2017). Risk analysis and prediction in welfare institutions using a recommender system. AI & Society, Springer, 33(4), https://doi.org/10.1007/s00146-017-0735-2. (A)
32. Weinberger, M. (student), D. Bouhnik & M. Zhitomirsky-Geffet. (2017). Factors Affecting Students’ Privacy Paradox and Privacy Protection Behavior. Open Information Science, 1(1), DeGruyter. https://doi.org/10.1515/opis-2017-0002. (A)
33. Weinberger, M. (student), M. Zhitomirsky-Geffet & D. Bouhnik. (2017). Sex differences in attitudes towards online privacy and anonymity among Israeli students with different technical backgrounds. Information Research: An International Electronic Journal, 22(4), n4. https://files.eric.ed.gov/fulltext/EJ1164311.pdf. (A)
34. Zhitomirsky-Geffet M. & Blau M. (student) (2017). Cross-generational analysis of information seeking behavior of smartphone users. Aslib Journal of Information Management, 69(6(, 721-739. https://www.emerald.com/insight/content/doi/10.1108/AJIM-04-2017 0083/full/html. (A+)
35. Zhitomirsky-Geffet M., Prebor G., & Bloch O. (student) (2017). Improving proverb search and retrieval with a generic multi-dimensional ontology. Journal of the Association for Information Science and Technology (JASIST), 68(1), 141-153. https://doi.org/10.1002/asi.23573 (Aּ+)
36. Zhitomirsky-Geffet, M., Erez E. S., & Bar-Ilan J. (2017).  Towards multi-viewpoint ontology construction by collaboration of non-experts and crowdsourcing: the case of the effect of diet on health. Journal of the Association for Information Science and Technology (JASIST), 68(3(, 681–694. https://doi.org/10.1002/asi.23686 (A+)
37. Zhitomirsky-Geffet, M. & Blau, M. (student) (2016). Cross-generational analysis of predictive factors of addictive behavior in smartphone usage. Computers in Human Behavior, 64, 682-693. https://doi.org/10.1016/j.chb.2016.07.061 (A+)
38. David, E., Zhitomirsky-Geffet M., Koppel M & Uzan H. (2016). Utilizing Facebook pages of the political parties to automatically predict the political orientation of Facebook users. Online Information Review, 40(5), 610 - 623. https://doi.org/10.1108/OIR-09-2015-0308 (A+)
39. Zhitomirsky-Geffet M., Bar-Ilan J., & Levene M. (2016). Testing the stability of “wisdom of crowds” judgments of search results over time and their similarity with the search engine rankings. Aslib Journal of Information Management, 68(4), 407-427. https://doi.org/10.1108/AJIM-10-2015-0165 (A+) Emerald Highly Commended paper award.
40. Zhitomirsky-Geffet M., Bar-Ilan J., & Levene M. (2016). A Markov chain model for changes in users’ assessment of search results. PLoS ONE, 11(5): e0155285. https://doi.org/10.1371/journal.pone.0155285. (A+)
41. Zhitomirsky-Geffet M. & Prebor G. (2016). Towards an ontopedia for historical Hebrew manuscripts. Frontiers in Digital Humanities, section of Digital Paleography and Book History, 3, 3. http://dx.doi.org/10.3389/fdigh.2016.00003.
42. Zhitomirsky-Geffet M., David, E., Koppel M., & Uzan H. (2016). Utilizing overtly political texts for fully automatic evaluation of political leaning of online news websites. Online Information Review, 40(3), 362 – 379. https://doi.org/10.1108/OIR-06-2015-0211 (A+) Emerald Outstanding paper award.    
43. Zhitomirsky-Geffet M. & Bratspiess Y. (student) (2015). Perceived effectiveness of social networks for job search, LIBRI, 65(2), 105-118, 2015‏. https://doi.org/10.1515/libri-2014-0115 (B)
44. Zhitomirsky-Geffet M. & Daya Y. (student) (2015). Mining query subtopics from social tags, Information Research, 20(2), 1-15, 2015‏. http://InformationR.net/ir/20-2/paper666.html (A)
45. Zhitomirsky-Geffet M. & Bratspiess Y. (student) (2015). Professional information disclosure on social networks: The case of Facebook and LinkedIn in Israel. Journal of the American Society for Information Science and Technology (JASIST), 67(3), 193-204. https://doi.org/10.1002/asi.23393 (A+)
46. Zhitomirsky-Geffet M. & Bar-Ilan J. (2014). Towards maximal unification of semantically diverse ontologies for controversial domains. Aslib Journal of Information Management, 66(5), 494 –518. https://doi.org/10.1108/AJIM-11-2013-0123 (A+)
47. Zhitomirsky-Geffet M. & Erez E. S. (student) (2014). Maximizing agreement on diverse ontologies with "wisdom of crowds" relation classification. Online Information Review, 38(5), 616 - 633. https://doi.org/10.1108/OIR-03-2014-0073 (A+)
48. Zhitomirsky-Geffet M. & Maman Y. (student) (2014). "Wisdom of crowds" and online information reliability: A case study of Israeli real estate websites. Online Information Review, 38(3), 417 – 435. https://doi.org/10.1108/OIR-07-2013-0176 (A+)
49. Bar-Ilan, J., Zhitomirsky-Geffet, M., Miller, Y., & Shoham, S. (2012). Tag-based retrieval of images through different interfaces: A user study. Online Information Review, 36(5), 739-757. https://doi.org/10.1108/14684521211276019 (A+)
50. Kotlerman, L.(student), Dagan, I., Szpektor I., & Zhitomirsky-Geffet, M. (2010). Directional distributional similarity for lexical inference. Natural Language Engineering, 4(16), 359-389. Cambridge University Press. https://doi.org/10.1017/S1351324910000124 (A)
51. Bar-Ilan, J., Zhitomirsky-Geffet, M., Miller, Y., & Shoham, S. (2010). The effects of background information and social interaction on image tagging. Journal of the American Society for Information Science and Technology (JASIST), 61(5), 940-951. https://doi.org/10.1002/asi.21306 (A+) 
52. Zhitomirsky-Geffet M., Bar-Ilan, J., Miller, Y., & Shoham, S. (2010). A generic framework for collaborative multi-perspective ontology acquisition. Online Information Review, 34(1), 145-159. https://doi.org/10.1145/1367497.1367639 (A+)       
53. Zhitomirsky-Geffet, M. & Dagan, I. (2009). Bootstrapping distributional feature vector quality. Computational Linguistics, 3(35), 313-343. https://doi.org/10.1162/coli.08-032-R1-06-96 (A+)
54. Zhitomirsky-Geffet, M., Frachtenberg, E., Wiseman, Y. & Feitelson, D. G. (2009). A unified strategy for search and result representation for an online bibliographical catalog. Online Information Review, 3(33), 511-536. https://doi.org/10.1108/14684520910969934 (A+)       
55. Zhitomirsky-Geffet, M. (2009). What are words with similar meaning and how do they assist information retrieval?  The Israeli Journal of Information, Meidaat, 5, 59-69.      https://is.biu.ac.il/sites/is/files/shared/meidaat-05.pdf (In Hebrew). (B)
56. Geffet M., Wiseman, Y., & Feitelson, D. G. (2005). Automatic alphabet recognition. Information Retrieval, Springer, 8(1), 25-40. https://doi.org/10.1023/B:INRT.0000048495.64628.ea (A)

מאמרים באסופות של כנסים מדעיים שפיטים

1. Zhitomirsky-Geffet, M. & Suissa O. (October, 2023). AI-Based Research Tool for Large Genealogical Corpora: The Case of Jewish Communities Worldwide. In ASIS&T conference, October 31th, 2023, London, UK.
2. Zhitomirsky-Geffet, M. (October, 2022). Turning filter bubbles into bubblesphere with multi-viewpoint KOS and diverse similarity. In ASIS&T conference, 59(1), 533-538, October 31th-November 2nd, Pittsburg, PA, USA. ASIS&T best short paper award (1^st place).
3. Zhitomirsky-Geffet, M., Ben-Gigi, N., Katzoff, B., & Schler, J. (July, 2022). Global and local citation networks as a new paradigm for multiple viewpoint investigation in historical literature: a case study of the Rabbinic literature corpus, 424-425. ADHO Digital Humanities conference 2022. Tokyo, July 2022. Virtual conference.
4. Minster S., Kizhner, I., & Zhitomirsky-Geffet, M., (July, 2022). Exploring a cultural “filter bubble” in artwork databases of two large museums of fine arts. ADHO Digital Humanities conference 2022, 315-316. Tokyo, July 2022. Virtual conference.
5. Zhitomirsky-Geffet, M., Weinberger, M., & Bouhnik, D. (2020). Identifying Citation Growth Patterns of the Top Scholars in Israel (with Weinberger, M., Bouhnik, D.). Poster in the Annual Meeting of the Association for Information Science, 57(1), e359. October 22^nd-November 1st, 2020, Virtual conference, USA.
6. Suissa, O., Elmalech, A. Zhitomirsky-Geffet, M. (2020, March). Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts. Poster in Proceedings of I-Conference 2020, Boras, Sweden.
7. Weinberger, M., Zhitomirsky-Geffet, M., Bouhnik, D. (2020, March). Academic   and demographic characteristics as predictors of scholarly productivity in the Israeli academia. Poster in Proceedings of I-Conference 2020, Boras, Sweden.
8. Zhitomirsky-Geffet M., Prebor G., Miller Y. (2018, November). Ontology-based    analysis of the large collection of historical Hebrew manuscripts. Poster in Proceedings of the Annual Meeting of the Association for Information Science, Vancouver, Canada. ASIS&T digital library: Maryland, USA.
9. Zhitomirsky-Geffet M., Prebor G., Buchel O., Bouhnik D. (2018, June). A New Methodology for Error Detection and Data Completion in a Large Historical Catalogue Based on an Event Ontology and Network Analysis. Poster in Proceedings of the annual International conference of the Alliance of Digital Humanities Organizations (ADHO), Mexico City, Mexico.
10. Prebor G., Zhitomirsky-Geffet M., and Y. Miller. (2017, November). A Large-Scale Data-Driven Analysis of Censorship of Hebrew Manuscripts in Italy. Poster in Proceedings of the Annual Meeting of the Association for Information Science, Washington DC, USA. ASIS&T digital library: Maryland, USA.
11. Weinberger M., Bouchnik D., Zhitomirsky-Geffet M. (2017, March). Predictors of   Online Privacy Paradox Behavior among Students. Poster in Proceedings of I-Conference 2017, Wuhan, China.
12. Zhitomirsky-Geffet M. and Blau, M. (2017, March). Predictive factors of information seeking behavior of smartphone users from different generations. In Proceedings of I-Conference 2017, Wuhan, China. 
13. Zhitomirsky-Geffet M., Kwasnik B., & Bullard J. (2016, October). “Crowdsourcing approaches for knowledge organization systems: Crowd collaboration or crowd work?” In Proceedings of the Annual Meeting of the Association for Information Science, Copenhagen, Denmark. ASIS&T digital library: Maryland, USA.
14. Zhitomirsky-Geffet M., Prebor G., & Feigeinboim A. (2016, July). Towards a cross-generation social network of the Jewish sages. The annual international conference of the Alliance of Digital Humanities Organizations (ADHO), Krakow, Poland.
15. Erez E.S., Zhitomirsky-Geffet M., & Bar-Ilan, J. (2015, November). Subjective vs. objective evaluation of ontological statements with crowdsourcing. Poster in Proceedings of the Annual Meeting of the Association for Information Science, St. Louise, MO, USA. ASIS&T digital library: Maryland, USA.
16. Zhitomirsky-Geffet M., Bar-Ilan J., & Levene, M. (2015, November). How and why do users change their assessment of search results over time? Poster in Proceedings of the Annual Meeting of the Association for Information Science, St. Louise, MO, USA. ASIS&T digital library: Maryland, USA.
17. Prebor G. & Zhitomirsky-Geffet M. (2015, July). Towards the ontopedia for Hebrew historical manuscripts. The annual international conference of the Alliance of Digital Humanities Organizations (ADHO), Sydney, Australia.
18. Uzan, H., David, E., Koppel M., & Zhitomirsky-Geffet M. (2015, January). Automatic political profiling in heterogeneous corpora.  In Proceedings of the ICAART Conference on Artificial Intelligence, (pp. 476-481), Lisbon, Portugal. SciTePress 2015.
19. Zhitomirsky-Geffet M. & Erez E. S. (2014, July). Collaboratively maximizing inter-ontology agreement for controversial domains: a case study of Jewish cultural heritage. Digital Humanities 2014 – The annual international conference of the Alliance of Digital Humanities Organizations (ADHO), Lausanne, Switzerland.
20. Bar-Ilan, J., Zhitomirsky-Geffet, M., Miller, Y., & Shoham, S. (2010, August). Tag cloud and ontology-based retrieval of images. In Proceedings of the third symposium on Information interaction in context (pp. 85-94), New Brunswick, NJ, USA. ACM.
21. Kotlerman, L., Dagan, I., Szpektor I., & Zhitomirsky-Geffet, M. (2009, August). Directional distributional similarity for lexical expansion. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers (pp. 69-72). Association for Computational Linguistics, Singapore.
22. Zhitomirsky-Geffet M., Bar-Ilan, J., Miller, Y., & Shoham, S. (2008, April). A generic framework for collaborative multi-perspective ontology acquisition. Poster in Proceedings of the 17th International World Wide Web Conference WWW 2008 (pp. 1027-1028), Beijing, China. ACM.
23. Mirkin, S., Dagan, I., & Geffet, M. (2006, August). Integrating pattern-based and distributional similarity methods for lexical entailment acquisition. In Proceedings of the 3rd Joint COLING/ACL-06 Conference (pp. 107-114). Association for Computational Linguistics, Sydney, Australia.
24. Geffet, M. & Dagan, I. (2005, June). The distributional inclusion hypotheses and lexical entailment. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics ACL 2005 (pp. 107-114), Ann Arbor, MI, USA. Association for Computational Linguistics.
25. Geffet, M. & Dagan, I. (2004, August). Feature vector quality and distributional similarity. In Proceedings of the 20th International Conference on Computational Linguistics COLING 2004 (pp. 247-253), Geneve, Switzerland. Association for Computational Linguistics.
26. Prior, A. & Geffet, M. (2003, September). Mutual information and semantic similarity as predictors of word association strength. In Schmalhofer, F., Young, R. & Katz, G. (Eds.), In Proceedings of the 1st European Cognitive Science Conference (EuroCogSci-2003). Lawrence Erlbaum Associates:  Mahwah, NJ.
27. Geffet, M., Wiseman, Y. & Feitelson, D. G. (2002, July). Automatic alphabet recognition. In Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics SCI 2002/ISAS 2002 (pp. 122-128). Orlando, Florida, USA.
28. Geffet, M. & Feitelson, D. G. (2001, June). Hierarchical indexing and Documents matching in BoW. In Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries JCDL 2001 (pp. 259-267), Roanoke, VA, USA. ACM.