Personal data sheet
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personal data approved: 2018. IX. 19.
Personal data
Tamás Csaba Mészáros
name Tamás Csaba Mészáros
name of institution
doctoral school
BME Doctoral School of Informatics (Announcer of research topic)
Contact details
E-mail address meszarosmit.bme.hu
phone number +36 1 463-2899
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2016
discipline to which degree belongs computer sciences
institution granting the degree BME
1996 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 0
number of students who fulfilled course requirements 0
students who obtained their degrees:
  Thesis topic proposals
research area artificial intelligence, intelligent agents, text mining and analysis, natural language interfaces
research field in which current research is conducted computer sciences

Tamás Mészáros, Margit Kiss Szerk.: Jaka Čibej Vojko Gorjanc Iztok Kosem, Szerk.: Simon Krek: The DHmine Dictionary work-flow: creating a knowledge-based author's dictionary, Ljubljana: Ljubljana University Press, 1029 p. (Proceedings of the XVIII EURALEX International Congress)
type of document: Book/Konferenciakötet (to be translated)
language: English
Full text 

Tamás Mészáros, Margit Kiss: Knowledge Acquisition from Critical Annotations, Information (Switzerland) 9: (7) pp. 1-10.
type of document: Journal paper/Article
language: English

Mészáros T, Dobrowiecki T: Agent-based Reconfigurable Natural Language Interface to Robots, In: Szerk.: Jaap van den Herik, Szerk.: Ana Paula Rocha, Szerk.: Joaquim Filipe 9th International Conference on Agents and Artificial Intelligence. Porto: SciTePress, 2017. pp. 632-639.
type of document: Part of book/Proceedings Paper
language: English

Mészáros Tamás: Agent-supported Knowledge Acquisition for Digital Humanities Research, In: Szerk.: Szakál A 2016 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings: SMC 2016. Budapest: IEEE, 2016. pp. 3936-3941.
type of document: Part of book/Proceedings Paper
language: English

Tamás Mészáros, Tadeusz Dobrowiecki: Rapid development of application-oriented natural language interfaces, In: IEEE 18th International Conference on Intelligent Engineering Systems.Tihany, Magyarország, 2014.07.03-2014.07.05. pp. 55-59. Kiadvány: 2014.
type of document: Conference paper/Előadás vagy poszter cikke
language: English

Tamás Mészáros, Tadeusz Dobrowiecki: Controlled Natural Languages for Interface Agents, In: IFAAMAS AAMAS 2009: 8th international conference on Autonomous agents and multiagent systems. Budapest: Association for Computing Machinery, 2009. pp. 1173-1174.
type of document: Part of book/Proceedings Paper
number of independent citations: 5
language: English

Varga P, Mészáros T, Dezsényi C, Dobrowiecki TP: An Ontology-based Information Retrieval System, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2718: pp. 359-368.
type of document: Journal paper/Article
number of independent citations: 17
language: English

Antal P, De Moor B, Timmerman D, Meszaros T, Dobrowiecki T: Domain knowledge based information retrieval language: An application of annotated bayesian networks in ovarian cancer domain, In: Szerk.: Kokol P, Szerk.: Stiglic B, Szerk.: Zorman M, Szerk.: Zazula D Proc. of the 15th IEEE Symp. on Computer-Based Medical Sys. (CBMS-2002). New York: IEEE Press, 2002. pp. 213-218.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English

Antal P, Mészáros T, De Moor B, Dobrowiecki T: Annotated bayesian networks: A tool to integrate textual and probabilistic medical knowledge, In: Szerk.: IEEE COMPUTER SOCIETY Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems CBMS. Los Alamitos (CA): IEEE Computer Society Press, 2001. pp. 177-182.
type of document: Part of book/Proceedings Paper
number of independent citations: 12
language: English
Full text 

T Mészáros, Zs. Barczikay, F. Bodon, Dobrowiecki T, Gy. Strausz: Building an Information and Knowledge Fusion System, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2070: pp. 82-91.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 4
language: English
Number of independent citations to these publications:40 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
number of scientific publications:
monographs and professional books:
monographs/books in which chapters/sections were contributed:
number of independent citations to scientific publications and creative works:

All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )