Applied Artificial Intelligence Group

Head of the research group: Development Officer VAHUR KOTKAS, vahur.kotkas@taltech.ee

Liikmed: Irina Astrova, Hele-Mai Haav, Mait Harf, Priit Järv, Kristiina Kindel, Ago Luberg, Riina Maigre, Margarita Spitšakova, Tanel Tammet, Martin Verrev

KEYWORDS: machine learning, automated commonsense reasoning, ontology based reasoning, AI methods in spatial data analysis, recommender systems, logic-based software systems

Topics and Competences

The Applied AI Group conducts research in application of AI methods in various fields and systems. We investigate applicability of machine learning, ontology based reasoning, automated theorem provers, knowledge discovery and other AI methods for solving digitalisation problems of different industrial and governmental stakeholders.

Our previous research has been concentrated on building software development methods and tools (e.g. CoCoViLa) with AI components, basically with program synthesis and ontology based knowledge representation components.

During a number of decades several software tools that facilitate AI techniques have been developed by the group. The following is a list of tools that are still in use or under deveopment:

CoCoViLa – visual model-based software develpment environment - http://cocovila.github.io/
WhiteDB – a lightweight NoSQL database library - http://whitedb.org/
GKC – discussion tool on large knowledgebases – https://github.com/tammet/gkc

Currently we work on topics like application of AI methods in spatial data analysis, using machine learning for risk management in e-commerce and for public service delivery. The corresponding projects are listed as follows:

Research results 2019

Logical-based discussion methods used in large knowledge bases have been developed. The goal of ongoing experimental research and development of a commonsense reasoning system is to build a world leading hybrid (machine learning plus logical reasoning) commonsense reasoner, to be used as a commonsense reasoning tool in various AI toolchains.
A novel method has beed developed for estimating short-term energy-consumption using machine learning techniques.
Approaches based on modeling and intelligent simulation for the design of pneumo-hydraulic systems for liquids are continuously developed.
Methods to extract data about tourist destinations and tourist behavior from public, heterogeneous data sources and to create knowledge bases for tourist recommender systems.

Selected publications

Tammet, Tanel. GKC: A reasoning system for large knowledge bases. Automated Deduction - CADE 27 : 27^th International Conference on Automated Deduction, Natal, Brazil, August 27-30, 2019, Proceedings, 11716. Ed. Fontaine, Pascal. Cham: Springer, 538−549. (Lecture Notes in Artificial Intelligence; 11716).10.1007/978-3-030-29436-6_32.
Spichakova, Margarita; Belikov, Juri; Nõu, Kalvi; Petlenkov, Eduard. Feature engineering for short-term forecast of energy consumption. Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) : Bucharest, Romania, 29 September - 2 October 2019. IEEE, [1−5].10.1109/ISGTEurope.2019.8905698.
Koschel, Arne; Heine, Felix; Astrova, Irina. Harnessing cloud scalability to Hadoop clusters. Information Systems : 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, Limassol, Cyprus, October 4-5, 2018, Proceedings. Ed. Themistocleous, Marinos; Rupino da Cunha, Paulo. Cham: Springer, 59−71. (Lecture Notes in Business Information Processing; 341).10.1007/978-3-030-11395-7_6.

Contacts

Name	Position	Location	E-mail	Phone
Irina Astrova	Senior Research ScientistSchool of Information Technologies: Department of Software Sciences	CYB-423	irina.astrova@taltech.ee	6204219
Hele-Mai Haav	Senior Research ScientistSchool of Information Technologies: Department of Software Sciences	CYB-424	hele-mai.haav@taltech.ee	6204213
Mait Harf	Research ScientistSchool of Information Technologies: Department of Software Sciences	CYB-420	mait.harf@taltech.ee	6204221
Priit Järv	Software Development SpecialistSchool of Information Technologies: Department of Software Sciences	ICT-416	Priit.Jarv1@taltech.ee
Kristiina Kindel	EngineerSchool of Information Technologies: Department of Software Sciences	CYB-423	kristiina.kindel@taltech.ee	6204219
Vahur Kotkas	Development OfficerSchool of Information Technologies: Department of Software Sciences	CYB-422	vahur.kotkas@taltech.ee	6204217
Rauni Lillemets	ResearcherSchool of Information Technologies: Department of Software Sciences		rauni.lillemets@taltech.ee
Ago Luberg	LecturerSchool of Information Technologies: Department of Software Sciences	ICT-425	ago.luberg@taltech.ee
Riina Maigre	Research ScientistSchool of Information Technologies: Department of Software Sciences	CYB-407	riina.maigre@taltech.ee	6204240
Marta Olvet	GIS SpecialistSchool of Information Technologies: Department of Software Sciences		marta.olvet@taltech.ee
Rene Pihlak	Early Stage ResearcherSchool of Information Technologies: Department of Software Sciences	ICT-612	rene.pihlak@taltech.ee
Margarita Spitšakova	Software DeveloperSchool of Information Technologies: Department of Software Sciences	CYB-423	margarita.spitsakova@taltech.ee	6204219
Tanel Tammet	ProfessorSchool of Information Technologies: Department of Software Sciences	ICT-426	tanel.tammet@taltech.ee	6203457
Martin Verrev	Early Stage ResearcherSchool of Information Technologies: Department of Software Sciences	ICT-422	Martin.Verrev@taltech.ee
Sven Veskioja	EngineerSchool of Information Technologies: Department of Software Sciences		sven.veskioja@taltech.ee

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