Our Publications

Our Research Publications

Find Our Work

The quality of a team's research publications is determined by their accuracy, reliability, and impact on their field.

Select

Date Range

Date Range
Research Area
Select Research Area
Research Area
The governance enterprise architecture (GEA) high-level object model.

Peristeras, V., & Tarabanis, K. (2004). The governance enterprise architecture (GEA) high-level object model. In Knowledge Management in Electronic Government: 5th IFIP International Working Conference, KMGov 2004, Krems, Austria, May 17-19, 2004. Proceedings 5 (pp. 101-110). Springer Berlin Heidelberg.

eGovernment - Public Sector Innovation
Inproceedings
Inproceedings
Governance enterprise architecture (GEA) domain models for e-governance.

Peristeras, V., & Tarabanis, K. (2004, March). Governance enterprise architecture (GEA) domain models for e-governance. In Proceedings of the 6th international conference on Electronic commerce (pp. 471-479).

Business Information Systems - eGovernment - Public Sector Innovation
Inproceedings
Inproceedings
A Global E-Government Survey: Lessons Learned for the Transitional Countries.

Tsekos, T. N., & Peristeras, V. (2003). A Global E-Government Survey: Lessons Learned for the Transitional Countries. Finlay Jane, Debicki Marek.

eGovernment - Public Sector Innovation
Inproceedings
Inproceedings
E-Government or E-Governance: building a domain model for the governance system.

Peristeras, V., Tsekos, T., & Tarabanis, K. (2002). E-Government or E-Governance: building a domain model for the governance system. University of Macedonia: United Nations, Thessaloniki.

Business Information Systems - eGovernment
Inproceedings
Inproceedings
Knowledge management requirements and models for pan-European public administration service delivery

Tarabanis, K., & Peristeras, V. (2003). Knowledge management requirements and models for pan-European public administration service delivery. In Knowledge Management in Electronic Government: 4th IFIP International Working Conference, KMGov 2003, Rhodes, Greece, May 26–28, 2003 Proceedings 4 (pp. 37-47). Springer Berlin Heidelberg.

Public Sector Innovation - Semantic Web
Inproceedings
Inproceedings
On the discovery of weak periodicities in large time series.

Berberidis, C., Vlahavas, I., Aref, W. G., Atallah, M., & Elmagarmid, A. K. (2002, September). On the discovery of weak periodicities in large time series. In Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings (pp. 51-61). Berlin, Heidelberg: Springer Berlin Heidelberg.

Data Mining
Inproceedings
Inproceedings
Multiple and partial periodicity mining in time series databases

Berberidis, C., Aref, W. G., Atallah, M., Vlahavas, I., & Elmagarmid, A. K. (2002, July). Multiple and partial periodicity mining in time series databases. In ECAI (Vol. 2, pp. 370-374).

Data Mining
Inproceedings
Inproceedings
Analyzing e-government as a paradigm shift.

Peristeras, V., Tsekos, T. N., & Tarabanis, K. (2002). Analyzing e-government as a paradigm shift. UNTC Occasional Papers Series, (1).

eGovernment - Public Sector Innovation
Inproceedings
Inproceedings
Requirements for transparent public services provision amongst public administrations.

Tarabanis, K., & Peristeras, V. (2002). Requirements for transparent public services provision amongst public administrations. In Electronic Government (pp. 330-337). Springer, Berlin, Heidelberg.

Business Information Systems - Public Sector Innovation
Inproceedings
Inproceedings
Building an enterprise architecture for public administration: a high level data model for strategic planning.

Tarabanis, K., Peristeras, V., & Fragidis, G. (2001). Building an enterprise architecture for public administration: a high level data model for strategic planning. ECIS 2001 Proceedings, 116.

Public Sector Innovation
Inproceedings
Inproceedings

Our Team

Meet Our Expert Team

Meet our highly skilled and experienced team, dedicated to delivering innovative solutions and exceptional results.
Faculty Member
Main Research Interests: Business Information Systems, eGovernment, Digital Transformation, Public Sector Innovation, eParticipation, Interoperability, Open Data, Linked Data, Semantic Web, eCommerce
Team Role: Director
Research Associate
Main Research Interests: eGovernment, Open Data, Linked Data, Semantic Web, Business Semantic Standards, Metadata, Data Analysis, e-Learning
Team Role: Manager
Faculty Member, Research Associate
Main Research Interests: Data Analysis, Data Mining, Deep Learning, Machine Learning, Natural Language Processing, Disinformation - Fake News
Team Role: Coordinator
Research Associate
Main Research Interests: eGovernment, Digital Transformation
Team Role: Coordinator, Researcher
Research Associate
Main Research Interests: eGovernment, Public Sector Innovation, Machine Learning
Team Role: Researcher
PhD Candidate
Main Research Interests: eGovernment, Public Sector Innovation, Open Data
Team Role: Researcher
Research Associate
Main Research Interests: eGovernment, Data Analysis, Machine Learning, Natural Language Processing, Disinformation - Fake News, Digital Marketing
Team Role: Coordinator, Researcher
PhD Candidate
Main Research Interests: Deep Learning, Machine Learning, Natural Language Processing, Knowledge Graphs
Team Role: Researcher
Postgraduate Research Fellow
Main Research Interests: Open Data, Linked Data, Semantic Web, Data Mining, Machine Learning, Natural Language Processing
Team Role: Researcher
Postgraduate Research Fellow
Main Research Interests: Digital Transformation, Semantic Web, Machine Learning, Natural Language Processing
Team Role: Researcher
Postgraduate Research Fellow
Main Research Interests: eGovernment, Data Analysis, Deep Learning, Machine Learning, Natural Language Processing, eCommerce
Team Role: Researcher
PhD Candidate
Main Research Interests: Data Analysis, Artificial Inteligence, Game-Based Learning, Digital Education, Serious Games
Team Role: Researcher

Select

Date Range

Date Range
Research Area
Select Research Area
Research Area