Dr. Igor Popov

Interaction Designer / HCI Researcher / Software Developer

Currently Interaction Designer and Senior Software Engineer at Duedil.
Previously a PhD Student at University of Southampton, UK.

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Curriculum Vitae

About me

I'm a Interaction Designer and Senior UI Developer at DueDil. Before joining DueDil, I was a PhD student at the School of Electornics and Computer Science at the University of Southampton where I was a member of both the Web and Internet Science (WAIS) and the Agents, Interaction, and Complexity (AIC) groups. My doctoral research focused around Human-Computer Interaction aspects of Linked Data. Put it simply, my researh explored ways to help end users visualize, navigate, browse and consume data over the Web. My supervisors are dr m.c. schraefel and Professor Dame Wendy Hall.

Projects & Publications


I currently work at Duedil on interfaces for advanced search, exploration, and visualization over company data.



mashpoint is a framework that allows data rich apps to be connected based on similar entities in their data. By linking applications in this way we can browse the Web in a data-centric way.



boardpedia is a Pinterest style browser for Wikipedia using data from DBPedia. It is implementated to be a easy-to-use, configurable faceted browser over SPARQL endpoints.
(under development)



sampleAction is an interface that simulates rapid exploration and iterative queries over large scale datasets. The interface is designed to support incremental queries, caluculating error probabilities on partial queries and present results to users within certain margins of errors.



Visor is an data exploration interface for Wikipedia using data from DBPedia. Visor allows you to explore the DBPedia native ontology, view collections of data and develop tables using a user-friendly querying interface.



GEORDi is a generic browser based designed for end-users, those without technical skills, to discover, browse, navigate and support common sensemaking acctivites over distributed data sources.



dayta.me recommends various data for your day based on events in your Google Calendar. It shows relevant news, tweets, transport data, important persons, statistical data and weather based on events and personal context (e.g. location). Browsing in dayta.me is extended by providing further recommendations are extendedon the initial set of recommended data.


UK Region Checker

The UK Region Checker aggregates and visualises all available public information data just by inputing a post code.


Other Publications

Smith, Daniel Alexander, Popov, Igor and schraefel, mc (2010) Data Picking Linked Data: Enabling Users to create Faceted Browsers. At Web Science Conference 2010, Raleigh, NC, USA, 26 - 27 Apr 2010.

schraefel, monica, Smith, Daniel Alexander, Popov, Igor, Van Kleek, Max and Shadbolt, Nigel (2010) Will this work for Susan? Challenges for Delivering Usable and Useful Generic Linked Data Browsers.

Omitola, Temitope, Koumenides, Christos L., Popov, Igor O., Yang, Yang, Salvadores, Manuel, Correndo, Gianluca, Hall, Wendy and Shadbolt, Nigel (2010) Integrating Public Datasets Using Linked Data: Challenges and Design Principles. At Future Internet Assembly, Ghent, Belgium, 16 - 17 Dec 2010.

Simperl E., Mochol M., Bürger T., Popov I., Achieving Maturity: the State of Practice in Ontology Engineering in 2009, 8th International Conference on Ontologies, Databases, and Applications of Semantics ODBASE, 2009.

Imtiaz A., Giernalczyk A., Bürger T., Popov I., A predictive framework for value engineering within collaborative knowledge workspaces, eChallenges Conference, 2009.

Imtiaz A., Bürger T., Popov I., Simperl E. Framework for Value Prediction of Knowledge-based Applications, ECONOM2009 Workshop, BIS 2009.

Simperl E., Popov I., Bürger T. ONTOCOM revisited: Towards accurate cost predictions for ontology development projects, ESWC 2009.

Popov I., Ruiz Moreno C., Bürger T., Simperl E. Use cases for cost benefit information in collaborative knowledge creation. Technical Report, ACTIVE EU-IST Project, 2009.

Popov I., Bürger T., Imtiaz A.,Simperl E. Deliverable 4.1.1: Preliminary predictive model for costs and benefits. Technical Report, ACTIVE EU-IST Project, 2009. Popov I. A Cost Model for Lightweight Ontologies: Adapting the ONTOCOM Model. Technical Report TR-08-08-09, University of Innsbruck.

Popov I. Comparative analysis of Learning Management Systems. Technical Report TR-06-02-03, University of Geneva.