how to write systematic literature reviews (ideally, your first phd paper)
TRANSCRIPT
Experimentation in Engineering-How to build systematic literature
reviews-
Natalia Díaz Rodríguez Abo Akademi University, Finland
Background motivation
• My topic: Ontologies: formal conceptualization to represent general knowledge and allow automatic reasoning/inference.
Iterative process
• Skills learned: – Structuring a paper: “Systematic”
• Introduction(relevant and motivating main problems, how solutions complement each other, how they differ).
• Basic theory + examples of current method/technology. • Focus on discussion and future directions:
– how to make it useful for the reader, and save him time
– Not enough saying [1] did X and [2] did Y. Instead: • Positive and negative sides of relevant approaches • Highlight common aspects with respect to the paper’s
aim. – Patience and Persistence. – Build logic intuition on the paper (and your thesis!)
flow.
Make comparative tables, taxonomies, graphs, trees
Make comparative tables, taxonomies, graphs, trees
Evaluation
• Sometimes very difficult. – No metrics? Design one!
• Detail 15 ontologies highlighting degree of focus on modelling different domains. – 3 degrees of coverage X, XX, XXX.
• 18 most covered subdomains: Device, environment, interface, location, network, provider, role, service, context source, time, user, imprecision/uncertainty, message, behaviour granulatiry, behaviour models, social interaction, implementation available, other specific domains modelled.
• Identify missing elements in ontologies, that we consider relevant for modelling human behaviour in smart spaces (these can be used for your next article)
Pitfall rate evaluation based on OOPS! tool
Degree of domain coverage rate
Example of response letter(sent in 2 rounds)
Conclusions and Learnings
– Selecting Journal: • 1 of the most cited in your paper • See evaluation methods and ways of classifying existing literature you are
tackling. • Write cover letters tackling each issue
– Be rigorous and methodic when structuring knowledge. Provide useful results. • Group trends or current branches. • Consistency with naming (e.g. HAR, HBR, B. Detection, B. Recognition)
– Copyrights: tricky, redrawing images does not always work.
– Reserve time, make it your first article of your PhD!
– Describe changes made, be assertive and be willing to be flexible refactoring.
– Avoid writing too much – Ask professional translator to improve language +
grammar. – Be explicit in title to get best fitting reviewer: from A
survey on semantic modelling of human behavior to A survey on ontologies for human behaviour recognition.
Conclusions and Learnings
