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Expert-sourcing domain-specific knowledge: The case of synonym validation
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Max Planck Institut für Informatik, DEU.
2019 (Engelska)Ingår i: CEUR Workshop Proceedings, CEUR-WS , 2019Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

One prerequisite for supervised machine learning is high quality labelled data. Acquiring such data is, particularly if expert knowledge is required, costly or even impossible if the task needs to be performed by a single expert. In this paper, we illustrate tool support that we adopted and extended to source domain-specific knowledge from experts. We provide insight in design decisions that aim at motivating experts to dedicate their time at performing the labelling task. We are currently using the approach to identify true synonyms from a list of candidate synonyms. The identification of synonyms is important in scenarios were stakeholders from different companies and background need to collaborate, for example when defining and negotiating requirements. We foresee that the approach of expert-sourcing is applicable to any data labelling task in software engineering. The discussed design decisions and implementation are an initial draft that can be extended, refined and validated with further application. Copyright © 2019 by the paper’s authors.

Ort, förlag, år, upplaga, sidor
CEUR-WS , 2019.
Nyckelord [en]
Computer software selection and evaluation, Design, Supervised learning, Data labelling, Design decisions, Domain-specific knowledge, Expert knowledge, High quality, Supervised machine learning, Task-needs, Tool support, Requirements engineering
Nationell ämneskategori
Programvaruteknik
Identifikatorer
URN: urn:nbn:se:bth-18583Scopus ID: 2-s2.0-85068039728OAI: oai:DiVA.org:bth-18583DiVA, id: diva2:1349128
Konferens
2019 Joint of International Conference on Requirements Engineering: Foundation for Software Quality Workshops, Doctoral Symposium, Live Studies Track, and Poster Track, REFSQ-JP 2019, 18 March 2019
Tillgänglig från: 2019-09-06 Skapad: 2019-09-06 Senast uppdaterad: 2019-09-20Bibliografiskt granskad

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Unterkalmsteiner, Michael

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