Klaas Andries de Graaf

Klaas Andries de Graaf
Vrije Universiteit Amsterdam | VU · Department of Computer Science

PhD

About

16
Publications
3,538
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134
Citations
Introduction
Klaas Andries currently works in the data science department at TNO. He used to work as a postdoc at the Knowledge Representation & Reasoning group at the AI Department at Vrije Universiteit Amsterdam, where he did research on semantic web and software architecture and collaborated in the SlideWiki EU Project (www.slidewiki.org / www.slidewiki.eu). He also worked on linked data at the Food Informatics group at Wageningen University & Research. See http://www.kadegraaf.nl for more information.
Additional affiliations
April 2016 - January 2019
Vrije Universiteit Amsterdam
Position
  • PostDoc Position
January 2010 - March 2015
Vrije Universiteit Amsterdam
Position
  • PhD Student

Publications

Publications (16)
Chapter
The concentration of people, companies, research organizations and other activities in urban areas is a key process in the development of economies and societies. In order to investigate how these urban systems function, the OECD (Organization for Economic Co-operation and Development) in collaboration with EC (European Commission) and Eurostat hav...
Chapter
Accidental knowledge discoveries occur most frequently during capricious and unplanned search and browsing of data. This type of undirected, random, and exploratory search and browsing of data results in Serendipity – the art of unsought finding. In our previous work we extracted a set of serendipity-fostering design features for developing intelli...
Article
Full-text available
OpenCourseWare platforms for educational resources have the potential to open new horizons for knowledge sharing and e-learning by reaching learners beyond the constraints of traditional learning systems. SlideWiki is a crowd-sourcing platform that aims to rethink the creation and sharing of knowledge by providing an environment where authors can c...
Conference Paper
Serendipity, the art of making an unsought finding plays also an important role in the emerging field of data science, allowing the discovery of interesting and valuable facts not initially sought for. Previous research has extracted many serendipity-fostering patterns applicable to digital data-driven systems. Linked Open Data (LOD) on the Web whi...
Conference Paper
Full-text available
The comprehension of linked data, consisting of classes, individuals, attributes, relationships, and other elements, is challenging yet important for effective use of linked data. An approach to improve software program comprehension is through the code city metaphor, in which object-oriented source code is visualized as a habitable city in 3D. We...
Conference Paper
Most of the existing Web user interfaces (UIs) are hard-coded by their developers to address certain predefined types of data, and hence are blind to the semantics of data they are dealing with. When talking about unstructured data or data without an explicit semantic representation, our expectations of data-awareness are lower. However, when we co...
Article
Full-text available
A common approach to software architecture documentation in industry projects is the use of file-based documents. This approach offers a single-dimensional arrangement of the architectural knowledge. Knowledge retrieval from file-based architecture documentation is efficient if the organisation of knowledge supports the needs of the readers; otherw...
Conference Paper
Full-text available
Context: Software architecture documentation is used to communicate architectural knowledge. It is often difficult for document users to find all the architectural knowledge they need to do their tasks, and this results in wasted time and mistakes during development. Objective: In this paper we investigate how ontology-based documentation may suppo...
Conference Paper
Full-text available
Software documents are used to capture and communicate knowledge in software projects. It is important that this knowledge can be retrieved efficiently and effectively, to prevent wasted time and errors that negatively affect the quality of software. In this paper we investigate how software professionals search for knowledge in documentation. We s...
Article
Full-text available
The usefulness of Software Architecture (SA) documentation depends on how well its Architectural Knowledge (AK) can be retrieved by the stakeholders in a software project. Recent findings show that the use of ontology-based SA documentation is promising. However, different roles in software development have different needs for AK, and building an o...
Conference Paper
Full-text available
A common approach to software architecture documentation in industry projects is the use of file-based documents. This approach offers a single-dimensional perspective on the architectural knowledge contained. Knowledge retrieval from file-based architecture documentation is efficient if the perspective chosen fits the needs of the readers, it is l...
Conference Paper
Full-text available
The use of software documentation in traditional file-based format has various issues. Storing and annotating the content of software documentation in semantic wiki pages addresses many of these issues and supports knowledge retrieval. This paper reports on the application of semantic annotation and knowledge retrieval using the ArchiMind semantic...

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Projects

Projects (3)
Project
The overall objective of the project is to build a distributed infrastructure on data relevant for research and innovation dynamics and policies. The SMS platform as developed by RISIS partner Vrije Universiteit Amsterdam forms the technical and data core of the system. Here we have uploaded a series of papers describing the SMS platform and several of its functions.
Project
SlideWiki revolutionises how educational material is authored, shared and used. In this EU project we refactor and continuously improve SlideWiki to run large-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery, and Learning Analytics.