Acquiring knowledge about human goals from Search Query Logs

A better understanding of what motivates humans to perform certain actions is relevant for a range of research challenges including generating action sequences that implement goals (planning). A first step in this direction is the task of acquiring knowledge about human goals. In this work, we investigate whether Search Query Logs are a viable source for extracting expressions of human goals. For this purpose, we devise an algorithm that automatically identifies queries containing explicit goals such as find home to rent in Florida. Evaluation results of our algorithm achieve useful precision/recall values. We apply the classification algorithm to two large Search Query Logs, recorded by AOL and Microsoft Research in 2006, and obtain a set of ∼110,000 queries containing explicit goals. To study the nature of human goals in Search Query Logs, we conduct qualitative, quantitative and comparative analyses. Our findings suggest that Search Query Logs (i) represent a viable source for extracting human goals, (ii) contain a great variety of human goals and (iii) contain human goals that can be employed to complement existing commonsense knowledge bases. Finally, we illustrate the potential of goal knowledge for addressing following application scenario: to refine and extend commonsense knowledge with human goals from Search Query Logs. This work is relevant for (i) knowledge engineers interested in acquiring human goals from textual corpora and constructing knowledge bases of human goals (ii) researchers interested in studying characteristics of human goals in Search Query Logs.     

Socio‐emotional adjustment in elementary school boys and girls: Does giftedness make a difference?

Fifty 10‐year‐old gifted children were matched with 50 pupils of average intelligence on the variables ‘gender’ and ‘socio‐economic status’. Three data sources (children, parents, and teachers) on the children's personality and socio‐emotional behavior were used.     

What keeps science spiralling? Unravelling the critical success factors of knowledge creation in university research

Based on Nonaka’s knowledge spiral, this paper examines how processes of knowledge creation contribute to success in academia. It presents the outcomes of an in-depth exploration of the workings of the knowledge spiral in a university research institute. The research shows the outstanding but undervalued importance of socialization processes. It also shows that, while research success is typically defined at the interplay of the individual, group and institutional levels, in the institute that was examined none of the four knowledge creation processes (socialization, externalization, combination and internalization) appears to run smoothly at the institutional level.