Knowledge Base Construction from Pre-trained Language Models by Prompt learning

Pre-trained language models (LMs) have advanced the state-of-the-art for many semantic tasks and have also been proven effective for extracting knowledge from the models itself. Although several works have explored the capability of the LMs for constructing knowledge bases, including prompt learning, this potential has not yet been fully explored. In this work, we propose a method of extracting factual knowledge from LMs for given subject-relation pairs and explore the most effective strategy to generate blank object entities for each relation of triples. We design prompt templates for each relation using personal knowledge and the descriptive information available on the web such as WikiData. The probing approach of our proposed LMs is tested on the dataset provided by the International Semantic Web Conference (ISWC 2022) LM-KBC Challenge. To cope with the problem of varying performance for each relation, we designed a parameter selection strategy for each relation. Using the test dataset, we obtain an F1-score of 0.4935%, which is higher than the baseline of 31.08%

Collaborative knowledge management - A construction case study

Due to the new threats and challenges faced by the construction industry today, construction companies must seek new solutions in order to remain ahead of the competition. Knowledge has been identified to be a significant organisational resource, which if used effectively can provide competitive advantage. A lot of emphasis is being put on how to identify, capture and share knowledge in today's organisations. It has been argued over the years that due to the fragmented nature of the construction industry and ad-hoc nature of the construction projects, capture and reuse of valuable knowledge gathered during a construction project pose a challenge. As a result critical mistakes are repeated on projects and construction professionals have to kee

Fostering collaborative knowledge construction with visualization tools

This study investigates to what extent collaborative knowledge construction can be fostered by providing students with visualization tools as structural support. Thirty-two students of Educational Psychology took part in the study. The students were subdivided into dyads and asked to solve a case problem of their learning domain under one of two conditions: 1) with content-specific visualization 2) with content-unspecific visualization. Results show that by being provided with a content-specific visualization tool, both the process and the outcome of the cooperative effort improved. More specifically, dyads under that condition referred to more adequate concepts, risked more conflicts, and were more successful in integrating prior knowledge into the collaborative solution. Moreover, those learning partners had a more similar individual learning outcome

Construction of environmental knowledge: experiences from India

This paper explored key issues in how knowledge of the environment is constructed in the Third World. Drawing on which, it showed that there are both explicit and implicit ways in which this knowledge is contested. Particularly, it discussed how implicit forms of contestation are problematic in Third World economies because they are exclusionary and also where such issues become ‘headlines’ only after environmental damage and accompanying social injustices have resulted. It concludes by raising crucial questions for environmental research in the Third World where there is limited role of governments and communities in protecting their environment

From knowledge presentation to knowledge representation to knowledge construction: Future directions for hypermedia

Relationships between human memory systems and hypermedia systems are discussed with particular emphasis on the underlying importance of associational memory. The distinctions between knowledge presentation, knowledge representation, and knowledge constructions are addressed. Issues involved in actually developing individualizable hypermedia based knowledge construction tools are presented