Semantic metadata describing subject content plays a vital role in supporting indexing and retrieval in Digital Libraries. Mechanisms used to deliver this metadata include keyword collections, thesauri and classi®cations. Constructing a large thesaurus, however, is a dicult process which can be facilitated through the application of knowledge representation techniques developed for managing an...

Abstract As a best practice for sustainable construction, Construction Waste Prevention (CWP) is poorly practiced, and may be largely associated with the knowledge, attitude, behaviour of construction practitioners. With focus on Knowledge, Attitude, Practice (KAP) CWP, this study was purposed to provide an in-depth analysis implementation CWP within industry, using meta-synthesis purposively s...

The goal of our work is to facilitate the development of medical knowledge-based systems by providing a library of reusable ontologies. The availability of such a library reduces the amount of knowledge acquisition required to create knowledge bases of new applications, and makes it easier to connect a knowledge-based system to existing data bases. This article presents a case study in construc...

There have been a lot of results which illustrate that knowledge anxiety is an important reason payment, however, its specific mechanism still needs to be deepened, and whether payment has effects on mentality in return also further research. Specifically, this paper deepens the expert system theory, one Giddens' disembedding mechanisms, reveals stepped theory (SEST) contains inherent contradic...

WordsEye is a system for converting from English text into three-dimensional graphical scenes that represent that text. At the core of WordsEye is the Scenario-Based Lexical Knowledge Resource (SBLR), a unified knowledge base and representational system for expressing lexical and real-world knowledge needed to depict scenes from text. This paper explores information collection methods for build...

We describe and motivate the design of a lexico-grammatical knowledgebase called StringNet and illustrate its significance for research into constructional phenomena in English. StringNet consists of a massive archive of what we call hybrid n-grams. Unlike traditional n-grams, hybrid n-grams can consist of any co-occurring combination of POS tags, lexemes, and specific word forms. Further, we d...

A text understanding system with learning capabilities is presented. New concepts are acquired by incorporating two kinds of evidence { knowledge about linguistic constructions in which unknown lexical items occur and knowledge about structural patterns in ontologies such that new concept descriptions can be compared with prior knowledge. On the basis of the quality of evidence gathered this wa...

General knowledge acquisition entails the extraction of statistical regularities from the environment. At high levels of complexity, this may involve the extraction, and consolidation, of associative regularities across event memories. The underlying neural mechanisms would likely involve a hippocampo-neocortical dialog, as proposed previously for system-level consolidation. To test these hypot...