Faceted search and retrieval based on semantically annotated product family ontology

WSDM'2009 ACM Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2009, Barcelona, 9 February 2009With the advent of various services and applications of Semantic Web, semantic annotation had emerged as an important research area. The use of semantically annotated ontology had been evident in numerous information processing and retrieval tasks. One of such tasks is utilizing the semantically annotated ontology in product design which is able to suggest many important applications that are critical to aid various design related tasks. However, ontology development in design engineering remains a time consuming and tedious task that demands tremendous human efforts. In the context of product family design, management of different product information that features efficient indexing, update, navigation, search and retrieval across product families is both desirable and challenging. This paper attempts to address this issue by proposing an information management and retrieval framework based on the semantically annotated product family ontology. Particularly, we propose a document profile (DP) model to s ggest semantic tags for annotation purpose. Using a case study of digital camera families, we illustrate how the faceted search and retrieval of product information can be accomplished based on the semantically annotated camera family ontology. Lastly, we briefly discuss some further research and application in design decision support, e.g. commonality and variety, based on the semantically annotated product family ontology.Department of Industrial and Systems EngineeringRefereed conference pape

Compliance management ontology – a shared conceptualization for research and practice in compliance management

The diversity of stakeholders in compliance management initiatives contributes to the challenges organisations face when managing compliance, and consequently adds to the cost of compliance. In particular, there is evidence that the lack of a common or shared understanding of compliance management concepts is a barrier to effective compliance management practice. Taking an information-centric view to addressing this challenge, this paper reports on the development of an ontology intended to provide a shared conceptualisation of the compliance management domain for various stakeholders. The ontology is based on input from domain experts and practitioners, validated and refined through eight case studies, and subsequently evaluated for its usability in practice

Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

This corrects the article DOI: 10.1038/sdata.2017.179

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D