scispace - formally typeset
C

Carole Goble

Researcher at University of Manchester

Publications -  532
Citations -  31208

Carole Goble is an academic researcher from University of Manchester. The author has contributed to research in topics: Workflow & Ontology (information science). The author has an hindex of 74, co-authored 511 publications receiving 26919 citations. Previous affiliations of Carole Goble include University of Southampton & Victoria University of Manchester.

Papers
More filters
Book ChapterDOI

Semantic Web based Content Enrichment and Knowledge Reuse in e-Science

TL;DR: This work illustrates through a semantic web based knowledge management approach the potential of applying semantic web technologies in GEODISE, an e-Science pilot project in the domain of Engineering Design Search and Optimization.
Proceedings ArticleDOI

Putting semantics into e-Science and grids

TL;DR: Given the past experiences with scientists, grid developers and semantic Web researchers, what are the prospects, and pitfalls, of putting semantics into e-Science applications and grid infrastructure?
Proceedings ArticleDOI

ReputationNet: A Reputation Engine to Enhance ServiceMap by Recommending Trusted Services

TL;DR: An extension of ServiceMap is proposed that incorporates the reputation of services/workflows and their publishers to reinforce its capability in terms of service and workflow recommendations and proposes heuristic algorithms to provide service recommendations based on reputations.
Book ChapterDOI

Towel: a real world mobility on the Web

TL;DR: The ‘Towel’ project seeks to find solutions to problems encountered by both visually impaired and sighted users when travelling in the World Wide Web by likening web-travel to real-world travel in terms of mobility, navigation, orientation, and mapping, and by fitting web- travel into a real- world travel framework a number of similarities can be identified and problems characterised.
BookDOI

The Semantic Web – ISWC 2014

TL;DR: The Dutch Ships and Sailors Linked data Cloud is a potential hub dataset for digital history research and a prime example of the benefits of Linked Data for this field.