87 research outputs found
The Linked Earth Wiki: A Controlled Crowdsourcing Platform for High-Quality Ontology Development and Data Curation
No full text<p>The Linked Earth Wiki is an extension of Organic Data Science, a framework for scientific collaboration. Both extend MediaWiki, using Semantic MediaWiki for organizing information.</p>
<p>The Linked Earth Wiki has been used to describe over 600 datasets in paleo-climate sciences, and currently supports a dozen working groups with over 50 active contributors</p>
The First Provenance Challenge
No full textThe first Provenance Challenge was set up in order to provide a forum for the community to help understand the capabilities of different provenance systems and the expressiveness of their provenance representations. To this end, a Functional Magnetic Resonance Imaging workflow was defined, which participants had to either simulate or run in order to produce some provenance representation, from which a set of identified queries had to be implemented and executed. Sixteen teams responded to the challenge, and submitted their inputs. In this paper, we present the challenge workflow and queries, and summarise the participants contributions
The DISK portal v1.0.0
No full text<p>This software implements the DISK approach with a portal for creating hypothesis, lines of inquiry and testing them against the WINGS workflow system.</p>
<p>DISK can formulate new hypotheses by refining user-provided hypothesis statements. For example, in the omics domain, DISK is aware of the concept of mutations. As part of its automated analysis, DISK tests both the user-defined hypothesis and mutation-related revisions thereof. DISK uses the WINGS workflow system for both workflows and meta-workflows. The result of a meta-workflow is always a hypothesis revision, which can be either an updated confidence value for the initial hypothesis or a different hypothesis</p>
Mapping the structure and development of Science using co-citation analysis
Get PDFCo-citation analysis is a unique method used for studying the cognitive structure of science andassessing the research productivity. It is a research tool for examining the intellectual development and structure of the scientific discipline. This paper illustrates principles, techniques and applications of co-citation analysis. It also introduces the newly emerging co-citation analysis softwares,especially SciVal Spotlight and CiteSpace. Co-citation analysis is based on grouping together the papers that are frequently cited in pairs. Combined with single-link clustering and multidimensional scaling techniques, co-citation analysis can literally map the structure of specialized research areas as well as science as a whole
Trellis: An interactive tool for capturing information analysis and decision making
No full textTRELLIS provides an interactive environment that allows users to add their observations, opinions, and conclusions as they analyze information by making semantic annotations about on-line documents. TRELLIS includes a vocabulary and markup language for semantic annotations of decisions and tradeoffs, and allows users to extend this vocabulary with domain specific terms or constructs that are useful to their particular task. To date, we have used TRELLIS with a variety of scenarios to annotate tradeoffs and decisions (e.g., military planning), organize materials (e.g., search results), analyze disagreements and controversies on a topic (e.g., intelligence analysis), and handle incomplete and conflicting information (e.g., genealogy research)
A comparison of (semantic) markup languages
No full textSeveral languages have been proposed as candidates for semantic markup. We needed to adopt a language for our current research on developing user-oriented tools operating over the Semantic Web. This paper presents the results of our analysis of three candidates that we considered: XML, RDF, and DAML+OIL along with their associated schemas and ontology specifications. The analysis focuses on the expressiveness of each language, and is presented along several dimensions and summarized in a comparison table.
A comparison of (semantic) markup languages
No full textSeveral languages have been proposed as candidates for semantic markup. We needed to adopt a language for our current research on developing user-oriented tools operating over the Semantic Web. This paper presents the results of our analysis of three candidates that we considered: XML, RDF, and DAML+OIL along with their associated schemas and ontology specifications. The analysis focuses on the expressiveness of each language, and is presented along several dimensions and summarized in a comparison table. A surprising result of our analysis is the decision to adopt XML(Schema) for practical reasons, since it is able to accommodate a relatively expressive set of constructs and is widely known and commercially supported. We also discuss how we plan to complement XML(S) with a small set of conventions, so that we will have an easier transition to other markup languages in the future
Trusting information sources one citizen at a time
No full textThis paper describes an approach to derive assessments about information sources based on individual feedback about the sources. We describe TRELLIS, a system that helps users annotate their analysis of alternative information sources that can be contradictory and incomplete. As the user makes a decision on which sources to dismiss and which to believe in making a final decision, TRELLIS captures the derivation of the decision in a semantic markup. TRELLIS then uses these annotations to derive an assessment of the source based on the annotations of many individuals. Our work builds on the Semantic Web and presents a tool that helps users create annotations that are in a mix of formal and human language, and exploits the formal representations to derive measures of trust in the content of Web resources and their original source
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