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Full-Text Articles in Physical Sciences and Mathematics
Trust-But-Verify: Guaranteeing The Integrity Of User-Generated Content In Online Applications, Akshay Dua
Trust-But-Verify: Guaranteeing The Integrity Of User-Generated Content In Online Applications, Akshay Dua
Dissertations and Theses
Online applications that are open to participation lack reliable methods to establish the integrity of user-generated information. Users may unknowingly own compromised devices, or intentionally publish forged information. In these scenarios, applications need some way to determine the "correctness" of autonomously generated information. Towards that end, this thesis presents a "trust-but-verify" approach that enables open online applications to independently verify the information generated by each participant. In addition to enabling independent verification, our framework allows an application to verify less information from more trustworthy users and verify more information from less trustworthy ones. Thus, an application can trade-off performance for …
The Problem Of Semantics In The Metadata Mess, Veronika Margaret Megler, David Maier
The Problem Of Semantics In The Metadata Mess, Veronika Margaret Megler, David Maier
Computer Science Faculty Publications and Presentations
This presentation addresses problems related to the volume of available scientific data, and its accessibility or inaccessibility to researchers who seek it. Topics addressed include metadata and reducing semantic diversity, especially as they refer to geospatial and other architectures
Taming The Metadata Mess, Veronika Margaret Megler
Taming The Metadata Mess, Veronika Margaret Megler
Computer Science Faculty Publications and Presentations
The rapid growth of scientific data shows no sign of abating. This growth has led to a new problem: with so much scientific data at hand, stored in thousands of datasets, how can scientists find the datasets most relevant to their research interests? We have addressed this problem by adapting Information Retrieval techniques, developed for searching text documents, into the world of (primarily numeric) scientific data. We propose an approach that uses a blend of automated and “semi-curated” methods to extract metadata from large archives of scientific data, then evaluates ranked searches over this metadata. We describe a challenge identified …