Ontologies and the Semantic Web for Digital Investigation Tool Selection

The nascent field of digital forensics is heavily influenced by practice. Much digital forensics research involves the use, evaluation, and categorization of the multitude of tools available to researchers and practitioners. As technology evolves at an increasingly rapid pace, the digital forensics field must constantly adapt by creating and evaluating new tools and techniques to perform forensic analysis on many disparate systems such as desktops, notebook computers, mobile devices, cloud, and personal wearable sensor devices, among many others. While researchers have attempted to use ontologies to classify the digital forensics domain on various dimensions, no ontology of digital forensic tools has been developed that defines the capabilities and relationships among the various digital forensic tools. To address this gap, this work develops an ontology using Resource Description Framework (RDF) and Ontology Web Language (OWL) which is searchable via SP ARQL ( an RDF query language) and catalogues common digital forensic tools. Following the concept of ontology design patterns, our ontology has a modular design to promote integration with existing ontologies. Furthermore, we progress to a semantic web application that employs reasoning in order to aid digital investigators with selecting an appropriate tool. This work serves as an important step towards building the knowledge of digital forensics tools. Additionally, this research sets the preliminary stage to bringing semantic web technology to the digital forensics domain as well as facilitates expanding the developed ontology to other tools and features, relationships, and forensic techniques

Eartharxiv: Today and Tomorrow

EarthArXiv is a preprint service for the Earth sciences — a web-based system that enables open access publishing of non peer-reviewed scholarly manuscripts before publication in a peer-reviewed journal. In this presentation, we provide analytics on the usage of EarthArXiv across a number of sub-disciplines of Earth science. Data indicate that the service in general is growing, but with submission rates varying amongst discipline. The trend of the preprint-to-postprint ratio for each discipline also provides insight into how the various Earth science communities are using the service. We investigate were preprints are published after submission to EarthArXiv and examine how many of these publication venues are listed in the Directory of Open Access Journals. Finally, we will discuss future opportunities we are exploring to make preprints more accepted and easier to use

PROVENANCE-BASED APPROACHES TO SEMANTIC WEB SERVICE DISCOVERY AND USAGE

The World Wide Web Consortium defines a Web Service as a software system designed to support interoperable machine-to-machine interaction over a network. Web Services have become increasingly important both within and across organizational boundaries. With the recent advent of the Semantic Web, web services have evolved into semantic web services whose components are described using machine understandable semantics. However, the discovery of semantic web services, the matching of user requirements to available services, still has a number of unanswered questions. In particular, there is criticism that current discovery methods focus exclusively on service inputs and outputs and ignore how services actually perform their tasks. This lack of information regarding how a service operates can also severely impact understanding of web service results. We show how ideas from data provenance - capturing the history and lineage of data - can be applied to web services. We describe our approach to capture service provenance using Semantic Web technologies and subsequently design a new web service discovery algorithm around it. Further, we present a framework for capturing and integrating provenance in multi-service workflows

PROVENANCE-BASED APPROACHES TO SEMANTIC WEB SERVICE DISCOVERY AND USAGE

The World Wide Web Consortium defines a Web Service as a software system designed to support interoperable machine-to-machine interaction over a network. Web Services have become increasingly important both within and across organizational boundaries. With the recent advent of the Semantic Web, web services have evolved into semantic web services whose components are described using machine understandable semantics. However, the discovery of semantic web services, the matching of user requirements to available services, still has a number of unanswered questions. In particular, there is criticism that current discovery methods focus exclusively on service inputs and outputs and ignore how services actually perform their tasks. This lack of information regarding how a service operates can also severely impact understanding of web service results. We show how ideas from data provenance - capturing the history and lineage of data - can be applied to web services. We describe our approach to capture service provenance using Semantic Web technologies and subsequently design a new web service discovery algorithm around it. Further, we present a framework for capturing and integrating provenance in multi-service workflows

Datasets and R Code for Narock et al. DSS Paper

The Narock et al., 2014 study on Semantic Web Services and Provenance contained an error in the statistical analysis. A subsequent Errata was published correcting the errors. These data and associated R code were used in that study and the creation of the Errata

ESIP Winter 2018 - PrePrint Session - Narock

Tom Narock's EarthArXiv presentation and session introduction from Thursday's preprint session at the winter meeting

ESIP RDF Data

<p>We are working to create Linked Open Data from the people, meetings, and clusters within the Earth Science Information Partnership (ESIP). This files are the bulk RDF data used to create the Linked Open Data.</p

ESIP Meeting RDF Data

<p>We are working to create Linked Open Data from the people, meetings, and clusters within the Earth Science Information Partnership (ESIP). This file represents the meetings expressed as RDF. Note that the URIs are likely to change as this data begins to be served publicly as Linked Open Data. The files will be updated at that time.</p