ECHO Facts for Users 4/98

ECHO = European Community Humanitarian Offic

From anarchy to good practice: the evolution of standards in archaeological computing

This paper reviews the importance of standards in archaeological computing and traces their development, and the tensions surrounding their deployment. Three categories of standards are defined: technical, content and metadata standards. Standards are shown to be particularly important to current initiatives which seek to achieve interoperability between distributed electronic resources. If we are to achieve the potential advantages of a semantic web for heritage data over traditional search engine technologies, standards are essential. The paper introduces the Archaeotools project, which is seeking to create a faceted browse interface to archaeological resources. It concludes that data standards and ontologies are essential to the success of such projects

ECHO Facts for Users 1/98

ECHO = European Community Humanitarian Offic

Access to Digital Cultural Heritage: Innovative Applications of Automated Metadata Generation Chapter 1: Digitization of Cultural Heritage – Standards, Institutions, Initiatives

The first chapter "Digitization of Cultural Heritage – Standards, Institutions, Initiatives" provides an introduction to the area of digitisation. The main pillars of process of creating, preserving and accessing of cultural heritage in digital space are observed. The importance of metadata in the process of accessing to information is outlined. The metadata schemas and standards used in cultural heritage are discussed. In order to reach digital objects in virtual space they are organized in digital libraries. Contemporary digital libraries are trying to deliver richer and better functionality, which usually is user oriented and depending on current IT trend. Additionally, the chapter is focused on some initiatives on world and European level that during the years enforce the process of digitization and organizing digital objects in the cultural heritage domain. In recent years, the main focus in the creation of digital resources shifts from "system-centred" to "user-centred" since most of the issues around this content are related to making it accessible and usable for the real users. So, the user studies and involving the users on early stages of design and planning the functionality of the product which is being developed stands on leading position

From anarchy to good practice: the evolution of standards in archaeological computing

This paper reviews the importance of standards in archaeological computing and traces their development, and the tensions surrounding their deployment. Three categories of standards are defined: technical, content and metadata standards. Standards are shown to be particularly important to current initiatives which seek to achieve interoperability between distributed electronic resources. If we are to achieve the potential advantages of a Semantic Web for heritage data over traditional search engine technologies, standards are essential. The paper introduces the Archaeotools project, which is seeking to create a faceted browse interface to archaeological resources. It concludes that data standards and ontologies are essential to the success of such projects

ARIADNEplus Data Aggregation Pipeline:User Guide (2.4)

The purpose of this User Guide is to provide a short introduction to the ARIADNEplus data aggregation pipeline. It defines, for the archaeological data providers, the process by which their data should be uploaded to the ARIADNE Content Cloud, so that it appears in the ARIADNEplus Catalogue, and can be searched via the ARIADNEplus Portal

Use of a Fast Information Extraction Method as a Decision Support Tool

Ad-hoc extraction of information from documents can ensure the transparency of decisions made by an organization. Different Information Extraction methods have been applied to extract information from various domains. Most widely known methods use manually annotated training documents that require high development time. The automated training methods are not scalable to large application domains. We have developed a semi-automated knowledge-engineering method for building the knowledge-base with minimal efforts. Because our method reduces manual processing of the training data, the development process is very fast. We have developed a prototype application to extract information from the project-reports of the American Recovery and Reinvestment Act (ARRA) of 2009. The fast development process of our system, its scalability to large application domains, and its high extraction effectiveness will help the transparency of management decisions by extracting and mining relevant information