PREMIS OWL

Retroactivism in the Lesbian Archives: Composing Pasts and Futures

Publication and Usage of Official Czech Pension Statistics Linked Open Data

Social media posts and other time-stamped text can carry lots of useful information. However, their proper analysis requires capturing the semantics of what is mentioned in their contents, filtering what is of interest for particular application domains, and structuring the extracted information for analytical purposes. This work proposes an approach to analyze the incidences of mentions of interest for some domain in these texts, by combining Semantic Web and Business Intelligence (BI) technologies. This approach is supported by an automatic ETL process that semantically annotates textual clips with Linked Open Data (LOD), filters LOD resources of interest in the annotations by using bridges between LOD classes and a high-level domain ontology, and adapts existing LOD hierarchies accordingly to serve as analysis dimensions. Experimental results show that our proposal: (i) is able to find a considerable number of mentions to things of interest for business in tweets recently sent from Brazil; (ii) allows the identification of the most mentioned (classes of) things of interest; and (iii) enables new useful queries for information analysis on data cubes with some dimensions derived from existing LOD hierarchies.

The National Diet Library (NDL) is Japan’s national library, established in 1948 to provide research facilities for members of parliament, but now used most by the general public. Similar in purpose and scope to the US Library of Congress, the NDL is a deposit library, and collects copies of all publications that originate in Japan. For nearly a decade and a half the Library has been making digital reproductions of paper documents and printed material, but the pace at which it has added to its digitised content has speeded up remarkably in recent years. It has also developed and continues to enhance integrated search services that allow users to cross-search the databases of many other museums, libraries, archives and research institutes in Japan and retrieve information resources from them. A digital archive of records of the earthquake and related disasters that struck Japan in March 2011 is under way.

This paper presents the vision of aggregating, harmonizing, and publishing letter catalog metadata (information e.g. of senders, receivers and datings of letters) from cultural heritage (CH) institutions in Finland as a single reconciled Linked Open Data (LOD) service and a semantic portal providing data analytical tools for researchers. The research is conducted as part of the consortium research project Constellations of Correspondence (CoCo). The target of the project is to study – for the first time – scattered, heterogeneous epistolary metadata regarding the period of the Grand Duchy of Finland (1809–1917) as one, integrated dataset and make it interoperable and available. This will enable scholars to ask ambitious research questions in the field of computer science and to conduct empirical, bottom-up case studies e.g. on epistolary culture, communicative networks, and heritagization processes. This paper discusses one of the first datasets acquired by the project, the letter collection of the Board of the Finnish Art Society (1846–1901), provided by the Finnish National Gallery, which contains details of c. 1150 letters sent or received by c. 400 actors.

Preservation of interactive multimedia performances is becoming important as they are getting more and more popular in performing arts communities. A proper preservation does not only require keeping all the necessary components available at the time of reconstruction but also the knowledge about these components are assembled together for in performance. In digital preservation, metadata has been seen as a mean of enabling semantic processing, cataloguing and querying on preserved digital objects. However, as a record based approach, metadata is weak at describing interrelationships between digital objects in digital archives, which is one of the key requirements for preservation of interactive multimedia performances. In this paper, a domain ontology for describing the complex relationships amongst different components of a performance to support its preservation process is introduced.

Digital preservation is a significant challenge for cultural heritage institutions and other repositories of digital information resources. The challenges of long-term access issues are multifaceted, often requires a mixture of approaches. The Preservation Metadata Implementation Strategies (PREMIS) has been extremely influential on providing a “core” set of preservation metadata elements that support the digital preservation process. However, there is no evidence, in the form of previous research, as to what factors explain and predict the level of adoption of PREMIS. This paper will present some preliminary result on factors that affect the adoption of PREMIS in cultural heritage institutions. The study employed a web-based survey to collect data from 123 participants in 20 country as well as a semi-structured, follow-up telephone interview with a smaller sample of the survey respondents. Roger's diffusion of innovation theory was used as a theoretical framework. The main constructs considered for the study were relative advantage, compatibility, complexity, trialability, observability, and institution readiness. The study yielded both qualitative and quantitative data, and preliminary analysis showed that all six factors influence the adoption of PREMIS in varying degrees.

본 연구는 디지털 융복합 부문의 하나로 고전문학과 정보기술의 적용방법을 제시하였다. 이를 위하여 고전문학을 위한 클라우드 디지털 아카이브 프레임워크를 제안하였다. 클라우드 컴퓨팅 환경은 최근의 기술 트랜드중의 하나이며, 정보기술 분야의 중요한 키워드가 되었다. 이를 고전문학의 하나인 판소리 아카이브 모형을 연계하여 클라우드 컴퓨팅 환경에서도 서비스가 지원될 수 있도록 기능 프레임워크를 제시하였다. 또한 각 특성에 따른 메타데이터 모델과 데이터 구조를 설정하였으며, 판소리 아카이브 지원을 위한 서비스 프레임워크를 추가하였다. 이러한 구조는 고전문학 자료의 평가, 보존, 접근의 프로세스를 가지며, 아카이브에서는 디지털 아카이브, 메타데이터를 통한 연계모형으로 구성되었다. This research aimed an application method to connect traditional culture and information technology that is one of the digital convergence area. For this purpose, we proposed cloud digital archive framework for traditional culture. Actually, cloud computing environment is one of new technology trend and would be a important keyword for information technology. This research focus on functional framework that is able to support service in cloud computing environment to connect pansori archive model, one of traditional culture. We also make a data structure and metadata by each characteristics, and insert a service framework to support pansori archive. This structure consists of data evaluation, preservation, and access process. This archive has a relation model with digital archive and metadata.

Digital information in any form is at risk. Software and hardware become obsolete, and versions and file formats change, making data inaccessible. Data stored in even the simplest form are in danger due to computer media degradation and obsolescence. On-line information such as e-journals and databases are susceptible. They may become partially or entirely unreadable, and may not be recoverable by the time the problem is detected. Preservation strategies such as emulation (keeping alive the software and hardware needed to access a digital object), migration (converting the digital object to new versions and formats), and other long-term archival methods have been proposed [1-7]. Models such as the Open Archival Information System (OAIS) provide an architecture for conducting digital preservation research and experimentation [8-10]. The importance of preservation metadata has been recognized by a number of groups and efforts to develop and deploy metadata standards are underway [11-14].As more and more digital information is created, attention must be paid to what information should be preserved and how it can be preserved most economically and effectively. It is clear that for preservation to be successful, we need to pay attention not only to the format of digital objects, but also to the commitment we make to providing long-term access to the information. Thus, decisions about digital preservation will involve technical issues as well as economic, legal, social, and organizational ones. Is it possible or feasible to preserve all digital data automatically and in a cost effective way? How much functionality can or must be preserved? What type of metadata will be needed to ensure both access and preservation? What metrics do we use to evaluate whether our methods will be successful.Panelists will make short presentations about work in which they have been involved and which reflect a variety of aspects of digital preservation. Reagan Moore will discuss the levels of abstraction that are needed to create infrastructure independent representations for data, information, and knowledge, and he will discuss a prototype persistent digital archive. The persistent archive infrastructure has been developed for use by the National Archives and Records Administration and other Federal agencies. William Underwood will report on lessons learned in preserving digital records created on personal computers. The records being examined are the digital records created on personal computers during the administration of President George Bush (1988-1992). Vicky Reich will present work on the LOCKSS (Lots of Copies Keep Stuff Safe) project, which is a permanent web publishing and access system. LOCKSS software allows libraries to retain local collection control of materials delivered through the web while preserving the functionality of the original web based content. Robin Dale will report on activities of the preservation program of the Research Libraries Group (RLG). She will focus on the joint work of RLG and OCLC (Online Computer Library Center) on preservation metadata. Following the presentations by the four panelists, Alexa McCray will provide brief comments and then open the discussion for audience participation.

The ever-shifting landscape of cataloging standards over the last decade has kept library and information science (LIS) educators on their toes, and continuing developments only promise to maintain this trend. Examples include the publication of the International Federation of Library Association & Institution’s (IFLA’s) conceptual model Library Reference Model (LRM) in 2017, the release of the new and heavily revised version of the cataloging content standard Resource Description and Access (RDA) in 2020, and Library of Congress’ upcoming Bibliographic Framework (BIBFRAME) standard for encoding and publishing library data. These new standards have altered the way in which cataloging work is conceived and discussed, radically changed the interfaces used for accessing cataloging documentation, and are now spurring the creation of new software and tools for cataloging work, including Library of Congress’ new Marva metadata editor. At the same time, the increasing inclusion of linked data projects in libraries, archives, and other cultural heritage institutions are requiring new skills, practices, and workflows that cataloging and metadata librarians must be prepared for. With many of these standards and initiatives not fully implemented in the majority of libraries, cataloging educators face a dilemma in deciding how best to prepare their students to successfully navigate this time of change, where old and new standards and practices intersect.
 The Technical Services Education SIG session will include a panel of three educators (two of whom are current cataloging practitioners) with unique perspectives on strategies for teaching toward emerging cataloging standards. After brief presentations by each of the panelists, audience members will be encouraged to ask questions and offer their own experiences and ideas concerning this area of LIS education.
 This conversation aligns well with the ALISE conference theme of “Go Back and Get It: From One Narrative to Many” as cataloging practice and education must be in constant dialogue about the preparation of LIS students for the lifespan of their careers. How can LIS educators prepare students for an environment in which different institutions are facing drastically different plans and timelines for the implementation of new standards? How can teaching practices be adjusted to best leverage current best practices alongside new strategies? And how can study of past, present, and emerging cataloging standards and practices provide a solid foundation on which LIS students can build throughout their careers? This panel will offer opportunities for LIS educators to reach back to knowledge and experiences concerning previous standards transitions, share best practices for addressing the current, dynamic environment, and look toward the future of cataloging and metadata education and preparation.

The biomedical data landscape is fragmented with several isolated, heterogeneous data and knowledge sources, which use varying formats, syntaxes, schemas, and entity notations, existing on the Web. Biomedical researchers face severe logistical and technical challenges to query, integrate, analyze, and visualize data from multiple diverse sources in the context of available biomedical knowledge. Semantic Web technologies and Linked Data principles may aid toward Web-scale semantic processing and data integration in biomedicine. The biomedical research community has been one of the earliest adopters of these technologies and principles to publish data and knowledge on the Web as linked graphs and ontologies, hence creating the Life Sciences Linked Open Data (LSLOD) cloud. In this paper, we provide our perspective on some opportunities proffered by the use of LSLOD to integrate biomedical data and knowledge in three domains: (1) pharmacology, (2) cancer research, and (3) infectious diseases. We will discuss some of the major challenges that hinder the wide-spread use and consumption of LSLOD by the biomedical research community. Finally, we provide a few technical solutions and insights that can address these challenges. Eventually, LSLOD can enable the development of scalable, intelligent infrastructures that support artificial intelligence methods for augmenting human intelligence to achieve better clinical outcomes for patients, to enhance the quality of biomedical research, and to improve our understanding of living systems.

This demo paper introduces SMOB, an open, distributed and semantic microblogging system using Semantic Web technologies (RDF(S)/OWL and SPARQL) and Linked Data principles. We present its ontology stack and related annotations, its distributed architecture, and its interlinking capabilities with the Linking Open Data cloud.KeywordsSocial WebSemantic WebLinked DataMicrobloggingDistributed Architectures

The field of Biomedical research is currently one with the greatest social impact and publication volume, providing continuous advances and results which should, to a great extent, reach the general clinical practice. Similarly, direct clinical experience may offer experimental results and conclusions which may lead, guide and foster new investigations. However, this interaction between research and clinical practice is yet too far from being optimal. On one side, research results are published without standardization, suffering terminological issues, which prevent its automatic handling and great scale information treatment/management. On the other, for the practitioner, the task of reviewing papers, bibliography, experimental results, etc. in order to keep updated his everyday clinical practice, is very time consuming, causing not to be done continuously.The implantation of Information Technologies in the biomedical research field has developed numerous search and bibliographic management resources, existing a current trend towards building and publishing open access terminologies, ontological knowledge models and big datasets with biomedical content. All together, beside Semantic Web technologies, methodologies and Linked Open Data and AI techniques, conforms a technological framework which gives the opportunity to bridge the gap between research and clinical practice to support the physician in evidence based decision making.In this work, as a starting point to the final aim of linking research and clinical practice, we describe a Semantic Bibliographical Recommender System (SBRS) based on patient profile integrated with electronic health record (EHR) which, without closing the loop, offers to the medical professional the latest and most significant experimental evidences related to his concrete case study. The system’s functionality and utility is exemplified through real life psychiatric cases, assisted by an expert psychiatrist.

In recent years, cultural heritage institutions have been exploring the benefits of applying Linked Open Data to their catalogs and digital materials. Innovative and creative methods have emerged to publish and reuse digital contents to promote computational access, such as the concepts of Labs and Collections as Data. Data quality has become a requirement for researchers and training methods based on artificial intelligence and machine learning. This article explores how the quality of Linked Open Data made available by cultural heritage institutions can be automatically assessed. The results obtained can be useful for other institutions who wish to publish and assess their collections.

Cultural heritage is the way of life. Using digital technology to manage the information of cultural heritage has become an important issue on the perseverance of cultural heritage. Several cultural heritage institutions have their own large databases with different metadata schemas. Linked Open Data is a mechanism of publishing structured data that allows metadata to be connected. This paper presents a methodology for integrating, converting Lanna cultural heritage metadata and linking data to external data sources. Our framework uses OAI-PMH (Open Archives Initiative—Protocol for Metadata Harvesting) by converting the various metadata formats to Dublin Core metadata standard. The Dublin Core/XML was used for the integrated metadata to create a central repository of data sources. The OAI harvester was developed to extract data from the various repositories and gather data into the repository. A framework for publishing the repository data as a Linked Data source in the RDF format using the OAM Framework is described. In this framework, ontology is used as a common schema for publishing the RDF data from the database sources by mapping database schema to ontology. Finally, we demonstrate Linked Data consumption by creating a cultural heritage portal application prototype from the published RDF data sources.