Paper Abstracts
| Paper Author | Paper Title & Abstract |
| Thomas Bosch, Richard Cyganiak, Joachim Wackerow, & Benjamin Zapilko | TITLE: Leveraging the DDI Model for Linked Statistical Data in the Social, Behavioural, and Economic Sciences ABSTRACT: Experts from the statistical domain worked in close collaboration with ontology engineers to develop an ontology of a subset of the Data Documentation Initiative, an established international standard for the documentation and management of data from the social, behavioral, and economic sciences. Experts in the statistics domain formulated use cases which are seen as most significant to solve frequent problems. Various benefits for the Linked Data and the statistics community as well are connected with an RDF representation of the developed ontology. In the main part of the paper, the DDI conceptual model as well as implementations are explained in detail. |
| Lucas Francisco da Matta Vegi, Jugurta Lisboa-Filho & Joep Crompvoets | TITLE: A Machine-Processable Dublin Core Application Profile for Analysis Patterns to Provide Linked Data ABSTRACT: Analysis patterns are reusable computational artifacts, aimed at the analysis stage of the development process of software. Although the analysis patterns can facilitate the work of analysts and developers by the reuse of proven useful and tested ideas, the access to them is still very poor because of the way they are usually described and made available. In order to reduce these deficiencies, supporting cataloging and encouraging the reuse of analysis patterns, the Analysis Patterns Reuse Infrastructure (APRI) was proposed. This infrastructure comprises a repository of analysis patterns documented through a specific metadata profile and accessed via Web services. Based on the proposal of APRI, this article presents the specific metadata profile to the documentation of analysis patterns called Dublin Core Application Profile for Analysis Patterns (DC2AP). This application profile is described by RDF files identified via URI, thus providing Linked Data that increase the potential for reuse of the analysis patterns. |
| Maja Žumer, Marjorie MK Hlava, & Marcia Lei Zeng | TITLE: A Domain Model for Describing and Accessing KOS Resources: Report of Processes in Developing a KOS Description Metadata Application Profile ABSTRACT: Due to the dynamic and complex characteristics of knowledge organization systems (KOS), the need for a multiple layered model to present the complex relationships between and among KOS resources is widely recognized. This paper outlines that rational model. Using FRBR (Functional Requirements for Bibliographic Records) conceptual model and user tasks as the foundation, the paper presents a domain model that is suitable for describing and accessing KOS resources, including the entities, relationships between entities, and the core properties of the entities in the context of user tasks. The results reflect user tasks and access-related properties that are complementary to the previous research by NKOS group members presenting description-related metadata elements commonly found in KOS registries. |
| Tsunagu Honma, Mitsuharu Nagamori & Shigeo Sugimoto | TITLE: A Model to Support Interpretation of Embedded Metadata without Formal Schema by Linking a Metadata Instance to DCMI Description Set Profiles ABSTRACT: There are a number of HTML documents which include metadata on the Web and a number of information services which provide metadata embedded using metadata standards across domains. Those metadata are, however, encoded in various different schemas and in different serialization formats, which makes it hard to automatically extract and interpret the metadata. The primary reason of the difficulty is the lack of interpretation rules of the metadata, e.g., lack of definition of metadata vocabularies, lack of definition of encoding syntax and so forth. This paper proposes a model to support interpretation of embedded metadata without formal schema by linking a metadata instance to DCMI Description Set Profiles (DSP). An XPath expression addresses a metadata instance encoded in HTML, and DSP define metadata schema. We propose extending DSP to include XPath for linking a metadata instance to a metadata schema. This paper also shows an experimental system which extracts metadata using extended DSP. |
| Lampang Manmart, Nisachol Chamnongsri, Vilas Wuwongse & Shigeo Sugimoto | TITLE: Metadata Development for Palm Leaf Manuscripts in Thailand ABSTRACT: The main objective of this research is, to develop metadata scheme for the management of digitized PLMs to increase efficiency in the search, access, management and use. The research framework was based on Functional Requirements for Bibliographic Records (FRBR) model developed by International Federation of Library Associations and Institutions (IFLA), while the metadata development process was developed on the concept of Metadata Life Cycle Model (MLM). Thus, there were three main parts in this study: (1) analysis of the user needs and expectations with respect to the manuscripts, of the requirements for managing collections of palm leaf manuscripts, and of physical structure and content of palm leaf manuscripts;(2) development of a metadata schema based on the results of these analyses; and (3) implementation and evaluation of the final metadata schema. The prototype of PLM management system was developed to implement the PLMM to test and evaluate the usefulness of PLMM for access to PLM original copies and their content and for managing PLM digital collection. The finding suggests that the perception of the PLMM usefulness is relatively significant with users’ experience with the PLM. Finally, the PLM metadata schema (PLMM) developed for palm leaf manuscripts consisted of 76 properties (34 core elements and 42 element refinements) to describe all versions and formats of the PLM. It can support both user tasks in searching for the PLMs and the collection management tasks. PLMM can dominantly express and describe the special characteristics and content of Thai Palm Leaf Manuscripts. |
| Joachim Neubert | TITLE: Linked Data Based Library Web Services For Economics ABSTRACT: A large number of library metadata resources have become available as Linked Open Data (LOD) in the last two years. We see, however, not much re-use of this data in library applications. The paper discusses hurdles for a broader adoption of such resources. It suggests building lightweight REST-oriented web service interfaces which fit well in the Web 2.0/Mash-up mindset of the majority of application programmers. Exemplifying this approach in the field of economics, we built and published Web Services for Economics (http://zbw.eu/beta/econ-ws) based on a thesaurus, a classification, a personal and a corporate names authority file, all on economics, and interdisciplinary mappings to other terminological resources. Furthermore, we demonstrate how these services are integrated in real-life library applications and how authoring and publishing platforms can be enhanced to make use of them. |
| Jian Qin, Alex Ball & Jane Greenberg | TITLE: Functional and Architectural Requirements for Metadata: Supporting Discovery and Management of Scientific Data ABSTRACT: The tremendous growth in digital data has led to an increase in metadata initiatives specific to different types of scientific data, as evident by Ball's survey (2010). Although various communities have specific needs, there are shared goals that need to be recognized if systems are to effectively support data sharing within and across all domain. This paper considers this need, and defines systems requirements that are essential for metadata supporting the discovery and management of scientific data. The paper begins with an introduction, following by a review of selected research specific to metadata modeling in the sciences. Next, the paper’s goals are stated, following by the presentation of systems requirements are stated. The results include a base-model with three chief principles: principle of least effort, infrastructure service, and portability. The principles are intended to support "data user" tasks. Results also include a set of defined user tasks and functions, and applications scenarios. |
| Anne Gilliland & Sue McKemmish | TITLE: Recordkeeping Metadata, the Archival Multiverse, and Societal Grand Challenges ABSTRACT: This paper provides an overview of key efforts in recent years by the archival and recordkeeping community, including by these authors, to identify, apply, exploit and manage recordkeeping metadata to address diverse social, cultural and technological concerns and imperatives in the archival multiverse. It reports on a new research project that will build an exemplar metadata-driven Sustainable Living Archive for Indigenous communities in Australia, and concludes by outlining an ongoing initiative established in 2011 by the Archival Education and Research Institutes (AERI) to identify ways in which archival and recordkeeping systems and metadata can contribute to nationally and internationally-identified "societal grand challenges" such as climate change, peace and security, corporate governance, development and democratisation, digital divide, human rights, the Information Society and technological change, social justice and inclusion, sustainable communities. |
| Joseph T. Tennis & Corinne Rogers | TITLE: Authenticity Metadata and the IPAM: Progress toward the InterPARES Application Profile ABSTRACT: The presumption of authenticity of records is predicated on capturing information about the records' identity and integrity over the course of the lifecycle. Extant metadata schemas do not capture the totality of this metadata required by International Research on Permanent Authentic Records in Electronic Systems (InterPARES). This paper presents research to date that addresses this need—the functional requirements, domain model, and sample properties from the IPAM (InterPARES Authenticity Metadata) schema. |
| Norbaitiah Ambiah & Dickson Lukose | TITLE: Enriching Webpages with Semantic Information ABSTRACT: This paper proposes a tool to automatically enrich webpages with semantic information by annotating keywords in the document with microdata markup. There are two case studies described and implemented in this paper. The first case study focuses on generating new webpages with microdata model and the second case study focuses on enriching existing webpages with microdata model. This paper also demonstrates the practicality of schema.org vocabulary as a base model to construct a referenced ontology and shows how the reference ontology can be used as a resource for automatically extracting important words and phrases in the webpages. Finally, a comparative study is conducted and the results show that the proposed approach is more reliable in terms of performance and flexibility compared to other existing automatic microdata annotations tools. |
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