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The Linked Open Data (LOD) movement is constantly gaining worldwide acceptance. In this paper we describe how LOD is generated in the case of digital repositories that contain bibliographic information, adopting international standards. The available options and respective choices are presented and justified while we also provide a technical description, the methodology we followed, the possibilities and difficulties in the way, and the respective benefits and drawbacks. Detailed examples are provided regarding the implementation and query capabilities, and the paper concludes after a discussion over the results and the challenges associated with our approach, and our most important observations and future plans.

Information sharing among distributed obsolescence management systems is a challenge because of the heterogeneity of data (data with different forms and representations). Indeed, this is the main hurdle that exists for current tools managing product obsolescence. This paper presents a hybrid ontology approach for the integration of obsolescence information that combines a global ontology that provides a shared vocabulary for the specification of the semantics of obsolescence domain knowledge, along with local ontologies that describe structures of multiple data sources distributed in various obsolescence management tools. A procedure is provided for mapping local ontologies to the global ontology by quantifying relationships between classes and identifying groups of classes with a clustering method. Ontologies and rules of identifying relationships are realized with OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language). With the application of the hybrid ontology approach, a unified view of data is provided to support decision making for efficient obsolescence management and a structure where new sources of information can be easily added with little modification in the future.

It is widely accepted that future digital library applications have to be built upon different kinds of database servers to draw upon different forms of data, including bibliographic, text, multimedia, and structured data. In this paper, the problem of integrating existing public bibliographic databases and structured databases which reside at different locations in the network is addressed. Although bibliographic data is semistructured, its attribute set is often determined by an international standard known as MARC. To unify bibliographic and structured data, the well-known SQL was extended to model bibliographic related attributes and queries. In particular, a new data type was added to model attributes in the bibliographic database. Specialized functions have also been designed that can be used to formulate queries on bibliographic data, as well as queries on both bibliographic and structured data. By combining the SQL extensions with other query language extensions that access general text data, it is believed that a versatile query language layer can be made available for future digital library application development.

This paper describes a project exploring whether semantic relationships between bibliographic terms may effectively partition the clinical literature. To address this question, a set of semantic relationships was identified between pairs of bibliographic terms taken from four categories: (1) diseases, (2) treatments, (3) tests, and (4) patient characteristics. The MEDLINE system of the National Library of Medicine was used to generate lists of abstracts relating to pairs of clinical terms. Each lists of abstracts was examined to identify the semantic relationships, if any, which applied to the two terms in each paper. The study suggests that semantic relationships may play a potentially valuable role in assisting computer-based medical bibliographic retrieval. The degree to which relationships partition the literature is strongly dependent on the underlying semantics of the particular bibliographic terms involved.