We present a methodology for managing information resources by permitting aggregations of mixed-media documents to be interactively defined, shared, and managed using relational database management technology in concert with an extended object-oriented data model. This hybrid approach, based on our polymorphic object model (POM), allows the definition and instantiation of new types of compound ...

Abstract This paper presents an analysis of the Overton policy document database, describing makeup materials indexed and nature in which they cite academic literature. We report on various aspects data, including growth, geographic spread, language representation, range source types included, availability citation links documents. Longitudinal over established journal category schemes is used ...

Understanding the structure and functionality of the domain of interest and representing them in an intuitive, conceptual form is crucial in any effort to manage information about the domain. We adopt the view that documents contain information about the domain of application in a structural form. However, the structure in documents is often loose and modelling and management tools are seldom u...

Background/Objectives: Relational databases are a commonly utilized technology that allows for the storage, administration, and retrieval of various data schemas. However, certain big databases, executing queries can become time-consuming inefficient procedure. Furthermore, storing enormous volumes necessitates servers with greater capacity scalability. have limits when it comes to dealing scal...

In this work, we’ve developed a tool capable of crawling the Twitter social graph. In order to collect the social graph, we developed a Twitter application leveraging 30 user accounts and the Twitter REST API v1.1. To date, Flock has collected the profiles of over 48 million Twitter users connected by over 158 million links. Flock continues to actively crawl over 57 million valid Twitter user I...

─ Retrieval of relevant documents from a large document collection is a challenging task. Document Retrieval is concerned with indexing and retrieving documents provided in a document collection. Documents are represented by document descriptors which are defined as terms or keywords extracted from the textual documents. Formulating an optimal query with a set of document descriptors involves s...

Both for healthcare and crisis management, the usage of Information Systems (IS) has become routine. In fact, they are unthinkable without sophisticated IT support. Virtually all IS rely on data storage. Despite the document-oriented nature of medical datasets, relational databases (RDBMS) prevail. The authors evaluate a document-based database to assess its feasibility for the domain of health...