A distributed alerting service for open digital library software

Alerting for Digital Libraries (DL) is an important and useful feature for the library users. To date, two independent services and a few publisher-hosted proprietary services have been developed. Here, we address the problem of integrating alerting as functionality into open source software for distributed digital libraries. DL software is one application out of many that constitute so-called meta-software: software where its installation determines the properties of the actual running system (here: the Digital Library system). For this type of application, existing alerting solutions are insufficient; new ways have to be found for supporting a fragmented network of distributed digital library servers. We propose the design and usage of a distributed Directory Service. This paper also introduces our hybrid approach using two networks and a combination of different distributed routing strategies for event filtering

Leveraging Indexical Pragmatics (OFIP) for Search Engine: An Ontology- based Approach

The relevance of search results is an important indicator of information retrieval performance. A domain-specific Search Engine (SE), distinct from a general web SE, focuses on a specific segment of online content and may increase search results relevance. Traditional methods to improve domain-specific SE precision heavily depend on query expansion, lexical analysis of texts, and large amounts of training data. These methods suffer from limited effectiveness and efficiency because expanded query terms and coarse language features bring in uncontrollable complexity and increase dimensionality. Our design, leveraging the integrated power of computational syntax, semantics, and indexical pragmatics, proposes an ontology-driven framework that is tailored to work in a dynamic Internet environment without large amounts of manually annotated training data. This article presents our design, that is essential for building a domain-specific SE, and its instantiation in the terrorism domain

Supporting Knowledge Management and Organisational Learning in Multinational Coorporations

Management of Organisational Learning and Knowledge is a complex and difficult task. Doing so within the context of a multinational corporation presents even more difficulties. Like many large organisations, most multinational organisations are highly distributed. This presents problems in terms of the inability to get groups of people together for group activities concerning knowledge management and organisational learning. The highly distributed organisation also presents difficulties in disseminating knowledge from one part of an organisation to other parts. Multinational organisations also commonly contain a variety of different cultures. The cultural differences can occur at a number of different levels, between individuals, between the individual and the organisational unit, between different organisational units, and between countries. In this paper, we propose a number of ways of addressing these difficulties for facilitating knowledge management and organisational learning in the multinational organisation, including the use of adaptable systems thinking approaches, group support systems, and digital library technologies. In particular, we propose using these technologies in combination as a way of addressing the twin difficulties of the highly distributed and culturally differentiated organisations that multinational organisations often are

Text Augmentation: Inserting markup into natural language text with PPM Models

This thesis describes a new optimisation and new heuristics for automatically marking up XML documents. These are implemented in CEM, using PPMmodels. CEM is significantly more general than previous systems, marking up large numbers of hierarchical tags, using n-gram models for large n and a variety of escape methods. Four corpora are discussed, including the bibliography corpus of 14682 bibliographies laid out in seven standard styles using the BIBTEX system and markedup in XML with every field from the original BIBTEX. Other corpora include the ROCLING Chinese text segmentation corpus, the Computists’ Communique corpus and the Reuters’ corpus. A detailed examination is presented of the methods of evaluating mark up algorithms, including computation complexity measures and correctness measures from the fields of information retrieval, string processing, machine learning and information theory. A new taxonomy of markup complexities is established and the properties of each taxon are examined in relation to the complexity of marked-up documents. The performance of the new heuristics and optimisation is examined using the four corpora

A public library based on full-text retrieval

The New Zealand digital library aims to impose structure on anarchic and uncataloged repositories of information providing information consumers with effective tools to locate and peruse what they need. Our goal is to produce an easy-to-use digital library system that runs on inexpensive computers at the information providers' own sites and offers a service that providers maintain. New Zealand's geographical isolation amplifies the benefits of networked digital libraries, in terms of both cost and timeliness of access to information. We are collaborating with the MeDoc project (see Endres and Fuhr, this issue) in Germany to provide local indexes to German language technical reports, and with the U.S.-based Journal of Biological Chemistry to field-test novel browsing techniques