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Posts from the ‘2009 Meeting’ Category

IR Sustainability Through Stakeholder Governance

The Li Ka Shing Library adopted a strategic and collaborative approach in implementing its institutional repository. Engaging the institution’s policy stakeholders including the University’s Provost early in the day, a strategic planning and governance committee was established to guide the vision and objectives for the institutional repository.

Pacific Open Space Forum: The Promise of Digital Libraries and Knowledge Creation

Imagine coming to a forum where your most pressing agenda is discussed in an environment of people and information flow. Yes, people flow! Employing a knowledge sharing technique called Open Space Technology or OST, the forum will engage you within a setting where you create and manage your own agenda.

Crowdsourcing and Social Engagement: Potential, Power and Freedom for Libraries and Users

The definition and purpose of crowdsourcing and social engagement with users will be discussed with particular reference to the Australian Newspapers service, FamilySearch, Wikipedia and the Distributed Proofreaders. These services have harnessed thousands of digital volunteers who transcribe, create, enhance and correct text. The successful strategies which motivated users to help, engage, and develop the outcomes will be examined.

Preserving and Reconstructing Hong Kong’s Historical Past: Experiences and Lessons of the Hong Kong Memory Project

The Hong Kong Memory Project (HKMP) was initiated by the Hong Kong Special Administrative Region (HKSAR) Government in 2002. The goal is to establish a web-based digital repository for the collection, preservation, presentation and dissemination of Hong Kong’s unique historical and cultural heritage.

Wikipedia and Semantic Document Representation

This talk will introduce the process of “wikification”; that is, automatically and judiciously augmenting a plain-text document with pertinent hyperlinks to Wikipedia articles — as though the document were itself a Wikipedia article. We first describe how Wikipedia can be used to determine semantic relatedness, and then introduce a new, high-performance method of wikification that exploits Wikipedia’s 60 M internal hyperlinks for relational information and their anchor texts as lexical information, using simple machine learning.