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This paper surveys information architecture in the context of digital libraries. Key concepts are defined as well as common attributes of information architectures in general. Communications standards - including hybrid TCP/IP-OSI, CORBA, and Web services - are explored, as well as the history of information architecture and related models. A number of digital library projects are analyzed with a focus on their distinct architectures. The key role of information architecture in the design and development of the twenty-first century digital library is detailed throughout.

At Fluidinfo, we're aiming to bring about a fundamental change in how people work with information. We're designing and building a distributed storage architecture for a new representation of information, and creating a variety of applications that will use the underlying architecture.

MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-annotated content from free-tagging. While tags are widely used in Web 2.0 services, their lack of machine-understandable meaning can be a problem for information retrieval, especially when people use tags that can have different meanings depending on the context. MOAT aims to solve this by providing a way for users to define meaning(s) of their tag(s) using URIs of Semantic Web resources (such as URIs from dbpedia, geonames … or any knowledge base), and then annotate content with those URIs rather than free-text tags, leveraging content into Semantic Web, by linking data together. Moreover, tag meanings can be shared between people, providing an architecture of participation to define and exchange potential meanings of tags within a community of users. To achieve this goal, MOAT relies on an architecture that can be deployed for any organisation or community and that involves a lightweight ontology, a MOAT server, and some third-party clients .

GATE is... * the Eclipse of Natural Language Engineering, the Lucene of Information Extraction, a leading toolkit for Text Mining * used worldwide by thousands of scientists, companies, teachers and students * comprised of an architecture, a free open source framework (or SDK) and graphical development environment * used for all sorts of language processing tasks, including Information Extraction in many languages * funded by the EPSRC, BBSRC, AHRC, the EU and commercial users * 100% Java reference implementation of ISO TC37/SC4 and used with XCES in the ANC * 10 years old in 2005, used in many research projects and compatible with IBM's UIMA * based on MVC, mobile code, continuous integration, and test-driven development, with code hosted on SourceForge

Our goal in creating this site is to provide the basis for a thriving community of UIMA developers who can announce, discuss, design, share, and critique UIMA-compliant components, resources and solutions. The Unstructured Information Management Architecture (UIMA) is a software framework that supports rapid development and deployment of multimodal analytics - applications which provide value by processing human-readable text, audio and/or video in order to extract information, answer questions, summarize documents, etc.

"This paper proposes the creation of an Augmented Social Network (ASN) that would build identity and trust into the architecture of the Internet, in the public interest, in order to facilitate introductions between people who share affinities or complimentary capabilities across social networks. The ASN has three main objectives: 1) To create an Internet-wide system that enables more efficient and effective knowledge sharing between people across institutional, geographic, and social boundaries. 2) To establish a form of persistent online identity that supports the public commons and the values of civil society. 3) To enhance the ability of citizens to form relationships and self-organize around shared interests in communities of practice in order to better engage in the process of democratic governance. In effect, the ASN proposes a form of "online citizenship" for the Information Age."

Way ahead of its time, and I believe Facebook's (and LinkedIn's, and Plaxo's, and...) successes largely substantiate the emphasis the authors place on the significance of rich support for social trust and identity mechanisms.

In ECOSPACE, the Semantically Interlinked Online Community (SIOC) is used to facilitate CWE interoperability [1, 2]. SIOC provides an ontology for representing rich data from the Social Web in RDF. The SIOC ontology was recently published as a W3C Member Submission, which was submitted by 16 organisations [3]. The SIOC Core ontology defines the main concepts and properties required to describe information from online communities on the Semantic Web. The main terms in the SIOC Core ontology are shown in Figure 1. The basic concepts in SIOC have been chosen to be as generic as possible, thereby enabling many different kinds of user-generated content to be described. Once proprietary CWE data is annotated with the SIOC ontology, it becomes interpretable by other CWEs. Based on this, a CWE Interoperability Architecture has been designed.

SMILA is an extensible framework for building search solutions to access unstructured information in the enterprise. Besides providing essential infrastructure components and services, SMILA also delivers ready-to-use add-on components, like connectors to most relevant data sources. Using the framework as their basis will enable developers to concentrate on the creation of higher value solutions, like semantic driven applications etc.

The Flamenco search interface framework has the primary design goal of allowing users to move through large information spaces in a flexible manner without feeling lost. A key property of the interface is the explicit exposure of category metadata, to guide the user toward possible choices, and to organize the results of keyword searches. The interface uses hierarchical faceted metadata in a manner that allows users to both refine and expand the current query, while maintaining a consistent representation of the collection's structure. This use of metadata is integrated with free-text search, allowing the user to follow links, then add search terms, then follow more links, without interrupting the interaction flow.

The present research analyses the 'social visualization' tool Sense.us, a commercial interactive Web application in which U.S. Census data are visualized. Sense.us was developed as a tool for social data exploration and interaction, in which it would be worthwhile to pay attention to the socio-cultural values that have driven the collection and categorization of the underlying U.S. Census datasets. It is argued that closer attention to value driven U.S. Census statistics would greatly enhance the social appeal of Sense.us, and would be a logical next step in the development of online social visualization tools. In order to allow for explicit socio-cultural values of statistics in online visualizations, three strategies are offered: pro-active annotation; more attention to visual aesthetics; and, a tighter integration of user profiles and represented data.