Beyond the Web: Retrieval in Social Information Spaces

2006 ◽  
pp. 84-95 ◽  
Author(s):  
Sebastian Marius Kirsch ◽  
Melanie Gnasa ◽  
Armin B. Cremers
Keyword(s):  
Social Information ◽  
Information Spaces ◽  
Web Retrieval ◽  
The Web

Web Retrieval of XML Documents

2011 ◽  
pp. 170-199
Author(s):  
Barbara Catania ◽  
Elena Ferrari
Keyword(s):  
Expressive Power ◽  
Data Representation ◽  
Query Languages ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Xml Data ◽  
Web Documents ◽  
Web Retrieval ◽  
Heterogeneous Data Sources ◽  
The Web

Web is characterized by a huge amount of very heterogeneous data sources, that differ both in media support and format representation. In this scenario, there is the need of an integrating approach for querying heterogeneous Web documents. To this purpose, XML can play an important role since it is becoming a standard for data representation and exchange over the Web. Due to its flexibility, XML is currently being used as an interface language over the Web, by which (part of) document sources are represented and exported. Under this assumption, the problem of querying heterogeneous sources can be reduced to the problem of querying XML data sources. In this chapter, we first survey the most relevant query languages for XML data proposed both by the scientific community and by standardization committees, e.g., W3C, mainly focusing on their expressive power. Then, we investigate how typical Information Retrieval concepts, such as ranking, similarity-based search, and profile-based search, can be applied to XML query languages. Commercial products based on the considered approaches are then briefly surveyed. Finally, we conclude the chapter by providing an overview of the most promising research trends in the fields.

Motivational factors of information exchange in social information spaces

2014 ◽  
Vol 36 ◽  
pp. 549-558 ◽  
Author(s):  
Christina Matschke ◽  
Johannes Moskaliuk ◽  
Franziska Bokhorst ◽  
Till Schümmer ◽  
Ulrike Cress
Keyword(s):  
Information Exchange ◽  
Social Information ◽  
Motivational Factors ◽  
Information Spaces

Improving Personal and Social Information Management with Advanced Tagging

2013 ◽  
Author(s):  
Vanesa Mirzaee ◽  
Maryam Najafian Razavi ◽  
Lee Iverson
Keyword(s):  
Web 2.0 ◽  
Information Management ◽  
Personal Information ◽  
Social Information ◽  
Personal Information Management ◽  
Information Spaces ◽  
Management Application

This paper describes an innovative tagging model incorporated into a web 2.0 social and personal information management application. Our work utilizes web 2.0 tagging concepts in a new way in an effort to provide better support for users’ needs for contextualization and personalization of their information spaces for both personal…Cet article décrit un modèle innovateur d’étiquetage intégré à une application de gestion de l’information personnelle et sociale du Web 2.0. Notre travail utilise les concepts de l’étiquetage du Web 2.0 d’une manière nouvelle, afin de mieux subvenir aux besoins des utilisateurs pour la contextualisation et la personnalisation de leurs espaces informationnels, pour des fins personnelles… 

Understanding Usability Issues in a Public Digital Library

2011 ◽  
pp. 1577-1581
Author(s):  
Y. Theng ◽  
A. Khoo ◽  
M. Chan
Keyword(s):  
Digital Libraries ◽  
Interactive Systems ◽  
Information Spaces ◽  
Face To Face ◽  
Digital World ◽  
Perceived Benefit ◽  
Operational Systems ◽  
Linear Information ◽  
The Right ◽  
The Web

Designers often design for themselves unless they are trained to realise that people are diverse, and that users are unlikely to be like them. The more errors that can be avoided “up front” by the right method, the less work both test-users and designers will have to put in to refine prototypes to improve their usability. Landauer (1995) points out that it is not good enough to design interactive systems without subjecting it to some form of evaluation, because it is impossible to design an optimal user interface in the first attempt. Dix Finlay, Abowd, and Beale (1998) argue that even if one has used the best methodology and model in the design of usable interactive systems, one still needs to assess the design and test the system to ensure that it behaves as expected and meets users’ requirements. Nielsen’s (1993) advice with respect to interface evaluation is that designers should simply conduct some form of testing. As digital libraries (DLs)—interactive systems with organised collections of information—become more complex, the number of facilities provided by them will increase and the difficulty of learning to use these facilities will also increase correspondingly. Like the Web, DLs also provide non-linear information spaces in which chunks of information are inter-connected via links. However, they are different in character from the Web in several important respects: a DL represents a collection for a specific purpose containing text-based and/or geospatial content and has search strategies that are clearly defined and more powerful. After a decade of DL research and development, DLs are moving from research to practice, from prototypes to operational systems (Borgman, 2002). In the digital world, real world cues such as face-to-face interactions with human librarians and thumbing through hardcopy books have been replaced by drop-down menus, search screens, and Web page browsing. In DLs, users must map their goals onto DLs’ capability without the assistance of a human librarian. As a result, wide acceptance of DLs will only be achieved if they are easy to learn and use relative to the perceived benefit (Borgman, 2000).

Revolutionizing Information Architectures within Learning-Focused Web Sites

2011 ◽  
pp. 215-227
Author(s):  
Ramesh Srinivasan
Keyword(s):  
Web Sites ◽  
Information Filtering ◽  
Social Information ◽  
Information Design ◽  
Science Center ◽  
Science Centers ◽  
Web Environment ◽  
New Information ◽  
Learning Focused ◽  
The Web

This chapter points to the potential new information architectures hold in the design of virtual science centers. Science centers are treated as education-focused institutions and the argument is made that that extending the power of the science center as an educational platform warrants an answer to the question of how to share knowledge across the community of visitors without physical co-assembly. Two approaches toward information design are discussed: community-driven ontologies and social information filtering agents. These approaches are introduced within the context of two pieces of previous research and hold great potential when applied to the Web environment of the science center.

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