New challenges for advanced web search interfaces and visualization tools arise as user needs shift from traditional lookup tasks towards more open ended search activities collectively described as exploratory search. Exploratory search opens new possibilities for employing social aspects for effective information retrieval. We facilitate exploratory search by providing users with an integrated search and navigation interface combining three search paradigms -full text search, view-based (faceted) search and content-based (queryby-example) search. Full text search is used for both domain data and metadata lookup, view-based search allows users to further refine/filter the respective result set, while content-based search orders or biases the results based on their similarity to a given set of sample results.
Abstract. Growing need for information retrieval, information processing, and the associated need for navigation in existing information spaces resulted in several approaches that aim to improve efficiency of the respective user tasks. However, problems related to user navigation and orientation in large open information spaces still persist possibly due to increasing demands and the imperfections of individual approaches. We propose an integrated search and navigation solution that takes advantage of the faceted browsing paradigm and visual navigation in graphs both extended with support for automatic personalization based on user context also taking advantage of a user's social network. The proposed solution is primarily evaluated in the domain of scientific publications, i.e. digital libraries, with possible extensions to other application domains.
Abstract. This paper presents the prototype of an adaptive faceted semantic browser -Factic. Factic implements our novel method of navigation in open information spaces represented by ontologies based on an enhanced faceted browser with support for dynamic facet generation and adaptation based on user characteristics. It is developed as part of a modular framework that supports personalization based on an automatically acquired ontological user model. We describe software tool design and implementation together with discussion on several problems mostly related to the general immaturity of current Semantic Web solutions.
Open information spaces have several unique characteristics such as their changeability, large size, complexity and diverse user base. These result in novel challenges during user navigation, information retrieval and data visualization in open information spaces. We propose a method of navigation in open information spaces based on an enhanced faceted browser with support for dynamic facet generation and adaptation based on user characteristics.
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