This paper proposes a novel method to represent user models in a multilingual manner which caters for multilingual Web search users. Furthermore, an evaluation is presented which examines a result re-ranking algorithm...
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This paper proposes a novel method to represent user models in a multilingual manner which caters for multilingual Web search users. Furthermore, an evaluation is presented which examines a result re-ranking algorithm that is based upon that model.
A key advantage of Adaptive Hypermedia Systems (AHS) is their ability to re-sequence and reintegrate content to satisfy particular user needs. However, this can require large volumes of content, with appropriate granu...
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ISBN:
(纸本)9781450313353
A key advantage of Adaptive Hypermedia Systems (AHS) is their ability to re-sequence and reintegrate content to satisfy particular user needs. However, this can require large volumes of content, with appropriate granularities and suitable meta-data descriptions. This represents a major impediment to the mainstream adoption of Adaptive Hypermedia. Open Adaptive Hypermedia systems have addressed this challenge by leveraging open corpus content available on the World Wide Web. However, the full reuse potential of such content is yet to be leveraged. Open corpus content is today still mainly available as only one-size-fits-all document-level information objects. Automatically customizing and right-fitting open corpus content with the aim of improving its amenability to reuse would enable AHS to more effectively utilise these resources. This paper presents a novel architecture and service called Slicepedia, which processes open corpus resources for reuse within AHS. The aim of this service is to improve the reuse of open corpus content by right-fitting it to the specific content requirements of individual systems. Complementary techniques from Information Retrieval, Content Fragmentation, Information Extraction and Semantic Web are leveraged to convert the original resources into information objects called slices. The service has been applied in an authentic language elearning scenario to validate the quality of the slicing and reuse. A user trial, involving language learners, was also conducted. The evidence clearly shows that the reuse of open corpus content in AHS is improved by this approach, with minimal decrease in the quality of the original content harvested. Copyright 2012 ACM.
Quality measures are important to evaluate graph clustering algorithms by providing a means to assess the quality of a derived cluster structure. In this paper, we focus on overlapping graph structures, as many real-w...
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ISBN:
(纸本)9789898425980
Quality measures are important to evaluate graph clustering algorithms by providing a means to assess the quality of a derived cluster structure. In this paper, we focus on overlapping graph structures, as many real-world networks have a structure of highly overlapping cohesive groups. We propose three methods to adapt existing crisp quality measures such that they can handle graph overlaps correctly, but also ensure that their properties for the evaluation of crisp graph clusterings are preserved when assessing a crisp cluster structure. We demonstrate our methods on such measures as Density, Newman's modularity and Conductance. We also propose an enhancement of an existing modularity measure for networks with overlapping structure. The newly proposed measures are analysed using experiments on artificial graphs that possess overlapping structure. For this evaluation, we apply a graph generation model that creates clustered graphs with overlaps that are similar to real-world networks i.e. their node degree and cluster size distribution follow a power law.
As information technology interweaves with our daily environment, new modes of interaction will be required. In this paper, we suggest a gesture-based approach and present a prototypical case study for a gesture contr...
In recent years there has been a marked uptake in the digitisation of cultural heritage collections. Though this has enabled more sources to be made available to experts and the wider public, curators still struggle t...
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This paper focuses on the community analysis of conference participants using their face-to-face contacts, visited talks, and tracks in a social and ubiquitous conferencing scenario. We consider human face-to-face con...
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This paper presents an approach for explorative pattern mining in social media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags ...
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Exceptional model mining has been proposed as a variant of subgroup discovery especially focusing on complex target concepts. Currently, efficient mining algorithms are limited to heuristic (non exhaustive) methods. I...
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In order to support individual user perspectives and different retrieval tasks, music similarity can no longer be considered as a static element of Music Information Retrieval (MIR) systems. Various approaches have be...
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This paper presents an overview on the VIKAMINE system for subgroup discovery, pattern mining and analytics. As of VIKAMINE version 2, it is implemented as rich-client platform (RCP) application, based on the Eclipse ...
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