The parallel rise of the Semantic and Social Web provides unprecedented possibilities for the development of novel search system architectures. However, many traditional search systems have so far followed a simple on...
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The parallel rise of the Semantic and Social Web provides unprecedented possibilities for the development of novel search system architectures. However, many traditional search systems have so far followed a simple one-size-fits-all paradigm by ignoring the different user information needs, preferences and intentions. In the last number of years, we have begun to see initial evidence that personalisation may be applied within web search engines, however little detail has been published other than adaptation based on user histories. Moreover, current implementations often fail to combine the mutual benefits of both structured and unstructured information resources. This paper presents techniques and architectures for leveraging socio-semantic content and adaptively retrieving and composing such content in order to provide personalised result presentations. The system is presented in a customer care scenario, which provides an application area for personalisation in terms of available heterogeneous resources as well as user preferences, context and characteristics. The presented architectures combine techniques from the fields of Information Retrieval, Semantic Search as well as Adaptive Hypermedia in order to enable efficient adaptive retrieval as well as personalised compositions.
This literature review focuses on the educational benefits afforded to learners by Technology Enhanced Learning Environments (TELE) which adapt and personalize the learning experience. More specifically it focuses on ...
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ISBN:
(纸本)9781450303439
This literature review focuses on the educational benefits afforded to learners by Technology Enhanced Learning Environments (TELE) which adapt and personalize the learning experience. More specifically it focuses on Adaptive Educational Hypermedia Systems (AEHS) that incorporate Learning Styles. Adaptive approaches to learning offer alternatives to the traditional "Onesize- fits-all" approach and have driven the development of dynamic educational environments. The use of such environments can deliver educational benefits as educational offerings are personalised based upon various characteristics of individual learners. Copyright 2010 ACM.
Sometimes it is not possible for a user to state a retrieval goal explicitly a priori. One common way to support such exploratory retrieval scenarios is to give an overview using a neighborhood-preserving projection o...
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Enterprises provide professionally authored content about their products/services in different languages for use in web sites and customer care. For customer care, personalization/personalized information delivery is ...
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Ontology-based information integration systems have been proposed to solve the problem of combining data residing at autonomous and heterogeneous sources. For such ontology based solutions to succeed in an industrial ...
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Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the factors that influence the evolution of se...
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Ontology-based knowledge management systems enable the automatic discovery, sharing and reuse of structured data sources on the semantic web. With the emergence of multilingual ontologies, accessing knowledge across n...
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Ontology-based knowledge management systems enable the automatic discovery, sharing and reuse of structured data sources on the semantic web. With the emergence of multilingual ontologies, accessing knowledge across natural language barriers has become a pressing issue for the multilingual semantic web. In this paper, a semantic-oriented cross-lingual ontology mapping (SOCOM) framework is proposed to enhance interoperability of ontology-based systems that involve multilingual knowledge repositories. The contribution of cross-lingual ontology mapping is demonstrated in two use case scenarios. In addition, the notion of appropriate ontology label translation, as employed by the SOCOM framework, is examined in a cross-lingual ontology mapping experiment involving ontologies with a similar domain of interest but labelled in English and Chinese respectively. Preliminary evaluation results indicate the promise of the crosslingual mapping approach used in the SOCOM framework, and suggest that the integrated appropriate ontology label translation mechanism is effective in the facilitation of monolingual matching techniques in cross-lingual ontology mapping scenarios. Copyright is held by the author/owner(s).
Federated policy systems are required to support the complexity and organizational heterogeneity of the modern marketplace. The Community-based Policy Management System (CBPMS) is such a distributed policy management ...
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For large-scale data mining utilizing data from ubiquitous and mixed-structured data sources, the appropriate extraction and integration into a comprehensive data-warehouse is of prime importance. Then, appropriate me...
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For large-scale data mining utilizing data from ubiquitous and mixed-structured data sources, the appropriate extraction and integration into a comprehensive data-warehouse is of prime importance. Then, appropriate methods for validation and potential refinement are essential. This paper presents an approach applying data mining and information extraction methods for data validation: We apply subgroup discovery and (rule-based) information extraction for data integration and validation. The methods are integrated into an incremental process for continuous validation options. The results of a medical application demonstrate that subgroup discovery and the applied information extraction methods are well suited for mining, extracting and validating clinically relevant knowledge.
This paper describes the collaborative participation of Dublin City University and Trinity College Dublin in LogCLEF 2010. Two sets of experiments were conducted. First, different aspects of the TEL query logs were an...
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This paper describes the collaborative participation of Dublin City University and Trinity College Dublin in LogCLEF 2010. Two sets of experiments were conducted. First, different aspects of the TEL query logs were analysed after extracting user sessions of consecutive queries on a topic. The relation between the queries and their length (number of terms) and position (first query or further reformulations) was examined in a session with respect to query performance estimators such as query scope, IDF-based measures, simplified query clarity score, and average inverse document collection frequency. Results of this analysis suggest that only some estimator values show a correlation with query length or position in the TEL logs (e.g. similarity score between collection and query). Second, the relation between three attributes was investigated: the user's country (detected from IP address), the query language, and the interface language. The investigation aimed to explore the influence of the three attributes on the user's collection selection. Moreover, the investigation involved assigning different weights to the three attributes in a scoring function that was used to re-rank the collections displayed to the user according to the language and country. The results of the collection re-ranking show a significant improvement in Mean Average Precision (MAP) over the original collection ranking of TEL. The results also indicate that the query language and interface language have more inuence than the user's country on the collections selected by the users.
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