As the WWW grows at an increasing rate, eeorts to make the technology more manageable are highly in demand. Applying advanced information retrieval techniques is one approach to such eeorts. Despite the potential beneet of these techniques in reducing users information overload and improving the eeectiveness access to on-line information, little research has been done on applying them to WWW en...

In this paper, we present our English-Chinese Cross-Language Information Retrieval (CLIR) system. We focus our attention on finding effective translation equivalents between English and Chinese, and improving the performance of Chinese IR. On English-Chinese CLIR, we adopt query translation as the dominant strategy, and utilize English-Chinese bilingual dictionary as the important knowledge res...

In this paper, we describe and analyze our participation in the WikipediaMM task at CLEF 2009. Our main efforts concern the expansion of the image metadata from the Wikipedia abstracts collection DBpedia. In our experiments, we use the Okapi feedback algorithm for document expansion. Compared with our text retrieval baseline, our best document expansion RUN improves MAP by 17.89%. As one of our...

This article develops a comprehensive model for optimal data retrieval using multi-mode wireless sensors in a network setting. The proposed maximum data retrieval (MDR) problem jointly optimizes routing and scheduling decisions over time subject to spatial reuse and sensor resource (energy and storage) constraints. Optimal solutions to sample cases of the NP-Hard MDR problem leads to closed for...

In this report, we examine what information retrieval techniques can help identify documents that contain answers to different types of question. In particular, we exploit different external resource according to the type of question. In particular, Wikipedia will be exploited for identifying personal names and their translation, as well as biography-related keywords. Google search engine is us...

Sharing common understanding of the structure of information among people, enable reuse of domain ontology and make domain assumption explicit are the reasons why we develop the multimodality image retrieval system. Sport News Ontology is the explicit formal specification of terms in the sport news domain and relation among them. We incorporate the terms with the “garden resource” in DBpedia to...

The Web content increasingly consists of structured domain specific data published in the Linked Open Data (LOD) cloud. Data collections in this cloud are by definition from different domains and indexed with domain specific ontologies and schemas. Such data requires retrieval methods that are effective for domain specific collections annotated with semantic structure. Unlike previous research,...

Knowledge has become an important resource in many organisations. The success of an organisation depends on its ability to transform personal knowledge of employees into organisational knowledge. This knowledge can then be made widely available to the entire organisation and be reused when needed. One necessary prerequisite for reusing knowledge, coded and stored in documents, are appropriate c...

Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For tasks other than ad-hoc retrieval, estimates of the actual probability of relevance are required. In this paper, we investigate mapping functions between these two types of probability. For this purpose, we consider l...

In many archives of audiovisual documents, retrieval is done using metadata from a structured vocabulary or thesaurus. In practice, many of these thesauri have limited or no structure. The objective of this paper is to find out whether retrieval of audiovisual resources from a collection indexed with an in-house thesaurus can be improved by anchoring the thesaurus to an external, semantically r...