Evaluation of contextual information retrieval effectiveness: overview of issues and research

Tamine-Lechani, Lynda; Boughanem, Mohand; Daoud, Mariam

doi:10.1007/s10115-009-0231-1

Cited by 126 publications

(38 citation statements)

References 89 publications

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“…The Pellet reasoner was configured both in normal and incremental reasoning mode. Furthermore, we investigated the different subscription filter generation algorithms and characterized the impact of the model 5 Apache Jena -http://jena.apache.org summarization step. This led to seven different configurations of the context dissemination process, which are summarized in Table 1.…”

Section: Methodsmentioning

confidence: 99%

“…Disseminating context in a scalable and effective way is key in designing a well performant information system. A survey of the current challenges in designing context retrieval systems is presented by Tamine-Lechani et al [5]. As the benefits of an effective context dissemination are broad and generic, it has been applied to many problem domains in information systems.…”

Section: Context Retrieval and Disseminationmentioning

confidence: 99%

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Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation

Latré

Famaey

Strassner

et al. 2013

Journal of Network and Computer Applications

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The current manual management of services and applications in today's telecommunication networks is becoming increasingly complicated. In the Future Internet, management is assumed to be automated by introducing an autonomic layer of distributed management elements. These distributed management elements need to collaborate with each other to ensure end-to-end quality guarantees. In this article, we focus on the context dissemination between such collaborative management elements. Context dissemination is the exchange of all relevant management data and knowledge between the elements. Collaborating elements typically generate large amounts of context and it is important to filter this continuous stream. We propose a context dissemination approach that automates the context exchange between elements. The approach enables the automated generation of semantic subscription filters. Subscription filters allow an element to define where, how, and when context needs to be requested from other entities. Moreover, the proposed approach allows making the subscription filter generation dependent on the context. We present algorithms that intelligently filter the knowledge that is stored in the ontology. The results show that the generation of subscription filters can be done in the order of tens of milliseconds.

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Section: Methodsmentioning

confidence: 99%

Section: Context Retrieval and Disseminationmentioning

confidence: 99%

Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation

Latré

Famaey

Strassner

et al. 2013

Journal of Network and Computer Applications

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“…For the sensor at rank , we use ( ) to denote the ranking error, which means the number of nonmatch sensors that rank higher than match ones at rank . (14) if ( is null ‖ is future search) (15) Performs P-MSE search: (16) return all sensors in the list GOL (17) else (18) Executes R-MSE search: (19) Verifies sensors in GOL : (20) for GOL ∈ GOL , = 1, . .…”

Section: R-mse Simulation Evaluationmentioning

confidence: 99%

Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things

Zhang

Liu

et al. 2015

International Journal of Distributed Sensor Networks

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More recently, an increasing number of object-attached sensors are publishing their real-time state on the Internet by using stateof-the-art Web technologies, which make the sensor search service extremely important for the Web of Things (WoT). However, the existing issues that the sensor search service is facing bring huge challenges to the design of matching state estimation scheme. In this paper, an architecture of high-efficiency content-based sensor search system is depicted to provide a prototype system for sensor search. And then a matching state estimation scheme is proposed in detail, including a sensor state prediction approach to accurately estimate future sensor readings and a match estimating and verifying approach to effectively classify and verify candidate sensors, in order to enhance the performance of our search system. Simulation results show that our matching state estimation scheme dramatically reduces the communication overhead of search system and achieves excellent performance in terms of recall ratio and precision ratio.

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“…Local context concepts are selected based on cooccurrence with query terms, concepts are chosen from the top ranked documents (Tamine- Lechani et al, 2010) and the best passages are used instead of whole documents. Local context analysis involves only by the top ranked documents that have been retrieved by the query, i.e., the top ranked documents for a query were proposed as a source of information, so the most frequent 20 terms and 10 phrases (none stop words) from the top ranked are added to the query.…”

Section: Local Query Expansionmentioning

confidence: 99%

Evaluation of Different Query Expansion Techniques for Arabic Text Retrieval System

Alhroob¹,

Khafajeh²,

Innab³

2013

American Journal of Applied Sciences

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The word mismatch problem is fundamental to Information retrieval. Query expansion process helps to overcome this problem. Based on the Arabic corpuses, the comparisons between two query expansion techniques (global and local query) have been conducted to determine the query effectiveness. First one represents the local context analysis which represents a local method, while a global method was the second technique that has been represented by the Association and similarity thesauruses. These techniques can be used in any special field or domain to improve the expansion process and to get more relevant documents for the user's query. This study introduces a comparison between these approaches and shows their effectiveness. Although, local context analysis has some advantages over the similarity thesaurus, Association thesaurus which is global is generally the most effective one.

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Evaluation of contextual information retrieval effectiveness: overview of issues and research

Cited by 126 publications

References 89 publications

Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation

Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation

Matching State Estimation Scheme for Content-Based Sensor Search in the Web of Things

Evaluation of Different Query Expansion Techniques for Arabic Text Retrieval System

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