In the coming years we will see a revolution of machine knowledge and abilities which will emerge from different activities and trends in three distinct areas connected to the Internet: The emerging Web of data, the W...
In the coming years we will see a revolution of machine knowledge and abilities which will emerge from different activities and trends in three distinct areas connected to the Internet: The emerging Web of data, the Web of Services, and a new area, the Web of Identities. These areas, the webs, are about creating accessible and processable semantic knowledge about data, functions and individuals, respectively. They form a knowledge layer for a new era of applications. In this work, we will provide universal definitions for these webs, with a focus on the new introduced Web of Identities, and show how they are related. Furthermore, we outline current activities and trends, and point out the impact of the webs on the future of the Internet based on scenarios exploiting the blended knowledge of these activities.
Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing ...
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This book constitutes the thoroughly refereed joint post-proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments, MUSE 2012, held in Bristol, UK, in September 2012, and the Third I...
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ISBN:
(数字)9783642453922
ISBN:
(纸本)9783642453915
This book constitutes the thoroughly refereed joint post-proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments, MUSE 2012, held in Bristol, UK, in September 2012, and the Third International Workshop on Modeling Social Media, MSM 2012, held in Milwaukee, WI, USA, in June 2012. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. They cover a wide range of topics organized in three main themes: communities and group structure in ubiquitous social media; ubiquitous modeling and aspects of social interactions and influence.
data Integration refers to the problem of combining data residing at autonomous and heterogeneous sources, and providing users with a unified global view. Ontology-based integration solutions have been advocated but f...
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data Integration refers to the problem of combining data residing at autonomous and heterogeneous sources, and providing users with a unified global view. Ontology-based integration solutions have been advocated but for the case to be made for real deployment of such solutions, the integration effort and performance needs to be characterized. In this paper, we measure the performance of a generalised ontology based integration system using the THALIA integration benchmark. The ontology based integration solution is used to integrate data dynamically across a real telecommunications value chain. An extension of the THALIA benchmark, to take account of the integration effort required, is introduced. We identify the issues impacting the ontology based integration approach and propose further experiments.
This paper presents two real-world case studies focussing on descriptive data mining for decision-makers. For that, we first propose a process-oriented design of descriptive data mining that helps in describing and pe...
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This paper presents two real-world case studies focussing on descriptive data mining for decision-makers. For that, we first propose a process-oriented design of descriptive data mining that helps in describing and performing such projects. Finally, we discuss important lessons learned during the implementation of the respective projects.
The limited coverage of available Arabic language lexicons causes a serious challenge in Arabic cross language information retrieval. Translation in cross language information retrieval consists of assigning one of th...
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ISBN:
(纸本)9783000257704
The limited coverage of available Arabic language lexicons causes a serious challenge in Arabic cross language information retrieval. Translation in cross language information retrieval consists of assigning one of the semantic representation terms in the target language to the intended query. Despite the problem of the completeness of the dictionary, we also face the problem of which one of the translations proposed by the dictionary for each query term should be included in the query translations. In this paper, we describe the implementation and evaluation of an Arabic/English word translation disambiguation approach that is based on exploiting a large bilingual corpus and statistical co-occurrence to find the correct sense for the query translations terms. The correct word translations of the given query term are determined based on their cohesion with words in the training corpus and a special similarity score measure. The specific properties of the Arabic language that frequently hinder the correct match are taken into account.
Concept lattice drawings are an important tool to visualize complex relations in data in a simple manner to human readers. Many attempts were made to transfer classical graph drawing approaches to order diagrams. Alth...
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In this paper we present our approach to the 2010 ImageClef PhotoAnnotation task. Based on the well-known bag-of-words approach we suggest two extensions. First, we analyzed the impact of category specific features an...
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In this paper we present our approach to the 2010 ImageClef PhotoAnnotation task. Based on the well-known bag-of-words approach we suggest two extensions. First, we analyzed the impact of category specific features and classifiers. In order to classify quality-related image categories we implemented a sharpness measure and use this as additional feature in the classification process. Second, we propose a post- classification step, which is based on the observation that many of the categories should be considered as being related to each other: Some categories exclude or allow for inference to others. We incorporate inference and exclusion rules by refining the classification results. The results we obtain show that both extensions can provide a classification performance increase when compared the the standard BoW approach.
To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meani...
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To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meaning, interpretation and subject identity in modern semantic web languages. Based on the semiotic triangle we show that topics as well as RDF resources are symbols, representing concepts and not referents as the common term "subject" would indicate. A subject can not be represented as a single entity, but rather as a complex and evolving system of different concepts. Based on this insight we explain how the resulting plurality and uncertainness of the interpretation of symbols can be handled using semantic mappings. By defining transformation rules, the exchange and integration of knowledge from different semantic models becomes possible. Concluding we define recommendations and design guidelines for a semantic mapping management system, which is needed to support users and applications in creating, reusing, managing and applying such semantic mappings.
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