In the past, various studies have been proposed to acquire the capacity to perceive and comprehend language in articles or human communications. Recently, researchers focus on higher semantic levels to what human woul...
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ISBN:
(纸本)9781450327459
In the past, various studies have been proposed to acquire the capacity to perceive and comprehend language in articles or human communications. Recently, researchers focus on higher semantic levels to what human would need to understand the contents of articles. While human can smoothly interpret documents when they have knowledge of the context of documents, they have difficulty with those as their context is lost or changes. In this Phd proposal, we address three novel research questions: detecting uninter-pretable pieces in documents, retrieving contextual information and constructing compact context for the documents, then propose approaches to these tasks, anddiscuss related issues.
As the web evolves in an integrated and interlinked knowledge space thanks to the growing amount of published Linked Open data, the need to find solutions that enable the scholars to discover, explore and analyse the ...
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ISBN:
(纸本)9781450327459
As the web evolves in an integrated and interlinked knowledge space thanks to the growing amount of published Linked Open data, the need to find solutions that enable the scholars to discover, explore and analyse the underlying research data emerges. Scholars, typically non-expert technology users, lack of in-depth understanding of the underlying semantic technology which limits their ability to interpret and query the data. We present a visual workflow to connect scholars and scientific resources on the web of data. We allow scholars to move from exploratory analysis in academic social networks to exposing relations between these resources. We allow them to reveal experts in a particular field anddiscover relations in and beyond their research communities. This paper aims to evaluate the potential of such a visual workflow to be used by non-expert users to interact with the semantically enricheddata and familiarize with the underlying datas.
With the rapid emergence of applications in mobile networks, understanding and characterizing their properties becomes extremely important. In this paper, from the fundamental model of time-varying graphs, we introduc...
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ISBN:
(纸本)9781450327459
With the rapid emergence of applications in mobile networks, understanding and characterizing their properties becomes extremely important. In this paper, from the fundamental model of time-varying graphs, we introduce Temporal Capacity Graphs (TCG), which characterizes the maximum amount of the data that can be transmitted between any two nodes within any time, and consequently reveals the transmission capacity of the whole network. By applying TCG to several realistic mobile networks, we analyze their unique properties. Moreover, using TCG, we reveal the fundamental relationships and tradeoffs between the mobile network settings and system performance.
We demonstrate a system for fast and intuitive exploration of the Freebase dataset. This required solving several non-trivial problems, including: entity scores for proper ranking and name disambiguation, a unique mea...
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ISBN:
(纸本)9781450327459
We demonstrate a system for fast and intuitive exploration of the Freebase dataset. This required solving several non-trivial problems, including: entity scores for proper ranking and name disambiguation, a unique meaningful name for every entity and every type, extraction of canonical binary relations from multi-way relations (which in Freebase are modeled via so-called mediator objects), computing the transitive hull of selected relations, mid identifying and merging duplicates. Our contribution is two-fold. First, we provide for download an up-to-date version of the Freebase data, enriched and simplified as just sketched. Second, we offer a user interface for exploring and SearelInIg this data set. The data set, the user interface and a demo video are available from http://***.
Multiple color search technology helps users find fashion products in a more intuitive manner. Although fashion product images can be represented not only by a set of dominant colors but also by the relative ratio of ...
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ISBN:
(纸本)9781450327459
Multiple color search technology helps users find fashion products in a more intuitive manner. Although fashion product images can be represented not only by a set of dominant colors but also by the relative ratio of colors, current online fashion shopping malls often provide rather simple color filters. In this demo, we present PRISM (Perceptual Representation of Image SiMilarity), a weighted multi-color browsing system for fashion products retrieval. Our system combines widely accepted backendweb service stacks and various computer vision techniques including a product area parsing and a compact yet effective multi-color description. Finally, we demonstrate the benefits of PRISM system via web service in which users freely browse fashion products.
Resources for research are not always easy to explore, and rarely come with strong support for identifying, linking and selecting those that can be of interest to scholars. In this work we introduce a model that uses ...
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ISBN:
(纸本)9781450327459
Resources for research are not always easy to explore, and rarely come with strong support for identifying, linking and selecting those that can be of interest to scholars. In this work we introduce a model that uses state-of-the-art semantic technologies to interlink structured research data anddata from web collaboration tools, social media and Linked Open data. We use this model to build a platform that connects scholars, using their profiles as a starting point to explore novel and relevant content for their research. Scholars can easily adapt to evolving trends by synchronizing new social media accounts or collaboration tools and integrate then with new datasets. We evaluate our approach by a scenario of personalized exploration of research repositories where we analyze real world scholar profiles and compare them to a reference profile.
The majority of data (including data published on the web as Linked Open data) has a spatial dimension. However, the efficient, user friendly exploration of spatial data remains a major challenge. We present Facete, a...
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ISBN:
(纸本)9781450327459
The majority of data (including data published on the web as Linked Open data) has a spatial dimension. However, the efficient, user friendly exploration of spatial data remains a major challenge. We present Facete, a web-based exploration and visualization application enabling the spatial faceted browsing of data with a spatial dimension. Facete implements a novel spatial data exploration paradigm based on the following three key components: First, a domain independent faceted filtering module, which operates directly on SPARQL and supports nested facets. Second, an algorithm that efficiently detects spatial information related to those resources that satisfy the facet selection. The detected relations are used for automatically presenting data on a map. And third, a workflow for making the map display interact with data sources that contain large amounts of geometric information. We demonstrate Facete in large-scale, real world application scenarios.
Wikipedia is a global crowdsourced encyclopedia that at time of writing is available in 287 languages. Wikidata is a likewise global crowdsourced knowledge base that provides shared facts to be used by Wikipedias. In ...
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ISBN:
(纸本)9781450327459
Wikipedia is a global crowdsourced encyclopedia that at time of writing is available in 287 languages. Wikidata is a likewise global crowdsourced knowledge base that provides shared facts to be used by Wikipedias. In the context of this research, we have developed an application and an underlying Application Programming Interface (API) capable of monitoring realtime edit activity of all language versions of Wikipedia and Wikidata. This application allows us to easily analyze edits in order to answer questions such as "Bots vs. Wikipedians, who edits more?", "Which is the most anonymously edited Wikipedia?", or "Who are the bots and what do they edit?". To the best of our knowledge, this is the first time such an analysis could be done in realtime for Wikidata and for really all Wikipedias large and small.
Following the latest developments in online learning and Linkeddata, the scope of this tutorial will be two-fold: 1. New online learning methods will be taught for supporting the teaching of Linkeddata. Additionally...
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ISBN:
(纸本)9781450327459
Following the latest developments in online learning and Linkeddata, the scope of this tutorial will be two-fold: 1. New online learning methods will be taught for supporting the teaching of Linkeddata. Additionally, the lessons learned and the best practices derived from designing anddelivering a Linkeddata curriculum by the EUCLId project will be discussed. 2. Ways in which Linkeddata principles and technologies can be used to support online learning and create innovative educational services will be explained, based on the experience developed in the development of existing Linkeddata applications for online learning. We will in particular rely on the data catalogue, use cases and applications considered by the LinkedUp project.
The term 39;Social Machine39; (SM) has been commonly used as a synonym for what is known as the programmable web or web3.0. Some definitions of a Social Machine have already been provided and they basically suppo...
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ISBN:
(纸本)9781450327459
The term 'Social Machine' (SM) has been commonly used as a synonym for what is known as the programmable web or web3.0. Some definitions of a Social Machine have already been provided and they basically support the notion of relationships between distributed entities. The type of relationship molds which services would be provided or required by each machine, and under certain complex constraints. In order to deal with the complexity of this emerging web, we present a language that can describe networks of Social Machines, named SMAdL - the Social Machine Architecture description Language. In few words, SMAdL is as a relationship-driven language which can be used to describe the interactions between any number of machines in a multitude of ways, as a means to represent real machines interacting in the real web, such as, Twitter running on top of Amazon AWS or mash-ups built upon Google Maps, and obviously, as a means to represent interactions with other social machines too.
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