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        <title> challengers</title>
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       <dc:date>2026-04-07T16:33:17+00:00</dc:date>
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        <dc:date>2014-03-21T16:25:13+00:00</dc:date>
        <title>conTEXT</title>
        <link>http://62.217.127.16/aimashup14/doku.php?id=challengers:context&amp;rev=1395419113&amp;do=diff</link>
        <description>Authors

Ali Khalili, S.ren Auer and Axel-Cyrille Ngonga Ngomo

Abstract

Social media technologies such as Weblogs, Microblogging, Wikis and Social Networks have become one of the most important parts of our daily life as they enable us to communicate and share stories with a lot of people. The more the amount of published information grows, the more important are solutions for accessing, analyzing, summarizing and visualizing information. While substantial progress has been made in the last ye…</description>
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        <dc:date>2014-03-23T11:00:27+00:00</dc:date>
        <title>ECSTASYS</title>
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        <description>Authors

Marco Brambilla, Daniele Dell'Aglio, Emanuele Della Valle, Andrea Mauri, Riccardo Volonterio

Abstract

During a conference, it is a common behaviour to spread the word about discoveries, feelings and considerations. Those thoughts usually refer to the events that are occurring in the conference, such as keynotes, tutorials, talks. Among the possible communication channels to do it, Twitter is one of the most adopted platforms: it can reach easily a large amount of interested people, th…</description>
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    <item rdf:about="http://62.217.127.16/aimashup14/doku.php?id=challengers:incresent&amp;rev=1395418331&amp;do=diff">
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        <dc:date>2014-03-21T16:12:11+00:00</dc:date>
        <title>An Approach for Incremental Entity Resolution at the Example of Social Media Data</title>
        <link>http://62.217.127.16/aimashup14/doku.php?id=challengers:incresent&amp;rev=1395418331&amp;do=diff</link>
        <description>Authors

B. Opitz, T. Sztyler, M. Jess, F. Knip, C. Bikar, B. Pfister, A. Scherp

Abstract

When querying data providers on the web, one has no guarantee that they will reply within a given time. Some providers may even not answer at all. This makes it infeasible to wait for a complete result before beginning with the entity resolution. In order to solve this problem, we present a query-time entity resolution approach that takes the asynchronous nature of the replies from data providers into acc…</description>
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        <dc:date>2014-04-05T15:55:00+00:00</dc:date>
        <title>LODStories: Building Multimedia Stories about Art using Linked Open Data</title>
        <link>http://62.217.127.16/aimashup14/doku.php?id=challengers:lodstories&amp;rev=1396713300&amp;do=diff</link>
        <description>Authors

Jianliang Chen, Yuting Liu, Dipanwita Maulik, Linda Xu, Hao Zhang, Craig A. Knoblock, Pedro Szekely, and Miel Vander Sande

Abstract

There is a great deal of data published in the Linked Data Cloud, but it difficult for a user to explore and use this data.  To address this problem, we have developed an application called LODStories, which allows people to navigate and explore the available linked data.  We are focusing specifically on data about artwork using Linked Data we built for t…</description>
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        <dc:date>2014-03-09T11:27:24+00:00</dc:date>
        <title>Map4RDFiOS - Rapid mashup development of Linked Geospatial Data</title>
        <link>http://62.217.127.16/aimashup14/doku.php?id=challengers:map4rdfios&amp;rev=1394364444&amp;do=diff</link>
        <description>Abstract

We present the Map4RDFiOS app, which is available for iOS 5 to 7 devices,
and allows creating and interacting with mashups of Linked Geospatial Data
available through SPARQL endpoints, as long as they support any of the
most common geospatial vocabularies (e.g., WGS84, GeoSPARQL), the W3C Data
Cube vocabulary for statistical data, and data stream information
available through the SPARQL-Stream language. We will show examples of
mashups in the areas of public transport in Madrid, geomar…</description>
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    <item rdf:about="http://62.217.127.16/aimashup14/doku.php?id=challengers:omp&amp;rev=1395415543&amp;do=diff">
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        <dc:date>2014-03-21T15:25:43+00:00</dc:date>
        <title>Open Mashup Platform</title>
        <link>http://62.217.127.16/aimashup14/doku.php?id=challengers:omp&amp;rev=1395415543&amp;do=diff</link>
        <description>Authors

Tuan-Dat Trinh, Peter Wetz, Ba-Lam Do, Amin Anjomshoaa, Elmar Kiesling, A Min Tjoa

Abstract

Since 2005, there has been much research, proposed architectures and tools about mashups, which, undoubtedly, demonstrate this concept’s importance and usefulness. However, many tools, especially ones from big corporations, e.g. Microsoft Popfly, IBM Mashup Center and Google Mashup Editor were discontinued. All of them have significant weaknesses: (i) they can solve only one or several classes …</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2014-02-28T16:55:47+00:00</dc:date>
        <title>Combining the Web of documents with the Web of data to generate enhanced snippets</title>
        <link>http://62.217.127.16/aimashup14/doku.php?id=challengers:semashup&amp;rev=1393606547&amp;do=diff</link>
        <description>Authors

Pierre-Edouard Portier, Mazen Alsarem, Sylvie Calabretto

Abstract

We enhance an existing search engine's snippet (i.e. excerpt from a web page determined at query-time in order to efficiently express how the web page may be relevant to the query) with linked data (LD) in order to highlight non trivial relationships between the information need of the user and LD resources related to the result page.
Given a query, we first retrieve the top ranked web pages from the search engine resul…</description>
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        <dc:date>2014-03-21T16:31:08+00:00</dc:date>
        <title>A Mashup for Detecting and Navigating through Similar Academic Research Areas</title>
        <link>http://62.217.127.16/aimashup14/doku.php?id=challengers:simac&amp;rev=1395419468&amp;do=diff</link>
        <description>Abstract

The process of detecting similar research areas in academic is paramount, due to the large number of data sources, processes and high volumes of data to be analyzed. Academic researchers are
used to producing and gathering a vast amount of data about their publications. Typical publications are indexed in different search applications. Unfortunately, these heterogeneous data are only partially used for detect similar research areas due to the wide variety of formats, standards and tech…</description>
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