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Related papers: Towards a Query Language for the Web of Data (A Vi…

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The Data Web refers to the vast and rapidly increasing quantity of scientific, corporate, government and crowd-sourced data published in the form of Linked Open Data, which encourages the uniform representation of heterogeneous data items…

The World Wide Web currently evolves into a Web of Linked Data where content providers publish and link data as they have done with hypertext for the last 20 years. While the declarative query language SPARQL is the de facto for querying…

Databases · Computer Science 2012-04-09 Olaf Hartig

Most works on Web services has focused on discovery, composition and selection processes of these kinds of services. Other few works were interested in how to represent Web services search queries. However, these queries cannot be processed…

Databases · Computer Science 2012-04-26 Ibrahim El Bitar , Fatima Zahra Belouadha , Ounsa Roudies

The multidimensional, heterogeneous, and temporal nature of speech databases raises interesting challenges for representation and query. Recently, annotation graphs have been proposed as a general-purpose representational framework for…

Computation and Language · Computer Science 2007-05-23 Steven Bird , Peter Buneman , Wang-Chiew Tan

The Web of Linked Data is composed of tons of RDF documents interlinked to each other forming a huge repository of distributed semantic data. Effectively querying this distributed data source is an important open problem in the Semantic Web…

Databases · Computer Science 2015-07-21 Olaf Hartig , Jorge Pérez

The Web community has introduced a set of standards and technologies for representing, querying, and manipulating a globally distributed data structure known as the Web of Data. The proponents of the Web of Data envision much of the world's…

Artificial Intelligence · Computer Science 2009-08-05 Marko A. Rodriguez

Whereas the availability of data has seen a manyfold increase in past years, its value can be only shown if the data variety is effectively tackled ---one of the prominent Big Data challenges. The lack of data interoperability limits the…

Databases · Computer Science 2019-10-09 Mohamed Nadjib Mami , Damien Graux , Harsh Thakkar , Simon Scerri , Sören Auer , Jens Lehmann

We regularly encounter information on novel, emerging topics for which the body of knowledge is still evolving, which can be linked, for instance, to current events. A primary way to learn more about such topics is through web search.…

Information Retrieval · Computer Science 2025-09-15 Alisa Rieger , Stefan Dietze , Ran Yu

Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstructured datasets to structured datasets with highly…

Information Retrieval · Computer Science 2016-02-17 Saeedeh Shekarpour , Denis Lukovnikov , Ashwini Jaya Kumar , Kemele Endris , Kuldeep Singh , Harsh Thakkar , Christoph Lange

Despite the fact that JSON is currently one of the most popular formats for exchanging data on the Web, there are very few studies on this topic and there are no agreement upon theoretical framework for dealing with JSON. There- fore in…

Databases · Computer Science 2017-01-10 Pierre Bourhis , Juan L. Reutter , Fernando Suárez , Domagoj Vrgoč

The Internet of Things (IoT), in general, is a compelling paradigm that aims to connect everyday objects to the Internet. Nowadays, IoT is considered as one of the main technologies which contribute towards reshaping our daily lives in the…

Information Retrieval · Computer Science 2016-07-26 Ali Shemshadi , Quan Z. Sheng , Wei Emma Zhang , Aixin Sun , Yongrui Qin , Lina Yao

The emerging Web of Data utilizes the web infrastructure to represent and interrelate data. The foundational standards of the Web of Data include the Uniform Resource Identifier (URI) and the Resource Description Framework (RDF). URIs are…

Artificial Intelligence · Computer Science 2011-08-05 Marko A. Rodriguez

This half day workshop explores challenges in data search, with a particular focus on data on the web. We want to stimulate an interdisciplinary discussion around how to improve the description, discovery, ranking and presentation of…

Other Computer Science · Computer Science 2018-05-31 Paul Groth , Laura Koesten , Philipp Mayr , Maarten de Rijke , Elena Simperl

There has been recently a growth of interest in developing the current machine-readable Web towards the next generation of machine-understandable Web - Semantic Web. The development of the Web to a global business was reasonably fast,…

Software Engineering · Computer Science 2021-05-07 Bryar A. Hassan

XML is becoming the most relevant new standard for data representation and exchange on the WWW. Novel languages for extracting and restructuring the XML content have been proposed, some in the tradition of database query languages (i.e.…

Databases · Computer Science 2007-05-23 Angela Bonifati , Stefano Ceri

Existing query languages for data discovery exhibit system-driven designs that emphasize database features and functionality over user needs. We propose a re-prioritization of the client through an introduction of a language-driven approach…

Databases · Computer Science 2025-08-12 Andrew Kang , Sainyam Galhotra

The massive semantic data sources linked in the Web of Data give new meaning to old features like navigation; introduce new challenges like semantic specification of Web fragments; and make it possible to specify actions relying on semantic…

Networking and Internet Architecture · Computer Science 2011-11-21 Valeria Fionda , Claudio Gutierrez , Giuseppe Pirró

With the huge amount of information available online, the World Wide Web is a fertile area for data mining research. The Web mining research is at the cross road of research from several research communities, such as database, information…

Machine Learning · Computer Science 2007-05-23 Raymond Kosala , Hendrik Blockeel

What is the next step after the data/digital revolution? What do we need the most to reach this aim? How machines can memorize, learn or discover? What should they be able to do to be qualified as "intelligent"? These questions relate to…

Machine Learning · Computer Science 2024-10-23 Veyis Gunes

For complex data types such as multimedia, traditional data management methods are not suitable. Instead of attribute matching approaches, access methods based on object similarity are becoming popular. Recently, this resulted in an…

Databases · Computer Science 2012-04-06 Petra Budikova , Michal Batko , Pavel Zezula
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