Publications

Continuous generation of versioned collections’ members with RML and LDES

by Dylan Van Assche, Julián Rojas Meléndez, Pieter Colpaert

When evolving datasets are used to generate a knowledge graph, it is usually challenging to keep the graph synchronized in a timely manner when changes occur in the source data. Current approaches fully regenerate a knowledge graph in such cases, which may be time consuming depending on the data type, size, and update frequency. We propose a contin…

Published on 2022-06-20

Balancing RDF generation from heterogeneous data sources

by Dylan Van Assche

Knowledge graphs in RDF are often generated from heterogeneous data sources to power services. However, knowledge graph generation is an unbalanced effort for producers compared to consumers of a knowledge graph. In this paper, I present my research about (i) investigating current RDF knowledge graph production and consumption approaches, and (ii) …

Published on 2022-06-20

Preface for the 3rd Edition of the International Knowledge Graph Construction Workshop

by Anastasia Dimou, David Chaves-Fraga, Freddy Priyatna, Juan Sequeda, Pieter Heyvaert

The third edition of the knowledge graph construction workshop has a special focus on the automatization of knowledge graph construction methods, analyzing their alignment with previous standard but declarative approaches using mapping rules.

Published on 2022-05-25

Preface for the 2nd Edition of the International Knowledge Graph Construction Workshop

by Anastasia Dimou, David Chaves-Fraga, Freddy Priyatna, Juan Sequeda, Pieter Heyvaert

The second edition of the knowledge graph construction workshop has a special focus on knowledge graph construction methods that involve or analyze the roles of users in these processes.

Published on 2021-06-02

RDF Graph Validation Using Rule-Based Reasoning

by Anastasia Dimou, Ben De Meester, Dörthe Arndt, Pieter Heyvaert, Ruben Verborgh

The correct functioning of Semantic Web applications requires that given RDF graphs adhere to an expected shape. This shape depends on the RDF graph and the application’s supported entailments of that graph. During validation, RDF graphs are assessed against sets of constraints, and found violations help refining the RDF graphs. However, existing v…

Published on 2021

RDF Graph Validation Using Rule-Based Reasoning

by Anastasia Dimou, Ben De Meester, Dörthe Arndt, Pieter Heyvaert, Ruben Verborgh

The correct functioning of Semantic Web applications requires that given RDF graphs adhere to an expected shape. This shape depends on the RDF graph and the application’s supported entailments of that graph. During validation, RDF graphs are assessed against sets of constraints, and found violations help refining the RDF graphs. However, existing v…

Published on 2020-11-19

Rule-driven inconsistency resolution for knowledge graph generation

by Anastasia Dimou, Ben De Meester, Pieter Heyvaert, Ruben Verborgh

Knowledge graphs, which contain annotated descriptions of entities and their interrelations, are often generated using rules that apply semantic annotations to certain data sources. (Re)using ontology terms without adhering to the axioms defined by their ontologies results in inconsistencies in these graphs, affecting their quality. Methods and too…

Published on 2019-10-28

Parallel RDF generation from heterogeneous big data

by Anastasia Dimou, Gerald Haesendonck, Pieter Heyvaert, Ruben Verborgh, Wouter Maroy

To unlock the value of increasingly available data in high volumes, we need flexible ways to integrate data across different sources. While semantic integration can be provided through RDF generation, current generators insufficiently scale in terms of volume. Generators are limited by memory constraints. Therefore, we developed the RMLStreamer, a …

Published on 2019-07-01

Conformance Test Cases for the RDF Mapping Language (RML)

by Anastasia Dimou, David Chaves-Fraga, Erik Mannens, Freddy Priyatna, Oscar Corcho, Pieter Heyvaert, Ruben Verborgh

Knowledge graphs are often generated using rules that apply semantic annotations to data sources. Software tools then execute these rules and generate or virtualize the corresponding RDF-based knowledge graph. RML is an extension of the W3C-recommended R2RML language, extending support from relational databases to other data sources, such as data i…

Published on 2019-05-19

Mapping languages: analysis of comparative characteristics

by Anastasia Dimou, Ben De Meester, Pieter Heyvaert, Ruben Verborgh

RDF generation processes are becoming more interoperable, reusable, and maintainable due to the increased usage of mapping languages: languages used to describe how to generate an RDF graph from (semi-)structured data. This leads to a rise of new mapping languages, each with different characteristics. However, it is not clear which mapping language…

Published on 2019

Rule-driven inconsistency resolution for knowledge graph generation

by Anastasia Dimou, Ben De Meester, Pieter Heyvaert, Ruben Verborgh

Knowledge graphs, which contain annotated descriptions of entities and their interrelations, are often generated using rules that apply semantic annotations to certain data sources. (Re)using ontology terms without adhering to the axioms defined by their ontologies results in inconsistencies in these graphs, affecting their quality. Methods and too…

Published on 2019

Parallel RDF generation from heterogeneous big data

by Anastasia Dimou, Gerald Haesendonck, Pieter Heyvaert, Ruben Verborgh, Wouter Maroy

To unlock the value of increasingly available data in high volumes, we need flexible ways to integrate data across different sources. While semantic integration can be provided through RDF generation, current generators insufficiently scale in terms of volume. Generators are limited by memory constraints. Therefore, we developed the RMLStreamer, a …

Published on 2019

Conformance Test Cases for the RDF Mapping Language (RML)

by Anastasia Dimou, David Chaves-Fraga, Erik Mannens, Freddy Priyatna, Oscar Corcho, Pieter Heyvaert, Ruben Verborgh

Knowledge graphs are often generated using rules that apply semantic annotations to data sources. Software tools then execute these rules and generate or virtualize the corresponding RDF-based knowledge graph. RML is an extension of the W3C-recommended R2RML language, extending support from relational databases to other data sources, such as data i…

Published on 2019

Supporting sustainable publishing and consuming of live Linked Time Series Streams

by Gayane Sedrakyan, Julián Rojas Meléndez, Pieter Colpaert, Ruben Verborgh

The road to publishing public streaming data on the Web is paved with trade-offs that determine its viability. The cost of unrestricted query answering on top of data streams, may not be affordable for all data publishers. Therefore, public streams needs to be funded in a sustainable fashion to remain online. In this paper we introduce an overview …

Published on 2018-08-02

Declarative Rules for Linked Data Generation at your Fingertips!

by Anastasia Dimou, Ben De Meester, Pieter Heyvaert, Ruben Verborgh

Linked Data is often generated based on a set of declarative rules using languages such as R2RML and RML. These languages are built with machine-processability in mind. It is thus not always straightforward for users to define or understand rules written in these languages, preventing them from applying the desired annotations to the data sources. …

Published on 2018-08-02

SeGoFlow: A Semantic Governance Workflow Tool

by Anastasia Dimou, Ruben Verborgh, Sven Lieber

Data management increasingly demands transparency with respect to data processing. Various stakeholders need information tailored to their needs, e.g. data management plans (DMP) for funding agencies or privacy policies for the public. DMPs and privacy policies are just two examples of documents describing aspects of data processing. Dedicated tool…

Published on 2018-08-02

Specification and Implementation of Mapping Rule Visualization and Editing: MapVOWL and the RMLEditor

by Anastasia Dimou, Aron-Levi Herregodts, Ben De Meester, Dimitri Schuurman, Erik Mannens, Pieter Heyvaert, Ruben Verborgh, Tom Seymoens

Visual tools are implemented to help users in defining how to generate Linked Data from raw data. This is possible thanks to mapping languages which enable detaching mapping rules from the implementation that executes them. However, no thorough research has been conducted so far on how to visualize such mapping rules, especially if they become larg…

Published on 2018-03-16

Specification and Implementation of Mapping Rule Visualization and Editing: MapVOWL and the RMLEditor

by Anastasia Dimou, Aron-Levi Herregodts, Ben De Meester, Dimitri Schuurman, Erik Mannens, Pieter Heyvaert, Ruben Verborgh, Tom Seymoens

Visual tools are implemented to help users in defining how to generate Linked Data from raw data. This is possible thanks to mapping languages which enable detaching mapping rules from the implementation that executes them. However, no thorough research has been conducted so far on how to visualize such mapping rules, especially if they become larg…

Published on 2018

Supporting sustainable publishing and consuming of live Linked Time Series Streams

by Gayane Sedrakyan, Julián Rojas Meléndez, Pieter Colpaert, Ruben Verborgh

The road to publishing public streaming data on the Web is paved with trade-offs that determine its viability. The cost of unrestricted query answering on top of data streams, may not be affordable for all data publishers. Therefore, public streams needs to be funded in a sustainable fashion to remain online. In this paper we introduce an overview …

Published on 2018

Declarative Rules for Linked Data Generation at your Fingertips!

by Anastasia Dimou, Ben De Meester, Pieter Heyvaert, Ruben Verborgh

Linked Data is often generated based on a set of declarative rules using languages such as R2RML and RML. These languages are built with machine-processability in mind. It is thus not always straightforward for users to define or understand rules written in these languages, preventing them from applying the desired annotations to the data sources. …

Published on 2018

SeGoFlow: A Semantic Governance Workflow Tool

by Anastasia Dimou, Ruben Verborgh, Sven Lieber

Data management increasingly demands transparency with respect to data processing. Various stakeholders need information tailored to their needs, e.g. data management plans (DMP) for funding agencies or privacy policies for the public. DMPs and privacy policies are just two examples of documents describing aspects of data processing. Dedicated tool…

Published on 2018

Web-scale Provenance Reconstruction of Implicit Information Diffusion on Social Media

by Io Taxidou, Peter Fischer, Ruben Verborgh, Sven Lieber, Tom De Nies

Fast, massive, and viral data diffused on social media affects a large share of the online population, and thus, the (prospective) information diffusion mechanisms behind it are of great interest to researchers. The (retrospective) provenance of such data is equally important because it contributes to the understanding of the relevance and trustwor…

Published on 2018

What Factors Influence the Design of a Linked Data Generation Algorithm?

by Anastasia Dimou, Ben De Meester, Pieter Heyvaert, Ruben Verborgh

Generating Linked Data remains a complicated and intensive engineering process. While different factors determine how a Linked Data generation algorithm is designed, potential alternatives for each factor are currently not considered when designing the tools’ underlying algorithms. Certain design patterns are frequently applied across different too…

Published on 2018

Towards a Uniform User Interface for Editing Data Shapes

by Anastasia Dimou, Ben De Meester, Pieter Heyvaert, Ruben Verborgh

Data quality is an important factor for the success of the envisaged Semantic Web. As machines are inherently intolerant at the interpretation of unexpected input, low quality data produces low quality results. Recently, constraint languages such as SHACL were proposed to assess the quality of data graphs, decoupled from the use case and the implem…

Published on 2018

Web-scale Provenance Reconstruction of Implicit Information Diffusion on Social Media

by Io Taxidou, Peter Fischer, Ruben Verborgh, Sven Lieber, Tom De Nies

Fast, massive, and viral data diffused on social media affects a large share of the online population, and thus, the (prospective) information diffusion mechanisms behind it are of great interest to researchers. The (retrospective) provenance of such data is equally important because it contributes to the understanding of the relevance and trustwor…

Published on 2017-10-20

Modeling, Generating, and Publishing Knowledge as Linked Data

by Anastasia Dimou, Pieter Heyvaert, Ruben Taelman, Ruben Verborgh

The process of extracting, structuring, and organizing knowledge from one or multiple data sources and preparing it for the Semantic Web requires a dedicated class of systems. They enable processing large and originally heterogeneous data sources and capturing new knowledge. Offering existing data as Linked Data increases its shareability, extensib…

Published on 2017-05-20

Representing Dockerfiles in RDF

by Ben De Meester, Emanuele Della Valle, Erik Mannens, Pieter Heyvaert, Riccardo Tommasini, Ruben Verborgh

Containers – lightweight, stand-alone software executables – are everywhere. Industries exploit container managers to orchestrate complex cloud infrastructures and researchers in academia use them to foster reproducibility of computational experiments. Among existing solutions, Docker is the de facto standard in the container industry. In this pape…

Published on 2017

Semi-Automatic Example-Driven Linked Data Mapping Creation

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Ruben Verborgh

Linked Data can be generated by applying mapping rules on existing (semi-)structured data. The manual creation of these rules involves a costly process for users. Therefore, (semi-)automatic approaches have been developed to assist users. Although, they provide promising results, in use cases where examples of the desired Linked Data are available …

Published on 2017

Modeling, Generating, and Publishing Knowledge as Linked Data

by Anastasia Dimou, Pieter Heyvaert, Ruben Taelman, Ruben Verborgh

The process of extracting, structuring, and organizing knowledge from one or multiple data sources and preparing it for the Semantic Web requires a dedicated class of systems. They enable processing large and originally heterogeneous data sources and capturing new knowledge. Offering existing data as Linked Data increases its shareability, extensib…

Published on 2017

Graph-Based Editing of Linked Data Mappings using the RMLEditor

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Linked Data is in many cases generated from (semi-)structured data. This generation is supported by several tools, a number of which use a mapping language to facilitate the Linked Data generation. However, knowledge of this language and other used technologies is required to use the tools, limiting their adoption by non-Semantic Web experts. We de…

Published on 2016-10-20

RMLEditor: A Graph-based Mapping Editor for Linked Data Mappings

by Anastasia Dimou, Aron-Levi Herregodts, Dimitri Schuurman, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Although several tools have been implemented to generate Linked Data from raw data, users still need to be aware of the underlying technologies and Linked Data principles to use them. Mapping languages enable to detach the mapping definitions from the implementation that executes them. However, no thorough research has been conducted on how to faci…

Published on 2016-05-14

Merging and Enriching DCAT Feeds to Improve Discoverability of Datasets

by Erik Mannens, Pieter Colpaert, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Data Catalog Vocabulary (DCAT) is a W3C specification to describe datasets published on the Web. However, these catalogs are not easily discoverable based on a user’s needs. In this paper, we introduce the Node.js module "dcat-merger" which allows a user agent to download and semantically merge different DCAT feeds from the Web into one DCAT feed, …

Published on 2016-01-09

Semantically Annotating CEUR-WS Workshop Proceedings with RML

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

In this paper, we present our solution for the first task of the second edition of the Semantic Publishing Challenge. The task requires extracting and semantically annotating information regarding CEUR-WS workshops, their chairs and conference affiliations, as well as their papers and their authors, from a set of html-encoded workshop proceedings v…

Published on 2016-01-07

Querying Dynamic Datasources with Continuously Mapped Sensor Data

by Erik Mannens, Pieter Heyvaert, Ruben Taelman, Ruben Verborgh

The world contains a large amount of sensors that produce new data at a high frequency. It is currently very hard to find public services that expose these measurements as dynamic Linked Data. We investigate how sensor data can be published continuously on the Web at a low cost. This paper describes how the publication of various sensor data source…

Published on 2016

Data Analysis of Hierarchical Data for RDF Term Identification

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Ruben Verborgh

Generating Linked Data based on existing data sources requires the modeling of their information structure. This modeling needs the identification of potential entities, their attributes and the relationships between them and among entities. For databases this identification is not required, because a data schema is always available. However, for o…

Published on 2016

Linked Sensor Data Generation using Queryable RML Mappings

by Erik Mannens, Pieter Heyvaert, Ruben Taelman, Ruben Verborgh

As the amount of generated sensor data is increasing, semantic interoperability becomes an important aspect in order to support efficient data distribution and communication. Therefore, the integration and fusion of (sensor) data is important, as this data is coming from different data sources and might be in different formats. Furthermore, reusabl…

Published on 2016

Towards an Interface for User-Friendly Linked Data Generation Administration

by Anastasia Dimou, Erik Mannens, Laurens De Graeve, Pieter Heyvaert, Ruben Verborgh, Wouter Maroy

Linked Data generation and publication remain challenging and complicated, in particular for data owners who are not Semantic Web experts or tech-savvy. The situation deteriorates when data from multiple heterogeneous sources, accessed via different interfaces, is integrated, and the Linked Data generation is a long-lasting activity repeated period…

Published on 2016

Graph-Based Editing of Linked Data Mappings using the RMLEditor

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Linked Data is in many cases generated from (semi-)structured data. This generation is supported by several tools, a number of which use a mapping language to facilitate the Linked Data generation. However, knowledge of this language and other used technologies is required to use the tools, limiting their adoption by non-Semantic Web experts. We de…

Published on 2016

RMLEditor: A Graph-based Mapping Editor for Linked Data Mappings

by Anastasia Dimou, Aron-Levi Herregodts, Dimitri Schuurman, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Although several tools have been implemented to generate Linked Data from raw data, users still need to be aware of the underlying technologies and Linked Data principles to use them. Mapping languages enable to detach the mapping definitions from the implementation that executes them. However, no thorough research has been conducted on how to faci…

Published on 2016

Semantically Annotating CEUR-WS Workshop Proceedings with RML

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

In this paper, we present our solution for the first task of the second edition of the Semantic Publishing Challenge. The task requires extracting and semantically annotating information regarding CEUR-WS workshops, their chairs and conference affiliations, as well as their papers and their authors, from a set of html-encoded workshop proceedings v…

Published on 2016

Linked Data-enabled Gamification in EPUB 3 for Educational Digital Textbooks

by Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Interest in eLearning environments is constantly increasing, as well as in digital textbooks and gamification. The advantages of gamification in the context of education have been proven. However, gamified educational material, such as digital textbooks and digital systems, are scarce. As an answer to the need for such material, the framework GEL (…

Published on 2015-11-26

Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital Comics

by Erik Mannens, Joachim Van Herwegen, Miel Vander Sande, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh, Tom De Nies, Wesley De Neve

Various methods are needed to extract information from current (digital) comics. Furthermore, the use of different (proprietary) formats by comic distribution platforms causes an overhead for authors. To overcome these issues, we propose a solution that makes use of the EPUB 3 specification, additionally leveraging the Open Web Platform to support …

Published on 2015-09-01

Linked Data and Linked APIs: Similarities, Differences, and Challenges

by Joaquim Gabarró Vallés, Rik Van de Walle, Ruben Verborgh, Thomas Steiner

In an often retweeted Twitter post, entrepreneur and software architect Inge Henriksen described the relation of Web 1.0 to Web 3.0 as: “Web 1.0 connected humans with machines. Web 2.0 connected humans with humans. Web 3.0 connects machines with machines.” On the one hand, an incredible amount of valuable data is described by billions of triples, m…

Published on 2015-04-21

PREMIS OWL

by Erik Mannens, Kevin Ford, Rebecca Guenther, Rik Van de Walle, Ruben Verborgh, Sam Coppens, Sébastien Peyrard, Tom Creighton

In this article, we present PREMIS OWL. This is a semantic formalisation of the PREMIS 2.2 data dictionary of the Library of Congress. PREMIS 2.2 are metadata implementation guidelines for digitally archiving information for the long term. Nowadays, the need for digital preservation is growing. A lot of the digital information produced merely a dec…

Published on 2015-01-11

RESTdesc—A Functionality-Centered Approach to Semantic Service Description and Composition

by Davy Van Deursen, Erik Mannens, Joaquim Gabarró Vallés, Rik Van de Walle, Ruben Verborgh, Sam Coppens, Thomas Steiner

If we want automated agents to consume the Web, they need to understand what a certain service does and how it relates to other services and data. The shortcoming of existing service description paradigms is their focus on technical aspects instead of the functional aspect—what task does a service perform, and is this a match for my needs? This pap…

Published on 2015

Linked Data and Linked APIs: Similarities, Differences, and Challenges

by Joaquim Gabarró Vallés, Rik Van de Walle, Ruben Verborgh, Thomas Steiner

In an often retweeted Twitter post, entrepreneur and software architect Inge Henriksen described the relation of Web 1.0 to Web 3.0 as: “Web 1.0 connected humans with machines. Web 2.0 connected humans with humans. Web 3.0 connects machines with machines.” On the one hand, an incredible amount of valuable data is described by billions of triples, m…

Published on 2015

PREMIS OWL

by Erik Mannens, Kevin Ford, Rebecca Guenther, Rik Van de Walle, Ruben Verborgh, Sam Coppens, Sébastien Peyrard, Tom Creighton

In this article, we present PREMIS OWL. This is a semantic formalisation of the PREMIS 2.2 data dictionary of the Library of Congress. PREMIS 2.2 are metadata implementation guidelines for digitally archiving information for the long term. Nowadays, the need for digital preservation is growing. A lot of the digital information produced merely a dec…

Published on 2015

Towards Approaches for Generating RDF Mapping Definitions

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Obtaining Linked Data by modeling domain-level knowledge derived from input data is not straightforward for data publishers, especially if they are not Semantic Web experts. Developing user interfaces that support domain experts to semantically annotate their data became feasible, as the mapping rules were abstracted from their execution. However, …

Published on 2015

Towards a Uniform User Interface for Editing Mapping Definitions

by Anastasia Dimou, Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Modeling domain knowledge as Linked Data is not straightforward for data publishers, because they are domain experts and not Semantic Web specialists. Most approaches that map data to its RDF representation still require users to have knowledge of the underlying implementations, as the mapping definitions remained, so far, tight to their execution.…

Published on 2015

Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital Comics

by Erik Mannens, Joachim Van Herwegen, Miel Vander Sande, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh, Tom De Nies, Wesley De Neve

Various methods are needed to extract information from current (digital) comics. Furthermore, the use of different (proprietary) formats by comic distribution platforms causes an overhead for authors. To overcome these issues, we propose a solution that makes use of the EPUB 3 specification, additionally leveraging the Open Web Platform to support …

Published on 2015

Merging and Enriching DCAT Feeds to Improve Discoverability of Datasets

by Erik Mannens, Pieter Colpaert, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Data Catalog Vocabulary (DCAT) is a W3C specification to describe datasets published on the Web. However, these catalogs are not easily discoverable based on a user’s needs. In this paper, we introduce the Node.js module "dcat-merger" which allows a user agent to download and semantically merge different DCAT feeds from the Web into one DCAT feed, …

Published on 2015

Linked Data-enabled Gamification in EPUB 3 for Educational Digital Textbooks

by Erik Mannens, Pieter Heyvaert, Rik Van de Walle, Ruben Verborgh

Interest in eLearning environments is constantly increasing, as well as in digital textbooks and gamification. The advantages of gamification in the context of education have been proven. However, gamified educational material, such as digital textbooks and digital systems, are scarce. As an answer to the need for such material, the framework GEL (…

Published on 2015

RESTdesc—A Functionality-Centered Approach to Semantic Service Description and Composition

by Davy Van Deursen, Erik Mannens, Joaquim Gabarró Vallés, Rik Van de Walle, Ruben Verborgh, Sam Coppens, Thomas Steiner

If we want automated agents to consume the Web, they need to understand what a certain service does and how it relates to other services and data. The shortcoming of existing service description paradigms is their focus on technical aspects instead of the functional aspect—what task does a service perform, and is this a match for my needs? This pap…

Published on 2012-05-27

Enabling context-aware multimedia annotation by a novel generic semantic problem-solving platform

by Chris Poppe, Davy Van Deursen, Erik Mannens, Rik Van de Walle, Ruben Verborgh

Automatic generation of metadata, facilitating the retrieval of multimedia items, potentially saves large amounts of manual work. However, the high specialization degree of feature extraction algorithms makes them unaware of the context they operate in, which contains valuable and often necessary information. In this paper, we show how Semantic Web…

Published on 2012

Enabling context-aware multimedia annotation by a novel generic semantic problem-solving platform

by Chris Poppe, Davy Van Deursen, Erik Mannens, Rik Van de Walle, Ruben Verborgh

Automatic generation of metadata, facilitating the retrieval of multimedia items, potentially saves large amounts of manual work. However, the high specialization degree of feature extraction algorithms makes them unaware of the context they operate in, which contains valuable and often necessary information. In this paper, we show how Semantic Web…

Published on 2011-01-07