Enayat Rajabi

An empirical study on the evaluation of interlinking tools on the Web of Data

The rise and widespread use of Linked Data has encouraged data providers to publish and link their content in order to classify and organize information in a useful fashion. Interlinking between datasets enhances data navigation and facilitates searching. As a result, the use of interlinking tools as a way of connecting data items to the Linked Open Data cloud has become more prevalent. In this paper, we examine the results obtained by three interlinking tools used to link a large educational collection to the Linked Open Data datasets. The generated output by the interlinking tools, which was later assessed by human experts, illustrates that data publishers can rely on current interlinking approaches and thus adopt them to connect their resources to the Web of Data. Our findings also provide evidence that two of these tools, namely Silk and LIMES, can be considered as the most promising.

Analyzing broken links on the web of data: An experiment with DBpedia

Linked open data allow interlinking and integrating any kind of data on the web. Links between various data sources play a key role insofar as they allow software applications (e.g., browsers, search engines) to operate over the aggregated data space as if it was a unique local database. In this new data space, where DBpedia, a data set including structured information from Wikipedia, seems to be the central hub, we analyzed and highlighted outgoing links from this hub in an effort to discover broken links. The paper reports on an experiment to examine the causes of broken links and proposes some treatments for solving this problem.

Interlinking educational data: an experiment with GLOBE resources

With the proliferation of educational materials on the Web of Data, interlinking learning resources has become an important issue nowadays. Interlinking datasets over Linked Open Data (LOD) enables enriching, enhances navigation, facilitates casual discovery, and improves resource seeking. To this aim, many tools, approaches and frameworks have been built to discover similarities between entities on the Web of Data. In this paper we evaluate interlinking approach on a huge educational resource (GLOBE) by applying two link discovery tools (LIMES and GoogleRefine). We also report the results of linking the GLOBE to the DBpedia and Factbook datasets and list the advantage of this interlinking process.

A linked and open dataset from a network of learning repositories on organic agriculture.

Exposing eLearning objects on the Web of Data leads to sharing and reusing of educational resources and improves the interoperability of data on the Web. Furthermore, it enriches e-learning content, as it is connected to other valuable resources using the Linked Data principles. This paper describes a study performed on the Organic.Edunet repository, as an e-learning portal in an agricultural context. In this research, we experiment with exposing the Organic. Edunet metadata as Linked Open Data and interlinking its contents to several relevant datasets on the Web. An analysis of the metadata and of the interlinking results is presented in this paper as well. [ABSTRACT FROM AUTHOR]

Discovering duplicate and related resources using an interlinking approach: The case of educational datasets

Linking a learning dataset to useful information on the Web of Data enriches its learning resources, as it enhances learners’ knowledge. This enrichment is usually achieved by creating links between datasets using the interlinking tools, which facilitate connecting any kind of data in a semi-automatic manner. This paper evaluates the interlinking results between an e-learning repository and several educational datasets on the Web of Data, which leads to enrichment of the contents. Many related resources were discovered during this experimentation already matched to the GLOBE learning objects. Furthermore, this research presents a data model to find similarity between two datasets and a workflow to identify the duplicate resources by performing a semi-automatic evaluation process. A case study was also assessed by human experts.

Adopting the metadata approach to improve the search and analysis of educational resources for online learning

Provides an empirical analysis of the largest collection of learning resource metadata.Describes new insights in how educational resources are classified and described.Discusses the empirical insights in the context of reuse and sharing of learning resources. The emergence of large collections of learning resources created through the harvesting and aggregation of metadata raises important concerns on the suitability of educational resource descriptions as provided in metadata schemas. For learning purposes, both teachers and students usually seek information on their own, and the vast majority of the search that they do in search engines like Google is driven by multiple keywords or classifications. Therefore this type of metadata-based learning resources could help them obtain better results related to the educational resources they are looking for and provide the basis for collaborative learning environments which enable knowledge sharing and reuse in terms of web-based search systems. This paper reports an exploratory study based on the availability and suitability of keywords and classifications in metadata-based educational resources to improve collaborative learning between teachers and students through the search and analysis of learning resources from a large sample obtained from the Global Learning Objects Brokered Exchange (GLOBE).

Linking a Community Platform to the Linked Open Data Cloud

Linked Data promises access to a vast amount of resources for learners and teachers. Various research projects have focused on providing educational resources as Linked Data. In many of these projects the focus has been on interoperability of metadata and on linking them into the linked data cloud. In this paper we focus on the community aspect. We start from the observation that sharing data is most valuable within communities of practice with common interests and goals, and community members are interested in suitable resources to be used in specific learning scenarios. The community of practice we are focusing on is an English language teaching and learning community, which we have been supporting through the LearnWeb2.0 platform for the last two years. We analyse the requirements of this specific community as a basis to enrich the current collected materials with open educational resources taken from the Linked Data Cloud. To this aim, we performed an interlinking approach in order to enrich the learning resources exposed as RDF (Resource Description Framework) in the LearnWeb2.0 platform with additional information taken from the Web.

Navigating through the Linking Open Data cloud datasets: Preliminary ideas of a visual search tool based on its defined domains.

The current increase in the publication of “Open Access” data has greatly facilitated the emergence of initiatives to provide users with information from different areas of expertise. Particularly, DBPedia has attracted the interest from several organizations and entities involved in the hosting, processing and display of large amounts of data, willing to openly share them. However, the vast amount of information presented today makes it necessary to provide more interfaces that facilitate this task, taking into account the peculiarities of this technology. The following article presents the results of evaluation of a visual interface prototype that facilitates search, display and visualization of organizations classified by their domain in the Linking Open Data (LOD) cloud.

Research Objects Interlinking: The Case of Dryad Repository

Interlinking research objects using the RDF links facilitates sharing and data discovery on the Web of Data. This works toward enriching the research repositories by linking their research artifacts to various scientific or even general data on the Web. In this paper, we experiment on an interlinking approach over Dryad, a research object repository, to a digital library dataset in the Linked Open Data cloud. We fetch data from both targets in different steps, run an interlinking tool and report as well as analyze the results. The generated outputs and assessed matched links show that interlinking a research dataset like Dryad to Web of Data brings an added value to the repository, as it connects its research artefacts to scientific objects of other datasets.

A Simple Approach towards SKOSification of Digital Repositories

Many knowledge organizations and digital repositories have leveraged different software to manage their taxonomies and thesauri. However, some of them do not have enough technical knowledge or experts to create complex structure e.g., OWL. On the other side, SKOS, as a simple language for classifying the knowledge organization systems e.g., thesauri, allows data to be distributed and composed on the Web of Data in a structured way. This short paper presents an approach to expose taxonomies, classification schemes and other types of vocabularies as SKOS by developing a mapping tool. It also visualizes the output in a graphical user interface in order to explore the vocabularies along with their relationships as well.