Mazen Alsarem

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von Mazen Alsarem: The advances of the Linked Open Data (LOD) initiative are giving rise to a more structured Web of data. Indeed, a few datasets act as hubs (e.g., DBpedia) connecting many other datasets. They also made possible new Web services for entity detection inside plain text (e.g., DBpedia Spotlight), thus allowing for new applications that can(More)
In our knowledge-driven society, the acquisition and the transfer of knowledge play a principal role. Web search engines are somehow tools for knowledge acquisition and transfer from the web to the user. The search engine results page (SERP) consists mainly of a list of links and snippets (excerpts from the results). The snippets are used to express, as(More)
Using Linked Data for improving information retrieval is becoming an important field of research, especially with the widespread use of semantic search engines. In this paper we propose using the Linked Data for improving user satisfaction during his interactions with an IR system. We want to provide the users with more intelligent snippets. In order to(More)
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(More)
The advances of the Linked Open Data (LOD) initiative are giving rise to a more structured web of data. A few datasets act as hubs (e.g., DBpedia) connecting many other datasets. They also make possible new web services for entity detection inside plain text (e.g., DBpedia Spotlight), thus allowing for new applications that will benefit from a combination(More)
The advances of the Linked Open Data (LOD) initiative are giving rise to a more structured Web of data. Indeed, a few datasets act as hubs (e.g., DBpedia) connecting many other datasets. They also made possible new Web services for entity detection inside plain text (e.g., DBpedia Spotlight), thus allowing for new applications that will benefit from a(More)
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