Analyzer: A Framework for File Analysis

Svoboda, Martin; Stárka, Jakub; Sochna, Jan; Schejbal, Jiří; Mlýnková, Irena

doi:10.1007/978-3-642-14589-6_23

Cited by 2 publications

(1 citation statement)

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“…Although existing approaches show promising ways of solving our problem, the combination of all named assumptions remains unsolved. For this purpose we not only want to propose novel techniques together with the prototype implementation, but we also want to harness characteristics of real-world data detected using Analyzer [24], our framework for robust analyses of documents on the Web.…”

Section: Resultsmentioning

confidence: 99%

Linked Data Indexing Methods: A Survey

Svoboda

Mlýnková

2011

On the Move to Meaningful Internet Systems: OTM 2011 Workshops

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Documents on the contemporary Web are based especially on HTML formats and, therefore, it is rather difficult to retrieve hidden structured information from them using automated agents. The concept of Linked Data based primarily on RDF data triples seems to successfully solve this drawback. However, we cannot directly adopt the existing solutions from relational databases or XML technologies, because RDF triples are modelled as graph data and not relational or tree data. Despite the research effort in recent years, several questions in the area of Linked Data indexing and querying remain open, not only since the amount of Linked Data globally available significantly increases each year. This paper attempts to introduce advantages and disadvantages of the state-of-the-art solutions and discuss several issues related to our ongoing research effort-the proposal of an efficient querying framework over Linked Data. In particular, our goal is to focus on large amounts of distributed and highly dynamic data.

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Section: Resultsmentioning

confidence: 99%