Category Archives: Research

Understanding Graph Structure of Wikipedia for Query Expansion

                Knowledge bases are very good sources for knowledge extraction, the ability to create knowledge from structured and unstructured sources and use it to improve automatic processes as query expansion. Wikipedia, in particular, … Continue reading

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Sparsity involved in SOMATCH EU project: bringing BI to SMEs of the fashion industry

We are glad to announce that Sparsity will take part of the SOMATCH EU project under the Horizon 2020 programme. The main objective of the project is the improvement of the competitiveness of European SMEs dedicated to fashion design and Textile … Continue reading

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Sparsity is the SME with the highest innovation capacity in Europe according to the European Commission

Sparsity Technologies is the SME with the highest innovation capacity in Europe according to European Commission’s first Innovation Radar (IR) Report published last week by the Joint Research Centre. The IR report is a support initiative that focuses on the identification … Continue reading

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Microblogging queries on graph databases

In the last edition of the GRADES Workshop co-located with SIGMOD/PODS Conference, a group of researchers from the RMIT University (Australia) presented the paper “Microblogging Queries on Graph Databases: An Introspection”. In this paper the authors shared their experience on executing … Continue reading

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Query Expansion by Exploiting Graph Properties for Image Retrieval

When searching images for a certain query, ambiguity problems may arise. For instance, when searching for the query “colored Volkswagen beetle” the most common search engines would retrieve some images with the famous car, but also the bug and even … Continue reading

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Scalable Community Detection on the Cloud: SCD made product

In our post Graph Databases research: Social community search we introduced the Scalable Community Detection (SCD) algorithm, born from the research work of the Sparksee team altogether with DAMA-UPC. The basic idea behind SCD is to search for the  number of transitive relations (triangles) and … Continue reading

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Graph Databases research: Social community search

We would like today to share an interesting article recently published at DZone’s portal about the research the Sparksee team altogether with DAMA-UPC is working on about social community search. Community search is a very important aspect of Social Network … Continue reading

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Graph Databases research: Using semijoins programs to solve traversal queries

One of the most important challenges for graph databases is how to express graph queries and how to solve them efficiently. There is an important gap between the current industrial approach with libraries of very efficient APIs for procedural languages as Java, … Continue reading

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Graph Databases research: Synthetic graph data generators

Sparsity Technologies is very interested not only in the graph database technology itself, but also in all the applications that can take advantage of Sparksee. One of the most popular ones is the analysis of social media data represented as … Continue reading

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Sparsity fuelled by research

Graph management and algorithmics are two of the hottest topics in top international data management conferences. As a by-product of some of the findings from those research topics, graph management technologies have flourished in the last 5 years. Sparksee (formerly … Continue reading

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