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- item-3 hasContent wouter-van-den-broeck.
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- 6 creator ansgar-scherp.
- 6 creator felix-schwagereit.
- 6 creator steffen-staab.
- 6 type InProceedings.
- 6 label "Representing Distributed Groups with dgFOAF".
- 6 sameAs 6.
- 6 abstract "Managing one''s memberships in different online communities more and more becomes a cumbersome task. This is due to the rapidly increasing number of communities in which we participate such as professional networks, sports clubs, and groups with specific interests like hobbies and others. In addition, these communities are scattered and distributed over multiple systems, i.e., different community platforms that each require a distinct user account. They also have different user interfaces and different definitions of communities and groups. In this paper, we present dgFOAF, an approach for distributed group management based on the well known Friend-of-a-Friend (FOAF) vocabulary. Our dgFOAF approach is independent of the concrete community platforms we find today and needs no central server. Thus it allows for defining communities that span across multiple systems and thus alleviates the community administration task.".
- 6 hasAuthorList authorList.
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- 6 keyword "FOAF".
- 6 keyword "distributed groups".
- 6 keyword "online community".
- 6 title "Representing Distributed Groups with dgFOAF".
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- 17 creator giovanni-tummarello.
- 17 creator michele-catasta.
- 17 creator nickolai-toupikov.
- 17 creator renaud-delbru.
- 17 creator stefan-decker.
- 17 type InProceedings.
- 17 label "Hierarchical Link Analysis for Ranking Web Data".
- 17 sameAs 17.
- 17 abstract "On the Web of Data, entities are often interconnected in a way similar to web documents. Previous works have shown how PageRank can be adapted to achieve entity ranking. In this paper, we propose to exploit locality on the Web of Data by taking a layered approach, similar to hierarchical PageRank approaches. We provide justifications for a two-layer model of the Web of Data, and introduce DING (Dataset Ranking) a novel ranking methodology based on this two-layer model. DING uses links between datasets to compute dataset ranks and combines the resulting values with semantic-dependent entity ranking strategies. We quantify the effectiveness of the approach with other link-based algorithms on large datasets coming from the Sindice search engine. The evaluation which includes a user study indicates that the resulting rank is better than the other approaches. Also, the resulting algorithm is shown to have desirable computational properties such as parallelisation.".
- 17 hasAuthorList authorList.
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- 17 keyword "Data Locality".
- 17 keyword "Hierarchical Link Analysis".
- 17 keyword "Web of Data".
- 17 keyword "Weighted PageRank".
- 17 title "Hierarchical Link Analysis for Ranking Web Data".
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- item-1 hasContent renaud-delbru.
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- 18 creator giovanni-tummarello.
- 18 creator michele-catasta.
- 18 creator nickolai-toupikov.
- 18 creator renaud-delbru.
- 18 type InProceedings.
- 18 label "A Node Indexing Scheme for Web Entity Retrieval".
- 18 sameAs 18.
- 18 abstract "Now motivated also by the partial support of major search engines, hundreds of millions of documents are being published on the web embedding semi-structured data in RDF, RDFa and Microformats. This scenario calls for novel information search systems which provide effective means of retrieving relevant semi-structured information. In this paper, we present an ``entity retrieval system'''' designed to provide entity search capabilities over datasets as large as the entire Web of Data. Our system supports full-text search, semi-structural queries and top-k query results while exhibiting a concise index and efficient incremental updates. We advocate the use of a node indexing scheme and show that it offers a good compromise between query expressiveness, query processing time and update complexity in comparison to three other indexing techniques. We then demonstrate how such system can effectively answer queries over 10 billion triples on a single commodity machine.".
- 18 hasAuthorList authorList.
- 18 isPartOf proceedings.
- 18 keyword "Entity Retrieval".
- 18 keyword "Information Search".
- 18 keyword "Inverted Index".