Too Many Links in the Horizon; What’s Next? Linked Views and Linked History

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Presented by Liarou Erietta and Stratos Idreos (CWI) at The 10th International Semantic Web Conference (ISWC 2011), October 23-27, 2011, Bonn, Germany. Publication: http://bit.ly/HmIRZV ABSTRACT: The trend for more online linked data becomes stronger. Foreseeing a future where "everything" will be online and linked, we ask the critical question; what is next? We envision that managing, query- ing and storing large amounts of links and data is far from yet another query processing task. We highlight two distinct and promising research directions towards managing and making sense of linked data. We introduce linked views to help focusing on specific link and data instances and linked history to help observe how links and data change over time.

Tecnología

Too Many Links in the Horizon;
What’s Next?
Linked Views and Linked History

Liarou Erietta and Stratos Idreos
CWI
Amsterdam, The Netherlands

ISWC 2011
Thursday, October 27, 2011

MAY

2007

Linking Open Data cloud diagram, http://lod-cloud.net/
Thursday, October 27, 2011

SEPT

2008

Linking Open Data cloud diagram, http://lod-cloud.net/
Thursday, October 27, 2011

JUL

2009

Linking Open Data cloud diagram, http://lod-cloud.net/
Thursday, October 27, 2011

SEPT

2010

As of September 2010

Linking Open Data cloud diagram, http://lod-cloud.net/
Thursday, October 27, 2011

SEPT

2011

As of September 2011

Linking Open Data cloud diagram, http://lod-cloud.net/
Thursday, October 27, 2011

SEPT

22011
021?

What’s Next?

As of September 2011

Linking Open Data cloud diagram, http://lod-cloud.net/
Thursday, October 27, 2011

“The knowledge itself is not powerful enough, but it further empowers only
those who have or can acquire the power to use it.” (Richard Lewontin, 1997)
Thursday, October 27, 2011

Data and Links Deluge

Challenges

• How to deal with so much data and so many links
• How to best exploit and make sense of the links
and data deluge

Thursday, October 27, 2011

Research Path 1

Thursday, October 27, 2011

Research Path 1

Linked Views

Thursday, October 27, 2011

Linked views

Thursday, October 27, 2011

Linked views

Knowledge hides better among big piles of data

Thursday, October 27, 2011

Linked views

• Dynamic, adaptive, personalized views of the Linked Data

• Different scientiﬁc points of view
• continue, reﬁne and expand the search
• browse views to be inspired

• Create views in a crowd-sourcing way

Thursday, October 27, 2011

Research Path 2

Thursday, October 27, 2011

Research Path 2

Linked History

Thursday, October 27, 2011

Linked History

Thursday, October 27, 2011

Linked History

x

x

Thursday, October 27, 2011

Linked History

x

x x

Thursday, October 27, 2011

Research Issues
• How can we create, store and maintain views
• full materialization will be impractical
• Who can access and modify an existing view?
• ideally we want to share and be inspired by others views
• Created by one, enriched by the crowd
• How can we store and maintain the history
• Efﬁcient queries on history
• naive search would lead to millions of joins
• New languages and standards
• Views and History should be accessible from the Web

Thursday, October 27, 2011

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The presentation was delivered by FORTH at the 3rd International Workshop on the role of Semantic Web in Provenance Management 2012 (SWPM2012) in Heraklion, Greece on 28th of May 2012. Abstract: Workflow systems can produce very large amounts of provenance information. In this paper we introduce provenance-based inference rules as a means to reduce the amount of provenance information that has to be stored, and to ease quality control (e.g., corrections). We motivate this kind of (provenance) inference and identify a number of basic inference rules over a conceptual model appropriate for representing provenance. The proposed inference rules concern the interplay between (i) actors and carried out activities, (ii) activities and devices that were used for such activities, and, (iii) the presence of information objects and physical things at events. However, since a knowledge base is not static but it changes over time for various reasons, we also study how we can satisfy change requests while supporting and respecting the aforementioned inference rules. Towards this end, we elaborate on the specification of the required change operations.

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This paper was presented by Vassilis Papakonstantinou at the 17th ACM Symposium on Access Control Models and Technologies (ACM SACMAT 2012) in Newark, USA, June 20 - 22, 2012. Abstract: The Resource Description Framework (RDF) has become the defacto standard for representing information in the Semantic Web. Given the increasing amount of sensitive RDF data available on the Web, it becomes increasingly critical to guarantee secure access to this content. In this paper we advocate the use of an abstract access control model to ensure the selective exposure of RDF information. The model is defined by a set of abstract operators. Tokens are used to label RDF triples with access information. Abstract operators model RDF Schema inference rules and propagation of labels along the RDF Schema (RDFS) class and property hierarchies. In this way, the access label of a triple is a complex expression that involves the labels of the triples and the operators applied to obtain said label. Different applications can then adopt different concrete access policies that encode an assignment of the abstract tokens and operators to concrete (specific) values. Following this approach, changes in the interpretation of abstract tokens and operators can be easily implemented resulting in a very flexible mechanism that allows one to easily experiment with different concrete access policies (defined per context or user). To demonstrate the feasibility of the approach, we implemented our ideas on top of the MonetDB and PostgreSQL open source database systems. We conducted an initial set of experiments which showed that the overhead for using abstract expressions is roughly linear to the number of triples considered; performance is also affected by the characteristics of the dataset, such as the size and depth of class and property hierarchies as well as the considered concrete policy.

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This talk was given by FORTH, Greece, at the European Data Forum (EDF) 2012 took place on June 6-7, 2012 in Copenhagen (Denmark) at the Copenhagen Business School (CBS). Abstract: Given the increasing amount of sensitive RDF data available on the Web, it becomes increasingly critical to guarantee secure access to this content. Access control is complicated when RDFS inference rules and other dependencies between access permissions of triples need to be considered; this is necessary, e.g., when we want to associate the access permissions of inferred triples with the ones that implied it. In this paper we advocate the use of abstract provenance models that are defined by means of abstract tokens operators to support fine grained access control for RDF graphs. The access label of a triple is a complex expression that encodes how said label was produced (i.e., the triples that contributed to its computation). This feature allows us to know exactly the effects of any possible change, thereby avoiding a complete recomputation of the labels when a change occurs. In addition, the same application can choose to enforce different access control policies or, different applications can enforce different policies on the same data, avoiding the recomputation of the label of a triple. Preliminary experiments have shown the applicability and benefits of our approach.

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The talk was given at the 15th International Conference on Extending Database Technology (EDBT 2012) on March 29, 2012 in Berlin, Germany. Abstract: Query optimization in RDF Stores is a challenging problem as SPARQL queries typically contain many more joins than equivalent relational plans, and hence lead to a large join order search space. In such cases, cost-based query optimization often is not possible. One practical reason for this is that statistics typically are missing in web scale setting such as the Linked Open Datasets (LOD). The more profound reason is that due to the absence of schematic structure in RDF, join-hit ratio estimation requires complicated forms of correlated join statistics; and currently there are no methods to identify the relevant correlations beforehand. For this reason, the use of good heuristics is essential in SPARQL query optimization, even in the case that are partially used with cost-based statistics (i.e., hybrid query optimization). In this paper we describe a set of useful heuristics for SPARQL query optimizers. We present these in the context of a new Heuristic SPARQL Planner (HSP) that is capable of exploiting the syntactic and the structural variations of the triple patterns in a SPARQL query in order to choose an execution plan without the need of any cost model. For this, we define the variable graph and we show a reduction of the SPARQL query optimization problem to the maximum weight independent set problem. We implemented our planner on top of the MonetDB open source column-store and evaluated its effectiveness against the state-of-the-art RDF-3X engine as well as comparing the plan quality with a relational (SQL) equivalent of the benchmarks.

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Too Many Links in the Horizon; What’s Next? Linked Views and Linked History

1. Too Many Links in the Horizon; What’s Next? Linked Views and Linked History Liarou Erietta and Stratos Idreos CWI Amsterdam, The Netherlands ISWC 2011 Thursday, October 27, 2011

2. MAY 2007 Linking Open Data cloud diagram, http://lod-cloud.net/ Thursday, October 27, 2011

3. SEPT 2008 Linking Open Data cloud diagram, http://lod-cloud.net/ Thursday, October 27, 2011

4. JUL 2009 Linking Open Data cloud diagram, http://lod-cloud.net/ Thursday, October 27, 2011

5. SEPT 2010 As of September 2010 Linking Open Data cloud diagram, http://lod-cloud.net/ Thursday, October 27, 2011

6. SEPT 2011 As of September 2011 Linking Open Data cloud diagram, http://lod-cloud.net/ Thursday, October 27, 2011

7. SEPT 22011 021? What’s Next? As of September 2011 Linking Open Data cloud diagram, http://lod-cloud.net/ Thursday, October 27, 2011

8. “The knowledge itself is not powerful enough, but it further empowers only those who have or can acquire the power to use it.” (Richard Lewontin, 1997) Thursday, October 27, 2011

9. “The knowledge itself is not powerful enough, but it further empowers only those who have or can acquire the power to use it.” (Richard Lewontin, 1997) Thursday, October 27, 2011

10. Data and Links Deluge Challenges • How to deal with so much data and so many links • How to best exploit and make sense of the links and data deluge Thursday, October 27, 2011

11. Research Path 1 Thursday, October 27, 2011

12. Research Path 1 Linked Views Thursday, October 27, 2011

13. Linked views Thursday, October 27, 2011

14. Linked views Knowledge hides better among big piles of data Thursday, October 27, 2011

15. Linked views • Dynamic, adaptive, personalized views of the Linked Data • Different scientiﬁc points of view • continue, reﬁne and expand the search • browse views to be inspired • Create views in a crowd-sourcing way Thursday, October 27, 2011

16. Research Path 2 Thursday, October 27, 2011

17. Research Path 2 Linked History Thursday, October 27, 2011

18. Linked History Thursday, October 27, 2011

19. Linked History Thursday, October 27, 2011

20. Linked History Thursday, October 27, 2011

21. Linked History Thursday, October 27, 2011

22. Linked History Thursday, October 27, 2011

23. Linked History Thursday, October 27, 2011

24. Linked History x x Thursday, October 27, 2011

25. Linked History x x x Thursday, October 27, 2011

26. Linked History x x x Thursday, October 27, 2011

27. Linked History x x x Thursday, October 27, 2011

28. Linked History x x x Thursday, October 27, 2011

29. Linked History x x x Thursday, October 27, 2011

30. Research Issues • How can we create, store and maintain views • full materialization will be impractical • Who can access and modify an existing view? • ideally we want to share and be inspired by others views • Created by one, enriched by the crowd • How can we store and maintain the history • Efﬁcient queries on history • naive search would lead to millions of joins • New languages and standards • Views and History should be accessible from the Web Thursday, October 27, 2011

31. Thank you! Thursday, October 27, 2011

Too Many Links in the Horizon; What’s Next? Linked Views and Linked History

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