Network of Excellence in Internet Science Network of Excellence in Internet Science (EINS) 2 nd REVIEW Brussels, 4-5 February 2014 FP7-ICT EINS JRA3: Evidence and Expermentation Federico Morando (NEXA) Thanassis Tiropanis (SOTON)

2nd EINS Review, Brussels, 4-5 February 2014 WP Vision  Develop a knowledge community involved in identifying, assessing and providing a repository of the set of tools and methodologies to measure and adequately represent  Internet data (Metrology) and  information (Mediametry) traffic, as well as  the existing available platforms (Experimentation), including social-beds.  Broader the involvement and outreach beyond the core original Computer Science base JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements  Initiated knowledge base of Internet Science methods and tools.  Liaison with the Web Science community on synergies on the evidence base (ACM WebSci13 workshop)  Calibration of and refocusing of JRA3 effort given the recent developments in the area aiming for:  Tangible outcomes  Online resources  Community building  An online community actively engaging in the identification and collection of datasets, methods and tools for Internet Science  Initial version of online resource for an Internet Science evidence base ( JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements – Evidence base portal JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements – Evidence base portal JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements - Network Traffic Repository  Goal: To create a traffic repository where researchers use and share network traces  Different approach: Distributed storage  Research institutions provide storage resources  Cooperation: To increase storage space  Reliability: Data is replicated among contributors  Move from a classic centralized approach to a cloud approach  Further step is to provide computing resources, not just storage: Hadoop apps JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements - Network Traffic Repository  UAM organizes and administers the cloud  Users register through a webpage  The repository looks like an UNIX filesystem  User/group permissions allow for restricting access to traces  All users have access to a public area (traces examples etc…)  Access via Web (WebDAV) HDFS API Locally mounting the filesystem (HDFS-Fuse) JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements - Network Traffic Repository  Distributed file system HDFS  Each research institution provides datanodes JRA3 Institution 1Institution 2

2nd EINS Review, Brussels, 4-5 February 2014 Achievements - Schemas There are no standards for publishing datasets Everyone uses a proprietary description format E.g. snap.stanford.edu/data, konect.uni- koblenz.de/downloads/#full_datasets In domains such as bioinformatics, medical reports, etc., there are more widely accepted ontologies, which are used as schemas There are a lot of links in the LOD cloud, but for a particular application context you need to realize the mappings you need; this is challenging Our approach Use Microdata markup and vocabularies When we lack a taxonomy or to inform taxonomies we use DBpedia other taxonomies (e.g. ACM taxonomy) JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements - Schemas Microdata Basics Microdata is a simple semantic markup scheme that’s an alternative to RDFa Developed by WHATWG and supported by major search companies (Google, MSFT, Yahoo) Like RDFa, it uses HTML tag attributes to host metadata Vocabularies are controlled and hosted at schema.org Using Microdata The microdata effort has two parts: markup and a set of vocabularies The markup is similar to RDFa in that it provides a way to identify subjects, types, properties and objects The sanctioned vocabularies are found at schema.org and include a small number of very useful ones: people, movies, etc. JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements – Schemas JRA3 Avatar Director: James Cameron (born 1954) Science fiction <a href =”avatar- trailer.html ">Trailer An itemscope attribute identifies a content subtree that is the subject about which we want to say something The itemtype attribute specifies the subject’s type An itemprop attribute gives a property of that type Avatar Director: James Cameron (born 1954) Science fiction Trailer

2nd EINS Review, Brussels, 4-5 February 2014 Achievements - DBpedia-based taxonomy  Classification of collected Internet Science resources using Dbpedia categories  DBpedia categories mined using the extraction/classification software TellMeFirst using the textual description of each tool/dataset/infrastructure): – online demo is available at – the process may be further automated JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements - DBpedia-based taxonomy  Examples of mined categories: – Category:Network_analyzers, Category:Data_management, Category:Bots,Category:Web_application _frameworks, Category:Computer_benchmarks, Category:Wireless_sensor_network, Category:Virtualization_software JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Achievements – Schemas JRA3 schema.org vocabularies Thing::CreativeWork::Dataset  Properties from Thing  additionalType (typeof Dbpedia categories, etc.)  alternateName  description  image  name  sameAs (original site or wikipedia entry)  url  Properties from Dataset  catalog  distribution  spatial  temporal Properties from CreativeWork (subset) –about –audience (or scientific community) –author –award –awards –citation –contributor –copyrightHolder –copyrightYear –creator –dateCreated –dateModified –datePublished –keywords (e.g. from ACM taxonomy) –version

2nd EINS Review, Brussels, 4-5 February 2014 Achievements  These achievements are inline with the activities R3.2 and R3.3 under the revised plan  Online experimental and empirical evidence base (e.g. portal and repository)  Setting up a multidisciplinary dialogue (e.g. ACM WebSci13 workshop)  Workshop co-located with the Web Science Community advanced interdisciplinary dialogue and agenda setting in terms of experimentation base  We already have a vibrant community engaging in providing an online evidence base JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Links with other activities  Working with JRA1 and JRA2 as the third link in the process: theory, methodology, experimentation  Collaboration with JRA2 on sharing experiences for online catalogues and repositories – possible integration in the future  Collaboration with JRA1, JRA2 & JRA4 on net neutrality, and JRA5 & JRA6 on open data as a case of examining network measurements methods and tools from an interdisciplinary viewpoint  Collaboration with JRA8 on evidence base for sustainability of the Future Internet JRA3

2nd EINS Review, Brussels, 4-5 February 2014 JRA Challenges: Input to Internet Science Roadmap  The datasets, tools and methods for Internet Science are scattered across repositories used within individual disciplines.  Providing harmonized access to those resources is essential for Internet Scientists.  A scalable and sustainable online resource for Internet Science research is needed.  Bootstrapping this activity involves  Online catalogues and repositories.  Interdisciplinary dialogue forums.  Dialogue with other interdisciplinary areas. JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Future Steps  Enhancing the online evidence base and provision of community engagement mechanisms  Repository for network traffic datasets contributed and shared by the community  Multi/Inter-disciplinary dialogue forum on:  Network measurement methods and tools (with application on net neutrality)  Data quality assessment (with application on open data repositories) JRA3

2nd EINS Review, Brussels, 4-5 February 2014 Conclusions  The JRA met is objectives and performed significant work in terms of community building  Joint workshops with other interdisciplinary areas  Foundation of evidence base  In light of recent developments in e- Infrastructures and repositories it has re-scoped its activity.  It has already delivered significant tangible outcomes in terms of an online evidence base. JRA3