Open Source project failure often stems from not setting clear objectives or having a shared vision from the start. That said there are many success stories, including two well known Statistical examples: Demetra; and Eurostat SDMX tools (SDMX-RI). However, in all these examples there was at first a founding organisation/entity that created the right environment for its successful path into a new paradigm. In the context of my presentation this being the Statistical Information System Collaboration Community (SIS-CC / http://siscc.oecd.org).
Presented at the International Marketing and Output DataBase Conference, Gozd Martuljek, September 18 - 22, 2016.
Open Data management is still not trivial nor sustainable - COMSODE results are here to bring automation to publication and management of Open Data in public institutions and companies. Presentation includes Open Data Ready standard proposal, three use cases and invitation for Horizon 2020 projects 2016.
Enabling Self-service Data Provisioning Through Semantic Enrichment of Data |...Ahmad Assaf
Publicly available datasets contain knowledge from various domains such as encyclopedic, government, geographic, entertainment and so on. The increasing diversity of these datasets makes it difficult to annotate them with a fixed number of pre-defined tags. Moreover, manually entered tags are subjective and may not capture their essence and breadth. We propose a mechanism to automatically attach meta information to data objects by leveraging knowledge bases like DBpedia and Freebase which facilitates data search and acquisition for business users.
Linked Open Data (LOD) has emerged as one of the largest collections of interlinked datasets on the web. In order to benefit from this mine of data, one needs to access to descriptive information about each dataset (or metadata). This metadata enables dataset discovery, understanding, integration and maintenance. Data portals, which are datasets' access points, offer metadata represented in different and heterogeneous models. We first propose a harmonized dataset model based on a systematic literature survey that enables complete metadata coverage to enable data discovery, exploration and reuse by business users. Second, rich metadata information is currently very limited to a few data portals where they are usually provided manually, thus being often incomplete and inconsistent in terms of quality. We propose a scalable automatic approach for extracting, validating, correcting and generating descriptive linked dataset profiles. This approach applies several techniques in order to check the validity of the metadata provided and to generate descriptive and statistical information for a particular dataset or for an entire data portal.
Traditional data quality is a thoroughly researched field with several benchmarks and frameworks to grasp its dimensions. Ensuring data quality in Linked Open Data is much more complex. It consists of structured information supported by models, ontologies and vocabularies and contains queryable endpoints and links. We propose an objective assessment framework for Linked Data quality based on quality metrics that can be automatically measured. We further present an extensible quality measurement tool implementing this framework that helps on one hand data owners to rate the quality of their datasets and get some hints on possible improvements, and on the other hand data consumers to choose their data sources from a ranked set.
Slides of the presentation by Hugh Williams of OpenLink Software in the course of the LOD2 webinar: Virtuoso Universal Server on 20.12. 2011 - for more information please see: http://lod2.eu/BlogPost/webinar-series
Open Source project failure often stems from not setting clear objectives or having a shared vision from the start. That said there are many success stories, including two well known Statistical examples: Demetra; and Eurostat SDMX tools (SDMX-RI). However, in all these examples there was at first a founding organisation/entity that created the right environment for its successful path into a new paradigm. In the context of my presentation this being the Statistical Information System Collaboration Community (SIS-CC / http://siscc.oecd.org).
Presented at the International Marketing and Output DataBase Conference, Gozd Martuljek, September 18 - 22, 2016.
Open Data management is still not trivial nor sustainable - COMSODE results are here to bring automation to publication and management of Open Data in public institutions and companies. Presentation includes Open Data Ready standard proposal, three use cases and invitation for Horizon 2020 projects 2016.
Enabling Self-service Data Provisioning Through Semantic Enrichment of Data |...Ahmad Assaf
Publicly available datasets contain knowledge from various domains such as encyclopedic, government, geographic, entertainment and so on. The increasing diversity of these datasets makes it difficult to annotate them with a fixed number of pre-defined tags. Moreover, manually entered tags are subjective and may not capture their essence and breadth. We propose a mechanism to automatically attach meta information to data objects by leveraging knowledge bases like DBpedia and Freebase which facilitates data search and acquisition for business users.
Linked Open Data (LOD) has emerged as one of the largest collections of interlinked datasets on the web. In order to benefit from this mine of data, one needs to access to descriptive information about each dataset (or metadata). This metadata enables dataset discovery, understanding, integration and maintenance. Data portals, which are datasets' access points, offer metadata represented in different and heterogeneous models. We first propose a harmonized dataset model based on a systematic literature survey that enables complete metadata coverage to enable data discovery, exploration and reuse by business users. Second, rich metadata information is currently very limited to a few data portals where they are usually provided manually, thus being often incomplete and inconsistent in terms of quality. We propose a scalable automatic approach for extracting, validating, correcting and generating descriptive linked dataset profiles. This approach applies several techniques in order to check the validity of the metadata provided and to generate descriptive and statistical information for a particular dataset or for an entire data portal.
Traditional data quality is a thoroughly researched field with several benchmarks and frameworks to grasp its dimensions. Ensuring data quality in Linked Open Data is much more complex. It consists of structured information supported by models, ontologies and vocabularies and contains queryable endpoints and links. We propose an objective assessment framework for Linked Data quality based on quality metrics that can be automatically measured. We further present an extensible quality measurement tool implementing this framework that helps on one hand data owners to rate the quality of their datasets and get some hints on possible improvements, and on the other hand data consumers to choose their data sources from a ranked set.
Slides of the presentation by Hugh Williams of OpenLink Software in the course of the LOD2 webinar: Virtuoso Universal Server on 20.12. 2011 - for more information please see: http://lod2.eu/BlogPost/webinar-series
http://lod2.eu/BlogPost/webinar-series
This webinar in the course of the LOD2 webinar series will present the release 3.0 of the LOD2 stack, which contains updates to
*) Virtuoso 7 [Openlink]: the original row store of the Virtuoso 6 universal server has now been replaced by a column store, increasing the performance of SPARQL queries significantly, the store is now up to three times as fast as the previous major version.
Linked Open Data Manager Suite [SWC]: the 'lodms' application allows the user to quickly set up pipelines for transforming linked data through the use of its many extensions. It also allows operations for extracting rdf from other types of data.
*) dbpedia-spotlight-ui [ULEI]: a graphical user interface component that allows the user to use a remote DBpedia spotlight instance to annotate a text with DBpedia concepts.
*) sparqlify [ULEI]: a scalable SPARQL-SQL rewriter, allowing you to query an SQL database as if it were a triple store.
*) SIREn [DERI]: a Lucene plugin that allows you to efficiently index and query RDF, as well as any textual document with an arbitrary amount of metadata fields.
*) CubeViz [ULEI]: CubeViz allows visualization of the Data Cube linked data representation of statistical data. It has support for the more advanced DataCube features, such as slices. It also allows the selection of a remote SPARQL endpoint and export of a modified cube.
*) R2R [UMA]: the R2R mapping API is now included directly into the lod2 demonstrator application, allowing users to experience the full effect of the R2R semantic mapping language through a graphical user interface.
*) ontowiki-csvimport [ULEI]: an OntoWiki extension that transforms CSV files to RDF. The extension can create Data Cubes that can be visualized by CubeViz.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
Presented by Peter Burnhill at e-Journals are forever? Preservation and Continuing Access to e-journal Content. A DPC, EDINA and JISC joint initiative, British Library, London, 26 April 2010.
The Next Generation Open Targets PlatformHelenaCornu
The next-generation version of the Open Targets Platform — the culmination of two years of work — is now officially live! It replaces our previous version, with a fresh new look, brand new features, and streamlined processes.
It is available at platform.opentargets.org
This presentation goes through the main changes to the Platform, and introduces the new Open Targets Community forum. Join now at community.opentargets.org.
Open Targets is an innovative, large-scale, multi-year, public-private partnership that uses human genetics and genomics data for systematic drug target identification and prioritisation. Find out more at opentargets.org
In the Open Data world we are encouraged to try to publish our data as “5-star” Linked Data because of the semantic richness and ease of integration that the RDF model offers. For many people and organisations this is a new world and some learning and experimenting is required in order to gain the necessary skills and experience to fully exploit this way of working with data. This workshop will re-assert the case for RDF and provide a guided tour of some examples of RDF publication that can act as a guide to those making a first venture into the field.
"Benchmarking of distributed linked data streaming systems" as presented in the Stream Reasoning Workshop 2018, January 16-17, 2018, held by Department of Informatics DDIS (University of Zurich) in Zurich, Suisse
This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
In this Webinar Lorenz Bühmann presents the ontology repair and enrichment tool ORE and also the DL-Learner , a machine learning tool to solve supervised learnings tasks and support knowledge engineers in constructing knowledge. Those two beneighbored tools in the LOD2 Stack are for classification and the following quality analysis of Linked Data.
LoCloud Micro Services and the Digitisation Workflowlocloud
LoCloud EVA / Minerva Workshop 2015
Workshop organised by LoCloud as part of XIIth Annual International Conference for Professionals in Cultural Heritage,
Presentation by Walter Koch
AIT-Angewandte Informationstechnik Forschungs GmbH, Graz - Austria
Jerusalem, Israel
8 November 2015
Presentation delivered by Ludo Hendrickx and Joris Beek on 11 December 2013 Dutch at the Ministry of Interior, The Hague, The Netherlands. More information on: https://joinup.ec.europa.eu/community/ods/description
(http://lod2.eu/BlogPost/webinar-series) In this Webinar Michael Martin presents CubeViz - a facetted browser for statistical data utilizing the RDF Data Cube vocabulary which is the state-of-the-art in representing statistical data in RDF. This vocabulary is compatible with SDMX and increasingly being adopted. Based on the vocabulary and the encoded Data Cube, CubeViz is generating a facetted browsing widget that can be used to filter interactively observations to be visualized in charts. Based on the selected structure, CubeViz offer beneficiary chart types and options which can be selected by users.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
http://lod2.eu/BlogPost/webinar-series
This webinar in the course of the LOD2 webinar series will present the release 3.0 of the LOD2 stack, which contains updates to
*) Virtuoso 7 [Openlink]: the original row store of the Virtuoso 6 universal server has now been replaced by a column store, increasing the performance of SPARQL queries significantly, the store is now up to three times as fast as the previous major version.
Linked Open Data Manager Suite [SWC]: the 'lodms' application allows the user to quickly set up pipelines for transforming linked data through the use of its many extensions. It also allows operations for extracting rdf from other types of data.
*) dbpedia-spotlight-ui [ULEI]: a graphical user interface component that allows the user to use a remote DBpedia spotlight instance to annotate a text with DBpedia concepts.
*) sparqlify [ULEI]: a scalable SPARQL-SQL rewriter, allowing you to query an SQL database as if it were a triple store.
*) SIREn [DERI]: a Lucene plugin that allows you to efficiently index and query RDF, as well as any textual document with an arbitrary amount of metadata fields.
*) CubeViz [ULEI]: CubeViz allows visualization of the Data Cube linked data representation of statistical data. It has support for the more advanced DataCube features, such as slices. It also allows the selection of a remote SPARQL endpoint and export of a modified cube.
*) R2R [UMA]: the R2R mapping API is now included directly into the lod2 demonstrator application, allowing users to experience the full effect of the R2R semantic mapping language through a graphical user interface.
*) ontowiki-csvimport [ULEI]: an OntoWiki extension that transforms CSV files to RDF. The extension can create Data Cubes that can be visualized by CubeViz.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
Presented by Peter Burnhill at e-Journals are forever? Preservation and Continuing Access to e-journal Content. A DPC, EDINA and JISC joint initiative, British Library, London, 26 April 2010.
The Next Generation Open Targets PlatformHelenaCornu
The next-generation version of the Open Targets Platform — the culmination of two years of work — is now officially live! It replaces our previous version, with a fresh new look, brand new features, and streamlined processes.
It is available at platform.opentargets.org
This presentation goes through the main changes to the Platform, and introduces the new Open Targets Community forum. Join now at community.opentargets.org.
Open Targets is an innovative, large-scale, multi-year, public-private partnership that uses human genetics and genomics data for systematic drug target identification and prioritisation. Find out more at opentargets.org
In the Open Data world we are encouraged to try to publish our data as “5-star” Linked Data because of the semantic richness and ease of integration that the RDF model offers. For many people and organisations this is a new world and some learning and experimenting is required in order to gain the necessary skills and experience to fully exploit this way of working with data. This workshop will re-assert the case for RDF and provide a guided tour of some examples of RDF publication that can act as a guide to those making a first venture into the field.
"Benchmarking of distributed linked data streaming systems" as presented in the Stream Reasoning Workshop 2018, January 16-17, 2018, held by Department of Informatics DDIS (University of Zurich) in Zurich, Suisse
This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
In this Webinar Lorenz Bühmann presents the ontology repair and enrichment tool ORE and also the DL-Learner , a machine learning tool to solve supervised learnings tasks and support knowledge engineers in constructing knowledge. Those two beneighbored tools in the LOD2 Stack are for classification and the following quality analysis of Linked Data.
LoCloud Micro Services and the Digitisation Workflowlocloud
LoCloud EVA / Minerva Workshop 2015
Workshop organised by LoCloud as part of XIIth Annual International Conference for Professionals in Cultural Heritage,
Presentation by Walter Koch
AIT-Angewandte Informationstechnik Forschungs GmbH, Graz - Austria
Jerusalem, Israel
8 November 2015
Presentation delivered by Ludo Hendrickx and Joris Beek on 11 December 2013 Dutch at the Ministry of Interior, The Hague, The Netherlands. More information on: https://joinup.ec.europa.eu/community/ods/description
(http://lod2.eu/BlogPost/webinar-series) In this Webinar Michael Martin presents CubeViz - a facetted browser for statistical data utilizing the RDF Data Cube vocabulary which is the state-of-the-art in representing statistical data in RDF. This vocabulary is compatible with SDMX and increasingly being adopted. Based on the vocabulary and the encoded Data Cube, CubeViz is generating a facetted browsing widget that can be used to filter interactively observations to be visualized in charts. Based on the selected structure, CubeViz offer beneficiary chart types and options which can be selected by users.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
Linked Data for the Masses: The approach and the SoftwareIMC Technologies
Title: Linked Data for the Masses: The approach and the Software
@ EELLAK (GFOSS) Conference 2010
Athens, Greece
15/05/2010
Creator: George Anadiotis (R&D Director)
Putting the L in front: from Open Data to Linked Open DataMartin Kaltenböck
Keynote presentation of Martin Kaltenböck (LOD2 project, Semantic Web Company) at the Government Linked Data Workshop in the course of the OGD Camp 2011 in Warsaw, Poland: Putting the L in front: from Open Data to Linked Open Data
The global need to securely derive (instant) insights, have motivated data architectures from distributed storage, to data lakes, data warehouses and lake-houses. In this talk we describe Tag.bio, a next generation data mesh platform that embeds vital elements such as domain centricity/ownership, Data as Products, Self-serve architecture, with a federated computational layer. Tag.bio data products combine data sets, smart APIs, statistical and machine learning algorithms into decentralized data products for users to discover insights using FAIR Principles. Researchers can use its point and click (no-code) system to instantly perform analysis and share versioned, reproducible results. The platform combines a dynamic cohort builder with analysis protocols and applications (low-code) to drive complex analysis workflows. Applications within data products are fully customizable via R and Python plugins (pro-code), and the platform supports notebook based developer environments with individual workspaces.
Join us for a talk/demo session on Tag.bio data mesh platform and learn how major pharma industries and university health systems are using this technology to promote value based healthcare, precision healthcare, find cures for disease, and promote collaboration (without explicitly moving data around). The talk also outlines Tag.bio secure data exchange features for real world evidence datasets, privacy centric data products (confidential computing) as well as integration with cloud services
As part of the final BETTER Hackathon, project partners prepared 4 hackathon exercises. Fraunhofer IAIS organised this exercise in conjunction with external partner MKLab ITI-CERTH (EOPEN project). This step-by-step exercise featured the setup of local Docker images on Linux OS featuring Dcoker Compose and (pre-installed) Python, SANSA, Hadoop, Apache Spark and Apache Zeppelin. It featured semantic transformation and and the use of SANSA (Scalable Semantic Analytics Stack - http://sansa-stack.net/) libraries on a sample of tweets ahead of geo-clustering.
Project website (Hackathon information): https://www.ec-better.eu/pages/2nd-hackathon
Github repository: https://github.com/ec-better/hackathon-2020-semanticgeoclustering
Open Data and Standard APIs learning material for iCOINS: Industry 4.0 competences for SMEs - Awareness raising tools - project. The iCOINS project aimed at developing common EU competences for raising awareness of SMEs on Industry 4.0 through an innovative Training Course. The primary target groups are VET teachers, trainers and mentors. Additionally, iCOINS serves the needs of SMEs staff, higher education staff and students, vocational institutions, vocational higher education institutions/teachers, public administration staff.
This presentation gives details on technologies and approaches towards exploiting Linked Data by building LD applications. In particular, it gives an overview of popular existing applications and introduces the main technologies that support implementation and development. Furthermore, it illustrates how data exposed through common Web APIs can be integrated with Linked Data in order to create mashups.
Knowledge graph use cases in natural language generationElena Simperl
Keynote talk at INLG (International Natural Language Generation Conference) & SIGDial (Special Interest Group on Discourse and Dialogue), September 2023
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
1. PlanetData: Consuming Structured
Data at Web Scale
Elena Simperl, Barry Norton, Karlsruhe Institute of Technology
1st International Symposium on Data-driven Process Discovery and Analysis
June 30, 2011, Campione d’Italia, Italy
2. PlanetData‘s Aim and Objectives
Aim: establish an interdisciplinary,
sustainable European community on
large-scale data management
◦ Purposeful data exposure
Databases
◦ Novel and improved applications
Data and
Semantics Web
Mining
• Objectives
◦ Addressing challenges through integrated research
◦ Data and technology provisioning through PlanetData Lab
◦ Impact through training, dissemination, standardization
and networking
◦ Openness and flexibility through PlanetData Programs
3. Work Plan Highlights
Methods and techniques to publish, access and manage stream-
like data
Quality assessment of interlinked data sets, including best
practices for the representation and usage of spatio-temporal
information
Provenance and access control framework for Linked (Stream)
Data
Data sets and vocabularies, including best practices for
publishing and managing self-descriptive data
Linked Services and Processes as an instrument to develop
applications
Yearly summer school co-located with the Extended Semantic
Web Conference
Semantic Web video journal
PlanetData Programs
8. Linked Data Cloud
Taken together Linked Data is said to form
a ‘cloud’ of shared references and
vocabularies
(growing on a weekly basis)
9. Linked Data Principles
1. Use URIs as names for things
2. Use HTTP URIs so that people can look up
those names.
3. When someone looks up a URI, provide useful
information, using the standards (RDF,
SPARQL)
4. Include links to other URIs, so that they can
discover more things.
Bring together semantic technologies and the
Web architecture
Applied to other types of data as well: stream-
like, multimedia…
11. Services Over Linked Data
A problem can be seen in the
current Linked Data sphere
when it comes to
services/APIs/functionalities
The standards are often not
then used
The results of service
interaction do not
contribute to the Linked
Data cloud
Developers have to work
with heterogeneous
representations RDF
12. RDF Services at the BBC
This is not a problem of scale, efficiency
or speed
RDF-based
communication
efficiently
realised using
memcached
04.08.201 Real-time updates to a large
0
(ferocious) audience
13. Linked Open Services
Aim to promote services over Linked Data
bringing together:
RESTful services (respecting Web
architecture)
◦ Resource-oriented
◦ Manipulated with HTTP verbs
GET, PUT (, PATCH), POST, DELETE
◦ Negotiate representations
Linked Data
◦ Uniform use of URIs
◦ Use of RDF and SPARQL
14. Linked Services: Principles
Concretely, Linked Open Services come with a
set of guiding principles:
1. Describe services as LOD prosumers
with input and output descriptions as SPARQL graph
patterns
2. Communicate RDF by RESTful content negotiation
3. Communicate and describe the knowledge
contribution resulting from service interaction,
including implicit knowledge relating input, output and
service provider
Associated with the last principle is an optional
fourth:
4. When wrapping non-LOS services, extend the (lifted,
if non-RDF) message to make explicit the implicit
knowledge, and to use Linked Data vocabularies, using
SPARQL CONSTRUCT queries
http://www.linkedopenservices.org/blog/?page_id=2
16. Linked Processes: Principles
In order to compose Linked Services we are
not specific about the style, except that RDF
must be stored and forwarded
Principles:
◦ Decide control flow conditions based on SPARQL
ASK queries
◦ Base iteration on SPARQL SELECT queries
◦ Define dataflow/mediation based on SPARQL
CONSTRUCT queries
In this way compositions, ‘mash-up’s, etc.,
also use the languages/technologies most
familiar to the Linked Data community
17. LOP Media Monitoring Process
A Social Media Manager is required to monitor
(micro)blogging sites and respond to negative comments:
10.08.2011
18. Composition Service 1
A service may monitor the ‘Twittersphere’ for tweets with a
given tag
Harvest
Input: {?t a sioc_t:Tag; rdfs:label ?l}
Output: {?p a sioc_t:MicroblogPost;
sioc:topic ?t;
sioc:has_creator ?m;
sioc:content ?c .
OPTIONAL {?p sioc:addressed_to ?a}}
10.08.2011
19. Composition Service 2
A sentiment analysis service may annotate (micro)blog posts
according to, e.g., the Human Emotion Ontology
AnalyseSentiment
Input: {?p a sioc:Post; sioc:content ?c}
Output: {?e a heo:Emotion;
heo:hasManifestationInMedia ?p;
heo:hasCategory ?c}
10.08.2011
20. Composition Service 3
A human service selects among possible combinations of
these and optionally raises a response
ManageMicroblog
Input: {?p a sioc_t:MicroblogPost;
sioc:has_creator ?m.
?e heo:hasManifestationInMedia ?p.
{?e heo:hasCategory heo:anger UNION
?e heo:hasCategory heo:disgust}}
Output: {OPTIONAL {?r a sioc_t:MicroblogPost;
sioc:addressed_to ?m}}
10.08.2011
22. http://www.planet-data.eu
Join PlanetData
Associate partners have
Access to open training infrastructure
Early access to ongoing PD results through
participation in PlanetData meetings
Opportunity to shape the results and topics of the
PD Programs through contribution of
requirements and use cases
PlanetData Programs call in 2012
