I don't understand, is this just another project built on DBPedia, or a project to replace DBPedia entirely?

Are you a DBPedia maintainer?

I don't understand, is this just another project built on DBPedia, or a project to replace DBPedia entirely? Are you a DBPedia maintainer? Sent: Tuesday, May 08, 2018 at 1:29 PM From: "Sebastian Hellmann" <hellmann(a)informatik.uni-leipzig.de> To: "Discussion list for the Wikidata project." <wikidata(a)lists.wikimedia.org> Subject: [Wikidata] DBpedia Databus (alpha version) DBpedia Databus (alpha version) The DBpedia Databus is a platform that allows to exchange, curate and access data between multiple stakeholders. Any data entering the bus will be versioned, cleaned, mapped, linked and its licenses and provenance tracked. Hosting in multiple formats will be provided to access the data either as dump download or as API. Data governance stays with the data contributors. Vision Working with data is hard and repetitive. We envision a hub, where everybody can upload data and then useful operations like versioning, cleaning, transformation, mapping, linking, merging, hosting is done automagically on a central communication system (the bus) and then dispersed again in a decentral network to the consumers and applications. On the databus, data flows from data producers through the platform to the consumers (left to right), any errors or feedback flows in the opposite direction and reaches the data source to provide a continuous integration service and improve the data at the source. Open Data vs. Closed (paid) Data We have studied the data network for 10 years now and we conclude that organisations with open data are struggling to work together properly, although they could and should, but are hindered by technical and organisational barriers. They duplicate work on the same data. On the other hand, companies selling data can not do so in a scalable way. The loser is the consumer with the choice of inferior open data or buying from a djungle-like market. Publishing data on the databus If you are grinding your teeth about how to publish data on the web, you can just use the databus to do so. Data loaded on the bus will be highly visible, available and queryable. You should think of it as a service: Visibility guarantees, that your citations and reputation goes up Besides a web download, we can also provide a Linked Data interface, SPARQL endpoint, Lookup (autocomplete) or many other means of availability (like AWS or Docker images) Any distribution we are doing will funnel feedback and collaboration opportunities your way to improve your dataset and your internal data quality You will receive an enriched dataset, which is connected and complemented with any other available data (see the same folder names in data and fusion folders). Data Sellers If you are selling data, the databus provides numerous opportunities for you. You can link your offering to the open entities in the databus. This allows consumers to discover your services better by showing it with each request. Data Consumers Open data on the databus will be a commodity. We are greatly downing the cost for understanding the data, retrieving and reformatting it. We are constantly extending ways of using the data and are willing to implement any formats and APIs you need. If you are lacking a certain kind of data, we can also scout for it and load it onto the databus. How the Databus works at the moment We are still in an initial state, but we already load 10 datasets (6 from DBpedia, 4 external) on the bus using these phases: Acquisition: data is downloaded from the source and logged in Conversion: data is converted to N-Triples and cleaned (Syntax parsing, datatype validation and SHACL) Mapping: the vocabulary is mapped on the DBpedia Ontology and converted (We have been doing this for Wikipedia’s Infoboxes and Wikidata, but now we do it for other datasets as well) Linking: Links are mainly collected from the sources, cleaned and enriched IDying: All entities found are given a new Databus ID for tracking Clustering: ID’s are merged onto clusters using one of the Databus ID’s as cluster representative Data Comparison: Each dataset is compared with all other datasets. We have an algorithm that decides on the best value, but the main goal here is transparency, i.e. to see which data value was chosen and how it compares to the other sources. A main knowledge graph fused from all the sources, i.e. a transparent aggregate For each source, we are producing a local fused version called the “Databus Complement”. This is a major feedback mechanism for all data providers, where they can see what data they are missing, what data differs in other sources and what links are available for their IDs. You can compare all data via a webservice (early prototype, just works for Eiffel Tower): http://88.99.242.78:9000/?s=http%3A%2F%2Fid.dbpedia.org%2Fglobal%2F12HpzV&a… We aim for a real-time system, but at the moment we are doing a monthly cycle. Is it free? Maintaining the Databus is a lot of work and servers incurring a high cost. As a rule of thumb, we are providing everything for free that we can afford to provide for free. DBpedia was providing everything for free in the past, but this is not a healthy model, as we can neither maintain quality properly, nor grow. On the Databus everything is provided “As is” without any guarantees or warranty. Improvements can be done by the volunteer community. The DBpedia Association will provide a business interface to allow guarantees, major improvements, stable maintenance and hosting. License Final databases are licensed under ODC-By. This covers our work on recomposition of data. Each fact is individually licensed, e.g. Wikipedia abstracts are CC-BY-SA, some are CC-BY-NC, some are copyrighted. This means that data is available for research, informational and educational purposes. We recommend to contact us for any professional use of the data (clearing), so we can guarantee that legal matters are handled correctly. Otherwise professional use is at own risk. Current Stats Download The databus data is available at http://downloads.dbpedia.org/databus/[http://downloads.dbpedia.org/databus/] ordered into three main folders: Data: the data that is loaded on the databus at the moment Global: a folder that contains provenance data and the mappings to the new IDs Fusion: the output of the databus Most notably you can find: Provenance mapping of the new ids in global/persistence-core/cluster-iri-provenance-ntriples/[http://downloads.d… and global/persistence-core/global-ids-ntriples/[http://downloads.dbpedia.org/d… The final fused version for the core: fusion/core/fused/[http://downloads.dbpedia.org/databus/fusion/core/fused/] A detailed JSON-LD file for data comparison: fusion/core/json/[http://downloads.dbpedia.org/databus/fusion/core/json/] Complements, i.e. the enriched Dutch DBpedia Version: fusion/core/nl.dbpedia.org/[http://downloads.dbpedia.org/databus/fusion/cor… (Note that the file and folder structure are still subject to change) Sources Glue Source Target Amount de.dbpedia.org[http://de.dbpedia.org/] www.viaf.org[http://www.viaf.org/] 387,106 diffbot.com[http://diffbot.com/] www.wikidata.org[http://www.wikidata.org/] 516,493 d-nb.info[http://d-nb.info/] viaf.org[http://viaf.org/] 5,382,783 d-nb.info[http://d-nb.info/] dbpedia.org[http://dbpedia.org/] 80,497 d-nb.info[http://d-nb.info/] sws.geonames.org[http://sws.geonames.org/] 50,966 fr.dbpedia.org[http://fr.dbpedia.org/] www.viaf.org[http://www.viaf.org/] 266 sws.geonames.org[http://sws.geonames.org/] dbpedia.org[http://dbpedia.org/] 545,815 kb.nl[http://kb.nl/] viaf.org[http://viaf.org/] 2,607,255 kb.nl[http://kb.nl/] www.wikidata.org[http://www.wikidata.org/] 121,012 kb.nl[http://kb.nl/] dbpedia.org[http://dbpedia.org/] 37,676 www.wikidata.org[http://www.wikidata.org/] https://permid.org[https://permid.org/] 5,133 wikidata.dbpedia.org[http://wikidata.dbpedia.org/] www.wikidata.org[http://www.wikidata.org/] 45,344,233 wikidata.dbpedia.org[http://wikidata.dbpedia.org/] sws.geonames.org[http://sws.geonames.org/] 3,495,358 wikidata.dbpedia.org[http://wikidata.dbpedia.org/] viaf.org[http://viaf.org/] 1,179,550 wikidata.dbpedia.org[http://wikidata.dbpedia.org/] d-nb.info[http://d-nb.info/] 601,665 Plan for the next releases Include more existing data from DBpedia Renew all DBpedia releases in a separate fashion: DBpedia Wikidata is running already: http://78.46.100.7/wikidata/[http://78.46.100.7/wikidata/] Basic extractors like infobox properties and mapping will be active soon Text extraction will take a while Load all data in the comparison tool: http://88.99.242.78:9000/?s=http%3A%2F%2Fid.dbpedia.org%2Fglobal%2F12HpzV&a… Load all data into a SPARQL endpoint Create a simple open source software that let’s everybody push data on the databus in an automated way _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata[https://lists.wikimed… _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata

So, in short, DBPedia is turning into a business with a "community edition + enterprise edition" kind of model?

Sent: Tuesday, May 08, 2018 at 2:29 PM From: "Sebastian Hellmann" &lt;hellmann(a)informatik.uni-leipzig.de&gt; To: "Discussion list for the Wikidata project" &lt;wikidata(a)lists.wikimedia.org&gt;rg>, "Laura Morales" &lt;lauretas(a)mail.com&gt; Subject: Re: [Wikidata] DBpedia Databus (alpha version) Hi Laura, I don't understand, is this just another project built on DBPedia, or a project to replace DBPedia entirely? a valid question. DBpedia is quite decentralised and hard to understand in its entirety. So actually some parts are improved and others will be replaced eventually (also an improvement, hopefully). The main improvement here is that, we don't have  large monolithic releases that take forever anymore. Especially the language chapters and also the professional community can work better with the "platform" in terms of turnaround, effective contribution and also incentives for contribution. Another thing that will hopefully improve is that we can more sustainably maintain contributions and add-ons, which were formerly lost between releases. So the structure and processes will be clearer. The DBpedia in the "main endpoint" will still be there, but in a way that nl.dbpedia.org/sparql or wikidata.dbpedia.org/sparql is there. The new hosted service will be more a knowledge graph of knowledge graph, where you can get either all information in a fused way or you can quickly jump to the sources, compare and do improvements there. Projects and organisations can also upload their data to query it there themselves or share it with others and persist it. Companies can sell or advertise their data. The core consists of the Wikipedia/Wikidata data and we hope to be able to improve it and also send contributors and contributions back to the Wikiverse. Are you a DBPedia maintainer? Yes, I took it as my task to talk to everybody in the community over the last year and draft/aggregate the new strategy and innovate. All the best, Sebastian On 08.05.2018 13:42, Laura Morales wrote: I don't understand, is this just another project built on DBPedia, or a project to replace DBPedia entirely? Are you a DBPedia maintainer? Sent: Tuesday, May 08, 2018 at 1:29 PM From: "Sebastian Hellmann" <hellmann@informatik.uni-leipzig.de>[mailto:hellmann@informatik.uni-leipzig.de] To: "Discussion list for the Wikidata project." <wikidata@lists.wikimedia.org>[mailto:wikidata@lists.wikimedia.org] Subject: [Wikidata] DBpedia Databus (alpha version) DBpedia Databus (alpha version) The DBpedia Databus is a platform that allows to exchange, curate and access data between multiple stakeholders. Any data entering the bus will be versioned, cleaned, mapped, linked and its licenses and provenance tracked. Hosting in multiple formats will be provided to access the data either as dump download or as API. Data governance stays with the data contributors. Vision Working with data is hard and repetitive. We envision a hub, where everybody can upload data and then useful operations like versioning, cleaning, transformation, mapping, linking, merging, hosting is done automagically on a central communication system (the bus) and then dispersed again in a decentral network to the consumers and applications. On the databus, data flows from data producers through the platform to the consumers (left to right), any errors or feedback flows in the opposite direction and reaches the data source to provide a continuous integration service and improve the data at the source. Open Data vs. Closed (paid) Data We have studied the data network for 10 years now and we conclude that organisations with open data are struggling to work together properly, although they could and should, but are hindered by technical and organisational barriers. They duplicate work on the same data. On the other hand, companies selling data can not do so in a scalable way. The loser is the consumer with the choice of inferior open data or buying from a djungle-like market. Publishing data on the databus If you are grinding your teeth about how to publish data on the web, you can just use the databus to do so. Data loaded on the bus will be highly visible, available and queryable. You should think of it as a service: Visibility guarantees, that your citations and reputation goes up Besides a web download, we can also provide a Linked Data interface, SPARQL endpoint, Lookup (autocomplete) or many other means of availability (like AWS or Docker images) Any distribution we are doing will funnel feedback and collaboration opportunities your way to improve your dataset and your internal data quality You will receive an enriched dataset, which is connected and complemented with any other available data (see the same folder names in data and fusion folders). Data Sellers If you are selling data, the databus provides numerous opportunities for you. You can link your offering to the open entities in the databus. This allows consumers to discover your services better by showing it with each request. Data Consumers Open data on the databus will be a commodity. We are greatly downing the cost for understanding the data, retrieving and reformatting it. We are constantly extending ways of using the data and are willing to implement any formats and APIs you need. If you are lacking a certain kind of data, we can also scout for it and load it onto the databus. How the Databus works at the moment We are still in an initial state, but we already load 10 datasets (6 from DBpedia, 4 external) on the bus using these phases: Acquisition: data is downloaded from the source and logged in Conversion: data is converted to N-Triples and cleaned (Syntax parsing, datatype validation and SHACL) Mapping: the vocabulary is mapped on the DBpedia Ontology and converted (We have been doing this for Wikipedia’s Infoboxes and Wikidata, but now we do it for other datasets as well) Linking: Links are mainly collected from the sources, cleaned and enriched IDying: All entities found are given a new Databus ID for tracking Clustering: ID’s are merged onto clusters using one of the Databus ID’s as cluster representative Data Comparison: Each dataset is compared with all other datasets. We have an algorithm that decides on the best value, but the main goal here is transparency, i.e. to see which data value was chosen and how it compares to the other sources. A main knowledge graph fused from all the sources, i.e. a transparent aggregate For each source, we are producing a local fused version called the “Databus Complement”. This is a major feedback mechanism for all data providers, where they can see what data they are missing, what data differs in other sources and what links are available for their IDs. You can compare all data via a webservice (early prototype, just works for Eiffel Tower): http://88.99.242.78:9000/?s=http%3A%2F%2Fid.dbpedia.org%2Fglobal%2F12HpzV&a… We aim for a real-time system, but at the moment we are doing a monthly cycle. Is it free? Maintaining the Databus is a lot of work and servers incurring a high cost. As a rule of thumb, we are providing everything for free that we can afford to provide for free. DBpedia was providing everything for free in the past, but this is not a healthy model, as we can neither maintain quality properly, nor grow. On the Databus everything is provided “As is” without any guarantees or warranty. Improvements can be done by the volunteer community. The DBpedia Association will provide a business interface to allow guarantees, major improvements, stable maintenance and hosting. License Final databases are licensed under ODC-By. This covers our work on recomposition of data. Each fact is individually licensed, e.g. Wikipedia abstracts are CC-BY-SA, some are CC-BY-NC, some are copyrighted. This means that data is available for research, informational and educational purposes. We recommend to contact us for any professional use of the data (clearing), so we can guarantee that legal matters are handled correctly. Otherwise professional use is at own risk. Current Stats Download The databus data is available at http://downloads.dbpedia.org/databus/[http://downloads.dbpedia.org/databus/… ordered into three main folders: Data: the data that is loaded on the databus at the moment Global: a folder that contains provenance data and the mappings to the new IDs Fusion: the output of the databus Most notably you can find: Provenance mapping of the new ids in global/persistence-core/cluster-iri-provenance-ntriples/[http://downloads.d… and global/persistence-core/global-ids-ntriples/[http://downloads.dbpedia.org/d… The final fused version for the core: fusion/core/fused/[http://downloads.dbpedia.org/databus/fusion/core/fused/[… A detailed JSON-LD file for data comparison: fusion/core/json/[http://downloads.dbpedia.org/databus/fusion/core/json/[ht… Complements, i.e. the enriched Dutch DBpedia Version: fusion/core/nl.dbpedia.org/[http://downloads.dbpedia.org/databus/fusion/cor… (Note that the file and folder structure are still subject to change) Sources Glue Source Target Amount de.dbpedia.org[http://de.dbpedia.org/[http://de.dbpedia.org/]]www.viaf.org[… 387,106 diffbot.com[http://diffbot.com/[http://diffbot.com/]]www.wikidata.org[http:… 516,493 d-nb.info[http://d-nb.info/[http://d-nb.info/]] viaf.org[http://viaf.org/[http://viaf.org/]] 5,382,783 d-nb.info[http://d-nb.info/[http://d-nb.info/]] dbpedia.org[http://dbpedia.org/[http://dbpedia.org/]] 80,497 d-nb.info[http://d-nb.info/[http://d-nb.info/]] sws.geonames.org[http://sws.geonames.org/[http://sws.geonames.org/]] 50,966 fr.dbpedia.org[http://fr.dbpedia.org/[http://fr.dbpedia.org/]]www.viaf.org[… 266 sws.geonames.org[http://sws.geonames.org/[http://sws.geonames.org/]] dbpedia.org[http://dbpedia.org/[http://dbpedia.org/]] 545,815 kb.nl[http://kb.nl/[http://kb.nl/]] viaf.org[http://viaf.org/[http://viaf.org/]] 2,607,255 kb.nl[http://kb.nl/[http://kb.nl/]]www.wikidata.org[http://www.wikidata.org… 121,012 kb.nl[http://kb.nl/[http://kb.nl/]] dbpedia.org[http://dbpedia.org/[http://dbpedia.org/]] 37,676 www.wikidata.org[http://www.wikidata.org][http://www.wikidata.org/[http://w… 5,133 wikidata.dbpedia.org[http://wikidata.dbpedia.org/[http://wikidata.dbpedia.o… 45,344,233 wikidata.dbpedia.org[http://wikidata.dbpedia.org/[http://wikidata.dbpedia.o… sws.geonames.org[http://sws.geonames.org/[http://sws.geonames.org/]] 3,495,358 wikidata.dbpedia.org[http://wikidata.dbpedia.org/[http://wikidata.dbpedia.o… viaf.org[http://viaf.org/[http://viaf.org/]] 1,179,550 wikidata.dbpedia.org[http://wikidata.dbpedia.org/[http://wikidata.dbpedia.o… d-nb.info[http://d-nb.info/[http://d-nb.info/]] 601,665 Plan for the next releases Include more existing data from DBpedia Renew all DBpedia releases in a separate fashion: DBpedia Wikidata is running already: http://78.46.100.7/wikidata/[http://78.46.100.7/wikidata/][http://78.46.100… Basic extractors like infobox properties and mapping will be active soon Text extraction will take a while Load all data in the comparison tool: http://88.99.242.78:9000/?s=http%3A%2F%2Fid.dbpedia.org%2Fglobal%2F12HpzV&a… Load all data into a SPARQL endpoint Create a simple open source software that let’s everybody push data on the databus in an automated way _______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org[mailto:Wikidata@lists.wikimedia.org] https://lists.wikimedia.org/mailman/listinfo/wikidata[https://lists.wikimed… _______________________________________________ Wikidata mailing listWikidata@lists.wikimedia.org[mailto:Wikidata@lists.wikimedia.org]https://lists.wikimedia.org/mailman/listinfo/wikidata -- All the best, Sebastian Hellmann Director of Knowledge Integration and Linked Data Technologies (KILT) Competence Center at the Institute for Applied Informatics (InfAI) at Leipzig University Executive Director of the DBpedia Association Projects: http://dbpedia.org[http://dbpedia.org], http://nlp2rdf.org[http://nlp2rdf.org], http://linguistics.okfn.org[http://linguistics.okfn.org], https://www.w3.org/community/ld4lt[http://www.w3.org/community/ld4lt] Homepage: http://aksw.org/SebastianHellmann[http://aksw.org/SebastianHellmann] Research Group: http://aksw.org[http://aksw.org]

I am asking Sebastian about the rationale for paid service. On Tue, May 8, 2018 at 2:47 PM Laura Morales &lt;lauretas(a)mail.com&gt; wrote: _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata

I was more expecting technical questions here, but it seems there is interest in how the economics work. However, this part is not easy to write for me.

Working with data is hard and repetitive. We envision a hub, where everybody can upload data and then useful operations like versioning, cleaning, transformation, mapping, linking, merging, hosting is done Sounds like Wikidata!

Hoi, We do not provide useful operations like versioning, cleaning, transformation at Wikidata. We do not compare we do not curate at Wikidata. So when somewhere else they make it their priority and do a better job at it, rejoice, don't mock. The GREAT thing about DBpedia that they /are /willing to collaborate. Thanks,          GerardM On 15 May 2018 at 07:51, Federico Leva (Nemo) &lt;nemowiki(a)gmail.com <mailto:nemowiki@gmail.com>> wrote: Sebastian Hellmann, 08/05/2018 14:29: Working with data is hard and repetitive. We envision a hub, where everybody can upload data and then useful operations like versioning, cleaning, transformation, mapping, linking, merging, hosting is done Sounds like Wikidata! automagically Except this. There is always some market for pixie dust. Federico _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org <mailto:Wikidata@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata> _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata