Re: Request for Help: US Government Linked Data
Dave, IMHO, the W3C Cookbook methods do not go far enough to define the short-term strategy game of which Americans are so fond. The Federal Government must plan Social Policy from ante Meridian (AM) to post Meridian (PM). Playing statistical games with higher frequencies or modified time spans is fun, but it is not Science (a Free Energy Calculation). http://www.rustprivacy.org/2013/egov/roadmap/NoMoneyInGovernment.pdf Sorry to say, for reasons given, that StratML seems the better choice for Strategic Policy Representation (rather than SKOS and RDF). --Gannon From: David Wood da...@3roundstones.com To: public-lod@w3.org community public-lod@w3.org Sent: Saturday, May 18, 2013 8:59 AM Subject: Re: Request for Help: US Government Linked Data Hi all, I take it back: Don't just comment. We need to introduce pull requests into the Project Open Data documents that add Linked Data terms, examples and guidelines to the existing material. There are a few scattered RDFa references in relation to schema.org, but most of the Linked Data material has been removed from the documents. We need to get this back in existing Linked Data efforts within the US Government might very well be hurt. Please help. Thanks. Regards, Dave -- http://about.me/david_wood On May 18, 2013, at 09:16, David Wood da...@3roundstones.com wrote: Hi all, Parts of the US Government have been discussing the role of Linked Data in government agencies and whether Linked Data is what the Obama Administration meant when they mandated machine readable data. Unsurprisingly, some people like to do things the old ways, with a three-tier architecture and without fostering reuse of the data. Please respond to the GitHub thread if you would like to support Linked Data: https://github.com/project-open-data/project-open-data.github.io/pull/21 Regards, Dave -- http://about.me/david_wood
Re: Request for Help: US Government Linked Data
Great reminder David, We need to add more Linked Data content on those pages. One interesting positive note though: this Linked Data pull request is by far the most active request, with 42 comments. So this should spark something in the minds of the people that are managing this project. Luca On Sun, May 19, 2013 at 5:19 PM, Gannon Dick gannon_d...@yahoo.com wrote: Dave, IMHO, the W3C Cookbook methods do not go far enough to define the short-term strategy game of which Americans are so fond. The Federal Government must plan Social Policy from ante Meridian (AM) to post Meridian (PM). Playing statistical games with higher frequencies or modified time spans is fun, but it is not Science (a Free Energy Calculation). http://www.rustprivacy.org/2013/egov/roadmap/NoMoneyInGovernment.pdf Sorry to say, for reasons given, that StratML seems the better choice for Strategic Policy Representation (rather than SKOS and RDF). --Gannon -- *From:* David Wood da...@3roundstones.com *To:* public-lod@w3.org community public-lod@w3.org *Sent:* Saturday, May 18, 2013 8:59 AM *Subject:* Re: Request for Help: US Government Linked Data Hi all, I take it back: Don't just comment. We need to introduce pull requests into the Project Open Data documents that add Linked Data terms, examples and guidelines to the existing material. There are a few scattered RDFa references in relation to schema.org, but most of the Linked Data material has been removed from the documents. We need to get this back in existing Linked Data efforts within the US Government might very well be hurt. Please help. Thanks. Regards, Dave -- http://about.me/david_wood On May 18, 2013, at 09:16, David Wood da...@3roundstones.com wrote: Hi all, Parts of the US Government have been discussing the role of Linked Data in government agencies and whether Linked Data is what the Obama Administration meant when they mandated machine readable data. Unsurprisingly, some people like to do things the old ways, with a three-tier architecture and without fostering reuse of the data. Please respond to the GitHub thread if you would like to support Linked Data: https://github.com/project-open-data/project-open-data.github.io/pull/21 Regards, Dave -- http://about.me/david_wood
Re: Request for Help: US Government Linked Data
On Sun, 2013-05-19 at 08:19 -0700, Gannon Dick wrote: Dave, IMHO, the W3C Cookbook methods do not go far enough to define the short-term strategy game of which Americans are so fond. The Federal Government must plan Social Policy from ante Meridian (AM) to post Meridian (PM). Playing statistical games with higher frequencies or modified time spans is fun, but it is not Science (a Free Energy Calculation). http://www.rustprivacy.org/2013/egov/roadmap/NoMoneyInGovernment.pdf Sorry to say, for reasons given, that StratML seems the better choice for Strategic Policy Representation (rather than SKOS and RDF). sorry, no offence but above are two lines of total confusion... wkr j --Gannon __ From: David Wood da...@3roundstones.com To: public-lod@w3.org community public-lod@w3.org Sent: Saturday, May 18, 2013 8:59 AM Subject: Re: Request for Help: US Government Linked Data Hi all, I take it back: Don't just comment. We need to introduce pull requests into the Project Open Data documents that add Linked Data terms, examples and guidelines to the existing material. There are a few scattered RDFa references in relation to schema.org, but most of the Linked Data material has been removed from the documents. We need to get this back in existing Linked Data efforts within the US Government might very well be hurt. Please help. Thanks. Regards, Dave -- http://about.me/david_wood On May 18, 2013, at 09:16, David Wood da...@3roundstones.com wrote: Hi all, Parts of the US Government have been discussing the role of Linked Data in government agencies and whether Linked Data is what the Obama Administration meant when they mandated machine readable data. Unsurprisingly, some people like to do things the old ways, with a three-tier architecture and without fostering reuse of the data. Please respond to the GitHub thread if you would like to support Linked Data: https://github.com/project-open-data/project-open-data.github.io/pull/21 Regards, Dave -- http://about.me/david_wood -- | Jürgen Jakobitsch, | Software Developer | Semantic Web Company GmbH | Mariahilfer Straße 70 / Neubaugasse 1, Top 8 | A - 1070 Wien, Austria | Mob +43 676 62 12 710 | Fax +43.1.402 12 35 - 22 COMPANY INFORMATION | web : http://www.semantic-web.at/ | foaf : http://company.semantic-web.at/person/juergen_jakobitsch PERSONAL INFORMATION | web : http://www.turnguard.com | foaf : http://www.turnguard.com/turnguard | g+: https://plus.google.com/111233759991616358206/posts | skype : jakobitsch-punkt | xmlns:tg = http://www.turnguard.com/turnguard#;
Research and Polemics at Sepublica
We are pleased to invite you all to the Sepublica Workshop (http://sepublica.mywikipaper.org/drupal/). We are having a full day workshop on the 26th. Peter Murray Rust is one of our keynote speakers; we are having news from the American Psychological Association as well as from the Cochrane Organization, how are they facing the transition? what is their understanding of semantic web technology? how are they using SW technology? what is their path to innovation? you will have the opportunity to discuss with them at Sepublica. For your convenience here is the list of accepted papers and polemics. All polemics are available online at http://event.knowledgeblog.org/event/sepublica-2013; comments are welcome. Sepublica , SUNDAY, MAY 26TH, 2013 9:35-10:00 Keynote, Peter Murray-Rust 10:00-10:05 QA 10:05-10:25 Chris Mavergames, Silver Oliver and Lorne Becker “Systematic Reviews as an interface to the web of (trial) data: Using PICO as an ontology for knowledge synthesis in evidence-based healthcare research” 10:25-10:30 QA 10:30-11:00 Coffee break 11:00-11:20 Phillip Lord and Lindsay Marshall, “Twenty-Five Shades of Greycite: Semantics for referencing and preservation” 11:20-11:25 QA 11:25-11:45 Leyla Jael García Castro, Rafael Berlanga, Dietrich Rebholz-Schuhmann and Alexander Garcia, “Connections across scientific publications based on semantic annotations” 11:45-11:50 QA 11:50-12:10 Sara Magliacane and Paul Groth, “Repurposing Benchmark Corpora for Reconstructing Provenance” 12:10-12:15 QA 12:15-12:35 Angelo Di Iorio, Andrea Giovanni Nuzzolese and Silvio Peroni, “Towards the automatic identification of the nature of citations” 12:35-12:40 QA 12:40-14 Lunch 14:00-14:30 Keynote 14:30-14-40 QA 14:40-15:00 Best Paper, José Manuel Gómez-Pérez, Esteban García, Jun Zhao, Aleix Garrido and José Enrique Ruiz, “How Reliable is Your workflow: Monitoring Decay in Scholarly Publications” 15:00-15:05 QA 15:30-16 Coffee break 16:00-16-30 Polemics and outrageous ideas 16:30-17:30 Round table discussion 17:30 End Polemics, please comment http://event.knowledgeblog.org/event/sepublica-2013 Flash Mob Science, Open Innovation and Semantic Publishing by Hal Warren, Bryan Dennis, and Eva Winer (American Psychological Association) Science, Semantic Web and Execuses by Idafen Santana Pérez, Daniel Garijo, Oscar Corcho Future of scholarly publishing/semantic publishing Chris Mavergames, http://www.cochrane.org/ Linked Research Sarven Capadisli -- Alexander Garcia http://www.alexandergarcia.name/ http://www.usefilm.com/photographer/75943.html http://www.linkedin.com/in/alexgarciac
Re: There's No Money in Linked Data
On 5/17/2013 10:32 PM, Samuel Rose wrote: On Fri, May 17, 2013 at 10:15 PM, Pascal Hitzler pascal.hitz...@wright.edu wrote: We just finished a piece indicating serious legal issues regarding the commercialization of Linked Data - this may be of general interest, hence the post. We hope to stimulate discussions on this issue (hence the provokative title). Available from http://knoesis.wright.edu/faculty/pascal/pub/nomoneylod.pdf Abstract. Linked Data (LD) has been an active research area for more than 6 years and many aspects about publishing, retrieving, linking, and cleaning Linked Data have been investigated. There seems to be a broad and general agreement that in principle LD datasets can be very useful for solving a wide variety of problems ranging from practical industrial analytics to highly specific research problems. Having these notions in mind, we started exploring the use of notable LD datasets such as DBpedia, Freebase, Geonames and others for a commercial application. However, it turns out that using these datasets in realistic settings is not always easy. Surprisingly, in many cases the underlying issues are not technical but legal barriers erected by the LD data publishers. In this paper we argue that these barriers are often not justified, detrimental to both data publishers and users, and are often built without much consideration of their consequences. Authors: Prateek Jain, Pascal Hitzler, Krzysztof Janowicz, Chitra Venkatramani Thanks, Pascal and co. Very useful! It seems the suggestion here is to release under public domain for the greatest freedom? Well, yes, but the devil is in the details, e.g. if the data is derived from other data or websites, which might not have been so released ... Pascal. -- Prof. Dr. Pascal Hitzler Kno.e.sis Center, Wright State University, Dayton, OH pas...@pascal-hitzler.de http://www.knoesis.org/pascal/ Semantic Web Textbook: http://www.semantic-web-book.org Semantic Web Journal: http://www.semantic-web-journal.net -- Prof. Dr. Pascal Hitzler Kno.e.sis Center, Wright State University, Dayton, OH pas...@pascal-hitzler.de http://www.knoesis.org/pascal/ Semantic Web Textbook: http://www.semantic-web-book.org Semantic Web Journal: http://www.semantic-web-journal.net
Re: There's No Money in Linked Data
Hello Leigh, thanks for the pointers, I apologize for missing relevant ones. And I agree we should say how exactly we got the data, good point. Pascal. On 5/18/2013 4:58 AM, Leigh Dodds wrote: Hi Pascal, Its good to draw attention to these issues. At ISWC 2009 Tom Heath, Kaitlin Thaney, Jordan Hatcher and myself ran a workshop a legal and social issues for data sharing [1, 2]. Key themes from the workshop were around the importance of clear licensing, norms for attribution, and including machine-readable license data. At the time I did a survey of the current state of licensing of the Linked Data cloud, there's a write-up [3] and diagram [4]. Looking over your analysis, I don't think the picture has changed considerably since then. We need to work harder to ensure that data is clearly licensed. But this is a general problem for Open Data, not just Linked Open Data. You don't say in your paper how you did the analysis. Did you use the metadata from the LOD group in datahub? [5]. At the time I had to do mine manually, but it wouldn't be hard to automate some of this now, perhaps to create an regularly updated set of indicators. One criteria that agents might apply when conducting Follow Your Nose consumption of Linked Data is the licensing of the target data, e.g. ignore links to datasets that are not licensed for your particular usage. Cheers, L. [1]. http://opendatacommons.org/events/iswc-2009-legal-social-sharing-data-web/ [2]. http://blog.okfn.org/2009/11/05/slides-from-open-data-session-at-iswc-2009/ [3]. http://blog.ldodds.com/2010/01/01/rights-statements-on-the-web-of-data/ [4]. http://www.flickr.com/photos/ldodds/4043803502/ [5]. http://datahub.io/group/lodcloud On Sat, May 18, 2013 at 3:15 AM, Pascal Hitzler pascal.hitz...@wright.edu wrote: We just finished a piece indicating serious legal issues regarding the commercialization of Linked Data - this may be of general interest, hence the post. We hope to stimulate discussions on this issue (hence the provokative title). Available from http://knoesis.wright.edu/faculty/pascal/pub/nomoneylod.pdf Abstract. Linked Data (LD) has been an active research area for more than 6 years and many aspects about publishing, retrieving, linking, and cleaning Linked Data have been investigated. There seems to be a broad and general agreement that in principle LD datasets can be very useful for solving a wide variety of problems ranging from practical industrial analytics to highly specific research problems. Having these notions in mind, we started exploring the use of notable LD datasets such as DBpedia, Freebase, Geonames and others for a commercial application. However, it turns out that using these datasets in realistic settings is not always easy. Surprisingly, in many cases the underlying issues are not technical but legal barriers erected by the LD data publishers. In this paper we argue that these barriers are often not justified, detrimental to both data publishers and users, and are often built without much consideration of their consequences. Authors: Prateek Jain, Pascal Hitzler, Krzysztof Janowicz, Chitra Venkatramani -- Prof. Dr. Pascal Hitzler Kno.e.sis Center, Wright State University, Dayton, OH pas...@pascal-hitzler.de http://www.knoesis.org/pascal/ Semantic Web Textbook: http://www.semantic-web-book.org Semantic Web Journal: http://www.semantic-web-journal.net -- Prof. Dr. Pascal Hitzler Kno.e.sis Center, Wright State University, Dayton, OH pas...@pascal-hitzler.de http://www.knoesis.org/pascal/ Semantic Web Textbook: http://www.semantic-web-book.org Semantic Web Journal: http://www.semantic-web-journal.net
Re: There's No Money in Linked Data
On 5/18/2013 8:46 AM, David Wood wrote: Good work, Pascal. Some minor comments: 1) Licenses (and license compliance) are issues with much broader communities, including Open Source software and other forms of open content. yes, certainly :) 2) I wish you had used the term Linked *Open* Data to avoid purely commercial users of Linked Data being confused. I guess I'm guilty (as are many others in fact) of not being very clear in my terminology regarding the distinction of Liked Data and Linked Open Data. But then, our text shows that one has to take the open with a caveat ... so perhaps the confusion in terminology is actually indicative of a deeper problem ... ? Pascal. Regards, Dave -- http://about.me/david_wood On May 17, 2013, at 22:15, Pascal Hitzler pascal.hitz...@wright.edu wrote: We just finished a piece indicating serious legal issues regarding the commercialization of Linked Data - this may be of general interest, hence the post. We hope to stimulate discussions on this issue (hence the provokative title). Available from http://knoesis.wright.edu/faculty/pascal/pub/nomoneylod.pdf Abstract. Linked Data (LD) has been an active research area for more than 6 years and many aspects about publishing, retrieving, linking, and cleaning Linked Data have been investigated. There seems to be a broad and general agreement that in principle LD datasets can be very useful for solving a wide variety of problems ranging from practical industrial analytics to highly specific research problems. Having these notions in mind, we started exploring the use of notable LD datasets such as DBpedia, Freebase, Geonames and others for a commercial application. However, it turns out that using these datasets in realistic settings is not always easy. Surprisingly, in many cases the underlying issues are not technical but legal barriers erected by the LD data publishers. In this paper we argue that these barriers are often not justified, detrimental to both data publishers and users, and are often built without much consideration of their consequences. Authors: Prateek Jain, Pascal Hitzler, Krzysztof Janowicz, Chitra Venkatramani -- Prof. Dr. Pascal Hitzler Kno.e.sis Center, Wright State University, Dayton, OH pas...@pascal-hitzler.de http://www.knoesis.org/pascal/ Semantic Web Textbook: http://www.semantic-web-book.org Semantic Web Journal: http://www.semantic-web-journal.net -- Prof. Dr. Pascal Hitzler Kno.e.sis Center, Wright State University, Dayton, OH pas...@pascal-hitzler.de http://www.knoesis.org/pascal/ Semantic Web Textbook: http://www.semantic-web-book.org Semantic Web Journal: http://www.semantic-web-journal.net
