|By David Weinberger||
|March 18, 2014 05:07 PM EDT||
Dean Krafft, Chief Technology Strategist for Cornell University Library, is at Harvard to talk about the Mellon-funded Linked Data for Libraries (LD4L) project he leads. The grantees include Cornell, Stanford, and the Harvard Library Innovation Lab (which is co-sponsoring the talk with ABCD). (I provide nominal leadership for the Harvard team working on this.)
NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people.
Dean will talk about the LD4L project by talking about its building blocks. [Dean had lots of information and a lot on the slides. I did a particularly bad job of capturing it.]
Mellon last December put up $1M for a 2-year project that will end in Dec. 2015. The participants are Cornell, Stanford, and the Harvard Library Innovation Lab.
Cornell: Dean Krafft, Jon Corso-Rickert, Brian Lowe, Simeon Warner
Stanford: Tom Cramer, Lynn McRae, Naomi Dushay, Philip Schreur
Harvard: Paul Deschner, Paolo Ciccarese, me
Aim: Create a Scholarly Resource Semantic Info Store model that works within and across institutions to create a network of Linked Open Data to capture the intellectual value that librarians and other domain experts add to info, patterns of usage, and more.
Ld4L wants to have a common language for talking about scholarly materials. – Outcomes: – Create a SRSIS ontology sufficiently expressive to encompass catalog metadata and other contextual elements – Create a SRSIS semantic editing display, and discovery system based on Vitro to support the incremental ingest of semantic data from multiple info sources – Create a Project Hydra-compatible interface to SRSIS, an active triples software component to facilitate easy use of the data
Why use Linked Data?
LD puts the emphasis on the relationships. Everything is related.
Benefits: The connections have meaning. And it supports “many dimensions of nearness”
Dean explains RDF triples. They connect subjects with objects via a consistent set of relationships.
A nice feature of LOD is that the same URL that points to a human-readable page can also be taken as a query to show the machine-readable data.
There’s commonality among references: shared types, shared relationships, shared instances defined as types and linked by relationships.
LOD is great for sharing data. There’s a startup cost, but as you share more data repositories and types, the costs/effort goes up linearly, not at the steeper rate of traditional approaches.
Dean shows the mandatory graphic of a cloud of LOD sources.
VIVO: Vivo was the inspiration for LD4L. It makes info about researchers discoverable. It’s software, data, a standard, and a community. It connects scientists and scholars through their research and scholarship. It provides self-describing data via shared ontologies. It provides search results enhanced by what it knows. And it does simple reasoning.
Vivo is built on the VIVO/Vitro platform. It has ingest tools, ontology editing tools, instance editing tools, and a display system. It models people, organizations, grants, etc., the relationships among them, and links to URIs elsewhere. It describes people in the process of doing research. It’s discipline-neutral. It uses existing domain terminology to describe the content of research. It’s modular, flexible, and extensible.
VIVO harvests much of its data automatically from verified sources.
It takes a complexity of inputs and makes them discoverable and usable.
All the data in VIVO is public and visible.
Dean shows us a page, and then traverses the network of interrelated authors.
He points out that other institutions are able to mash up their data with VIVO. E.g., the ICTS has info about 1.2M publications that they’ve integrated with VIVO’s data. E.g., you can see research papers created with federal funding but not deposited in PubMed Central.
VIVO is extensible. LASP extended VIVO to include spacecraft. Brown U. is extending it to support the humanities and artistic works, adding “performances,” for example.
The LD4L ontology will use components of the VIVO-ISF ontology. When new ontologies are needed, it will draw upon VIVO design patterns. The basis for SRSIS implementations will be Vitro plus LD4L ontologies. The multi-institution LD4L demo search will adapt VIVOsearch.org.
The 8M items at Cornell have generated billions of triples.
Project Hydra. Hydra is a tech suite and a partnership. You put your data there and can have many different apps. 22 institutions are collaborating.
Fundamental assumption: No single system can provide the full range of repository-based solutions for a given institution’s needs, yet sustainable solutions do require a common repository. Hydra is now building a set of “heads” (UI’s) for media, special collections, archives, etc.
Fundamental assumption: No single institution can build the full range of what it needs, so you need to work with others.
Hydra has an open architecture with many contributors to a common core. There are collaboratively built solution bundles.
Fedora, Ruby on Rails for Blacklight, Solr, etc.
LD4L will create an activeTriples Hyrdra component to mimic ActiveFedora.
Our Lab’s LibraryCloud/ShelfRank is another core element. It provides model for access to library data. Provides concrete example for creating an ontology for usage.
LD4L – the project
We’re now developing use cases. We have 32 on the wiki. [See the wiki for them]
We’re identifying data sources: Biblio, person (VIVO), usage (LibCloud, circ data, BorrowDirect circ), collections (EAD, IRs, SharedShelf, Olivia, arbitrary OAI-PMH), annotations (CuLLR, Stanford DMW, Bloglinks, DBpedia LibGuides), subjects and authorities (external sources). Imagine being able to look at usage across 50 research libraries…
Assembling the Ontology:
Whenever possible the project will use existing ontologies
Timeline: By the end of the year we hope to be piloting initial ingests.
Workshop: Jan. 2015. 10-12 institutions. Aim: get feedback, make a “sales pitch” to other organizations to join in.
June 2015: Pilot SRSIS instances at Harvard and Stanford. Pilot gather info across all three instances.
Dec. 2015: Instances implemented.
Q: Who anointed VIVO a standard?
A: It’s a de facto.
Q: SKOS is considered a great start, but to do anything real with it you have to modify it, and if it changes you’re screwed.
A: (Paolo) I think VIVO uses SKOS mainly for terms, not hierarchies. But I’m not sure.
Q: What are ActiveTriples?
A: It’s a Ruby Gem that serves as an interface for Hydra into a Fedora repository. ActiveTriples will serve the same function for a backend triple store. So you can swap different triple stores into the Fedora repository. This is Simeon Warner’s project.
Q: Does this mean you wouldn’t have to have a Fedora backend to take advantage of Hydra?
A: Yes, that’s part of it.
Q: Are you bringing in GIS linked data?
A: Yes, to the extent that we can and it makes sense to.
A: David Siegel: We have 6M data points from 1.1M Hollis records. LibraryCloud is ingesting them.
Q: What’s the product at the end?
A: We promised Mellon the ontology and instances of LOD based on the ontology at each of the 3 institutions, and search across the three.
Q: Harvard doesn’t have a Fedora backend…
A: We’d like to pull from non-catalog sources. That might well be an OAI-PMH ingest, or some other non-Fedora source.
Q: What is Simeon interested in with regard to Arxiv.org?
A: There isn’t a direct relationship.
Q: He’s also working on ORCID.
A: We have funding to do some level of integration of ORCID and VIVO.
Q: What is the bibliographic scope? BibFrame isn’t really defining items, etc. They’ve pushed it into annotations.
A: We’re interested in capturing some of that. BibFrame is offering most of what we need, but we have to look at each case. Then we communicate with them and hope that BibFrame does most of the work.
Q: Are any of your use cases posit tagging of contents, including by users perhaps with a controlled vocabulary?
A: We’ll be doing tagging at the object level. I’m unsure whether we’re willing to do tagging within the object.
A: [paolo] We assume we don’t have access to the full text.
A: You could always point into our data.
Q: How can we help?
A: We’re accumulating use cases and data sources. If you’re aware of any, let us know.
Q: It’s been hard for libraries to put enough effort into authority control, to associate values comparable across different subject schemes…there’s a lot of work to make things work together. What sort of vocabulary or semantic links will you be using? The hard part is getting values to work across domains.
A: One way to deal with that is to bring together the disparate info. By pulling together enough info, you can sometimes use the network to you figure that out. But in general the disambiguation challenge (and text fields are even worse) is not something we’re going to solve.
Q: Are the working groups institutionally based?
A: No. They’re cross-institution.
[I'm very excited about this project, and about the people working on it.]
Increasing IoT connectivity is forcing enterprises to find elegant solutions to organize and visualize all incoming data from these connected devices with re-configurable dashboard widgets to effectively allow rapid decision-making for everything from immediate actions in tactical situations to strategic analysis and reporting. In his session at 18th Cloud Expo, Shikhir Singh, Senior Developer Relations Manager at Sencha, will discuss how to create HTML5 dashboards that interact with IoT devic...
May. 3, 2016 04:00 PM EDT Reads: 1,260
The increasing popularity of the Internet of Things necessitates that our physical and cognitive relationship with wearable technology will change rapidly in the near future. This advent means logging has become a thing of the past. Before, it was on us to track our own data, but now that data is automatically available. What does this mean for mHealth and the "connected" body? In her session at @ThingsExpo, Lisa Calkins, CEO and co-founder of Amadeus Consulting, will discuss the impact of wea...
May. 3, 2016 04:00 PM EDT Reads: 967
trust and privacy in their ecosystem. Assurance and protection of device identity, secure data encryption and authentication are the key security challenges organizations are trying to address when integrating IoT devices. This holds true for IoT applications in a wide range of industries, for example, healthcare, consumer devices, and manufacturing. In his session at @ThingsExpo, Lancen LaChance, vice president of product management, IoT solutions at GlobalSign, will teach IoT developers how t...
May. 3, 2016 03:58 PM EDT
There is an ever-growing explosion of new devices that are connected to the Internet using “cloud” solutions. This rapid growth is creating a massive new demand for efficient access to data. And it’s not just about connecting to that data anymore. This new demand is bringing new issues and challenges and it is important for companies to scale for the coming growth. And with that scaling comes the need for greater security, gathering and data analysis, storage, connectivity and, of course, the...
May. 3, 2016 03:45 PM EDT Reads: 1,048
We’ve worked with dozens of early adopters across numerous industries and will debunk common misperceptions, which starts with understanding that many of the connected products we’ll use over the next 5 years are already products, they’re just not yet connected. With an IoT product, time-in-market provides much more essential feedback than ever before. Innovation comes from what you do with the data that the connected product provides in order to enhance the customer experience and optimize busi...
May. 3, 2016 03:30 PM EDT Reads: 1,157
A critical component of any IoT project is the back-end systems that capture data from remote IoT devices and structure it in a way to answer useful questions. Traditional data warehouse and analytical systems are mature technologies that can be used to handle large data sets, but they are not well suited to many IoT-scale products and the need for real-time insights. At Fuze, we have developed a backend platform as part of our mobility-oriented cloud service that uses Big Data-based approache...
May. 3, 2016 03:23 PM EDT Reads: 111
In his session at @ThingsExpo, Chris Klein, CEO and Co-founder of Rachio, will discuss next generation communities that are using IoT to create more sustainable, intelligent communities. One example is Sterling Ranch, a 10,000 home development that – with the help of Siemens – will integrate IoT technology into the community to provide residents with energy and water savings as well as intelligent security. Everything from stop lights to sprinkler systems to building infrastructures will run ef...
May. 3, 2016 03:15 PM EDT Reads: 1,136
The IoTs will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm and share the must-have mindsets for removing complexity from the development proc...
May. 3, 2016 03:15 PM EDT Reads: 641
The IETF draft standard for M2M certificates is a security solution specifically designed for the demanding needs of IoT/M2M applications. In his session at @ThingsExpo, Brian Romansky, VP of Strategic Technology at TrustPoint Innovation, will explain how M2M certificates can efficiently enable confidentiality, integrity, and authenticity on highly constrained devices.
May. 3, 2016 03:15 PM EDT Reads: 1,039
Artificial Intelligence has the potential to massively disrupt IoT. In his session at 18th Cloud Expo, AJ Abdallat, CEO of Beyond AI, will discuss what the five main drivers are in Artificial Intelligence that could shape the future of the Internet of Things. AJ Abdallat is CEO of Beyond AI. He has over 20 years of management experience in the fields of artificial intelligence, sensors, instruments, devices and software for telecommunications, life sciences, environmental monitoring, process...
May. 3, 2016 03:15 PM EDT Reads: 1,138
SYS-CON Events announced today that Ericsson has been named “Gold Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. Ericsson is a world leader in the rapidly changing environment of communications technology – providing equipment, software and services to enable transformation through mobility. Some 40 percent of global mobile traffic runs through networks we have supplied. More than 1 billion subscribers around the world re...
May. 3, 2016 02:45 PM EDT Reads: 1,235
Digital payments using wearable devices such as smart watches, fitness trackers, and payment wristbands are an increasing area of focus for industry participants, and consumer acceptance from early trials and deployments has encouraged some of the biggest names in technology and banking to continue their push to drive growth in this nascent market. Wearable payment systems may utilize near field communication (NFC), radio frequency identification (RFID), or quick response (QR) codes and barcodes...
May. 3, 2016 02:30 PM EDT Reads: 928
Manufacturers are embracing the Industrial Internet the same way consumers are leveraging Fitbits – to improve overall health and wellness. Both can provide consistent measurement, visibility, and suggest performance improvements customized to help reach goals. Fitbit users can view real-time data and make adjustments to increase their activity. In his session at @ThingsExpo, Mark Bernardo Professional Services Leader, Americas, at GE Digital, will discuss how leveraging the Industrial Interne...
May. 3, 2016 02:00 PM EDT Reads: 1,176
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
May. 3, 2016 12:30 PM EDT Reads: 1,158
You deployed your app with the Bluemix PaaS and it's gaining some serious traction, so it's time to make some tweaks. Did you design your application in a way that it can scale in the cloud? Were you even thinking about the cloud when you built the app? If not, chances are your app is going to break. Check out this webcast to learn various techniques for designing applications that will scale successfully in Bluemix, for the confidence you need to take your apps to the next level and beyond.
May. 3, 2016 12:15 PM EDT Reads: 1,582
SYS-CON Events announced today that Peak 10, Inc., a national IT infrastructure and cloud services provider, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Peak 10 provides reliable, tailored data center and network services, cloud and managed services. Its solutions are designed to scale and adapt to customers’ changing business needs, enabling them to lower costs, improve performance and focus inter...
May. 3, 2016 12:00 PM EDT Reads: 1,350
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
May. 3, 2016 09:45 AM EDT Reads: 1,419
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
May. 3, 2016 07:00 AM EDT Reads: 1,075
SYS-CON Events announced today that Fusion, a leading provider of cloud services, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Fusion, a leading provider of integrated cloud solutions to small, medium and large businesses, is the industry's single source for the cloud. Fusion's advanced, proprietary cloud service platform enables the integration of leading edge solutions in the cloud, including cloud...
May. 2, 2016 10:00 AM EDT Reads: 2,681
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
May. 2, 2016 06:30 AM EDT Reads: 2,570