Technology is changing the way researchers work
Research more exciting but also more challenging How many hours per week searching and gathering information? How many hours per week organizing, analyzing and applying information?Researchers spend more time looking for informationthan analyzing and applying it. Source: 2007 Survey by Outsell Inc. on 6,300 knowledge workers
Key web trends defining the future 1. Openness & Interoperability 2. Personalization 3. Collaboration & Trusted views
Openness & Interoperability “Give me your data, my way” Access to APIs and the creation of an ecosystem that helps to: facilitate data accessibility extend the reach of content build strong developer ecosystem increase core base of users develop new applications drive innovation
Personalization “Know who I am and what I want” Deliver recommendations based on behaviors and what might be of interest to them.
Collaboration & trusted views “The right contacts at the right time” Provide a professional networking platform for researchers and scientists.
Traditional vs new application based ecosystemIn the new publishing ecosystem communities can shareapplications the way they were doing with journal articles.
Support from our partners Source: www.kurzweilai.net/new-application-allows-scientists-easy-access-to-important-government-data
What value does it bring to the Developers? Trusted Content • Content repositories containing 25% of the worlds science, technology and medical publications • Open APIs and Bulk Content Platform to Create Apps •Infrastructure to host/expose your product •Web based apps integrated into users’ workflows (Shindig – Open Social) •Feedback and metrics Platform to Promote and sell apps • Exposure to a large user base- 10,000 institutions and 15m researchers • Brand recognition • Monetization opportunities with end users, institutions and companies A new ecosystem to foster collaboration • Collaboration with researchers and other developers • Customer partnerships • Online blogs, forums and idea exchange
Journal of web semantics An interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service web.
Semantic web for the Working Oncologist2nd edition “Through simple modeling and case studies, the authors show how stranded data is connected, thus increasing its value.” Philip Bane, President, Renomics Corporation Bestselling practitioner’s guide to the semantic web Includes latest developments for building useful and reusable models and applicationsDean Allemang, TopQuadrant Inc. &Prof James Hendler, Rensselaer Polytechnic InstituteISBN: 9780123859655June 2011http://mkp.com
The SciVerse product suite Science Direct Content 11million trusted full-text articles 15 million eBooks User base 15 million unique users per month 10,000 top global institutionsLeading full-text scientific database offering journal articles and books. Providing access to 15m users
The SciVerse product suiteScopusContent 41million records 70% records with abstracts 70% content from international sourcesUser base 800k unique users per month 10,000 15 MILLION TOP GLOBAL UNIQUE USERS INSTITUTIONS PER MONTH Largest abstract and citation database of peer-reviewed literature – with a global audience
The SciVerse product suiteSciVerse HubContent Access ScienceDirect, Scopus & trusted web content with just one click Interoperable suite with de duplication and relevant rankingFeatures Use applications on SciVerse Hub integrated content SciVerse Hub integrates Elsevier content platforms and is optimized for application development.
Apps are at the core of this new interoperable platform APP APP APP ScienceDirect Scopus APP APP APP 10 MILLION 15 THOUSAND 41 MILLION FULL TEXT E-BOOKS ABSTRACTS ARTICLES Web/Third Party Content SciTopics 300 MILLION 13 SOURCES WEB PAGES SOCIETY APP APP APP PAGES SHARE WRITTEN BY YOUR KNOWLEDGE 18 INSTITUTIONS 23 MILLION APP SCIENTIFIC AND LEARN FROM INTL. REPOSITORY PATENT FILES APP APP EXPERTS ONLY OTHERS
Customers, Content and Infrastructure Customers for usage branding and monetization High quality STM content Infrastructure to store, retrieve and expose your product http://applications.sciverse.com
Quantifind app integrated at record level in SciVerse Hub
Stanford ODiSSea App integrated on SciVerse Hub
Apps on the platform targeted to researcher workflowCollaborateSearchManageAnalyze
The SciVerse developerA new ecosystem to fosternetworkcollaboration
Collaboration with other developers & with the researchcommunity
Elsevier is facilitating collaboration in the community http://developer.sciverse.com
Our goal: building trusted partnershipsElsevier is working with leading global institutions to partnerand showcase their work to SciVerse users.
PureDiscovery we are the creators of the BrainSpace™. the semantic technology that forms an architecture for a smarter, more connected planet.
PureDiscovery BrainSpace App on SciVerse: Accelerating Innovation and Collaboration through the Semantic Discovery
The Problem: Search is BrokenTransactional keyword search is dying andPureDiscovery will help kill it.It is the contextualLinking of the concepts, thoughts and ideascontained in documents that creates meaningin the world.It is the relationships that peoplehave with these things that will accelerateInnovation and lead to new discoveries.
The Problem: Semantic Search Is anEnigma The entire industry can be represented by one symbol •No Scale •Locked intelligences •Silo’d indexes •Highly complex •Hard to use Black Box
The Current State of Information There is currently no technology that connectsas aintelligence that exists silo people, interests We ignore the with different search languages in them collective We indexWe create multiple search indexes from We our combined document repositories. maintain each index separate, disconnected different vendors. and knowledge Internal Indexes Nat’l Labs IndexesUniversities Web Indexes Los Alamos Corporate3 Univ of CalCorporate1 Corporate2 Harvard Argonne Google Yahoo! Sandia Alexa Yale
PureDiscovery…We do two things better than anyone in theworld:(1) We transform any organization’s staticdocuments into a semantic intelligencethat can(2) be used by anyone to intelligentlyaccess people and information relatedto their interests.
Our Approach: Creating the ScienceDirectBrainSpace (5) Brain Selection. PD Query Classification engine is layered “Organic over the BrainSpace and selects the best Brain to inject Nano intelligence into each user techniques” (4) Build BrainSpace. We query. transform each optimized cluster into a PD Brain. A multi- dimensional semantic space with a human like intelligence. (3) Optimize. We optimize Physical Life Health Social Physics Business each cluster with unique Finance Science Science Science Science Astronomy Mngmnt methods that remove noise and duplicate documents. (2) Cluster. We cluster documents. PD ’ s clustering Physical Life Health Social Physics Business Finance engine automatically clusters Science Science Science Science Astronomy Mngmnt over 40 million pages a day into like categories. (1) Source Documents. Documents documents are the source (Each research area could be transformed into a PD documents for the collective knowledge. BrainSpace) Magazines Periodicals Publishers Reference Journals Online Books
The BrainSpace Application: Inference (Checking our inferred words)
Whats Next: Visual Interfaces Zoom in to visually navigate the clusters... See the entire document space ...and even closer to see sub categories.
Whats Next: Socialization of Knowledge A Disruptive Shift Towards Who Knows What The knowledge Management era, dominated by document-centered retrieval and transactional keyword search, is over. A disruptive shift in the market occurred with the advent of social networks and continues to evolve today under the new rules of the emerging semantic web: We Are What We Know: Knowledge is social. It is created by people, collaborated on by people and shared by people. “Who Knows What” will be the driving force of the new knowledge economy. There is Power In All of Us: Knowledge is everywhere and as we harness our Collective Intelligence we enhance our ability to pool knowledge, collaborate through research and discover new innovations. Through this collective and collaborative process we refine our understanding of the world. Meaning Matters: Keywords are not knowledge. Looking between words to better understand meaning of documents or posts -regardless of what *keywords* are being used.
Its sort of like Match.com forbig thoughts and ideas... How can I extract oil out of frozen water? Cracking ice and submerging it? separates the ice from the pollutant! BrainSpace By PureDiscovery