Data|Hack|Award|2014
Data|Hack|Award|2014 calls data users, modelers, developers, designers, analysts and all! Take up the challenge: make the most of open data and open-source linked data tools and get knowledge into apps! Contribute to one or more of the four challenges: Use cases, Refine data, Reuse data, Release data.

Applicants via this form will be considered for the advanced contracts between 5-10K euros and invited to the Bootcamp on 11/12 April in Berlin. Successful applicants will be awarded a max. 2 months contract based on their ideas on one or more topics from the challenges. The bootcamp serves to discuss and clarify the specific tasks.

The hackathon and awards in May are more loosely structured and winning projects will get awarded contracts between 3-5K euros lasting max. one month to complete their ideas. Learn more: http://datahackaward.org

You can choose to implement one or more topics from the Use case challenge combined with topics from the other challenges or just one or more topics from the Refine, Reuse, and Release challenges. Proposals should be preferably linked to one or more topics from the Use case challenge.

You can apply as an individual or a company (SME). Applicants must be of legal age and eligible to raise invoices in their home country. All Jury decisions are final. Ownership and copyright will remain with the creator. The use of Apache 2 license is highly encouraged.

If you apply representing a company (SME), please provide the name of the main developer and contact point in the section" Basic contact data" and provide further information about the proposed developing team and company in the section "experience and impact". If you apply as an individual, it is all about you!

Applicants applying by April 6th, 2014, will be considered for the 2 month contract award, Applicants applying later will be encouraged to join the hackathon in May.

If you plan to apply tweet #Fusepool #dha14
Find us @Fusepool and info@fusepool.net


Relevant information for applicants:

Fusepool SME platform (beta.fusepool.com/firstswim) is based on the open source modular software stack Apache Stanbol (stanbol.apache.org) and a set of reusable components for semantic content management. The components are meant to be accessed over RESTful interfaces to provide semantic services on top of the data pool.

Fusepool software on GitHub: https://github.com/fusepool

Fusepool reports describing the software: http://www.fusepool.eu/results

Fusepool is a 2-year project partially funded by the European Commission under the FP7 ICT-2011.4.1 special call for SME Digital content and Languages that aims at developing an user-adaptive Living Knowledge Pool for product development and research (www.fusepool.eu). This Open Call for developers  (Data|Hack|Award 2014) is funded by the Fusepool project (Grant no. 296192)

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Basic contact data
First name *
Last name *
E-mail *
City *
Country *
Phone
Individual or SME? *
If you apply as a company, provide name and website
Use cases
About the data: Millions of patents are made freely available in XML, with the majority in English, German and French related to the medical domain. All patents have base properties with the classification codes (ECLA and CPC). Millions of pubmed journal articles for establishing prior art are also freely available in XML with base properties. Funding data needs to be gathered from external sources, for example, from the Horizon 2020 website. The data can be mapped to the FP7-PP vocabulary from LATC (http://fp7-pp.publicdata.eu).
Life-sciences targeted prior art finder [AR1.11]
Related prior art is of high value, such as molecules in development by competitors, screening data against the selected target, family members and mutants of the target, data from down-stream optimization (ADME, PK, animal models, human efficacy).
Life-sciences dictionaries interlinked [AR1.12]
We need support for interlinked controlled term lists (dictionaries) incl. synonyms for disease names, biological target names, approved drugs by name, molecules, chemical structures.
Life-sciences dictionary matching (DMA) [AR1.13]
Terms from controlled term lists (dictionaries) incl. synonyms that are mentioned in patents should be identified and stored in machine-searchable format.
Life-sciences targeted research funding finder [HM1.11]
Integrate data from different research funding schemes, higher level integration between national and EU programs, search by standard eligibility criteria within a unified framework.
Life-sciences targeted private funding finder [JB1.11]
Main seed funding agents and new projects/enterprises are matched (business angels, VC investors, Seed Capital).
Life sciences relevant funding events finder [JB1.12]
Firms in the capital-seeking process are guided to national and international fund-seeking events (e.g. in Spain NEOTEC, IESE) and supported in preparing their project presentation.
Refine data
Example overview: https://code.google.com/p/lmf/wiki/GuidePublishingLinkedData
Turning structured text data sets into Linked Data
Data formats: CSV, XML; Required components: rdfizer, text extractor; Required skills: Java, OSGi, RDF; Fusepool example: https://github.com/fusepool/fusepool-dlc-patents (Overview example: http://www.ubitech.eu/?q=node/131)
Dictionary-matching algorithm (DMA) using Linked Data
DMA locates elements from a list of concepts ("dictionary") within an input text. If the concepts have URIs, the input text is interlinked with these concepts. Fusepool example: https://github.com/fusepool/fusepool-sma
Reuse data
Example overview: http://pro.europeana.eu/re-use-data
Configuring Semantic Search for Linked Data
Configure the semantic search component to create a sophisticated semantic search over your data by enriching the search index with data from the Linked Data Cloud (How to: https://code.google.com/p/lmf/wiki/GuideSemanticSearch)
Interlink data using SILK or LIMES
Create configuration files for interlinking your data with other data in the data pool or outside. Fusepool example: https://github.com/fusepool/silklinking (SILK: http://wifo5-03.informatik.uni-mannheim.de/bizer/silk)
Release data
Linked Data visualization components
GUI and advanced visualizations for interacting and exploring Linked Data. Fusepool example: https://github.com/fusepool/fusepool-firstswim
Linked Data content management systems
Integrate Fusepool components into existing open-source content management systems. Ruby example: http://rdf.rubyforge.org -- Drupal example: http://www.slideshare.net/gabidrg/drupal-stanbol
Experience and impact
Tell us about your past experience
You can list URLs of past projects you contributed to, projects or positions within an organization, or any other evidence that speaks for your capacity to implement.
Tell us about the value your proposed work generates
We are especially interested in 3 criteria: usability (ease of use), development (technical depth), and impact (benefit, adoption).
Tell us anything you always wanted to tell but didn't ; )
Thank you!
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