Semantic data integration proof of concept

Semantic Data Integration I6 Core Group Nic Bertrand Herbert Schentz LTER-Europe Conference, Mallorca, Dec. 2008

Overview ■Testing goals ■Test Architecture ■Results ■Outlook: Applicability for LTER-Europe

Architecture Goal: Enable seamless access to distributed data Allow local data analysis for all members with their own tools Distributed Distributed Socio-Ecological Data mining Data with local tools Portal See all data as if it came from ONE Data Source

Longer term vision Extend seamless access to distributed services (SOA) Allow local data analysis for all members with their own tools and common services Distributed Distributed Data Mining Socio-ecological With local tools Data Distributed Applications See all data as if data came from ONE Data Source processed within ONE application

Role of Ontology SERONTO common concepts and structures Portal Distributed Socio- Distributed Data Ecological Data Mining with local tools SERONTO: basis to discover, retrieve and integrate distributed heterogenous data

Testing... Why? ■To validate the use of SERONTO for data integration of ALTER-Net and LTER Europe ■Test the feasibility of mapping REAL ecological data to SERONTO ■Test the querying of the connected database(s) from the semantic concepts in SERONTO

Proof of concept: Acceptance Criteria • The databases must have different structures and must have been developed independently of SERONTO; • The databases must feature reference lists (e.g. species lists); • The database structures must not be altered as a result of the integration work; • New concepts may be imported into SERONTO as and when required; • The databases must contain data relevant to Long Term Ecological Research (e.g. vegetation surveys, records of species occurrences, measurement of biotic and abiotic components).

Testing: Connecting 5 databases 2835 floodplain More about the databases: Independently developed, Pythia Not developed for the purpose of data vegetation integration JOKL Different data models cultural Different languages landscapes Similar data types collected in ALTER-Net, Some obvious integration points ECN Summary (e.g. Vegetation) Database JODI vegetation SERONTO

Data Integration using SERONTO Connect Databases Import Ontology SERONTO Query Results

Getting value sets back SERONTO parameter method parameter_method Value_sets Unit Scale

Data Integration Results ➢ Import SERONTO and Units Ontologies into Ontostudio SERONTO

Data Integration Results import diverse ecological databases 2835 floodplain Pythia vegetation ECN Summary Database JOKL cultural landscapes JODI vegetation 12

Data Integration Results Extend SERONTO Classes (SERONTO Core does not Using the content of the databases contain domain specific concepts) Map databases to SERONTO (Simple and complex mappings) Query individual databases directly Query multiple databases from the SERONTO (Simple and Complex queries) Map once, reuse data many times, querying does not require knowledge of the structures of the databases Semantic data integration is possible 13

Open Questions <?xml version=\"1.0\" encoding=\"UTF-8\"?> <flg:flogic xmlns:flg=\"http://www.wsmo.org/2004/d16/d16.2/v0.1/\">  SERONTO  <rule> <head> <molecule> <object> <constant name=\"bob\"/> </object> <superclass isaType=\":\"> Databases <class> <constant name=\"empl\"/> </class> </superclass> <methodSpec arrow=\"->\"> <name> <constant name=\"name\"/> </name> ? <result> <oid> <constant name=\"\"Bob\"\"/> </oid> </result> domain ontologies Query Portal Performance

Possible uses for LTER Europe SERONTO & Domain Ontologies common concepts and domain knowledge Portal Distributed Socio- Distributed Data Ecological Data Mining with local tools Seamless access... Ready for use now

Semantic data integration proof of concept

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