“How can users experience iMarine as one coherent source of facts about marine entities, rather than a bag of contributed contents?” (*) In answer to this question, the Information Systems Laboratory (ISL) of FORTH-ICS developed − for the iMarine project − a top-level ontology for the marine domain.
Access the latest version: MarineTLO – Draft (September 2013)
ISL is interested in your feedback, as well coarse as fine-grained, e.g. comments and suggestions on the elements (concepts, associations, scope notes). Just send an email to firstname.lastname@example.org.
Focuses on Ecosystem Approach to Fisheries / Marine Resources and "should be generic enough to provide consistent abstractions or specifications of concepts included in all data models or ontologies of iMarine data sources such as Ecoscope, TDWG-WORMS,FLOD,AGROVOC, DwC, IBIS." (*)
Organizes the information distributed across various infrastructures "by providing a common, agreed–upon, understanding of the concepts and entities and relationships holding between them in order to enable first knowledge sharing and then improve information exchange and integration between heterogeneous sources." (*)
Has been expressed as an object-oriented semantic model, comprehensible to as well documentation experts as information scientists and is at the same time readily convertable to machine-readable formats such as RDF Schema, KIF, DAML+OIL, OWL, STEP, etc.
- Is the backbone of the MarineTLO-based Warehouse, integrating information coming from FishBase, WoRMS, ECOSCOPE, FLOD and DBpedia; containing information (3 M triples) about 40,000 marine species, ecosystems, water areas, vessels, etc. The warehouse is already in use by various services offered by iMarine, like X-Search.
* MarineTLO-Draft, September 2013 (pdf), p 2.
“Marine TLO”, ISL of FORTH-ICS
Y. Tzitzikas, C. Alloca, C. Bekiari, Y. Marketakis, P. Fafalios, M. Doerr, N. Minadakis, T. Patkos and L. Candela. Integrating Heterogeneous and Distributed Information about Marine Species through a Top Level Ontology. In Proceedings of the 7th Metadata and Semantic Research Conference, MTSR'13, Thessaloniki, Greece, November 2013