Semantic Interoperability for the International Polar Year

Semantic Interoperability for the International Polar Year

IPY and Semantics Siri Jodha S. Khalsa Paul Cooper Peter Pulsifer Paul Overduin Eugeny Vyazilov Heather lane Statement of Problem Each science domain or community develops its own terminology to describe concepts, resources (objects, data) and

relationships Data discovery and data sharing depend critically on being able to attach unambiguous meaning to the terms used to describe domain knowledge Generalized metadata standards such as ISO 19115 lack domain-specific elements Knowledge Organization Systems Controlled vocabularies

Glossaries & Dictionaries Thesauri (limited ability to express relationships between terms) Gazetteers (place names, sometimes classified and categorized) Classification Schemes (taxonomies) Ontologies (can create complex model of reality including rules and axioms) Ontologies

Expressed in a formal conceptual language (UML, ERD, RDF, OWL,...) where symbols, text and rules of grammar are used to express classes (conceptualizations of objects) instances of classes

properties of classes relationships between classes Why Create an Ontology? To transfer domain knowledge to scientists and educators outside the domain To enable reuse of domain knowledge Ability integrate existing ontologies To make domain assumptions explicit

Easier to modify models of reality as domain knowledge evolves To enable domain-independent services, inductive reasoning and natural-language processing Allow transmission of knowledge across languages Translation not always one-to-one The Big Question

Who is going to do it? DIS subcommittee of domain experts How will it be funded? Corporate underwriting? Prototype Process There is no one correct way to model a domain there are always viable alternatives.

Ontology development is necessarily an iterative process. Approaches Top Down Begin with survey of existing domain knowledge representations in each IPY discipline Reuse Many to choose from Investigate tools for bringing these knowledge bases into a common system

Approaches Bottom Up System for assigning subject metadata (tagging) High level terms from defined domain specification Leave discovery and simple semantic relationships to web services such as Google Mechanism for distilling subject metadata once assigned Once data released, users should be able to

assign new tags Community review and editing (wiki?) Outcome Legacy of IPY will be a dynamic system for cross-domain information discovery and retrieval Community based Language neutral

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