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The concept of representation format, or type, permeates all technical areas of digital repositories. Policy and processing decisions regarding object ingest, storage, access, and preservation are frequently conditioned on a per-format basis. In order to achieve necessary operational efficiencies, repositories need to be able to automate these procedures to the fullest extent possible. JSTOR and the Harvard University Library are collaborating on a project to develop an extensible framework for format validation: JHOVE (pronounced "jove"), the JSTOR/Harvard Object Validation Environment.

Assuming that meaning is dependent upon the interplay between lived experience and theoretical (cultural and social) constructs, the task of this chapter in analyzing the sensemaking processes and activities which occurred during the field trip is to integrate lived experiences with theoretical constructs in such a way that the meanings generated from this integration resonate as valid for both field trip participants and informed readers. Or to paraphrase Ken Wilber,1 through the integration of subjective truthfulness and objective truth we seek mutual understanding. To achieve this end, my analysis incorporates the three strands of valid knowing (instrumental injunction, direct experience, and communal confirmation), as outlined in chapter two, and the three cultural value spheres (subjective, intersubjective, and objective domains of knowing), also outlined in chapter two, with three sensemaking themes (being there, storytelling, and living together) which emerged directly from the lived experiences of the participants during the course of the field trip.

OntoClean is a methodology for validating the ontological adequacy of taxonomic relationships. It is based on highly general ontological notions drawn from philosophy, like essence, identity, and unity, which are used to characterize relevant aspects of the intended meaning of the properties, classes, and relations that make up an ontology. These aspects are represented by formal metaproperties, which impose several constraints on the taxonomic structure of an ontology.

(aka YALE) data mining, machine learning, knowledge discovery, business intelligence in Java. 400+ operators: data mining incl. Weka,learning,preprocessing,validation,visualization. GUI,API,XML,analysis,knowledge discovery,databases,business intelligenc