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Steps Towards a Theory of Information Preservation Giorgos Flouris, Carlo Meghini Istituto di Scienza e Tecnologie dell’ Informazione (ISTI) CNR, Pisa,

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Presentation on theme: "Steps Towards a Theory of Information Preservation Giorgos Flouris, Carlo Meghini Istituto di Scienza e Tecnologie dell’ Informazione (ISTI) CNR, Pisa,"— Presentation transcript:

1 Steps Towards a Theory of Information Preservation Giorgos Flouris, Carlo Meghini Istituto di Scienza e Tecnologie dell’ Informazione (ISTI) CNR, Pisa, Italy {flouris,meghini}@isti.cnr.it Invited Talk (PresDB-07)

2 23/03/2007Giorgos Flouris, PresDB-072 Introduction Preservation: –Very important, difficult and interesting problem –Need for preservation is self-evident Notes on this work: –Ongoing work for CASPAR (suggestions welcome) –About digital objects (not about databases, but can be applied to databases) –The focus of this work is not to perform preservation, but to describe formally what it means to perform preservation

3 23/03/2007Giorgos Flouris, PresDB-073 Purpose We are trying to come up with a formal, mathematical, logic-based description of preservation as a scientific discipline, to the end of deriving a methodology resting on solid grounds (then, we will try to apply this methodology to CASPAR)

4 23/03/2007Giorgos Flouris, PresDB-074 The Need for a Theory of Information Preservation Why is such a theory important? –A formal, theoretical, mathematical framework allows the proof of impossibility and existential results –Allows us to ground existing (and future) methods upon a common formalism for comparison –Provides a set of formal desirable properties for existing and future preservation methods –Allows proving that a preservation method works well (or does not work well) Where practitioners believe, a theory can prove

5 23/03/2007Giorgos Flouris, PresDB-075 Preservation Types The first letter of the English alphabet PRODUCERCONSUMER Knowledge Level Symbol Level Understands Concept Reads Symbol Writes Symbol Understands Concept Reads Bits Writes Bits KR Level Information Preservation Data (or Object) Preservation Bit Preservation A 01000001 A Time

6 23/03/2007Giorgos Flouris, PresDB-076 Preservation Types Example CityTemperatureDate Athens1208/03/07 Pisa1106/03/07 Edinburgh811/03/07 Bit Preservation: Database is not corrupt (error correction techniques, backups, refreshment of media) Data Preservation: Database can be opened (preserve format specification) Information Preservation: Database can be understood (temperatures in Celsius, dates in dd/mm/yy)

7 23/03/2007Giorgos Flouris, PresDB-077 Statics Digital Object and UCK A digital object depends on external information: –Bit Format (ASCII codes, integer representation, …) –Symbols’ Format (23/03/07 or 03/23/07) –Background Knowledge (what is the meaning of 23/03/07) A digital object is attached to a single Underlying Community Knowledge (UCK) that contains this information Therefore: –A digital object carries no meaning by itself –Its meaning (semantics) is derived from the attached UCK

8 23/03/2007Giorgos Flouris, PresDB-078 Statics Schematically

9 23/03/2007Giorgos Flouris, PresDB-079 Information to be Preserved: Questions and Answers Digital object: a set of questions and answers –Not all information in a digital object needs to be preserved –Example: a document (content, format, fonts, pagination) The exact information to be preserved depends on: –Type of digital object –Producer’s intentions –Digital object’s intended reader (Designated Community) –Legal issues –Practical considerations –…

10 23/03/2007Giorgos Flouris, PresDB-0710 Statics Information Preservation Structure (IPS) IPS = UCK + Digital Object –UCK: –Digital Object: L is further broken down: –L= IPS UCK Digital Object LTQans L V VIVI P PCPC ⊧

11 23/03/2007Giorgos Flouris, PresDB-0711 IPS and Preservation Models Preservation models provide a methodological framework for determining the content of an IPS –OAIS (ISO standard 14721:2003) Representation Information (UCK) –Structural Information –Semantic Information Preservation Description Information (questions and answers) –Provenance –Reference –Context –Fixity Digital object’s content (questions and answers)

12 23/03/2007Giorgos Flouris, PresDB-0712 Purpose of Preservation

13 23/03/2007Giorgos Flouris, PresDB-0713 Preservation and Change UCK evolves –If digital objects remained the same, they would be either unreadable or would carry the wrong meaning Thus we need a methodology that will indicate the appropriate changes to all digital objects attached to a UCK, as a function of: –The old digital object –The old UCK (producer’s UCK) –The new UCK (consumer’s UCK) –The UCK evolution specification

14 23/03/2007Giorgos Flouris, PresDB-0714 Belief Change, Ontology Evolution and Information Preservation (1) Initial thought: use well-established methods from belief change (belief revision) and ontology evolution Not possible, in general: –The UCK may be a logic not supported by the above fields –Changes may affect the logic itself –Changes may be of infinite nature –Input/output may be different Example: Roman to Arabic numerals – III  3 – IV  4 – …

15 23/03/2007Giorgos Flouris, PresDB-0715 Belief Change, Ontology Evolution and Information Preservation (2) However, it is possible under some assumptions: –The logic does not change –The logic in UCK is supported –Old UCK and digital object are known, evolution is known –Change can be finitely described using standard models Example from astronomy: –Pluto was a Planet –Planet definition changed recently (24/08/06, Prague) –Pluto reclassified as a Dwarf Planet

16 23/03/2007Giorgos Flouris, PresDB-0716 Dynamics Schematically (Idealized Case) Producer Consumer

17 23/03/2007Giorgos Flouris, PresDB-0717 Dynamics Schematically (General Case) Producer Consumer Expanded Various levels of preservation: complete, essential, modulo logical equivalence, indirect, approximate, partial, …

18 23/03/2007Giorgos Flouris, PresDB-0718 Dynamics IPS Evolution Structure (IPSES) IPS UCK Digital Object LTQans L V VIVI P PCPC ⊧ Producer IPS UCK Digital Object LTQans L V VIVI P PCPC ⊧ Expanded IPS UCK Digital Object LTQans L V VIVI P PCPC ⊧ Consumer ⊇ Mapping needs a finite representation: Turing Machines IPSES’ definition is incomplete Need a way to compute the green arrow from the information given (old digital object, producer’s UCK, consumer’s UCK, IPSES) IPSES

19 23/03/2007Giorgos Flouris, PresDB-0719 Putting it All Together General Ideas What is preservation? Preservation is the process of retaining the meaning of a digital object unaltered for readers with different background, software, hardware etc What are the preservation types? Bit Preservation Bits are not corrupt Data Preservation Bits’ format is understood/read Information Preservation Information is understood

20 23/03/2007Giorgos Flouris, PresDB-0720 Putting it All Together Statics What is a digital object? A digital object is a sequence of bits (no meaning) What gives meaning to a digital object? The underlying (often implicit) format, knowledge, symbols’ meaning etc, represented by UCK What should be preserved? A set of questions and their answers How do we determine the content of an IPS? Preservation models can help

21 23/03/2007Giorgos Flouris, PresDB-0721 Putting it All Together Dynamics (General) Why is preservation needed? Underlying knowledge (UCK) evolves; if digital objects remained the same, they would be not understood or be misunderstood When is preservation achieved? When digital objects retain their meaning Can other research fields help? Belief Revision and Ontology Evolution, but only partially

22 23/03/2007Giorgos Flouris, PresDB-0722 Putting it All Together Dynamics (IPSES) How can we describe UCK evolution? Using an expanded UCK, plus a mapping and a number of correspondences between the UCKs Is preservation always possible? No; various levels of preservation How should digital objects evolve? Open question; a function of the old digital object, the two UCKs and the UCK evolution information (IPSES)

23 23/03/2007Giorgos Flouris, PresDB-0723 Future Work Calculate the evolution of the digital object as a function of: –Old digital object –Producer’s UCK –Consumer’s UCK –IPSES (evolution information) Ongoing work: refinements might be required Extensive testing of the theory (real-world examples) Tie the theory to more useful in practice structures

24 23/03/2007Giorgos Flouris, PresDB-0724 Acknowledgements This work was carried out during Giorgos Flouris’ tenure of an ERCIM “Alain Bensoussan” Fellowship Programme. This work was partially supported by the EU project CASPAR (FP6-2005-IST-033572).

25 23/03/2007Giorgos Flouris, PresDB-0725 BACKUP SLIDES

26 23/03/2007Giorgos Flouris, PresDB-0726 The last letter of the English alphabet Preservation Types Revisited The 6 th letter of the Greek Alphabet PRODUCERCONSUMER Knowledge Level Symbol Level Understands Concept Reads Symbol Writes Symbol Understands Concept Reads Bits Writes Bits KR Level Information Preservation Data (or Object) Preservation Bit Preservation Z 01011010 Z

27 23/03/2007Giorgos Flouris, PresDB-0727 Preservation Types Joke Analogy In order to laugh at a joke, you must: –Hear the joke (bit preservation) The sound waves should reach your ears; if you are in another room, you won’t laugh at the joke –Understand the joke (data preservation) You should understand the language; if I say a joke in Greek, you won’t laugh at the joke –Understand the context of the joke (information preservation) You should understand what the joke is about; if I say a joke about the political situation in Greece, you won’t laugh at the joke

28 23/03/2007Giorgos Flouris, PresDB-0728 Statics Underlying Community Knowledge (UCK) UCK: a logical formalism, plus a logical theory Because logics are: –Formal –Able to express knowledge –Suitable to capture question-answering (using inference) –Well-studied, mature, well-established field with rich results –Allow building theories to express background knowledge We don’t embrace any particular logic

29 23/03/2007Giorgos Flouris, PresDB-0729 Contents of a UCK Common Knowledge Knowledge P1 Knowledge P2 Knowledge P3 Digital Object Knowledge C1 Knowledge C2 UCK ProducerIntended Consumer

30 23/03/2007Giorgos Flouris, PresDB-0730 Dynamics Notes on IPSES IPS Evolution Structure (IPSES): –IPSES = UCK + mapping Exact specification of the change (no side-effects) –Usually change is partially specified (has side-effects) –Determining side-effects is orthogonal to preservation Change may be infinite (finite representation needed) –Example: Roman and Arabic numerals –Need Turing Machines to represent the mapping


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