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Extending BCDM to support cooperative work. Paolo Terenziani, Alessio Bottrighi, Stefania Montani Dipartimento di Informatica, Univ. Piemonte Orientale, Alessandria, Italy Luca Anselma, Dipartimento di Informatica, Univ. Torino, Italy. Outline. Introduction Goals and Criteria Data Model
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Extending BCDM to support cooperative work Paolo Terenziani, Alessio Bottrighi, Stefania Montani Dipartimento di Informatica, Univ. Piemonte Orientale, Alessandria, Italy Luca Anselma, Dipartimento di Informatica, Univ. Torino, Italy
Outline • Introduction • Goals and Criteria • Data Model • Manipulation operations • Algebra • Conclusions
Introduction (1/5) Cooperative work: • Important, e.g. software development - Multiple alternative proposals - Selection • Software engineering tools
Introduction (2/5) Cooperative work: • Analogous problems using DBs to model complex domains • Incremental modeling, cooperative work
Introduction (3/5) The case of clinical guidelines: • General guideline proposed by a standardization committee • Proposals of update • Local contextualization • New therapies • Evaluation of proposals * Guideline to be stored in a DB
Introduction (4/5)Open issues Augmenting DB approaches to support cooperative work, i.e.: • Distinction between proposals and acceptance/rejection • History of the evolution of the proposals • Alternative proposals * Notice: usual semantics of (relational) DBs, conjunction of tuples
Introduction (5/5)Context • Both VT and TT should be supported • “Consensus” approach (TSQL2) with a high-level semantics (BCDM) • BCDM supports several TDB implementations (not only TSQL2)
Goals (1/3) • Extending BCDM to support cooperative updates • Propose vs accept/reject • Alternative proposals of updates Notice: underlined implementation
Criteria (2/3) • Under-constrained policy: • Super user vs user • Super user operations:standard + accept/reject proposals • User operations: • delete (not proposals) • Insert • Update (chains allowed) * Notice: easy to specializeE.g.: policy 1: super users can only accept/reject
Criteria (3/3) • “Minimal” extension of BCDM: • Upward compatibility (manipulation operations) • Reducibility (algebra)
Data Model (1/9) Two data levels needed: • Super users (accepted) data • User proposals * Notice: proposals need to be maintained and affect super-user data only if/when accepted
Data Model (2/9) Authoring Note: author as a data attribute - Basically a “standard”: attribute (however, author cannot be modified)
Data Model (3/9) Super user data • Standard BCDM
Data Model (4/9)user proposals For each super-user relation r: • pi(r): set of insert proposals in r • pd(r): set of proposals of deletion of tuples in r • pu(r): set of updates of tuples (in r, pi(r), pu(r))
Data Model (5/9)insert proposals pi(r) is a set of standard BCDM tuples
Data Model (6/9)delete proposals pd(r) is a set of standard transaction-time tuples * Notice: no value-equivalent data in r VT not needed
Data Model (7/9)update proposals Update involves: • An origin tuple to be updated (time not needed) • A new temporal tuple (standard BCDM tuple) * Notice: multiple update proposals involving the same origin are in alternative
Data Model (8/9)update proposals Definition: proposal tuple • An origin • A non empty set of (bi)temporal tuples Interpretation: disjunctive set of alternative proposals (each one is a BCDM tuple)
Data Model (9/9)update proposals pu(r) is a set of proposal tuples on r Property: uniqueness of representation
Manipulation operations • E.g.: propose update *** * Notice: value equivalent proposals for the same origin are not allowed
Manipulation operations • E.g.: accept update proposal *** • Notice: the alternatives of the selected updated are not allowed
Manipulation Operations “two level” check on legal operations • 1) Proposal Time • Super: <a, vt1> • Propose_update (x | <a, vt2>) REJECTED • 2) Evaluation Time
Manipulation operations Property 1. Upward compatibility Moreover, if Policy 1 is adopted: Property 2. “Semantic” upward compatibility
Algebraic operations • Standard BCDM algebraic operations for super-user and for pi and pd • Conversion operations on pu: origin(pu(r)) = { o \ <o, {a1,…, an}> pu(r)} alternative(pu(r)) = Schema(r)BCDM({{a1,…, an} \ <o, {a1,…, an}> pu(r)}
Algebraic operations E.g.: natural join: ***
Algebraic operations Definition: conv *** Property conv( OpA( pu(r) ) ) = opBCDM( conv( pu(r) ) ) * Note: underlying possible implementation
Conclusions • Problem of cooperative update is important • New problem in DB field • BCDM extended to support: • Data model • Manipulation operations • Algebra • Upward compatibility • Implementation