BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20151025T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20150329T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.7094.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260405T115723Z
CREATED:20150710T103807Z
DESCRIPTION:For a long time\, structured business processes (e.g.\, the one
 s of public administrations\, of financial institutions\, etc.) have been 
 the main subject of workflow related research. However\, in recent years\,
  the maturity of process management methodologies has led to the applicati
 on of process-oriented approaches in new challenging and knowledge-intensi
 ve scenarios\, such as healthcare\, emergency management\, coordination of
  large projects\, etc. In these working environments\, most business funct
 ions involve collaborative features and unstructured processes that do not
  have the same level of predictability as the routine structured work. In 
 this talk\, we discuss some recent research techniques we developed during
  the last years that may complement or extend the existing state of the ar
 t of Knowledge-intensive Processes: the discovery of artful processes and 
 the automated adaptation of dynamic processes at runtime.Let us start by c
 onsidering a project manager: every day\, s/he needs to react to unexpecte
 d events\, more than the ordinary work of collaboration\, such as starting
  the draft of a document together with a partner\, setting up a critical b
 usiness meeting with her/his group\, etc. Very often\, managers follow som
 e processes\, which are implicitly known by the managers themselves only. 
 Extracting and formalizing them would allow\, (i) for the manager\, a bett
 er comprehension of her/his methodologies\, along with the opportunity of 
 being assisted by an automated software tool\, and (ii) for the company/or
 ganization s/he works for\, to collect and compare the best business pract
 ices. As a matter of fact\, despite the advent of structured case manageme
 nt tools\, many enterprise processes are still 'run' over email messages. 
 Thus\, reverse engineering workflows of such processes and integrating the
 m with artifacts and other structured processes can paint a true picture o
 f the enterprises process landscape. “Artful processes” are conversely car
 ried out by those people whose work is mental rather than physical (manage
 rs\, professors\, researchers\, engineers\, etc.)\, the so called “knowled
 ge workers”. In contrast to business processes\, which are formalized and 
 standardized\, often artful processes are not even written down\, let alon
 e defined formally\, and can vary from person to person even when those in
 volved are pursuing the same objective. Knowledge workers create such proc
 esses “on the fly” to cope with many of the situations that arise in their
  daily work. Though frequently repeated\, they are not exactly reproducibl
 e even by their originators – since they are not written down – and can no
 t be easily shared either. Their outcomes and information are exchanged ve
 ry often by means of email conversations. The objective of the approach de
 scribed in the first part of the talk\, named MailOfMine\, is thus to auto
 matically build a set of workflow models that represent the artful process
 es laying behind the knowledge workers’ activities\, on top of a collectio
 n of email messages.In the second part of the talk we focus on dynamic pro
 cesses\, a kind of processes that represent activities in highly dynamic s
 ituations\, where context changes or undesirable outcomes of some activiti
 es may occur unpredictably at any time by preventing the achievement of th
 e business goals. Usually\, there is not a clear\, anticipated correlation
  between a change in the context and corresponding process changes\, by ma
 king not possible to predict all possible exceptions at design-time. While
  several approaches have been proposed and implemented for dealing with ex
 pected exceptions via exception handlers typically pre-specified by proces
 s designers at design-time\, our research has been focused on dealing with
  unanticipated exceptions. Such exceptions can be only detected during the
  execution of a process instance\, when a mismatch between the computerize
 d version of the process and the corresponding real- world business proces
 s occurs. To cope with those exceptions\, we propose a Process Management 
 System realization\, namely SmartPM\, which is able to adapt automatically
  dynamic processes at run-time when unanticipated exceptions occur\, witho
 ut the need to define any recovery policy at design-time. To this end\, we
  use a specialized version of the concept of adaptation from the field of 
 agent-oriented programming\; our approach is mainly based on well-establis
 hed techniques and frameworks from Artificial Intelligence\, such as situa
 tion calculus\, IndiGolog and classical planning. BioMassimo Mecella is an
  assistant professor [Ricercatore Universitatio\, settore scientifico disc
 iplinare ING-INF/05] at SAPIENZA Università di Roma\, Italy\, Dipartimento
  di Ingegneria Informatica\, Automatica e Gestionale [Department of Comput
 er\, Control and Management Sciences & Engineering]\, since 2006. He holds
  national qualifications to associate professor both in Computer Science [
 Informatica – 01/B1] and in Engineering in Computer Science [Ingegneria In
 formatica – 09/H1]. He received his PhD in Engineering in Computer Science
  [Dottore di Ricerca in Ingegneria Informatica] from SAPIENZA Università d
 i Roma\, Italy\, in 2002.  His main research interests include Service Ori
 ented Computing\, process management\, CPSs and IoT\, User-centered Design
  (UCD) for complex software systems\, software architectures\, distributed
  technologies and middleware\, CIS - Cooperative Information Systems and W
 WW-based information systems\, software engineering. The previous topics a
 re challenged in the application domains of eGovernment and eBusiness\, sm
 art houses and smart spaces\, healthcare\, disaster/crisis response & mana
 gement. Massimo Mecella has taught since 2002 in the School of Engineering
  of SAPIENZA. As of today\, he has supervised about 100 master theses. He 
 has been the co-advisor of 3 PhD students\, he has been the advisor of 4 P
 hD students and currently he is the advisor of 1 PhD student.Dr. Massimo M
 ecella has been the principal proposer and then technical manager of the E
 uropean projects WORKPAD (FP6\, ended in 2009) and SM4All (FP7\, ended in 
 2011). He has also been the principal investigator for SAPIENZA of 3 Itali
 an projects (MAIS – WP2\, VISPO\, eG4M)\, the principal co-investigator fo
 r SAPIENZA of 2 European Projects (EU-PUBLI.com – FP5\, SemanticGOV – FP6)
 \, the principal investigator for SAPIENZA of 2 EU projects (GreenerBuildi
 ngs – FP7\, SmartVortex – FP7)\, and currently he is the principal co-inve
 stigator for SAPIENZA of the EU project VOICE. Ha has participated in seve
 ral projects\, including DaQuinCIS and GENESIS. Dr. Massimo Mecella is one
  of the founding members of Over Technologies\, a spin-off company of SAPI
 ENZA\, which aims also at delivering on the market the results of the proj
 ects SM4All and GreenerBuildings.Dr. Massimo Mecella has served as reviewe
 r of project proposals for NOW\, Netherlands and Regione Lombardia. He has
  been EU Expert/Reviewer since 2012\, both of project proposals and of fin
 anced projects.
DTSTART;TZID=Europe/Paris:20150715T110000
DTEND;TZID=Europe/Paris:20150715T120000
LAST-MODIFIED:20150714T090112Z
LOCATION:aula A3\, DIAG\, via Ariosto 25\, Roma
SUMMARY:Challenges in Knowledge-intensive Processes: Mining for Semi-struct
 ured Information and Providing Run-time Automated Adaptation - Massimo Mec
 ella
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/7094
END:VEVENT
END:VCALENDAR