TY - GEN
T1 - Semantic modeling and inference with episodic organization for managing personal digital traces
T2 - Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017
AU - Kalokyri, Varvara
AU - Borgida, Alexander
AU - Marian, Amélie
AU - Vianna, Daniela
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - Many individuals generate a flood of personal digital traces (e.g., emails, social media posts, web searches, calendars) as a byproduct of their daily activities. To facilitate querying and to support natural retrospective and prospective memory of these, a key problem is to integrate them in some sensible manner. For this purpose, based on research in the cognitive sciences, we propose a conceptual modeling language whose novel features include (i) the super-properties “who, what, when, where, why, how” applied uniformly to both documents and autobiographic events; and (ii) the ability to describe prototypical plans (“scripts”) for common everyday events, which in fact generate personal digital documents as traces. The scripts and wh-questions support the hierarchical organization and abstraction of the original data, thus helping end-users query it. We illustrate the use of our language through examples, provide formal semantics, and present an algorithm to recognize script instances.
AB - Many individuals generate a flood of personal digital traces (e.g., emails, social media posts, web searches, calendars) as a byproduct of their daily activities. To facilitate querying and to support natural retrospective and prospective memory of these, a key problem is to integrate them in some sensible manner. For this purpose, based on research in the cognitive sciences, we propose a conceptual modeling language whose novel features include (i) the super-properties “who, what, when, where, why, how” applied uniformly to both documents and autobiographic events; and (ii) the ability to describe prototypical plans (“scripts”) for common everyday events, which in fact generate personal digital documents as traces. The scripts and wh-questions support the hierarchical organization and abstraction of the original data, thus helping end-users query it. We illustrate the use of our language through examples, provide formal semantics, and present an algorithm to recognize script instances.
KW - Conceptual model
KW - Personal digital traces
KW - Plan recognition
KW - Scripts
UR - http://www.scopus.com/inward/record.url?scp=85032656602&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032656602&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-69459-7_19
DO - 10.1007/978-3-319-69459-7_19
M3 - Conference contribution
AN - SCOPUS:85032656602
SN - 9783319694580
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 273
EP - 280
BT - On the Move to Meaningful Internet Systems. OTM 2017 Conferences - Confederated International Conferences
A2 - Paschke, Adrian
A2 - Debruyne, Christophe
A2 - Gaaloul, Walid
A2 - Papazoglou, Mike
A2 - Panetto, Herve
A2 - Ardagna, Claudio Agostino
A2 - Meersman, Robert
PB - Springer Verlag
Y2 - 23 September 2017 through 27 September 2017
ER -