Name
Title | ||
|---|---|---|
Semantic Modeling and Inference with Episodic Organization for Managing Personal Digital Traces - (Short Paper). |
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2017 | OTM Conferences | Data science,World Wide Web,Abstraction,Social media,Conceptual model,Computer science,Inference,Prospective memory,Hierarchical organization,Scripting language,Semantics of logic |
DocType | Citations | PageRank |
Conference | 1 | 0.41 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Varvara Kalokyri | 1 | 18 | 4.68 |
| Alexander Borgida | 2 | 2521 | 986.29 |
| Amélie Marian | 3 | 1280 | 77.92 |
| Daniela Vianna | 4 | 4 | 1.50 |