planning - designing - developing IT
Special Interest Group on Systems Analysis and Design

Publications

Keys with Probabilistic Intervals

0
Probabilistic databases accommodate well the requirements of modern applications that produce large volumes of uncertain data from a variety...

On Referring Expressions in Information Systems Derived from Conceptual Modelling

0
We apply recent work on referring expression types to the issue of identification in Conceptual Modelling. In particular, we...

DeepTelos: Multi-level Modeling with Most General Instances

0
Multi-level modeling aims to reduce redundancy in data models by defining properties at the right abstraction level and inheriting...

Pragmatic Quality Assessment for Automatically Extracted Data

0
Automatically extracted data is rarely “clean” with respect to pragmatic (real-world) constraints—which thus hinders applications that depend on quality...

UnifiedOCL: Achieving System-Wide Constraint Representations

0
Constraint definitions tend to be distributed across the components of an information system using a variety of technology-specific representations....

Building Large Models of Law with NómosT

0
Laws and regulations impact the design of software systems, as they introduce new requirements and constrain existing ones. The...

An Efficient and Simple Graph Model for Scientific Article Cold Start Recommendation

0
Since there is little history information for the newly published scientific articles, it is difficult to recommend related new...

Keyword Queries over the Deep Web

0
The Deep Web is constituted by data that are accessible through Web pages, but not indexable by search engines...

Sensor Observation Service Semantic Mediation: Generic Wrappers for In-Situ and Remote Devices

0
In-situ and remote sensors produce data that fit different data modeling paradigms, namely, Entity/Relationship paradigm for the former and...

Key Performance Indicator Elicitation and Selection Through Conceptual Modelling

0
Key Performance Indicators (KPIs) operationalize ambiguous enterprise goals into quantified variables with clear thresholds. Their usefulness has been established...