Abstract The Semantic Web contains an enormous amount of information in the form of
knowledge bases (KB). To make this information available, many question answering (QA) …

Simple questions are the most common type of questions used for evaluating a knowledge
graph question answering (KGQA). A simple question is a question whose answer can be …

Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

Abstract Semantic Question Answering (SQA) removes two major access requirements to
the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of …

Within the operational phase buildings are now producing more data than ever before, from
energy usage, utility information, occupancy patterns, weather data, etc. In order to manage …

Question answering over knowledge graphs (KGQA) has evolved from simple single-fact
questions to complex questions that require graph traversal and aggregation. We propose a …

Open data and civic apps: first-generation failures, second-generation improvements Page 1 82
COMMUNICATIONS OF THE ACM | JANUARY 2016 | VOL. 59 | NO. 1 contributed articles …

One of the key principles of data analytics is that the quality of the analysis is dependent on
the quality of the information analysed. Gartner estimates that more than 25% of critical data …

Information professionals performing business activity related investigative analysis must
routinely associate data from a diverse range of Web based general-interest business and …

This open access book explores the dataspace paradigm as a best-effort approach to data
management within data ecosystems. It establishes the theoretical foundations and …