MB
Marco Brambilla
Authored
20 records found
COCTEAU
An Empathy-Based Tool for Decision-Making
Traditional approaches to data-informed policymaking are often tailored to specific contexts and lack strong citizen involvement and collaboration, which are required to design sustainable policies. We argue the importance of empathy-based methods in the policymaking domain given
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Search computing
Multi-domain search on ranked data
We demonstrate the Search Computing framework for multi-domain queries upon ranked data collected from Web sources. Search Computing answers to queries like "Find a good Jazz concert close to a specified location, a good restaurant and a hotel at walking distance" and fills the g
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Search computing
Multi-domain search on ranked data
We demonstrate the Search Computing framework for multi-domain queries upon ranked data collected from Web sources. Search Computing answers to queries like "Find a good Jazz concert close to a specified location, a good restaurant and a hotel at walking distance" and fills the g
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Liquid query
Multi-domain exploratory search on the web
In this paper we propose the Liquid Query paradigm, to support users in finding responses to multi-domain queries through exploratory information seeking across structured information sources (Web documents, deep Web data, and personal data repositories), wrapped by means of a un
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Chapter 13
Liquid queries and liquid results in search computing
Liquid queries are a flexible tool for information seeking, based on the progressive exploration of the search space; they produce "fluid" results which dynamically adapt to the shape of the query, as a liquid adapts to its container. The liquid query paradigm relies on the SeCo
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Chapter 13
Liquid queries and liquid results in search computing
Liquid queries are a flexible tool for information seeking, based on the progressive exploration of the search space; they produce "fluid" results which dynamically adapt to the shape of the query, as a liquid adapts to its container. The liquid query paradigm relies on the SeCo
...
Chapter 14
Building search computing applications
Search Computing aims at opening the Web to a new class of search applications, by offering enhanced expressive and computational power. The success of Search Computing, as of any technical advance, will be measured by its impact upon the search industry and market, and this in t
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Search computing
Managing complex search queries
Search computing focuses on building answers to complex search queries (for example, "Where can I attend an interesting conference in my field near a sunny beach?") by interacting with a constellation of cooperating search services, and using result ranking and joining as the dom
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Model-driven development of audio-visual web search applications
The pharos demonstration
PHAROS is an EU-founded project aimed at building a platform for advanced audiovisual search applications. In this demo we show the application of a Model-Driven Development (MDD) approach to the PHAROS demonstrator, which consists of an audio-visual Web search portal. The demo h
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Early environmental quality and life-course mental health effects
The Equal-Life project
Background:
There is increasing evidence that a complex interplay of factors within environments in which children grows up, contributes to children’s suboptimal mental health and cognitive development. The concept of the life-course exposome helps to study the impact of the phy
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Bringing internet architectures into the plant
The case of HMI
This paper presents a novel approach to the design of Human Machine Interface (HMI) systems to be adopted in the supervision of industrial plants. We describe how well known technologies and practices can be transferred from internet-based architectures to embedded systems. We pr
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Choosing the right crowd
Expert finding in social networks
Expert selection is an important aspect of many Web applications, e.g., when they aim at matching contents, tasks or advertisement based on user profiles, possibly retrieved from social networks.
This paper focuses on selecting experts within the population of social networks, a
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Extending search to crowds
A model-driven approach
In many settings, the human opinion provided by an expert or knowledgeable user can be more useful than factual information retrieved by a search engine. Search systems do not capture the subjective opinions and recommendations of friends, or fresh, online-provided information th
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Extending search to crowds
A model-driven approach
In many settings, the human opinion provided by an expert or knowledgeable user can be more useful than factual information retrieved by a search engine. Search systems do not capture the subjective opinions and recommendations of friends, or fresh, online-provided information th
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Machine learning (ML) practitioners and organizations are building model repositories of pre-trained models, referred to as model zoos. These model zoos contain metadata describing the properties of the ML models and datasets. The metadata serves crucial roles for reporting, audi
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Web users are increasingly relying on social interaction to complete and validate the results of their search activities. While search systems are superior machines to get world-wide information, the opinions collected within friends and expert/local communities can ultimately de
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We demonstrate Liquid Queries, a novel user interaction paradigm for exploratory multi-domain search upon structured information collected from heterogeneous data sources. Liquid Queries support an exploratory search approach by providing a set of interaction primitives for multi
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We demonstrate Liquid Queries, a novel user interaction paradigm for exploratory multi-domain search upon structured information collected from heterogeneous data sources. Liquid Queries support an exploratory search approach by providing a set of interaction primitives for multi
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This chapter focuses on the visualization of multi-domain search results. We start by positioning the problem in the recent line of evolution of search engine interfaces, which more and more are capable of mining semantic concepts and associations from text data and presenting th
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