1. Exploratory search: New name for an old hat?
Yanan Zhang

2. Why? Information retrieval and Information seeking
“what if the user doesn’t know which keywords to use?”
“what if the user isn’t looking for a single answer?”
Keyword search is limited .
Research has begun to focus on defining the broader set of information behaviors in order to learn about the situations when a user is, or feels.

3. Exploratory search
Exploratory search is a specialization of information exploration which represents the activities carried out by searchers who are either:
a) unfamiliar with the domain of their goal (i.e. need to learn about the topic in order to understand how to achieve their goal)
b) unsure about the ways to achieve their goals (either the technology or the process)
c) or even unsure about their goals in the first place.

4. Exploratory Search in Structured Data: Data Warehouses and OLAP to the Rescue?
by Melanie Herschel
Data warehouses and online analytical processing (OLAP)
Structured data: integrate, data comparison, decision making
Limitations: socialization, comprehension and interpretation, and discovery
DW & OLAP
Exploratory search
Discovery
cannot go beyond queries that the schema of the data warehouse supports
designed to efficiently answer predefined queries
not covered by the rigid schema
reveal things that users of the system did not think about during design time
Adaptation
limited capabilities for changing or evolving information needs
need to be able to adapt to a new and rapidly changing environment
Data and Users
NoSQL databases?
expert users
the masses
human-computer interaction will be key to success.

5. Exploratory Search and Web searching
by Yannis Tzitzikas
Ranking is not enough.
focalized (else called precision-oriented) information needs
The majority of information needs are recall-oriented.
enable easy access to low ranked hits,
allow browsing the relevant hits and resources in groups (according to various criteria),
offer overviews (of variable complexity) of the hits, and let the user to restrict gradually the search results.
Ubiquity
with no predetermined facets
Fusion of Structured and Unstructured Content
User Control
explicit, user-provided, and controllable preference management 
Evaluation

6. Exploratory Search and Multimedia Data
by K. Selcuk Candan
Challenges
Volume, Velocity, and Variety
High-dimensional, Multi-modal (temporal, spatial, hierarchical, and graph-structured)
Imprecision of the media features and Sparsity of the observations in the real-world.
 Systems for multimedia exploration must be able to support, a continuous exploration cycle involving four key steps:
sense & integrate
filter, rank & recommend
visualize & feedback
act & adapt
Development of integrated data platforms that can support, in an optimized and scalable manner, both media analysis and data manipulation operations.

7. Personalizing Data Exploration: Exploring the Past
by Amelie Marian
Leveraging personal data is critical to many data exploration tasks:
Exploring our past
Exploring our social data
Personalizing our data exploration

8. Thank you.