[1]
To print or not to print: hybrid learning with METIS learning platform
Sketch it, print it, touch it
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Hailpern, Joshua
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Vernica, Rares
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Bullock, Molly
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Chatow, Udi
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Fan, Jian
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Koutrika, Georgia
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Liu, Jerry
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Liu, Lei
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Simske, Steven
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Wu, Shanchan
ACM SIGCHI 2015 Symposium on Engineering Interactive Computing Systems
2015-06-23
p.206-215
© Copyright 2015 ACM
Summary: As part of the explosion in educational software, online tools, and open
educational resources there has been a rapid devaluation of printed textbooks.
While digital texts have advantages, printed textbooks still provide
irreplaceable value over online media. Therefore technology should enhance,
rather than eliminate printed text. To this end, this paper presents METIS, a
hybrid learning software/service platform that is designed to support active
reading. METIS provides easy digital-to-print-to-digital usage, simple creation
of Cheat Sheets & FlexNotes for personal note taking and organization, and
a custom flexible rendering & publishing engine for education called Aero.
METIS was designed based on lessons learned from a formative study of 523
students at SJSU, and validated through focus groups involving 32 educators and
students at both high school and college levels.
[2]
EDITED BOOK
Search Computing: Broadening Web Search
Lecture Notes in Computer Science 7538
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Ceri, Stefano
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Brambilla, Marco
2012
n.16
p.254
Springer Berlin Heidelberg
DOI: 10.1007/978-3-642-34213-4
== Extraction and Integration ==
Web Data Reconciliation: Models and Experiences (1-15)
+ Blanco, Lorenzo
+ Crescenzi, Valter
+ Merialdo, Paolo
+ Papotti, Paolo
A Domain Independent Framework for Extracting Linked Semantic Data from Tables (16-33)
+ Mulwad, Varish
+ Finin, Tim
+ Joshi, Anupam
Knowledge Extraction from Structured Sources (34-52)
+ Unbehauen, Jörg
+ Hellmann, Sebastian
+ Auer, Sören
+ Stadler, Claus
Extracting Information from Google Fusion Tables (53-67)
+ Brambilla, Marco
+ Ceri, Stefano
+ Cinefra, Nicola
+ Sarma, Anish Das
+ Forghieri, Fabio
+ et al
Materialization of Web Data Sources (68-81)
+ Bozzon, Alessandro
+ Ceri, Stefano
+ Zagorac, Srdan
== Query and Visualization Paradigms ==
Natural Language Interfaces to Data Services (82-97)
+ Guerrisi, Vincenzo
+ Torre, Pietro La
+ Quarteroni, Silvia
Mobile Multi-domain Search over Structured Web Data (98-110)
+ Aral, Atakan
+ Akin, Ilker Zafer
+ Brambilla, Marco
Clustering and Labeling of Multi-dimensional Mixed Structured Data (111-126)
+ Brambilla, Marco
+ Zanoni, Massimiliano
Visualizing Search Results: Engineering Visual Patterns Development for the Web (127-142)
+ Morales-Chaparro, Rober
+ Preciado, Juan Carlos
+ Sánchez-Figueroa, Fernando
== Exploring Linked Data ==
Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queries (143-156)
+ Bozzon, Alessandro
+ Valle, Emanuele Della
+ Magliacane, Sara
Thematic Clustering and Exploration of Linked Data (157-175)
+ Castano, Silvana
+ Ferrara, Alfio
+ Montanelli, Stefano
Support for Reusable Explorations of Linked Data in the Semantic Web (176-190)
+ Cohen, Marcelo
+ Schwabe, Daniel
== Games, Social Search and Economics ==
A Survey on Proximity Measures for Social Networks (191-206)
+ Cohen, Sara
+ Kimelfeld, Benny
+ Koutrika, Georgia
Extending Search to Crowds: A Model-Driven Approach (207-222)
+ Bozzon, Alessandro
+ Brambilla, Marco
+ Ceri, Stefano
+ Mauri, Andrea
BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game (223-239)
+ Hees, Jörn
+ Roth-Berghofer, Thomas
+ Biedert, Ralf
+ Adrian, Benjamin
+ Dengel, Andreas
An Incentive-Compatible Revenue-Sharing Mechanism for the Economic Sustainability of Multi-domain Search Based on Advertising (240-254)
+ Brambilla, Marco
+ Ceppi, Sofia
+ Gatti, Nicola
+ Gerding, Enrico H.
[3]
Flexible recommendations over rich data
Posters
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Koutrika, Georgia
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Ikeda, Robert
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Bercovitz, Benjamin
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Garcia-Molina, Hector
Proceedings of the 2008 ACM Conference on Recommender Systems
2008-10-23
p.203-210
© Copyright 2008 ACM
Summary: CourseRank is a course planning tool aimed at helping students at Stanford.
Recommendations comprise an integral part of it. However, implementing existing
recommendation methods leads to fixed recommendations that cannot adapt to each
particular student's changing requirements and do not help exploit the full
extent of the available learning opportunities at the university. In this
paper, we describe the concept of a flexible recommendation workflow, i.e., a
high-level description of a parameterized process for computing
recommendations. The input parameters of a flexible recommendation process
comprise the "knobs" that control the final output and hence generate flexible
recommendations. We describe how flexible recommendations can be expressed over
a relational database and we present our prototype system that allows defining
and executing different, fully-parameterized, recommendation workflows over
relational data. Finally, we describe a user interface in CourseRank that
allows students customize recommendations.
[4]
Combating spam in tagging systems: An evaluation
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Koutrika, Georgia
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Effendi, Frans Adjie
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Gyöngyi, Zoltán
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Heymann, Paul
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Garcia-Molina, Hector
ACM Transactions on The Web
2008-10
v.2
n.4
p.22
© Copyright 2008 ACM
Summary: Tagging systems allow users to interactively annotate a pool of shared
resources using descriptive strings called tags. Tags are used to guide users
to interesting resources and help them build communities that share their
expertise and resources. As tagging systems are gaining in popularity, they
become more susceptible to tag spam: misleading tags that are generated in
order to increase the visibility of some resources or simply to confuse users.
Our goal is to understand this problem better. In particular, we are interested
in answers to questions such as: How many malicious users can a tagging system
tolerate before results significantly degrade? What types of tagging systems
are more vulnerable to malicious attacks? What would be the effort and the
impact of employing a trusted moderator to find bad postings? Can a system
automatically protect itself from spam, for instance, by exploiting user tag
patterns? In a quest for answers to these questions, we introduce a framework
for modeling tagging systems and user tagging behavior. We also describe a
method for ranking documents matching a tag based on taggers' reliability.
Using our framework, we study the behavior of existing approaches under
malicious attacks and the impact of a moderator and our ranking method.
[5]
An Enhanced Search Interface for Information Discovery from Digital
Libraries
Retrieval
/
Koutrika, Georgia
/
Simitsis, Alkis
ECDL 2006: Proceedings of the European Conference on Digital Libraries
2006-09-17
p.87-98
© Copyright 2006 Springer-Verlag
Summary: Libraries, museums, and other organizations make their electronic contents
available to a growing number of users on the Web. A large fraction of the
information published is stored in structured or semi-structured form. However,
most users have no specific knowledge of schemas or structured query languages
for accessing information stored in (relational or XML) databases. Under these
circumstances, the need for facilitating access to information stored in
databases becomes increasingly more important. Précis queries are
free-form queries that instead of simply locating and connecting values in
tables, they also consider information around these values that may be related
to them. Therefore, the answer to a précis query might also contain
information found in other parts of the database. In this paper, we describe a
précis query answering prototype system that generates personalized
presentation of short factual information précis in response to keyword
queries.
