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- ArticleJune 2023
Set Selection Under Explorable Stochastic Uncertainty via Covering Techniques
Integer Programming and Combinatorial OptimizationPages 319–333https://doi.org/10.1007/978-3-031-32726-1_23AbstractGiven subsets of uncertain values, we study the problem of identifying the subset of minimum total value (sum of the uncertain values) by querying as few values as possible. This set selection problem falls into the field of explorable uncertainty ...
- research-articleDecember 2021
Queryable Compression on Time-evolving Web and Social Networks with Streaming
ACM Transactions on the Web (TWEB), Volume 16, Issue 2Article No.: 6, Pages 1–21https://doi.org/10.1145/3495012Time-evolving web and social network graphs are modeled as a set of pages/individuals (nodes) and their arcs (links/relationships) that change over time. Due to their popularity, they have become increasingly massive in terms of their number of nodes, ...
- short-paperMarch 2021
Bridging Task Expressions and Search Queries
CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and RetrievalPages 319–323https://doi.org/10.1145/3406522.3446045People engage in search episodes as they have a task or a problematic situation. Often this task is not clearly expressed by the information seeker, nor directly supported by the search system. People also list their tasks using tools such as to-do ...
- research-articleMarch 2021
QueryBlazer: Efficient Query Autocompletion Framework
WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data MiningPages 1020–1028https://doi.org/10.1145/3437963.3441725Query autocompletion is an essential feature in search engines that predicts and suggests query completions to a user's incomplete prefix input, a critical feature to enhance the user experience. While a generic lookup-based system can provide ...
- demonstrationOctober 2020
MMINT-A 2.0: tool support for the lifecycle of model-based safety artifacts
MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion ProceedingsArticle No.: 15, Pages 1–5https://doi.org/10.1145/3417990.3422012In recent years, the complexity of safety-critical systems such as automotive systems has been rapidly increasing. The need to address safety concerns in such systems led to the development of industry-specific safety standards. The standards mandate ...
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- research-articleAugust 2020
The ICARUS Ontology: A general aviation ontology developed using a multi-layer approach
- Dimosthenis Stefanidis,
- Chrysovalantis Christodoulou,
- Moysis Symeonidis,
- George Pallis,
- Marios Dikaiakos,
- Loukas Pouis,
- Kalia Orphanou,
- Fenareti Lampathaki,
- Dimitrios Alexandrou
WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and SemanticsPages 21–32https://doi.org/10.1145/3405962.3405983The management of aviation data is a great challenge in the aviation industry, as they are complex and can be derived from heterogeneous data sources. To handle this challenge, ontologies can be applied to facilitate the modelling of the data across ...
- research-articleAugust 2021
Querying automotive system models and safety artifacts with MMINT and viatra
MODELS '19: Proceedings of the 22nd International Conference on Model Driven Engineering Languages and SystemsPages 2–11https://doi.org/10.1109/MODELS-C.2019.00008In recent years, the automotive domain has increased its reliance on model based-software development. Models in the automotive domain have the qualities of being heterogenous, large and interconnected through traceability links. When introducing safety ...
- research-articleAugust 2019
PATHFINDER: Storage and Indexing of Massive Trajectory Sets
SSTD '19: Proceedings of the 16th International Symposium on Spatial and Temporal DatabasesPages 90–99https://doi.org/10.1145/3340964.3340978We consider the problem of indexing massive trajectory data in an underlying road network. Our Pathfinder index structure is based on a state-of-the-art speed-up technique for shortest path planning and allows to both compress and access huge amounts of ...
- research-articleJanuary 2019
ICRA: index based cache replacement algorithm for cloud storage
International Journal of Sensor Networks (IJSNET), Volume 29, Issue 1Pages 48–57https://doi.org/10.1504/ijsnet.2019.097556Meteorological dataset is usually big and has a clear field. Due to its text form, each read and display will take up more system resources. In addition, the loading speed of the webpage also affects the user's online experience. According to these ...
- research-articleMarch 2018
Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web
CHIIR '18: Proceedings of the 2018 Conference on Human Information Interaction & RetrievalPages 2–11https://doi.org/10.1145/3176349.3176381Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives, but little is known about how a user»s knowledge evolves through the course of a search session. We present a study addressing the knowledge ...
- research-articleNovember 2017
Query and Animate Multi-attribute Trajectory Data
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementPages 2551–2554https://doi.org/10.1145/3132847.3133178The widespread use of GPS-enabled devices has led to huge amounts of trajectory data. In addition to location and time, trajectories are associated with descriptive attributes representing different aspects of real entities, called multi-attribute ...
- research-articleDecember 2016
Efficient Processing of Mobile Crowdsourcing Queries with Multiple Sub-tasks for Facilitating Smart Cities
SmartCities '16: Proceedings of the 2nd International Workshop on SmartArticle No.: 8, Pages 1–6https://doi.org/10.1145/3009912.3009916The proliferation and ever-increasing popularity of mobile devices have dramatically increased the potential for mobile crowdsourcing across a wide gamut of applications that are relevant to smart cities. While existing works have mostly focused on ...
- surveyNovember 2016
The Goal Behind the Action: Toward Goal-Aware Systems and Applications
ACM Transactions on Database Systems (TODS), Volume 41, Issue 4Article No.: 23, Pages 1–43https://doi.org/10.1145/2934666Human activity is almost always intentional, be it in a physical context or as part of an interaction with a computer system. By understanding why user-generated events are happening and what purposes they serve, a system can offer a significantly ...
- research-articleMay 2016
Custard: Computing Norm States over Information Stores
AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent SystemsPages 1096–1105Norms provide a way to model the social architecture of a sociotechnical system (STS) and are thus crucial for understanding how such a system supports secure collaboration between principals, that is, autonomous parties such as humans and ...
- research-articleFebruary 2015
Fast and Space-Efficient Entity Linking for Queries
WSDM '15: Proceedings of the Eighth ACM International Conference on Web Search and Data MiningPages 179–188https://doi.org/10.1145/2684822.2685317Entity linking deals with identifying entities from a knowledge base in a given piece of text and has become a fundamental building block for web search engines, enabling numerous downstream improvements from better document ranking to enhanced search ...
- research-articleJanuary 2015
Eugenie: Multi-Touch and Tangible Interaction for Bio-Design
TEI '15: Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied InteractionPages 217–224https://doi.org/10.1145/2677199.2680605We present a case study of applying TEI research to a data-intense scientific workflow that requires the exploration of large datasets through the construction of complex queries. We describe our two-year-long effort and design iterations of Eugenie, an ...
- research-articleApril 2014
Exploring the design space of gestural interaction with active tokens through user-defined gestures
- Consuelo Valdes,
- Diana Eastman,
- Casey Grote,
- Shantanu Thatte,
- Orit Shaer,
- Ali Mazalek,
- Brygg Ullmer,
- Miriam K. Konkel
CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsPages 4107–4116https://doi.org/10.1145/2556288.2557373Multi-touch and tangible interfaces provide unique opportunities for enhancing learning and discovery with big data. However, existing interaction techniques have limitations when manipulating large data sets. Our goal is to define novel interaction ...
- posterMay 2013
Introducing search behavior into browsing based models of page's importance
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide WebPages 129–130https://doi.org/10.1145/2487788.2487850BrowseRank algorithm and its modifications are based on analyzing users' browsing trails. Our paper proposes a new method for computing page importance using a more realistic and effective search-aware model of user browsing behavior than the one used ...
- research-articleJanuary 2013
Learnability of DNF with representation-specific queries
ITCS '13: Proceedings of the 4th conference on Innovations in Theoretical Computer SciencePages 37–46https://doi.org/10.1145/2422436.2422441We study the problem of PAC learning the class of DNF formulas with a type of natural pairwise query specific to the DNF representation. Specifically, given a pair of positive examples from a polynomial-sized sample, we consider boolean queries that ask ...
- ArticleDecember 2012
An Empirical Analysis of Semantic Techniques Applied to a Network Management Classification Problem
Semantic technologies are increasingly being employed to integrate, relate and classify heterogeneous data from various problem domains. To date, however, little empirical analysis has been carried out to help identify the benefits and limitations of ...