22,354 research outputs found
Multi-Paradigm Reasoning for Access to Heterogeneous GIS
Accessing and querying geographical data in a uniform way has become easier in recent years. Emerging standards like WFS turn
the web into a geospatial web services enabled place. Mediation
architectures like VirGIS overcome syntactical and semantical heterogeneity
between several distributed sources. On mobile devices,
however, this kind of solution is not suitable, due to limitations,
mostly regarding bandwidth, computation power, and available storage
space. The aim of this paper is to present a solution for providing
powerful reasoning mechanisms accessible from mobile applications
and involving data from several heterogeneous sources.
By adapting contents to time and location, mobile web information
systems can not only increase the value and suitability of the
service itself, but can substantially reduce the amount of data delivered
to users. Because many problems pertain to infrastructures
and transportation in general and to way finding in particular, one
cornerstone of the architecture is higher level reasoning on graph
networks with the Multi-Paradigm Location Language MPLL. A
mediation architecture is used as a âgraph providerâ in order to
transfer the load of computation to the best suited component â
graph construction and transformation for example being heavy on
resources. Reasoning in general can be conducted either near the
âsourceâ or near the end user, depending on the specific use case.
The concepts underlying the proposal described in this paper are
illustrated by a typical and concrete scenario for web applications
Intelligent Management and Efficient Operation of Big Data
This chapter details how Big Data can be used and implemented in networking
and computing infrastructures. Specifically, it addresses three main aspects:
the timely extraction of relevant knowledge from heterogeneous, and very often
unstructured large data sources, the enhancement on the performance of
processing and networking (cloud) infrastructures that are the most important
foundational pillars of Big Data applications or services, and novel ways to
efficiently manage network infrastructures with high-level composed policies
for supporting the transmission of large amounts of data with distinct
requisites (video vs. non-video). A case study involving an intelligent
management solution to route data traffic with diverse requirements in a wide
area Internet Exchange Point is presented, discussed in the context of Big
Data, and evaluated.Comment: In book Handbook of Research on Trends and Future Directions in Big
Data and Web Intelligence, IGI Global, 201
Modeling an ontology on accessible evacuation routes for emergencies
Providing alert communication in emergency situations is vital to reduce the number of victims. However, this is a challenging goal for researchers and professionals due to the diverse pool of prospective users, e.g. people with disabilities as well as other vulnerable groups. Moreover, in the event of an emergency situation, many people could become vulnerable because of exceptional circumstances such as stress, an unknown environment or even visual impairment (e.g. fire causing smoke). Within this scope, a crucial activity is to notify affected people about safe places and available evacuation routes. In order to address this need, we propose to extend an ontology, called SEMA4A (Simple EMergency Alert 4 [for] All), developed in a previous work for managing knowledge about accessibility guidelines, emergency situations and communication technologies. In this paper, we introduce a semi-automatic technique for knowledge acquisition and modeling on accessible evacuation routes. We introduce a use case to show applications of the ontology and conclude with an evaluation involving several experts in evacuation procedures. © 2014 Elsevier Ltd. All rights reserved
Unsupervised Sense-Aware Hypernymy Extraction
In this paper, we show how unsupervised sense representations can be used to
improve hypernymy extraction. We present a method for extracting disambiguated
hypernymy relationships that propagates hypernyms to sets of synonyms
(synsets), constructs embeddings for these sets, and establishes sense-aware
relationships between matching synsets. Evaluation on two gold standard
datasets for English and Russian shows that the method successfully recognizes
hypernymy relationships that cannot be found with standard Hearst patterns and
Wiktionary datasets for the respective languages.Comment: In Proceedings of the 14th Conference on Natural Language Processing
(KONVENS 2018). Vienna, Austri
The Alternative Library
Much time and effort has been devoted to designing and developing library Web sites that are easy to navigate by both new students and experienced researchers. In a review of the Southampton Institute Library it was decided that in addition to updating the existing homepage an alternative would be offered. Drawing on theory relating to user interface design,learning styles and creative thinking, an Alternative Library navigation system was added to the more traditional library homepage. The aim was to provide students with a different way to explore and discover the wide range of information resources available by taking a less formal approach to navigation based on the metaphor of physical space and playful exploration
Opportunities in Software Engineering Research for Web API Consumption
Nowadays, invoking third party code increasingly involves calling web
services via their web APIs, as opposed to the more traditional scenario of
downloading a library and invoking the library's API. However, there are also
new challenges for developers calling these web APIs. In this paper, we
highlight a broad set of these challenges and argue for resulting opportunities
for software engineering research to support developers in consuming web APIs.
We outline two specific research threads in this context: (1) web API
specification curation, which enables us to know the signatures of web APIs,
and (2) static analysis that is capable of extracting URLs, HTTP methods etc.
of web API calls. Furthermore, we present new work on how we combine (1) and
(2) to provide IDE support for application developers consuming web APIs. As
web APIs are used broadly, research in supporting the consumption of web APIs
offers exciting opportunities.Comment: Erik Wittern and Annie Ying are both first author
Robust Densest Subgraph Discovery
Dense subgraph discovery is an important primitive in graph mining, which has
a wide variety of applications in diverse domains. In the densest subgraph
problem, given an undirected graph with an edge-weight vector
, we aim to find that maximizes the density,
i.e., , where is the sum of the weights of the edges in the
subgraph induced by . Although the densest subgraph problem is one of the
most well-studied optimization problems for dense subgraph discovery, there is
an implicit strong assumption; it is assumed that the weights of all the edges
are known exactly as input. In real-world applications, there are often cases
where we have only uncertain information of the edge weights. In this study, we
provide a framework for dense subgraph discovery under the uncertainty of edge
weights. Specifically, we address such an uncertainty issue using the theory of
robust optimization. First, we formulate our fundamental problem, the robust
densest subgraph problem, and present a simple algorithm. We then formulate the
robust densest subgraph problem with sampling oracle that models dense subgraph
discovery using an edge-weight sampling oracle, and present an algorithm with a
strong theoretical performance guarantee. Computational experiments using both
synthetic graphs and popular real-world graphs demonstrate the effectiveness of
our proposed algorithms.Comment: 10 pages; Accepted to ICDM 201
GeoCAM: A geovisual analytics workspace to contextualize and interpret statements about movement
This article focuses on integrating computational and visual methods in a system that supports analysts to identify extract map and relate linguistic accounts of movement. We address two objectives: (1) build the conceptual theoretical and empirical framework needed to represent and interpret human-generated directions; and (2) design and implement a geovisual analytics workspace for direction document analysis. We have built a set of geo-enabled computational methods to identify documents containing movement statements and a visual analytics environment that uses natural language processing methods iteratively with geographic database support to extract interpret and map geographic movement references in context. Additionally analysts can provide feedback to improve computational results. To demonstrate the value of this integrative approach we have realized a proof-of-concept implementation focusing on identifying and processing documents that contain human-generated route directions. Using our visual analytic interface an analyst can explore the results provide feedback to improve those results pose queries against a database of route directions and interactively represent the route on a map
- âŠ