Semantic Web Techniques to Support Interoperability in Distributed Networked Environments

We explore two Semantic Web techniques arising from ITA research into semantic alignment and interoperability in distributed networks. The first is POAF (Portable Ontology Aligned Fragments) which addresses issues relating to the portability and usage of ontology alignments. POAF uses an ontology fragmentation strategy to achieve portability, and enables subsequent usage through a form of automated ontology modularization. The second technique, SWEDER (Semantic Wrapping of Existing Data sources with Embedded Rules), is grounded in the creation of lightweight ontologies to semantically wrap existing data sources, to facilitate rapid semantic integration through representational homogeneity. The semantic integration is achieved through the creation of context ontologies which define the integrations and provide a portable definition of the integration rules in the form of embedded SPARQL construct clauses. These two Semantic Web techniques address important practical issues relevant to the potential future adoption of ontologies in distributed network environments

Public Research Universities: Serving the Public Good

Public research universities educate about 20 percent of all students nationwide; among the nation's research universities, they award 65 percent of all master's degrees and 68 percent of all research doctorate degrees. They enroll 3.8 million students, including almost 900,000 graduate students, annually.1 Public research universities produce researchers, educators, entrepreneurs, civic leaders, and the basic research breakthroughs that drive innovation, grow our economy, and benefit the daily lives of all Americans.2 Between 2012 and 2013 alone, research at public universities resulted in more than 13,322 patent applications, 522 start-up companies, and 3,094 intellectual property licenses.Public research universities also support the upward social mobility of large numbers of talented and ambitious young people from low socioeconomic status backgrounds, many of whom are the first in their family to pursue postsecondary education. Public research universities provide a high-quality university education at reduced cost and act as pathways to higher-paying jobs than would otherwise be obtainable for most students. The sizable enrollment of undergraduate students from low-income families reflects the mission of public research universities to serve all facets of U.S. society; 31 percent of undergraduate students who attend public research universities receive Pell Grants, and the eight research universities with the highest shares of students who receive Pell Grants are all public.But there is growing concern about the future of these vital institutions. Over the last decade, and especially following the economic collapse of 2008, nearly every state in the nation has dramatically reduced its investment in higher education, with public research universities receiving the most severe cuts. Since 2008, public research universities have suffered a 26 percent drop in state investment.5 Further, declining federal funds for research have added to the strain, despite the slight rebound afforded by the 2016 omnibus spending measure. The current funding model is broken and getting worse, putting at risk a critical component of the nation's postsecondary education system and research infrastructure.The American Academy of Arts & Sciences has created the Lincoln Project: Excellence and Access in Public Higher Education to study the importance of public research universities, analyze economic trends affecting their operation, and recommend new strategies to sustain and strengthen these critical institutions. This publication, the fourth in a series of five Lincoln Project reports, examines the many ways in which public research universities contribute to their communities, states, regions, and the nation, and provides empirical evidence of their service to the public good

Large scale evaluations of multimedia information retrieval: the TRECVid experience

Information Retrieval is a supporting technique which underpins a broad range of content-based applications including retrieval, filtering, summarisation, browsing, classification, clustering, automatic linking, and others. Multimedia information retrieval (MMIR) represents those applications when applied to multimedia information such as image, video, music, etc. In this presentation and extended abstract we are primarily concerned with MMIR as applied to information in digital video format. We begin with a brief overview of large scale evaluations of IR tasks in areas such as text, image and music, just to illustrate that this phenomenon is not just restricted to MMIR on video. The main contribution, however, is a set of pointers and a summarisation of the work done as part of TRECVid, the annual benchmarking exercise for video retrieval tasks

Database integrated analytics using R : initial experiences with SQL-Server + R

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Most data scientists use nowadays functional or semi-functional languages like SQL, Scala or R to treat data, obtained directly from databases. Such process requires to fetch data, process it, then store again, and such process tends to be done outside the DB, in often complex data-flows. Recently, database service providers have decided to integrate “R-as-a-Service” in their DB solutions. The analytics engine is called directly from the SQL query tree, and results are returned as part of the same query. Here we show a first taste of such technology by testing the portability of our ALOJA-ML analytics framework, coded in R, to Microsoft SQL-Server 2016, one of the SQL+R solutions released recently. In this work we discuss some data-flow schemes for porting a local DB + analytics engine architecture towards Big Data, focusing specially on the new DB Integrated Analytics approach, and commenting the first experiences in usability and performance obtained from such new services and capabilities.Peer ReviewedPostprint (author's final draft

Web Data Extraction, Applications and Techniques: A Survey

Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-hoc domains. Other approaches, instead, heavily reuse techniques and algorithms developed in the field of Information Extraction. This survey aims at providing a structured and comprehensive overview of the literature in the field of Web Data Extraction. We provided a simple classification framework in which existing Web Data Extraction applications are grouped into two main classes, namely applications at the Enterprise level and at the Social Web level. At the Enterprise level, Web Data Extraction techniques emerge as a key tool to perform data analysis in Business and Competitive Intelligence systems as well as for business process re-engineering. At the Social Web level, Web Data Extraction techniques allow to gather a large amount of structured data continuously generated and disseminated by Web 2.0, Social Media and Online Social Network users and this offers unprecedented opportunities to analyze human behavior at a very large scale. We discuss also the potential of cross-fertilization, i.e., on the possibility of re-using Web Data Extraction techniques originally designed to work in a given domain, in other domains.Comment: Knowledge-based System

Emergent Capabilities for Collaborative Teams in the Evolving Web Environment

This paper reports on our investigation of the latest advances for the Social Web, Web 2.0 and the Linked Data Web. These advances are discussed in terms of the latest capabilities that are available (or being made available) on the Web at the time of writing this paper. Such capabilities can be of significant benefit to teams, especially those comprised of multinational, geographically-dispersed team members. The specific context of coalition members in a rapidly formed diverse military context such as disaster relief or humanitarian aid is considered, where close working between non-government organisations and non-military teams will help to achieve results as quickly and efficiently as possible. The heterogeneity one finds in such teams, coupled with a lack of dedicated private network infrastructure, poses a number of challenges for collaboration, and the current paper represents an attempt to assess whether nascent Web-based capabilities can support such teams in terms of both their collaborative activities and their access to (and sharing of) information resources