Events for March 29, 2016
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RECRUITING SEMINAR
Tue, Mar 29, 2016 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Mayank Kejriwal, University of Texas at Austin
Talk Title: Populating a Linked Data Entity Name System
Series: Recruitng Seminar
Abstract: Resource Description Framework (RDF) is a graph-based data model used to publish data as a Web of Linked Data. RDF is an emergent foundation for large-scale data integration. An Entity Name System (ENS) is a thesaurus for entities, and is a crucial component in a data integration architecture. Populating a Linked Data ENS is equivalent to solving an Artificial Intelligence problem called instance matching, which concerns identifying pairs of entities referring to the same underlying entity.
This talk describes a system that automatically populates an ENS in a domain-independent fashion. Automation is addressed through inexpensive but well-performing heuristics that are used to generate a training set, which is employed by other machine learning algorithms in the pipeline. Data-driven alignment algorithms are adapted to deal with structural heterogeneity in RDF graphs. The full system is scaled by implementing it on cloud infrastructure using MapReduce algorithms.
Biography: Mayank Kejriwal is finishing up his Ph.D in Computer Science at the University of Texas at Austin under the supervision of Daniel P. Miranker. His research focuses on instance-level information integration in the Semantic Web, and has been published in the International Conference on Data Mining, the Journal of Web Semantics, the International Semantic Web Conference, and the Extended Semantic Web Conference, where he won a best paper award at the 4th annual Know@LOD workshop. Prior to joining UT Austin in 2012, he obtained a dual undergraduate degree in Computer Engineering and Engineering Physics from the University of Illinois at Urbana-Champaign.
Host: Craig Knoblock
Webcast: Webcast:http://webcasterms1.isi.edu/mediasite/Viewer/?peid=cd1440ac1ea54794b12eab29e42d60ee1dLocation: Information Science Institute (ISI) - 11th floor Large CR
WebCast Link: Webcast:http://webcasterms1.isi.edu/mediasite/Viewer/?peid=cd1440ac1ea54794b12eab29e42d60ee1d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Cisco: Stream Processing in Practice
Tue, Mar 29, 2016 @ 11:00 AM - 12:20 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Dr. Debojyoti Dutta, Cisco: Office of the CTO
Talk Title: Cisco: Stream Processing in Practice
Abstract: Networking is an example of a streaming paradigm in systems. We revisit the basics of networking and networked processing in particular and show how the same basic principles can be used to design real-world scalable streaming systems. We will touch upon streaming computations, frameworks, and event processing, via real world examples. We will cover what it takes to build streaming engines (e.g. a network switch or a data platform like http://ciscozeus.io). In addition we will also cover applied algorithms that work well for such streaming models.
Biography: Dr. Dutta is actively developing streaming analytics solutions for operational insight and actions including optimizing infrastructure for I/O(/data) intensive applications on Openstack, and other scalable platforms for cloud computing and software defined networks. His work has spanned social collaboration techniques, software defined networks, applied algorithms for data mining, IoT platforms, and Cloud Ops. Dr. Dutta is a USC alum and graduated with his PhD from USC in 2004.
Host: Alefiya Hussain
Location: Mark Taper Hall Of Humanities (THH) - 210
Audiences: Everyone Is Invited
Contact: Alefiya Hussain
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
