Teresa Jones-Logan is seeking a full-time position offering long-term growth and development. She has over 15 years of experience in customer service, dispatching, scheduling, and administrative roles. She is a very personable professional who is able to work well with all levels of employees and has a history of leading teams to excellence. She has strong skills in areas like customer service, scheduling, report preparation, time entry, and general office skills.
Laura Stein Interiors is looking for a new administrative assistant. View the PDF for a full description. Qualified candidates please send resumé and cover letter to info@laurasteininteriors.com
Laura Stein Interiors is looking for a new administrative assistant. View the PDF for a full description. Qualified candidates please send resumé and cover letter to info@laurasteininteriors.com
Learning the Semantics of Structured Data SourcesMohsen Taheriyan
Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data that can be leveraged to build and augment knowledge graphs. However, they rarely provide a semantic model to describe their contents. Semantic models of data sources represent the implicit meaning of the data by specifying the concepts and the relationships within the data. Such models are the key ingredients to automatically publish the data into knowledge graphs. Manually modeling the semantics of data sources requires significant effort and expertise, and although desirable, building these models automatically is a challenging problem. Most of the related work focuses on semantic annotation of the data fields (source attributes). However, constructing a semantic model that explicitly describes the relationships between the attributes in addition to their semantic types is critical.
We present a novel approach that exploits the knowledge from a domain ontology and the semantic models of previously modeled sources to automatically learn a rich semantic model for a new source. This model represents the semantics of the new source in terms of the concepts and relationships defined by the domain ontology. Given some sample data from the new source, we leverage the knowledge in the domain ontology and the known semantic models to construct a weighted graph that represents the space of plausible semantic models for the new source. Then, we compute the top k candidate semantic models and suggest to the user a ranked list of the semantic models for the new source. The approach takes into account user corrections to learn more accurate semantic models on future data sources. Our evaluation shows that our method generates expressive semantic models for data sources and services with minimal user input. These precise models make it possible to automatically integrate the data across sources and provide rich support for source discovery and service composition. They also make it possible to automatically publish semantic data into knowledge graphs.
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1. Teresa L Jones-Logan
7319 Calle Cristobal # 144
San Diego, Ca 92126
(858) 405-8074
Email: Missjones9@gmail.com
Objective:
I am seeking a full-time position offering longterm growth and development within an established company. I am offering my
professional demeanor, outstanding team player spirit as well as being very hardworking and determined.
Profile:
I am a very personable business professional able to work with all levels of employees. I have demonstrated a history of leading a
team to excellence. I am very flexible and versatile with the ability to work under pressure, commit to deadlines driven
environments. I possess excellent team building skills. I am Poised and competent with demonstrated ability to easily transcend
cultural differences.
Skills Summary:
• Service Request Entry • Customer Service
• Scheduling • Report Preparation
• Prevailing Wage Entry • Oracle Knowledge
• Weekly Time Entry • SAP Knowledge
• Purchase Orders • Monthly Billing
• Contract Entry • Creation of Purchase Orders
• Written Correspondence
• General Office Skills
Professional experience in communication, dispatching, scheduling and customer service:
• Provided customer support for theBellSouth AT&T account
• Provided resolutions to customers via phoneregarding service equipment
• Maintain database of all service request reported by the call center
• Dispatched over 25 Service technicians to Customer sites
• Coordinated all daily activity for technicians
• Maintain customer data base
• Receive incoming emergency calls and dispatch them accordingly
• Provide support to various departments when needed
• Provided impeccable customer service
• Responsible for maintaining customer repore and conducting site surveys
Administrative Duties:
• Prepare weekly spreadsheets and reports • Entering of all Contracts
2. • Prepare all Prevailing wage for time entry • Generate PO’s as needed
• Assist with monthly billing of all service work • Assist with scheduling of Def repairs
• Assist Project Managers with scheduling • Assist sales with scheduling work
• Assist Construction manager with scheduling • Serve as National Account Coordinator
• Schedule all National Account Service Request
Organization:
• Maintain schedule of all technician
• Assist with receptionist duties
• Plan meeting for technicians monthly
• Plan, Organize and facilitate quarterly AHJ (lunch and learns)
• Maintain the day to day operations for the service department
Employment History:
SimplexGrinnell San Diego, Ca
Service Administrator April 2009 to October 2014
Siemens Building Technologies Jacksonville, Fl
Service Coordinator December 2004 to March 2008
Bellsouth AT&T Jacksonville, Fl
Service Dispatcher Jan 1997- November 2004
Education
Andrew Jackson Sr. High School Diploma May 9th
1992
References are available upon request.