Faculty Commons, A Center for Teaching, Learning, Scholarship and Service coordinates all professional development, grants and assessment activities of faculty at New York City College of Technology. Faculty Commons adopts a programmatic approach to professional development and operates as a faculty resource and think tank where members collaborate on a variety of projects to shape curriculum, pedagogy and assessment.
The Office of Sponsored Programs (OSP) helps faculty and administrators compete for and win grants that strengthen the intellectual climate and improve the learning environment at City Tech. The office provides notices of grant opportunities and works with faculty and administrators over the life-cycle of a grant – from concept development through close-out.
The Professional Activity Report and Self-Evaluation (PARSE) is the documentation of a faculty member’s accomplishments during each academic year and cumulatively, in the three principal areas of teaching, scholarly and professional growth, and service. The PARSE serves as the basis for the annual evaluation. It is also provides faculty with an instrument to present to departmental and college review committees for reappointment, tenure, and promotion.
Abstract: This work introduces faceted service discovery. It uses the Programmable Web directory as its corpus of APIs and enhances the search to enable faceted search, given an OWL ontology. The ontology describes semantic features of the APIs. We have designed the API classification ontology using LexOnt, a software we have built for semi-automatic ontology creation tool. LexOnt is geared toward non-experts within a service domain who want to create a high-level ontology that describes the domain. Using well- known NLP algorithms, LexOnt generates a list of top terms and phrases from the Programmable Web corpus to enable users to find high-level features that distinguish one Programmable Web service category from another. To also aid non-experts, LexOnt relies on outside sources such as Wikipedia and Wordnet to help the user identify the important terms within a service category. Using the ontology created from LexOnt, we have created APIBrowse, a faceted search interface for APIs. The ontology, in combination with the use of the Apache Solr search platform, is used to generate a faceted search interface for APIs based on their distinguishing features. With this ontology, an API is classified and displayed underneath multiple categories and displayed within the APIBrowse interface. APIBrowse gives programmers the ability to search for APIs based on their semantic features and keywords and presents them with a filtered and more accurate set of search results.
Professor Arabshian’s interests lie in the field of semantic web, service discovery and composition, context-aware computing and distributed systems. The goal of her research is to drive forward the idea of a personalized web. Her work explores ways of describing data meaningfully and designing frameworks and systems for efficient data discovery. During her tenure at Bell Labs, she worked on different aspects of ontology creation, distribution and querying.