Ontology-based Classification and Faceted Search Interface for APIs
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.
Knarig Arabshian is an Assistant Professor in the Computer Science Department at Hofstra University, since Fall 2014. Prior to that she was a Member of Technical Staff at Bell Labs in Murray Hill, NJ. She received her Ph.D. in Computer Science from Columbia University in 2008.
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.
Slides
APRIL 7 @ 12:00 PM – 1:00 PM in N928
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.
Knarig Arabshian is an Assistant Professor in the Computer Science Department at Hofstra University, since Fall 2014. Prior to that she was a Member of Technical Staff at Bell Labs in Murray Hill, NJ. She received her Ph.D. in Computer Science from Columbia University in 2008.
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.
The Modern, Responsive Web Site
More and more use is being made of cell phones for web exploration at the expense of conventional desk and laptop PCs. The modern web has to accommodate all these many screen sizes from High definition PC screens through iPads to miniature cell phone and maybe even smaller? This presentation will give many outward examples of valid web sites and discuss internal coding techniques.
Anthony is a Lecturer at the Computer Systems Technology Department of New York City College of Technology, City University of New York. He holds a BSc from King’s College London and an MBA from Regent Street Polytechnic, London, UK.
Poster
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NOVEMBER 5 @ 12:00 PM – 1:00 PM in N922A
More and more use is being made of cell phones for web exploration at the expense of conventional desk and laptop PCs. The modern web has to accommodate all these many screen sizes from High definition PC screens through iPads to miniature cell phone and maybe even smaller? This presentation will give many outward examples of valid web sites and discuss internal coding techniques.
Anthony is a Lecturer at the Computer Systems Technology Department of New York City College of Technology, City University of New York. He holds a BSc from King’s College London and an MBA from Regent Street Polytechnic, London, UK.
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Static Analysis and Verification of C Programs
Recent years have seen the emergence of several static analysis techniques for reasoning about programs. This talk presents several major classes of techniques and tools that implement these techniques. Part of the presentation will be a demonstration of the tools.
Dr. Subash Shankar is an Associate Professor in the Computer Science department at Hunter College, CUNY. Prior to joining CUNY, he received a PhD from the University of Minnesota and was a postdoctoral fellow in the model checking group at Carnegie Mellon University. Dr. Shankar also has over 10 years of industrial experience, mostly in the areas of formal methods and tools for analyzing hardware and software systems.
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Static Analysis and Verification of C Programs
SEPTEMBER 17 @ 12:00 PM – 1:00 PM
Recent years have seen the emergence of several static analysis techniques for reasoning about programs. This talk presents several major classes of techniques and tools that implement these techniques. Part of the presentation will be a demonstration of the tools.
Dr. Subash Shankar is an Associate Professor in the Computer Science department at Hunter College, CUNY. Prior to joining CUNY, he received a PhD from the University of Minnesota and was a postdoctoral fellow in the model checking group at Carnegie Mellon University. Dr. Shankar also has over 10 years of industrial experience, mostly in the areas of formal methods and tools for analyzing hardware and software systems.
Slides from yesterday’s talk on Android app development by Michael Barnathan.
