Characterizing Web APIs Combining Supervised Topic Model with Ontology
نویسندگان
چکیده
منابع مشابه
Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning
Graph-based learning algorithms have been shown to be an effective approach for query-focused multi-document summarization (MDS). In this paper, we extend the standard graph ranking algorithm by proposing a two-layer (i.e. sentence layer and topic layer) graph-based semi-supervised learning approach based on topic modeling techniques. Experimental results on TAC datasets show that by considerin...
متن کاملOntology based Web Page Topic Identification
With the emergence of the web, lots of research efforts are made in the area of Web Mining. This paper proposes an automatic approach for automatic topic identification from the web pages. The contribution of this research is in the approach of automatic topic identification of web pages that can provide better results. The topic of the web documents is identified through ontological approach.
متن کاملFeature LDA: A Supervised Topic Model for Automatic Detection of Web API Documentations from the Web
Web APIs have gained increasing popularity in recent Web service technology development owing to its simplicity of technology stack and the proliferation of mashups. However, efficiently discovering Web APIs and the relevant documentations on the Web is still a challenging task even with the best resources available on the Web. In this paper we cast the problem of detecting the Web API document...
متن کاملCombining ILP with Semi-supervised Learning for Web Page Categorization
This paper presents a semi-supervised learning algorithm called Iterative-Cross Training (ICT) to solve the Web pages classification problems. We apply Inductive logic programming (ILP) as a strong learner in ICT. The objective of this research is to evaluate the potential of the strong learner in order to boost the performance of the weak learner of ICT. We compare the result with the supervis...
متن کاملCharacterizing Microblogs with Topic Models
As microblogging grows in popularity, services like Twitter are coming to support information gathering needs above and beyond their traditional roles as social networks. But most users’ interaction with Twitter is still primarily focused on their social graphs, forcing the often inappropriate conflation of “people I follow” with “stuff I want to read.” We characterize some information needs th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2013
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e96.d.1548