Learning Semantic Definitions of Online Information Sources
نویسندگان
چکیده
منابع مشابه
Learning Semantic Definitions of Online Information Sources
The Internet contains a very large number of information sources providing many types of data from weather forecasts to travel deals and financial information. These sources can be accessed via Web-forms, Web Services, RSS feeds and so on. In order to make automated use of these sources, we need to model them semantically, but writing semantic descriptions for Web Services is both tedious and e...
متن کاملLearning Semantic Definitions of Information Sources on the Internet
The Internet is full of information sources providing many types of data from weather forecasts to travel deals and financial information. These sources can be accessed via web-forms, Web Services, RSS feeds and so on. In order to make automated use of these sources, we need to model them semantically. Writing semantic descriptions for web services is both tedious and error prone. In this thesi...
متن کاملSemantic Labeling of Online Information Sources
Software agents need to combine information from a variety of heterogeneous sources in the course of automating a task, such as planning a trip. In order to be able to use a source, an agent must have a model of it, i.e., understand the semantics of the input and output data it uses, as well as its functionality. Currently, source modeling is done by the user, but as large numbers of sources co...
متن کاملLearning Semantic Descriptions of Web Information Sources
The Internet is full of information sources providing various types of data from weather forecasts to travel deals. These sources can be accessed via web-forms, Web Services or RSS feeds. In order to make automated use of these sources, one needs to first model them semantically. Writing semantic descriptions for web sources is both tedious and error prone. In this paper we investigate the prob...
متن کاملOnline learning of event definitions
Systems for symbolic event recognition infer occurrences of events in time using a set of event definitions in the form of first-order rules. The Event Calculus is a temporal logic that has been used as a basis in event recognition applications, providing among others, direct connections to machine learning, via Inductive Logic Programming (ILP). We present an ILP system for online learning of ...
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: Journal of Artificial Intelligence Research
سال: 2007
ISSN: 1076-9757
DOI: 10.1613/jair.2205