The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Context-based communication services analyze user data and offer new and novel services that enhance end user unified communication experience. These services rely on data analysis and machine learning techniques to predict user behavior. In this paper we look at topic modeling as an unsupervised learning tool to categorize user communication data for retrieval. However, modeling topics based on user...
Capturing the gestures of music performers is a common task in interactive electroacoustic music. The captured gestures can be mapped to sounds, synthesis algorithms, visuals, etc., or used for music transcription. Two of the most common approaches for acquiring musical gestures are: 1) “hyper-instruments” which are “traditional” musical instruments enhanced with sensors for directly detecting the...
Social bookmarking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In such spaces, users annotate resources by means of any keyword or tag that they find relevant, giving raise to lightweight conceptual structures aka folksonomies. In this respect, needless to mention that ontologies can be of benefit for enhancing information retrieval metrics...
In recent years, a lot of work has been done in the field of Opinion Detection in blogs but most of the research is based on machine learning or lexical based approaches. The objective of this paper is to focus on Social Network based evidences that can be exploited for the task of Opinion Detection. We propose a framework that makes use of the major elements of the blogosphere for extracting opinions...
Entity extraction involves multi-factors, and the different factor has an impact on the answer in varying degrees, this paper presents a machine learning approach to parameter learning for entity answer. Firstly, in view of characteristics of the Question Answering System (QA), we define three elements of the text score, passage score and entity score which influenced the answer extraction, also give...
The intelligent help system (IHS) is an important assistant platform, especially in online teaching system. At present most search methods of the help systems are mainly based on keyword matches in database query or hierarchical classifications. The outstanding problem is that users are required to have a certain ability of organizing Keywords, otherwise insufficient keywords would limit the query,...
Deeply meanings of Chinese poems are hard to understand for novices. Motivating from the proverb ??A picture is worth a thousand words??, poetry composition together with relevant multimedia is proposed to assist people in understanding Chinese poems. Learning in this way, the format of poetry and context of learning environment can be used to provide composition suggestions. Therefore, how to assist...
The problem of inferring geographical information associated to web pages and identifying the geographic scope of their content is gaining increasing attention. However, geographic scope is a concept that can be interpreted in many different ways, ranging from the expected target scope of a specific content to the country where the content originated. The latter, in particular, albeit difficult to...
We present a classification method, founded in the instance-based learning and the disjunctive version space approach, for performing approximate retrieval from knowledge bases expressed in Description Logics. It is able to supply answers, even though they are not logically entailed by the knowledge base (e.g. because of its incompleteness or when there are inconsistent assertions). Moreover, the...
Named entity (NE) extraction for Thai language is a difficult and time consuming task because sentences in Thai language are composed of a series of words formed by a stream of characters. Moreover, there are no delimiters (blank space) to show word boundaries. Currently, most named entity extraction methods for Thai language are associated with word segmentation and part of speech (POS) tagging processes...
The research in the ontology-based information retrieval has made a significant progress recently, especially in the Web domain. In this kind of retrieval system, the domain ontology is used as the backbone of the searching process. However, with the heterogeneity of data storing formats on the Web, many of ontology-driven systems development approach suffer from inconsistencies during mapping between...
Design patterns are applied to solve the recurring software design problems. Unfortunately, choosing appropriate design patterns for the specific design problem is considered a difficult task. A search tool is, therefore, needed to supports selection. However, the existing design pattern searching methodologies generally have problems on keyword-search problem. In this paper, we proposed an initial...
With the rapid growth of the e-commerce, how to discovery the specific information such as about buyer, seller and products etc. adapting for the online business user becomes a focused issue to the information search engine. Focused crawling is proposed to selectively seek out pages that are relevant to a predefined set of topics without downloading all of the Web. We present a novel approach for...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.