Web service to deliver filtered RSS items to a mobile application

In the past decade there has been massive growth of data on the internet. Many people rely on XML based RSS feeds to receive updates from websites. In this paper, we propose a method for managing the RSS feeds from various news websites. A web service is developed to deliver filtered news items from RSS feeds to a mobile client. Each news item is indexed, subsequently, the indexes are used for filtering news items. Indexing is done in two steps. First, classical text categorization algorithms are used to assign a category to each news item, second, geoparsing is used to assign geolocation data to each news item. An android application is developed to access filtered news items by consuming the proposed web service. A prototype is implemented using Rapid miner 5.0 as the data mining tool and SVM as the classification algorithm. Geoparsing and geocoding web services, and Android API are used to implement location-based access to news items. Experimental results prove that the proposed approach is effective and saves a significant amount of information overload processing time.

Value relevance of information in hi-tech industries in Australia : accounting information and intangible asset disclosures

The main objective of this study is to test the value relevance of financial and non-financial information in high-tech industries in Australia. Ninety-one companies were selected from the sectors of Pharmaceuticals, Biotechnology and Life Sciences; Technology, Hardware and Equipment; and Telecommunication Services of ASX for the analysis. Both financial and non-financial sections of annual reports were scrutinized in order to obtain data for the analysis. The unaudited sections of annual reports were particularly analysed using NVivo to obtain the word-count of intangible assets. Ohlson’s (1995) Equity Valuation Model (modified for the intangible assets disclosures) was explicitly applied to examine the value relevance of financial and non-financial information. The overall results provide evidence that book value is the most significant factor and earnings are the least significant factor in deciding share prices in high-tech industries in Australia. This finding supports the previous studies that showed value relevance declined in earnings but increased in book value. This research proved that voluntary disclosures of intangible assets are value relevant, providing support for the previous US and Australian studies and the conclusion that investors probably increasingly rely upon alternative information sources.