BACKGROUND A primary goal for the development of EHRs and EHR-related technologies should be to facilitate greater knowledge management for improving individual and community health outcomes associated with HIV / AIDS. Most of the current developments of EHR have focused on providing data for research, patient care and prioritization of healthcare provider resources in other areas. More attenti...

This paper evaluates the impact of semantic features in coreference resolution for the Portuguese language. We show that the new proposed features obtained on the basis of currently available Portuguese semantic resources improve results in precision, recall and f-measure.

Open Information Extraction (OIE) aims to identify all the possible assertions within a sentence. Recent and thus the most efficient OIE-tools use the grammatical dependencies or the syntactic tree of the sentence to perform extraction. When they provide a wrong extraction it is mainly due to parsing errors. In this paper, we propose to handle these parsing errors before doing OIE itself. To ac...

This paper describes the work on automated Information Extraction that accepts arbitrary text and extracts information from the text. A new approach to implement Information Extraction system is proposed in this paper. Firstly, the article will be decomposed according to paragraph, sentence and phrase. Every sentence will be compared with the knowledge node, and then append the information extr...

Software quality models provide a framework to measure and evaluate software quality of software systems. They are the basis upon which classify requirements and may be eventually used to guide the quantification of these requirements, especially non-functional requirements. Lots of approaches for building quality models have been proposed in the last decades, but still their reuse along differ...

Packaged software development (PSD) is largely a knowledgeintense activity. Thus, it depends on the organizational capability of developing and combining market and technical knowledge into timely and competitive software products. Given customers’ situated knowledge of the software, software firms increasingly seek new ways to involve customers in their software development activities. As high...

Word alignment of bilingual parallel corpora is usually generated using only statistical information. External linguistic information like e.g. a dictionary or linguistic structural annotation of the texts is used rarely, despite its usefulness. Additionally, it has to our knowledge never been examined systematically how linguistic information can be employed for word alignment improvement. In ...

Opportunities to use data and information to address challenges Background: in international agricultural research and development are expanding rapidly. The use of agricultural trial and evaluation data has enormous potential to improve crops and management practices. However, for a number of reasons, this potential has yet to be realized. This paper reports on the experience of the initiative...

In this paper we present an iterative methodology to improve classifier performance by incorporating linguistic knowledge, and propose a way to incorporate domain rules into the learning process. We applied the methodology to the tasks of hedge cue recognition and scope detection and obtained competitive results on a publicly available corpus.

Knowledge management encompasses the entire intelligence cycle from planning to reporting. One aspect that is often overlooked or minimised is the inclusion of competitive intelligence. This paper proposes a new concept to fine-tune the process of electronically gathering competitive intelligence – a key activity in knowledge management systems. Most tools are nondiscriminatory in information g...