Learn More
This paper proposes a two-step approach to identifying ambiguities in natural language (NL) requirements specifications (RSs). In the first step, a tool would apply a set of ambiguity measures to a RS in order to identify potentially ambiguous sentences in the RS. In the second step, another tool would show what specifically is potentially ambiguous about(More)
There has been great interest in applying Semantic Web technologies to the tourism sector ever since Tim Berners-Lee introduced his vision. Unfortunately, there is a major obstacle in realizing such applications: tourist (or other) information on the Web has to be semantically annotated, and this happens to be a very timeand resource-consuming process. In(More)
Government regulations are increasingly affecting the security, privacy and governance of information systems in the United States, Europe and elsewhere. Consequently, companies and software developers are required to ensure that their software systems comply with relevant regulations, either through design or re-engineering. We previously proposed a(More)
Ensuring compliance of software systems with government regulations, policies, and laws is a complex problem. Generally speaking, solutions to the problem first identify rights and obligations defined in the law and then treat these as requirements for the system under design. This work examines the challenge of developing tool support for extracting such(More)
Text ambiguity is one of the most interesting phenomenon in human communication and a difficult problem in Natural Language Processing (NLP). Identification of text ambiguities is an important task for evaluating the quality of text and uncovering its vulnerable points. There exist several types of ambiguity. In the present work we review and compare(More)
Enrichment of text documents with semantic metadata reflecting their meaning facilitates document organization, indexing and retrieval. However, most web data remain unstructured because of the difficulty and the cost of manually annotating text. In this work, we present Cerno, a framework for semi-automatic semantic annotation of textual documents(More)
The Web is the greatest information source in human history. Unfortunately, mining knowledge out of this source is a laborious and errorprone task. Many researchers believe that a solution to the problem can be founded on semantic annotations that need to be inserted in web-based documents and guide information extraction and knowledge mining. In this(More)
This paper presents a novel application of a semantic annotation system, named Cerno, to analyze research publications in electronic format. Specifically, we address the problem of providing automatic support for authors who need to deal with large volumes of research documents. To this end, we have developed Biblio, a user-friendly tool based on Cerno. The(More)