Accounting for the recognition of information as an asset

Tangible assets as property, plant and equipment continue to be important factors in the production of both goods and services. However, their relative importance has decreased through time as the importance of intangible, knowledge-based assets has increased. This shift in importance has raised a number of accounting questions critical for recognizing the information as an asset in nowadays financial statements. Attempts to recognize “information” as an asset in the financial statements has lead to an increased awareness of why these invisible valuable recourses are not yet recognized. This paper aims to develop a model based on a three-circled set of criteria for the pre-measurement phase of an asset recognition process. This model should be applicable to all types of assets but we mainly focus on information as an intangible based asset. The three-circled set of asset recognition criteria presented in this paper breaks free from the narrow definitional and rule based perspective of accounting epistemology to offer an alternative view based on the recognition of artefacts

Differentiating brand assets from goodwill assets: the artefact based approach to the accounting recognition of marketing related assets

This article was submitted to and presented at the Canadian Academic Accounting Association (CAAA) Annual Conference.The International Accounting Standards Board is currently reviewing its conceptual framework and, as regards assets, the epistemological focus is upon revisions to the definition of an asset. The criteria presented in this paper break free from this narrow definitional perspective to offer an alternative view based on the recognition of artefacts and the related notion of separability. The transactions-based initial asset recognition trigger is inappropriate for the recognition of non-transactions-based intangible assets, which we instead address here through the medium of artefact-based asset recognition criteria. As primacy now appears to be given to balance sheet values and to the notion of recording comprehensive income, it may now be time to consider a broader artefact basis for the accounting recognition of assets

CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

The purpose of financial reporting: the case for coherence in the Conceptual Framework and standards

This paper proposes a basis for progress in the development of the conceptual framework (CF) as a foundation for developing accounting standards. This topic has gained increased prominence following the IASB's (2013) release of its Review of the Conceptual Framework for Financial Reporting (RCFFR) proposing changes to the CF. In this paper the broad socio-economic environment is seen as determining the primary purpose of General Purpose Financial Reporting (GPFR), which, in turn, establishes the high-level properties of a CF suitable to meet that primary purpose. This is to support market stability and efficiency through the provision of an account of the financial position and performance of an entity that accords with economic reality. The case is made that the primary purpose of a CF is to provide the principles for the development of accounting standards that will result in GPFR that is useful. This requires theoretical coherence. The CF should drive the standards and if standards depart from the CF principles, such departures should be justified. This proposal is consistent with the position adopted in the RCFFR. However, in contrast to the RCFFR, this paper accents the purposive approach and links the formation of standards directly to the CF. This approach implies that standards are subordinate to CF principles; therefore compliance with standards should not provide a basis for compromising the faithful representation of economic reality. From the purpose identified for GPFR, the paper argues for a default presumption in favour of Fair Value Accounting, a retreat from the asset/liability approach, and a re-casting of the income statement to focus on operational flows

A Linear Classifier Based on Entity Recognition Tools and a Statistical Approach to Method Extraction in the Protein-Protein Interaction Literature

We participated, in the Article Classification and the Interaction Method subtasks (ACT and IMT, respectively) of the Protein-Protein Interaction task of the BioCreative III Challenge. For the ACT, we pursued an extensive testing of available Named Entity Recognition and dictionary tools, and used the most promising ones to extend our Variable Trigonometric Threshold linear classifier. For the IMT, we experimented with a primarily statistical approach, as opposed to employing a deeper natural language processing strategy. Finally, we also studied the benefits of integrating the method extraction approach that we have used for the IMT into the ACT pipeline. For the ACT, our linear article classifier leads to a ranking and classification performance significantly higher than all the reported submissions. For the IMT, our results are comparable to those of other systems, which took very different approaches. For the ACT, we show that the use of named entity recognition tools leads to a substantial improvement in the ranking and classification of articles relevant to protein-protein interaction. Thus, we show that our substantially expanded linear classifier is a very competitive classifier in this domain. Moreover, this classifier produces interpretable surfaces that can be understood as "rules" for human understanding of the classification. In terms of the IMT task, in contrast to other participants, our approach focused on identifying sentences that are likely to bear evidence for the application of a PPI detection method, rather than on classifying a document as relevant to a method. As BioCreative III did not perform an evaluation of the evidence provided by the system, we have conducted a separate assessment; the evaluators agree that our tool is indeed effective in detecting relevant evidence for PPI detection methods.Comment: BMC Bioinformatics. In Pres

Research on financial accounting and uncertainty: developments and departures

This paper is concerned with uncertainty and accounting. Research carried out in the area to date and the proposed future direction of the research are explored. Potential hypotheses concerning user reaction to disclosures of uncertainty in financial statements are discussed. These hypotheses suggest that increased information regarding uncertainty may be relevant to userss and may change their confidence concerning their decisions. It may also contribute to a firmer social, `intersubjective' reality. An experimental framework within which such hypotheses might be explored is developed. The paper then discusses the problems foreseen with the future implementation of these experiments and how these problems might be minimised. The paper concludes by briefly commenting on the role of accounting disclosure in an uncertain world

Table-to-Text: Generating Descriptive Text for Scientific Tables from Randomized Controlled Trials

Unprecedented amounts of data have been generated in the biomedical domain, and the bottleneck for biomedical research has shifted from data generation to data management, interpretation, and communication. Therefore, it is highly desirable to develop systems to assist in text generation from biomedical data, which will greatly improve the dissemination of scientific findings. However, very few studies have investigated issues of data-to-text generation in the biomedical domain. Here I present a systematic study for generating descriptive text from tables in randomized clinical trials (RCT) articles, which includes: (1) an information model for representing RCT tables; (2) annotated corpora containing pairs of RCT table and descriptive text, and labeled structural and semantic information of RCT tables; (3) methods for recognizing structural and semantic information of RCT tables; (4) methods for generating text from RCT tables, evaluated by a user study on three aspects: relevance, grammatical quality, and matching. The proposed hybrid text generation method achieved a low bilingual evaluation understudy (BLEU) score of 5.69; but human review achieved scores of 9.3, 9.9 and 9.3 for relevance, grammatical quality and matching, respectively, which are comparable to review of original human-written text. To the best of our knowledge, this is the first study to generate text from scientific tables in the biomedical domain. The proposed information model, labeled corpora and developed methods for recognizing tables and generating descriptive text could also facilitate other biomedical and informatics research and applications

Indexing, browsing and searching of digital video

Video is a communications medium that normally brings together moving pictures with a synchronised audio track into a discrete piece or pieces of information. The size of a “piece ” of video can variously be referred to as a frame, a shot, a scene, a clip, a programme or an episode, and these are distinguished by their lengths and by their composition. We shall return to the definition of each of these in section 4 this chapter. In modern society, video is ver