A web ontologies framework for digital rights management

In order to improve the management of copyright in the Internet, known as Digital Rights Management, there is the need for a shared language for copyright representation. Current approaches are based on purely syntactic solutions, i.e. a grammar that defines a rights expression language. These languages are difficult to put into practise due to the lack of explicit semantics that facilitate its implementation. Moreover, they are simple from the legal point of view because they are intended just to model the usage licenses granted by content providers to end-users. Thus, they ignore the copyright framework that lies behind and the whole value chain from creators to end-users. Our proposal is to use a semantic approach based on semantic web ontologies. We detail the development of a copyright ontology in order to put this approach into practice. It models the copyright core concepts for creation, rights and the basic kinds of actions that operate on content. Altogether, it allows building a copyright framework for the complete value chain. The set of actions operating on content are our smaller building blocks in order to cope with the complexity of copyright value chains and statements and, at the same time, guarantee a high level of interoperability and evolvability. The resulting copyright modelling framework is flexible and complete enough to model many copyright scenarios, not just those related to the economic exploitation of content. The ontology also includes moral rights, so it is possible to model this kind of situations as it is shown in the included example model for a withdrawal scenario. Finally, the ontology design and the selection of tools result in a straightforward implementation. Description Logic reasoners are used for license checking and retrieval. Rights are modelled as classes of actions, action patterns are modelled also as classes and the same is done for concrete actions. Then, to check if some right or license grants an action is reduced to check for class subsumption, which is a direct functionality of these reasoners.

MPRO-Spanish: development and experiments with a linguistic parser for Spanish texts

This paper describes the main features and present results of MPRO-Spanish, a parser for morphological and syntactic analysis of unrestricted Spanish text developed at the IAI1. This parser makes direct use of X-phrase structure rules to handle a variety of patterns from derivational morphology and syntactic structure. Both analyses, morphological and syntactic, are realised by two subsequent modules. One module analyses and disambiguates the source words at morphological level while the other consists of a series of programs and a deterministic, procedural and explicit grammar. The article explains the main features of MPRO and resumes some of the experiments on some of its applications, some of which still being implemented like the monolingual and bilingual term extraction while others need further work like indexing. The results and applications obtained so far with simple and relatively complex sentences give us grounds to believe in its reliability.

Complex syntax in autism spectrum disorders: a study of relative clauses.

BACKGROUND: The few studies that have evaluated syntax in autism spectrum disorder (ASD) have yielded conflicting findings: some suggest that once matched on mental age, ASD and typically developing controls do not differ for grammar, while others report that morphosyntactic deficits are independent of cognitive skills in ASD. There is a need for a better understanding of syntax in ASD and its relation to, or dissociation from, nonverbal abilities. AIMS: Syntax in ASD was assessed by evaluating subject and object relative clause comprehension in adolescents and adults diagnosed with ASD with a performance IQ within the normal range, and with or without a history of language delay. METHODS & PROCEDURES: Twenty-eight participants with ASD (mean age 21.8) and 28 age-matched controls (mean age 22.07) were required to point to a character designated by relative clauses that varied in syntactic complexity. OUTCOMES & RESULTS: Scores indicate that participants with ASD regardless of the language development history perform significantly worse than age-matched controls with object relative clauses. In addition, participants with ASD with a history of language delay (diagnosed with high-functioning autism in the DSM-IV-TR) perform worse on subject relatives than ASD participants without language delay (diagnosed with Asperger syndrome in the DSM-IV-TR), suggesting that these two groups do not have equivalent linguistic abilities. Performance IQ has a positive impact on the success of the task for the population with ASD. CONCLUSIONS & IMPLICATIONS: This study reveals subtle grammatical difficulties remaining in adult individuals with ASD within normal IQ range as compared with age-matched peers. Even in the absence of a history of language delay in childhood, the results suggest that a slight deficit may nevertheless be present and go undetected by standardized language assessments. Both groups with and without language delay have a similar global performance on relative clause comprehension; however, the study also indicates that the participants with reported language delay show more difficulty with subject relatives than the participants without language delay, suggesting the presence of differences in linguistic abilities between these subgroups of ASD.

Adding similarity-based reasoning capabilities to a Horn fragment of possibilistic logic with fuzzy constants

PLFC is a first-order possibilistic logic dealing with fuzzy constants and fuzzily restricted quantifiers. The refutation proof method in PLFC is mainly based on a generalized resolution rule which allows an implicit graded unification among fuzzy constants. However, unification for precise object constants is classical. In order to use PLFC for similarity-based reasoning, in this paper we extend a Horn-rule sublogic of PLFC with similarity-based unification of object constants. The Horn-rule sublogic of PLFC we consider deals only with disjunctive fuzzy constants and it is equipped with a simple and efficient version of PLFC proof method. At the semantic level, it is extended by equipping each sort with a fuzzy similarity relation, and at the syntactic level, by fuzzily “enlarging” each non-fuzzy object constant in the antecedent of a Horn-rule by means of a fuzzy similarity relation.

Verbs d'actitud

En aquest article es defi neix la classe dels verbs d'actitud, tant intensionalment, a partir de criteris sint àctics i sem àntics, com extensionalment. Quant a la sintaxi, s'observa que els verbs que pertanyen a aquest grup presenten almenys una estructura distintiva compartida; pel que fa a la sem àntica, a m és d'identifi car-hi els mateixos components de signifi cat, s'ha observat que presenten també el mateix tipus general d'estructura esdevenimental. La hipòtesi de treball és la de Levin [6] -els verbs que tenen el mateix signifi cat comparteixen el mateix comportament sintàctic-, encara que amb alguns matisos. El punt de partida és tamb é la classifi cació d'aquesta autora, sobre la qual es proposa una reagrupaci ó en funci ó dels criteris esmentats.

El clític 'es' i la construcció anticausativa

L'objectiu d'aquest article és defensar la responsabilitat del component lèxic pel que fa a la presència (o l'absència) del clític en la construcció anticausativa. Es presenten proves que justifiquen que les argumentacions sobre aquest fenomen des de la semàntica o l'estructura eventual, que són les més prolíferes en la bibliografia, no són vàlides per a tots els verbs que participen en l'estructura sintàctica esmentada. Es considera que ni la sintaxi ni la morfologia tampoc poden donar llum dels fets i es proposa que l'explicació de la manca d'uniformitat pel que fa a l'aparició del pronom ha de trobar-se a partir de fenòmens que no es poden discernir en observar només l'estat actual de la llengua.

Application Size Optimisation in Mobile Environment

Työssä tutkitaan menetelmiä, käytäntöjä ja oliosuunnittelumalleja jotka johtavat ohjelmistojen koon pienentymiseen. Työssä tutkitaan konkreettisia keinoja ohjelmistojen koon optimointiin Symbian-alustalla. Työ keskityy C++ ohjelmistoihin jotka on suunniteltu toimimaan matkapuhelimissa ja muissa langattomissa laitteissa. Työssä esitellään, analysoidaan ja optimoidaan todellinen, loppukäyttäjille suunnattu, langaton sovellus. Käytetyt optimointimenetelmät sekä saadut tulokset esitellään ja analysoidaan. Esimerkkisovelluksen toteuttamisesta kertyvien kokemusten perusteella esitetään suosituksia langattomaan sovelluskehitykseen. Hyvän teknisen arkkitehtuurisuunnitelman todettiin olevan merkittävässä roolissa. C++ -kielen luokkaperinnän huomattiin yllättäen olevan suurin ohjelmatiedostojen kokoon vaikuttava tekijä Symbian-käyttöjärjestelmässä. Pienten ohjelmien tuottamisessa vaaditaan taitoa ja kurinalaisuutta. Ohjelmistokehittäjien asenteet ovat yleensä suurin este sille. Monet ihmiset eivät vain välitä kirjoittaminen ohjelmiensa koosta.

Aminohappojen enantiomeerien kromatografinen erottaminen

Enantiomeerit ovat yhdisteitä, jotka ovat toistensa peilikuvamuotoja. Enantiomeerien erotusmenetelmiä ovat neste-nesteuutto, kalvotekniikka, kiteytys, kromatografia ja kapillaarielektroforeesi. Nestekromatografinen erotus perustuu joko suoraan erotukseen tai epäsuoraan erotukseen. Kiraaliset stationaarifaasit erottavat yhdisteet kolonnissa suoralla erotuksella. Derivoimattomia aminohappojen enantiomeerejä on erotettu käyttäen ligandinvaihto-, kruunueetteri-, antibiootti- ja polysakkaridistationaarifaaseja. Epäsuora erotus vaatii erotettavan enantiomeeriparin esikäsittelyn ennen kolonnia. Markkinoilta löytyy niukasti preparatiiviseen mittakaavaan soveltuvia enantiomeerien erotusmateriaaleja. Työn kokeellisessa osassa enantiomeerien erotuksia tehtiin sekä analyyttisessä mittakaavassa että preparatiivisessa mittakaavassa. Tutkittavina pääkomponentteina aminohapoista olivat metioniinin, proliinin ja seriinin enantiomeeriparit. Analyyttisessä mittakaavassa kuparimuotoisella ligandinvaihtokolonnilla tehty erotus onnistui erittäin hyvin. Piikkien resoluutioiden arvot vaihtelivat tyypillisesti välillä 2,0-35 ja erotustekijöiden arvot välillä 1,5-30. Parhaiten onnistuttiin erottamaan metioniinin enantiomeerit toisistaan. Prepatatiivisen mittakaavan erotusmateriaalin tutkimus keskittyi materiaalin kokeiluun ja kehitykseen aminohappojen enantiomeerien erotukseen soveltuvaksi. Erotusmateriaalilla onnistuttiin erottamaan aminohappoja toisistaan, mutta aminohappojen enantiomeerien erottumista ei onnistuttu selkeästi havaitsemaan. Erotusmateriaali toimi parhaiten muunnettuna alkaalisissa olosuhteissa kuparimuotoiseksi. Kuparin pysymättömyys erotusmateriaalissa aiheutti kuitenkin ongelmia kokeiden toistettavuuteen.

Loanword Phonology, Lexical Exceptions, Morphologically Driven Underapplication, and the Nature of Positionally Biased Constraints

In this paper we provide a formal account for underapplication of vowel reduction to schwa in Majorcan Catalan loanwords and learned words. On the basis of the comparison of these data with those concerning productive derivation and verbal inflection, which show analogous patterns, in this paper we also explore the existing and not yet acknowledged correlation between those processes that exhibit a particular behaviour in the loanword phonology with respect to the native phonology of the language, those processes that show lexical exceptions and those processes that underapply due to morphological reasons. In light of the analysis of the very same data and taking into account the aforementioned correlation, we show how there might exist a natural diachronic relation between two kinds of Optimality Theory constraints which are commonly used but, in principle, mutually exclusive: positional faithfulness and contextual markedness constraints. Overall, phonological productivity is proven to be crucial in three respects: first, as a context of the grammar, given that «underapplication» is systematically found in what we call the productive phonology of the dialect (including loanwords, learned words, productive derivation and verbal inflection); second, as a trigger or blocker of processes, in that the productivity or the lack of productivity of a specific process or constraint in the language is what explains whether it is challenged or not in any of the depicted situations, and, third, as a guiding principle which can explain the transition from the historical to the synchronic phonology of a linguistic variety.

Applying TTCN to testing of Mobile IP

Diplomityö käsittelee ISO:n yhdenmukaisuustestin menetelmien sekä ISO-9646:n kehysten soveltamista Mobile IPv6 protokollan testauksessa. Mobile IPv6 protokollaa tarkastellaan määrittelyjen pohjalta, myös testien tärkeyttä ja tulosten johtamista käsitellään. Työssä käsitellän MSC:n (Message Sequence Charts) käyttöä testaustyössä mahdolliset edut huomioiden. TTCN kieli, testausmenetelmät ja OpenTTCN testauskone käsitellään. Testin kohteena olevien yhdyskäytävän ja palvelimen määrittelyt kuvataan. Osia abstract test suite :sta (ATS) esitellään esimerkin antamiseksi todellisesta sovelluksesta ja sen yhteydestä tehtyyn dokumenttiin.

Contrast : a concept in language and its development in Medieval Spanish

The purpose of this PhD thesis is to investigate a semantic relation present in the connection of sentences (more specifically: propositional units). This relation, which we refer to as contrast, includes the traditional categories of adversatives - predominantly represented by the connector but in English and pero in Modern Spanish - and concessives, prototypically verbalised through although / aunque. The aim is to describe, analyse and - as far as possible - to explain the emergence and evolution of different syntactic schemes marking contrast during the first three centuries of Spanish (also referred to as Castilian) as a literary language, i.e., from the 13th to the 15th century. The starting point of this question is a commonplace in syntax, whereby the semantic and syntactic complexity of clause linkage correlates with the degree of textual elaboration. In historical linguistics, i.e., applied to the phylogeny of a language, it is commonly referred to as the parataxis hypothesis A crucial part of the thesis is dedicated by the definition of contrast as a semantic relation. Although the label contrast has been used in this sense, mainly in functional grammar and text linguistics, mainstream grammaticography and linguistics remain attached to the traditional categories adversatives and concessives. In opposition to this traditional view, we present our own model of contrast, based on a pragma-semantic description proposed for the analysis of adversatives by Oswald Ducrot and subsequently adopted by Ekkehard König for the analysis of concessives. We refine and further develop this model in order for it to accommodate all, not just the prototypical instances of contrast in Spanish, arguing that the relationship between adversatives and concessives is a marked opposition, i.e., that the higher degree of semantic and syntactic integration of concessives restricts some possible readings that the adversatives may have, but that this difference is almost systematically neutralised by contextual factors, thus justifying the assumption of contrast as a comprehensive onomasiological category. This theoretical focus is completed by a state-of-the-question overview attempting to account for all relevant forms in which contrast is expressed in Medieval Spanish, with the aid of lexicographic and grammaticographical sources, and an empirical study investigating the expression of corpus in a corpus study on the textual functions of contrast in nine Medieval Spanish texts: Cantar de Mio Cid, Libro de Alexandre, Milagros de Nuestra Sehora, Estoria de Espana, Primera Partida, Lapidario, Libro de buen amor, Conde Lucanor, and Corbacho. This corpus is analysed using quantitative and qualitative tools, and the study is accompanied by a series of methodological remarks on how to investigate a pragma-semantic category in historical linguistics. The corpus study shows that the parataxis hypothesis fails to prove from a statistical viewpoint, although a qualitative analysis shows that the use of subordination does increase over time in some particular contexts.

Prevalence and Diagnostic Approach to Sleep Apnea in Hemodialysis Patients: A Population Study.

Background. Previous observations found a high prevalence of obstructive sleep apnea (OSA) in the hemodialysis population, but the best diagnostic approach remains undefined. We assessed OSA prevalence and performance of available screening tools to propose a specific diagnostic algorithm. Methods. 104 patients from 6 Swiss hemodialysis centers underwent polygraphy and completed 3 OSA screening scores: STOP-BANG, Berlin's Questionnaire, and Adjusted Neck Circumference. The OSA predictors were identified on a derivation population and used to develop the diagnostic algorithm, which was validated on an independent population. Results. We found 56% OSA prevalence (AHI ≥ 15/h), which was largely underdiagnosed. Screening scores showed poor performance for OSA screening (ROC areas 0.538 [SE 0.093] to 0.655 [SE 0.083]). Age, neck circumference, and time on renal replacement therapy were the best predictors of OSA and were used to develop a screening algorithm, with higher discriminatory performance than classical screening tools (ROC area 0.831 [0.066]). Conclusions. Our study confirms the high OSA prevalence and highlights the low diagnosis rate of this treatable cardiovascular risk factor in the hemodialysis population. Considering the poor performance of OSA screening tools, we propose and validate a specific algorithm to identify hemodialysis patients at risk for OSA for whom further sleep investigations should be considered.

A Dependency Parsing Approach to Biomedical Text Mining

Biomedical research is currently facing a new type of challenge: an excess of information, both in terms of raw data from experiments and in the number of scientific publications describing their results. Mirroring the focus on data mining techniques to address the issues of structured data, there has recently been great interest in the development and application of text mining techniques to make more effective use of the knowledge contained in biomedical scientific publications, accessible only in the form of natural human language. This thesis describes research done in the broader scope of projects aiming to develop methods, tools and techniques for text mining tasks in general and for the biomedical domain in particular. The work described here involves more specifically the goal of extracting information from statements concerning relations of biomedical entities, such as protein-protein interactions. The approach taken is one using full parsing—syntactic analysis of the entire structure of sentences—and machine learning, aiming to develop reliable methods that can further be generalized to apply also to other domains. The five papers at the core of this thesis describe research on a number of distinct but related topics in text mining. In the first of these studies, we assessed the applicability of two popular general English parsers to biomedical text mining and, finding their performance limited, identified several specific challenges to accurate parsing of domain text. In a follow-up study focusing on parsing issues related to specialized domain terminology, we evaluated three lexical adaptation methods. We found that the accurate resolution of unknown words can considerably improve parsing performance and introduced a domain-adapted parser that reduced the error rate of theoriginal by 10% while also roughly halving parsing time. To establish the relative merits of parsers that differ in the applied formalisms and the representation given to their syntactic analyses, we have also developed evaluation methodology, considering different approaches to establishing comparable dependency-based evaluation results. We introduced a methodology for creating highly accurate conversions between different parse representations, demonstrating the feasibility of unification of idiverse syntactic schemes under a shared, application-oriented representation. In addition to allowing formalism-neutral evaluation, we argue that such unification can also increase the value of parsers for domain text mining. As a further step in this direction, we analysed the characteristics of publicly available biomedical corpora annotated for protein-protein interactions and created tools for converting them into a shared form, thus contributing also to the unification of text mining resources. The introduced unified corpora allowed us to perform a task-oriented comparative evaluation of biomedical text mining corpora. This evaluation established clear limits on the comparability of results for text mining methods evaluated on different resources, prompting further efforts toward standardization. To support this and other research, we have also designed and annotated BioInfer, the first domain corpus of its size combining annotation of syntax and biomedical entities with a detailed annotation of their relationships. The corpus represents a major design and development effort of the research group, with manual annotation that identifies over 6000 entities, 2500 relationships and 28,000 syntactic dependencies in 1100 sentences. In addition to combining these key annotations for a single set of sentences, BioInfer was also the first domain resource to introduce a representation of entity relations that is supported by ontologies and able to capture complex, structured relationships. Part I of this thesis presents a summary of this research in the broader context of a text mining system, and Part II contains reprints of the five included publications.

Prognostication of Mortality in Critically Ill Patients With Severe Infections.

BACKGROUND: The purpose of this study was to confirm the prognostic value of pancreatic stone protein (PSP) in patients with severe infections requiring ICU management and to develop and validate a model to enhance mortality prediction by combining severity scores with biomarkers. METHODS: We enrolled prospectively patients with severe sepsis or septic shock in mixed tertiary ICUs in Switzerland (derivation cohort) and Brazil (validation cohort). Severity scores (APACHE [Acute Physiology and Chronic Health Evaluation] II or Simplified Acute Physiology Score [SAPS] II) were combined with biomarkers obtained at the time of diagnosis of sepsis, including C-reactive-protein, procalcitonin (PCT), and PSP. Logistic regression models with the lowest prediction errors were selected to predict in-hospital mortality. RESULTS: Mortality rates of patients with septic shock enrolled in the derivation cohort (103 out of 158) and the validation cohort (53 out of 91) were 37% and 57%, respectively. APACHE II and PSP were significantly higher in dying patients. In the derivation cohort, the models combining either APACHE II, PCT, and PSP (area under the receiver operating characteristic curve [AUC], 0.721; 95% CI, 0.632-0.812) or SAPS II, PCT, and PSP (AUC, 0.710; 95% CI, 0.617-0.802) performed better than each individual biomarker (AUC PCT, 0.534; 95% CI, 0.433-0.636; AUC PSP, 0.665; 95% CI, 0.572-0.758) or severity score (AUC APACHE II, 0.638; 95% CI, 0.543-0.733; AUC SAPS II, 0.598; 95% CI, 0.499-0.698). These models were externally confirmed in the independent validation cohort. CONCLUSIONS: We confirmed the prognostic value of PSP in patients with severe sepsis and septic shock requiring ICU management. A model combining severity scores with PCT and PSP improves mortality prediction in these patients.

Prevalence and Diagnostic Approach to Sleep Apnea in Hemodialysis Patients: A Population Study.

BACKGROUND: Previous observations found a high prevalence of obstructive sleep apnea (OSA) in the hemodialysis population, but the best diagnostic approach remains undefined. We assessed OSA prevalence and performance of available screening tools to propose a specific diagnostic algorithm. METHODS: 104 patients from 6 Swiss hemodialysis centers underwent polygraphy and completed 3 OSA screening scores: STOP-BANG, Berlin's Questionnaire, and Adjusted Neck Circumference. The OSA predictors were identified on a derivation population and used to develop the diagnostic algorithm, which was validated on an independent population. RESULTS: We found 56% OSA prevalence (AHI ≥ 15/h), which was largely underdiagnosed. Screening scores showed poor performance for OSA screening (ROC areas 0.538 [SE 0.093] to 0.655 [SE 0.083]). Age, neck circumference, and time on renal replacement therapy were the best predictors of OSA and were used to develop a screening algorithm, with higher discriminatory performance than classical screening tools (ROC area 0.831 [0.066]). CONCLUSIONS: Our study confirms the high OSA prevalence and highlights the low diagnosis rate of this treatable cardiovascular risk factor in the hemodialysis population. Considering the poor performance of OSA screening tools, we propose and validate a specific algorithm to identify hemodialysis patients at risk for OSA for whom further sleep investigations should be considered.