Summarization of scientific documents by detecting common facts in citations

Reading scientific articles is more time-consuming than reading news because readers need to search and read many citations. This paper proposes a citation guided method for summarizing multiple scientific papers. A phenomenon we can observe is that citation sentences in one paragraph or section usually talk about a common fact, which is usually represented as a set of noun phrases co-occurring in citation texts and it is usually discussed from different aspects. We design a multi-document summarization system based on common fact detection. One challenge is that citations may not use the same terms to refer to a common fact. We thus use term association discovering algorithm to expand terms based on a large set of scientific article abstracts. Then, citations can be clustered based on common facts. The common fact is used as a salient term set to get relevant sentences from the corresponding cited articles to form a summary. Experiments show that our method outperforms three baseline methods by ROUGE metric.©2013 Elsevier B.V. All rights reserved.

Application of the Artificial Intelligence Algorithms with a Cognitive Graphic as a Tool for a System Analysis of Electrophysiological Processes

Summarizing the accumulated experience for a long time in the polyparametric cognitive modeling of different physiological processes (electrocardiogram, electroencephalogram, electroreovasogram and others) and the development on this basis some diagnostics methods give ground for formulating a new methodology of the system analysis in biology. The gist of the methodology consists of parametrization of fractals of electrophysiological processes, matrix description of functional state of an object with a unified set of parameters, construction of the polyparametric cognitive geometric model with artificial intelligence algorithms. The geometry model enables to display the parameter relationships are adequate to requirements of the system approach. The objective character of the elements of the models and high degree of formalization which facilitate the use of the mathematical methods are advantages of these models. At the same time the geometric images are easily interpreted in physiological and clinical terms. The polyparametric modeling is an object oriented tool possessed advances functional facilities and some principal features.

q-Heat Operator and q-Poisson’s Operator

2000 Mathematics Subject Classification: 33D15, 33D90, 39A13

Problems Connected with the Realisation of State E-governance in the Republic of Bulgaria

Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013

Data Mining for Software Development Life Cycle Quality Management

Computer software plays an important role in business, government, society and sciences. To solve real-world problems, it is very important to measure the quality and reliability in the software development life cycle (SDLC). Software Engineering (SE) is the computing field concerned with designing, developing, implementing, maintaining and modifying software. The present paper gives an overview of the Data Mining (DM) techniques that can be applied to various types of SE data in order to solve the challenges posed by SE tasks such as programming, bug detection, debugging and maintenance. A specific DM software is discussed, namely one of the analytical tools for analyzing data and summarizing the relationships that have been identified. The paper concludes that the proposed techniques of DM within the domain of SE could be well applied in fields such as Customer Relationship Management (CRM), eCommerce and eGovernment. ACM Computing Classification System (1998): H.2.8.

An unsupervised Bayesian modelling approach to storyline detection from news articles

Storyline detection from news articles aims at summarizing events described under a certain news topic and revealing how those events evolve over time. It is a difficult task because it requires first the detection of events from news articles published in different time periods and then the construction of storylines by linking events into coherent news stories. Moreover, each storyline has different hierarchical structures which are dependent across epochs. Existing approaches often ignore the dependency of hierarchical structures in storyline generation. In this paper, we propose an unsupervised Bayesian model, called dynamic storyline detection model, to extract structured representations and evolution patterns of storylines. The proposed model is evaluated on a large scale news corpus. Experimental results show that our proposed model outperforms several baseline approaches.

Kameralizmus, történelmi iskola, osztrák gazdaságtan. Három vázlat a német és osztrák közgazdasági diskurzus történetéből (Cameralism, the historical school and Austrian economics. Three outlines from the history of German and Austrian economic debate)

A kameralizmus a 16-18. századi német gyakorlati államtudomány és egyetemi tantárgy volt, amely összefoglalta a hivatalnokok képzéséhez szükséges elméleti és gyakorlati gazdasági ismereteket. Felfogása szerint az alattvalók jóléte és boldogsága feltétele az uralkodó gazdagságának, de az alattvalók önmaguktól nem képesek utat találni ehhez a boldogsághoz, szükség van az állandó külső irányításra. Igazgatásközpontúsága és egyetemi intézményesülése miatt nem tekinthető a merkantilizmus helyi változatának. Az 1840 és 1945 közötti német történeti iskola hagyományos ábrázolása több mint egy évszázadon át a német és a neoklasszikus tradíció szembenállását hangsúlyozta, kiemelve az organicizmus, a fejlődésgondolat és az egyediség jelentőségét, a szociális kérdés fontosságát, illetve a deduktív módszer és a gazdaság változatlan törvényeinek tagadását. A modern rekonstrukciók a történeti iskolát a posztklasszikus válságra adott egyik európai válaszként fogják fel, amely a történelemből levont, empirikusan megalapozott induktív alternatívát kínált. Az 1871-től kialakult osztrák iskola a neoklasszikus paradigmának egyszerre volt alkotórésze és versenytársa. A módszertani individualizmus, a szubjektivizmus, az idő fontossága, a tudás szerepe, az alternatív költségek elmélete stb. ugyan beépültek a mainstream közgazdaságtanba, de hangsúlyos kiemelésük lehetővé tette, hogy a társadalomelméleti magyarázat igényét őrző osztrák iskola megtartson valamit önálló beszédmódjából. / === / Cameralism was a practical political science and university subject in 16th–18th century Germany, summarizing the theoretical and practical economic knowledge required in the training of officials. The assumption was that the prosperity of the ruler depended on the welfare and happiness of the subjects, but the subjects themselves were not capable of achieving this happiness without permanent directions from above. Cameralism’s emphasis on administration and university institutionalization means that this approach cannot be seen as a local variant of mercantilism. The traditional account of the German historical school from 1840 to 1945 emphasized for over a century the contrast between the German and the Neoclassical traditions. It underlined the significance of the organic approach, the concept of development and individuality, the importance of the social question, and the denial of the deductive method and unalterable laws of the economy. Modern reconstructions see the historical school as one European response to the post-Classical crisis, offering an inductive alternative grounded empirically on history. The Austrian school formed in 1871 was at once a constituent of the Neoclassical paradigm and a rival to it. Methodological individualism, subjectivism, the importance of time, the role of knowledge, the theory of alternative costs etc. were absorbed into mainstream economics, but the focusing on these issues allowed the Austrian school, in keeping alive its demand for a social-theoretical explanation, to preserve something of an alternative discourse.

Buborékok és legendák. Válságok és válságmagyarázatok - II/1. rész. A Déltengeri Társaság (Bubbles and myths crises and explanations II/1.: the South Sea bubble)

A cikk a tulipánmániával foglalkozó tanulmány folytatása (Madarász [2009]). A Déltengeri Társaság 1720-as fellendülése és kipukkadása mindmáig egyike a pénzügyi történelem leghíresebb és leggyakrabban emlegetett buborékainak. A közgazdaságtanban a buborék sokáig nem volt fontos téma, de az utóbbi időben ismét divatba jött. A tanulmány először a buborékmetafora néhány irodalmi példáját mutatja be, majd összefoglalja az angol államadósság kialakulását, a korai modern fiskális-militarista állam létrejöttét és a pénzügyi forradalom különböző interpretációit. A Déltengeri Társaság történetének, az adósság-részvény csere lebonyolításának és a korabeli vélemények spektrumának ismertetése után áttekintést ad arról, milyen módon és céllal használták fel az 1720-as eseményeket közgazdászok és történészek saját magyarázataikban. Ezek skálája a tudatos csalástól a befektetők irracionális mániáján át a racionális buborék kialakulásáig terjed. / === / The first part of the study (published here in 2009) was devoted to "tulipmania". This article continues the account of early bubbles and crises with the 1720 boom and bust of the South Sea Company, which is to this day one of the best known and most cited examples in history. For several decades, bubbles were not seen as an important issue in economic and financial theory, but recent events have focused attention on them again. The author introduces some historical examples of the bubble metaphor in literature, before giving an account of the emergence of British public debt and the fiscal-military state, and summarizing various interpretations of the financial revolution. An account of the South Sea Bubble, a detailed description of the debt-equity swap, and citations from some contemporary investors and observers are followed by an overview of the way the events of 1720 were used subsequently by various economists and historians in their own theorizing and explanations. The interpretations placed on it range from deliberate fraud, through irrational investment mania, to the emergence of a rational bubble.

Buborékok és legendák. Válságok és válságmagyarázatok II/2. rész. A Déltengeri Társaság (Bubbles and myths crises and explanations II/2.: the South Sea bubble)

A cikk a tulipánmániával foglalkozó tanulmány folytatása (Madarász [2009]). A Déltengeri Társaság 1720-as fellendülése és kipukkadása mindmáig egyike a pénzügyi történelem leghíresebb és leggyakrabban emlegetett buborékainak. A közgazdaságtanban a buborék sokáig nem volt fontos téma, de az utóbbi időben ismét divatba jött. A tanulmány először a buborékmetafora néhány irodalmi példáját mutatja be, majd összefoglalja az angol államadósság kialakulását, a korai modern fiskális-militarista állam létrejöttét és a pénzügyi forradalom különböző interpretációit. A Déltengeri Társaság történetének, az adósság-részvény csere lebonyolításának és a korabeli vélemények spektrumának ismertetése után áttekintést ad arról, milyen módon és céllal használták fel az 1720-as eseményeket közgazdászok és történészek saját magyarázataikban. Ezek skálája a tudatos csalástól a befektetők irracionális mániáján át a racionális buborék kialakulásáig terjed. / === / The first part of the study (published here in 2009) was devoted to "tulip-mania". This article continues the account of early bubbles and crises with the 1720 boom and bust of the South Sea Company, which remains to this day one of the best known and most cited examples in history. For several decades, bubbles were not seen as an important issue in economic and financial theory, but recent events have focused attention on them again. The author introduces some historical examples of the bubble metaphor in literature, before describing the emergence of British public debt and the fiscal/military state, and summarizing various interpretations of the financial revolution. An account of the South Sea Bubble, a detailed description of the debt-equity swap, and citations from some contemporary investors and observers are followed by an overview of how the events of 1720 were used subsequently by various economists and historians in their theorizing and explanations. Such interpretations range from deliberate fraud, through irrational investment mania, to the emergence of a rational bubble.

The effects of store atmosphere on shopping behaviour - A literature review.

This paper provides an insight into how the atmospherics of a retail environment influence shopping behaviour. Its objective is to support researchers and practitioners by summarizing the current state of knowledge and identifying gaps and avenues for future research. The scope covers studies in retail marketing and environmental psychology published during the last 35 years. It has been shown that environmental cues (music, scent etc.) have an effect on the emotional state of the consumer, which in turn causes behavioural changes, both positive (approach, buy more, stay longer etc.) and negative (not approach, buy less, leave earlier etc.). Most studies make reference to the PAD model, which proposes that the relevant emotions in this process can be measured along three dimensions Pleasure, Arousal and Dominance (Mehrabian, A. & Russell, J.A.,1974, An approach to environmental psychology, Cambridge, MA.: MIT Press). Since then, significant advances have been made to understand the effect of individual cues, their interaction, as well as the role of moderators, such as gender, age, or shopping motivation. However, there are a number of opportunities for further research. Too little is known about the moderating effects of Arousal and Dominance and how they interact with each other and with Pleasure dimension. Also a number of other moderators, such as gender and culture, should be integrated into the model.

Klímaváltozás és az európai lepkeszúnyogok. Az areamodellezés módszertani kérdései

The future northward expansion of the arthropod vectors of leishmaniasis caused by climate change seems to be essential veterinary and medical problem. Our aim was to build and evaluate a Climate Envelope Model (CEM) to assess the potential effects of climate change on five European sandfly species. The studied species – Phlebotomus ariasi Tonn., P. neglectus Tonn., P. papatasi Scop., P. perfiliewi Parrot, P. perniciosus Newst., P. sergenti Parrot, P. similis Perfiliev, P. tobbi Adler, Theodor et Lourie – are important vectors of the parasite Leishmania infantum or other Leishmania species. The projections were based on REMO regional climate model with European domain. The climate data were available in a 25 km resolution grid for the reference period (1961-90) and two future periods (2011-40, 2041-70). The regional climate model was based on the IPCC SRES A1B scenario. Three types of climatic parameters were used for every month (averaged in the 30-years periods). The model was supported by VBORNET digital area database (distribution maps), ESRI ArcGIS 10 software’s Spatial Analyst module (modeling environment), PAST (calibration of the model with statistical method). Iterative model evaluation was done by summarizing two types of model errors based on an aggregated distribution. The results show that the best model results can be achieved by leaving 5-5 percentiles from the two extrema of the mean temperature, 2-2 percentiles from the two extrema of the minimum temperature, 0 percentile from the minimum of and 8 percentiles from the maximum of the precipitation.

Comparison of different space indexing methods for ecological evaluation of urban openspaces

Nowadays we meet many different evaluation methods regarding the ecological performance of green surfaces and parks. All these methods are extremely valuable in determining how well a green surface performs from ecological aspect and to what extent the environment were damaged if these sites would be built or would be developed any other way causing reduction of green surfaces. The goal of the article is to clarify the differences between two evaluation methods (GSI – Green Space Intensity, BARC – Biological Activity Rate Calculation) suitable for urban green infrastructure analysis and to see if any significant difference can be observed evaluating the same site by these methods. Our research sites are in Budapest and their sizes vary between 2,5-8 acres. The most important aspects of site analysis are the following: size and boundaries of the park, existence or lack of water features, the characteristics of their surfaces and the complexity of vegetation. We summarize the data of the site analysis in tables, make a summarizing diagram for visual representation and draw conclusions from the results. As a final step, we evaluate how these two evaluation systems relate to urban open space developments.

A fogyasztói érték és az élmény kontextusa a turisztikai szakirodalomban (The context of consumer value an experience in tourism literature)

Tanulmányában a szerző a szakirodalomban fellelhető főbb fogyasztóiérték- és élménymegközelítéseket és kapcsolatokat mutatja be. A turizmus területére fókuszálva kitér az egyes érték és a hozzá szorosan kapcsolódó élménymegközelítéseken belül található nézetkülönbségekre és azonosságokra. A szerző célja, hogy bemutassa a turizmusszektorban tapasztalt fogyasztóiérték-megközelítések sokféleségét, alátámassza a fogalom tudományos szempontú tisztázatlanságát, valamint korábbi empirikus kutatások alapján összesítse a fogyasztói érték lehetséges dimenzióit a turizmusban. ____ In this paper, the author presents consumer value and experience approaches and connections found in literature. Focusing on the area of tourism she introduces value – experience connections, the differences and accordance among approaches of the experts, and the changes of the content of interpretations from time to time. The author set several targets with her work: introducing the diversity of consumer value approaches in tourism; proving the lack of the precisely and scientifically composed concept of consumer value; and based on former empirical researches summarizing the potential consumer value dimensions in tourism.

Innovációs kalandozások az elmélettől a stratégiáig = Innovation adventuring from theory to strategy

A cikk célja, hogy közelebb vigye az olvasót az innováció és az innovációmenedzsment kérdésköréhez. A tanulmány az innováció témakörének feldolgozását a vállalatelméleti alapoktól kezdi, majd konkrét stratégiai megfontolásokig jut el a cikk végére. A tanulmány széles körű hazai és nemzetközi szakirodalom alapján tárja fel az innováció vállalatelméleti gyökereit. A felhasznált irodalom nem ragad meg elméleti szinten, hiszen a tanulmány lefordítja ezeket az elméleti koncepciókat valós, gyakorlatorientált üzleti nyelvre. Célja, hogy a nagyvilágban szétszórt elméleteket letisztítsa, és a modern kori menedzsmentelvekkel szintetizálja. A cikk az innovációt a vállalati értékteremtés szemszögéből vizsgálja. Megállapítja, hogy az innováció számos vállalatelmélet tanait integrálja egybe, aminek következtében a stratégiai implikációk is széles spektrumon mozoghatnak. Ahogy az innováció változást indukál a szervezetben, úgy bukkannak fel komplex optimalizálási dilemmák, amelyek a turbulens gazdasági környezetben, a rövidülő reakcióidők miatt, egyre nagyobb kihívást okoznak a menedzserek számára. A cikk ezeket a dilemmákat mutatja be vitaindító attitűddel, valamint az elmélet és a gyakorlat szintetizálásával. ____ The aim of the article is to bring the reader closer to the topic of innovation management through several company theories and strategic implications. This study is based on a wide range of international literature which is interpreted in a practice oriented way. This article is summarizing the sporadic information on innovation as well as makes an effort on synthesizing this knowledge. The aspect of observation is mainly based on corporate value creation. As innovation causes changes into the organization company leaders have to face complex economic optimization questions. These management dilemmas are not easy to solve in this turbulent business environment. This article tries to highlight these strategic level issues around innovation management by synthesizing theoretical knowledge with business implications.

Document understanding using data mining and machine learning techniques

With the explosive growth of the volume and complexity of document data (e.g., news, blogs, web pages), it has become a necessity to semantically understand documents and deliver meaningful information to users. Areas dealing with these problems are crossing data mining, information retrieval, and machine learning. For example, document clustering and summarization are two fundamental techniques for understanding document data and have attracted much attention in recent years. Given a collection of documents, document clustering aims to partition them into different groups to provide efficient document browsing and navigation mechanisms. One unrevealed area in document clustering is that how to generate meaningful interpretation for the each document cluster resulted from the clustering process. Document summarization is another effective technique for document understanding, which generates a summary by selecting sentences that deliver the major or topic-relevant information in the original documents. How to improve the automatic summarization performance and apply it to newly emerging problems are two valuable research directions. To assist people to capture the semantics of documents effectively and efficiently, the dissertation focuses on developing effective data mining and machine learning algorithms and systems for (1) integrating document clustering and summarization to obtain meaningful document clusters with summarized interpretation, (2) improving document summarization performance and building document understanding systems to solve real-world applications, and (3) summarizing the differences and evolution of multiple document sources.