Konstanty Haniewicz

Architecture for Web Services Filtering and Clustering

The need for filtering of services results from the ever growing number of available Web services which offer similar functionalities. The filtering process is based not only on the functional aspects of services, but also on non-functional ones. One of the weaknesses of the filtering process is lack of high efficiency and its complexity as processing ontological descriptions and reasoning on them is extremely time-consuming. In order to speed-up the filtering process, clustering techniques that would narrow the set of potential services which meet users preferences may be introduced. In this article the architecture for Semantic Web services filtering and clustering system is shortly discussed.

Semantic Compression for Specialised Information Retrieval Systems

The aim of this work is to present methods some of the ongoing research done as a part of development of Semantically Enhanced Intellectual Property Protection System - SEIPro2S. Main focus is on description of methods that allow for creation of more concise documents preserving semantically the same meaning as their originals. Thus, compacting methods are denoted as a semantic compression.

Semantically Enhanced Intellectual Property Protection System - SEIPro2S

The aim of this work is to present some of the capabilities of a Semantically Intellectual Enhanced Property Protection System. The system has reached a prototype phase where experiments are possible. It uses an extensive semantic net algorithms for Polish language that enable it to detect similarities in two compared documents on a level far beyond simple text matching. SEIPro2S benefits both from using a local document repository and from Web based resources. Main focus of this work is to give a reader overview of architecture and some actual results.

Semantic Web Services Applications - a Reality Check

ZusammenfassungDer Aufsatz gibt einen Überblick über den Entwicklungsstand der Technologie von Semantic-Web-Services. Im Mittelpunkt steht der Vergleich zwischen der akademischen Forschung und der tatsächlichen Akzeptanz in der Wirtschaft. Der Beitrag schließt mit einer Betrachtung der Gründe für die zögerliche Anwendung der Technologie.AbstractThis article aims at providing an overview of the current state of development of Semantic Web services technology. The focus is on a comparison between the research held in the academia and the Semantic Web services adoption in the industry. The reasons that hamper the application of this technology are also given.

Quality of semantic compression in classification

Article presents results of implementation of semantic compression for English. An idea of semantic compression is reintroduced with examples and steps taken to perform experiment are given. A task of re-engineering available structures in order to apply them to already existing project infrastructure for experiments is described. Experiment demonstrates validity of research along with real examples of semantically compressed documents.

Towards Knowledge Acquisition with WiSENet

This article is a continuation of research work started with an idea of semantic compression. As authors proved that semantic compression is viable concept for English, they decided to focus on potential applications. An algorithm is presented that employing WiSENet allows for knowledge acquisition with flexible rules that yield high precision results. Detailed discussion is given with description of devised algorithm, usage examples and results of experiments.

Fast plagiarism detection by sentence hashing

This work presents a Sentence Hashing Algorithm for Plagiarism Detection - SHAPD. To present a user with the best results the algorithm makes use of special trait of the written texts - their natural sentence fragmentation, later employing a set of special techniques for text representation. Results obtained demonstrate that the algorithm delivers solution faster than the alternatives. Its algorithmic complexity is logarithmic, thus its performance is better than most algorithms using dynamic programming used to find the longest common subsequence.

Semantic Modelling of Collaborative Business Processes

Business collaboration is a special type of a business process that involves at least two, but typically more partners and usually is described using a choreography model. The complexity of collaborative business processes causes difficulties in modelling them in a user friendly manner and even more difficulties in representing them in a machine understandable form. The main goal of this paper is to discuss the scope of the semantic support that is required for the needs of automation of collaborative business processes as well as possible benefits resulting from machine readable annotation of choreography models.

Towards the Lexicon-Based Sentiment Analysis of Polish Texts: Polarity Lexicon

Due to the increasing amount of information available on the Web, sentiment analysis aiming at an automatic identification of the emotional load of texts is growing in importance. The aim of our research is to devise a reliable method for analsing sentiment in Polish texts, which requires developing adequate polarity lexical resources. In this paper, we discuss a method of building a fine-grained polarity lexicon for Polish based on custom-built review corpora. The compiled lexicon is subsequently tested in the field of sentiment analysis reaching the accuracy level of up to 79%.

Polarity Lexicon for the Polish Language: Design and Extension with Random Walk Algorithm

Sentiment analysis aims at an automatic assignment to a portion of text a value expressing an emotional attitude towards its content. Out of numerous efficient methods for investigating sentiment, the authors decided to opt for the lexicon-based approach. A necessary prerequisite for adopting it was the availability of specific lexical resources for the investigated language. While there are substantial readily accessible polarity resources for English, those for Polish are meagre and, to the best of our knowledge, none of them is able to fully support sentiment analysis. Accordingly, the main objective of the presented work is to plug this gap in academic research by creating in an automated manner, a polarity lexical resource for the Polish language. In this paper, we present the motivation for the study and the key mechanisms underlying the development of the polarity lexicon, elucidate the linguistic phenomena to be reckoned with in the process, as well as discuss the random walk algorithm used to extend the obtained polarity resources. Finally, the results of the conducted experiments and the newly compiled polarity lexicon are demonstrated.