Professor |
Associate Professor |
Query expansion techniques for query-oriented document summarization are key topics
in research conducted by the Software Engineering Lab members. This year, our focus was on techniques to expand the user queries. The goal was to improve the accuracy of retrieval and the quality of the summaries of scientific documents created on the fly. Results of our investigations and tests were presented at the IEEE 2009 Joint Conferences on Pervasive Computing, the 2009 IEEE 5th International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, . The aim of our work in the area of text mining was to improve Web search service. The prototype of the system generating summaries on the fly designed last year was significantly improved. Our study was supported by a grant from the University of Aizu Competitive Research Funding. Students of our lab were involved in this research. Results of the research were presented at the Second International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services and at The 12th International Conference on Humans and Computers. |
[vkluev-01:2009] |
V. Klyuev. An Approach to Implementing an Intelligent Web Search.
Journal of Communication and Computer, 6(7 (Serial No 56),):52–57, 2009. |
In this paper, we discuss the fetures of the functional approach to present English texts
in the memory of computers. It makes it possible to keep semantic relations between
words. These relations can be taken into account when indexing documents and when
performing searching. The factoid question answering task is one of the possible applications
of this approach. |
[vkluev-03:2009] |
S. Ebisu and V. Klyuev. An Algorithm to Generate Indicative Summaries
for Japanese Documents. In Proceedings of the 12th International
Conference on Humans and Computers, pages 191–194. University of Aizu,
December 2009. |
In this paper, we propose an algorithm that chooses the most important sentences
semantically relevant to the user query and derives the paragraphs including them.
This algorithm is applicable to the Japanese language. |
|
[vkluev-04:2009] |
V. Oleshchuk and V. Klyuev. Context-Aware Summary Generation for
Web Pages. In Proceedings of the 2009 IEEE 5th International Workshop on
Intelligent Data Acquisition and Advanced Computing Systems: Technology
and Applications (IDAACS), Rende, Italy, 2009, pages 561–564. IEEE, IEEE,
September 2009. |
General purpose search engines provide users with lists of retrieved documents in
response to their queries. The common structure of list elements includes the title
of a document, its URL, and small snippet from the text. Snippets are evidence of
occurrences of query ’s keywords in the document. The length of each snippet is
just a couple of lines. They cannot play a role of summaries of retrieved documents:
In many cases, they are not indicative and users cannot judge on the relevancy of
documents. In our approach we use ontology as context description and that ontology
will be used to describe user ’s main interest with respect to wanted summary and
help to select weighting of key words and other semantically related words. Using
such semantically related words would make it possible to generate summaries that
are more semantically focused with respect to user ’s interests/queries. |
|
[vkluev-05:2009] |
A. Yokoyama and V. Klyuev. Query expansion using WordNet for
the Japanese information retrieval task. In Proc. of the XL Conference on
Control Processes and Stability, 2009,, pages 385–389. Saint Petersburg State
University, Saint Petersburg State University Publishing Press, April 2009. |
Nowadays, Internet users are familiar with the Web searching process; and the searching
is the most common tasks performed on the Web. On the other hand, users receive
non relevant information in response to queries. The web search is especially difficult
for beginners when they utilize a keyword query language. Usually beginner users apply ambiguous queries. Our goal is to make the search process more convenient for
them. We assume the first page returned by a search engine is the most important
one for the user. We find the most important terms on the page, assuming they are
related to the user query words. In addition to that, we get synonyms and hyponyms
for the words in the user query utilizing WordNet. We combine aforementioned words
together. This expanded query is then submitted to the search engine. These functions
are done automatically, so the web searching process is becoming easier for beginners. |
|
[vkluev-06:2009] |
D. Vazhenin, S. Ishikawa, and V. Klyuev. A User-Oriented Web Retrieval
Summarization Tool. In Proceedings of the Second International Conference
on Advances in Human-Oriented and Personalized Mechanisms, Technologies,
and Services, Porto, Portugal, 2009, pages 73–78. IEEE Computer
Society, September 2009. |
The information resources on the web become increasingly global in nature. Their
amount is continuingly growing. A solution to summarize the retrieved pages on the
fly and to design the simplest user interface is possible approach to improve and speed
up the retrieval of the information from the web. This paper discusses the algorithms
to implement the aforementioned approach and results of preliminary experiments. |
|
[vkluev-07:2009] |
S. Satake, S. Ishikawa, D. Vazhenin, and V. Klyuev. A Semantic-Based
Summarizing Tool for Improving the Usability of General Purpose Search Engines.
In Proceedings of The 2009 Joint Conferences on Pervasive Computing,
pages 5 p, CD edition. IEEE, IEEE, December 2009. |
Nowadays, the Internet is an important source of scientific information. However,
retrieval of relevant information on the Web still remains difficult. To simplify this
process, we designed a semantic summarizing tool for scientific publications retrieved
from the Web. In this paper, we presented the architecture of our approach and
demonstrated how our solution works. |
[vkluev-02:2009] |
V. Klyuev. How to Make a Web Search more Intelligent (In Japanese).
Fukushima Review, ISSN 0288-0954, (7):40–44, 2009. |
This paper analyzes the intelligent approaches to create a next generation of search
engines. Illustrative examples are provided. |
[vkluev-08:2009] |
G. Nikishkov V. Klyuev. ICTs for Modern Educational and Instructional
Advancement: New Approaches to Teaching, Chapter 13: Using a Web-
Based System to support Teaching Processes., pages 151–166. IGI Global, 2010. |
[vkluev-09:2009] |
V. Klyuev. Fellowship under the Joint programme between the Research
Council of Norway (RCN) and the Japan Society, 2009. |
[vkluev-10:2009] |
V Klyuev, Apr. 2009. Member: IEEE, IEIC |
[vkluev-11:2009] |
Denis Vazhenin. Master Thesis: Architecture of a Summarizing Tool
for General Purpose Search Engines, University of Aizu, 2009. Thesis Advisor: V. Klyuev |
[vkluev-12:2009] |
Satoru Satake. Master Thesis: Applied Methods for a Semanticallybased
Summarizing Tool, University of Aizu, 2009. Thesis Advisor: V. Klyuev |
[vkluev-13:2009] |
Satoru Ishikawa. Master Thesis: Summarizing Tool for General Purpose
Search Engines: Tests and Evaluation, University of Aizu, 2009. Thesis Advisor: V. Klyuev |
[vkluev-14:2009] |
Ai Yokoyama. Graduation Thesis: Search Engine Query Expansion
using Japanese WordNet, University of Aizu, 2010. Thesis Advisor: V. Klyuev |
[vkluev-15:2009] |
Sayuri Ebisu. Graduation Thesis: An Approach to Generate Indicative
Summaries for Japanese Documents, University of Aizu, 2010. Thesis Advisor: V. Klyuev |
[vkluev-16:2009] |
Yuta Hiraki. Graduation Thesis: Comparison of Summarization Methods,
University of Aizu, 2010. Thesis Advisor: V. Klyuev |