Information Technology Reference
In-Depth Information
Table 10.1.
A summary of paths found between the reference and core publication
Path length Amount of paths
Distinct vertices
4
2
5
5
7
13
6
17
32
7
27
51
8
33
58
9
48
59
10
62
60
11
46
61
12
29
61
13
22
61
14
11
61
15
2
61
2002
2001
2000
1998
1997
1996
1995
1994
1993
1979
1999
7
3
4
5
18
31
16
17
10
11
21
24
27
32
1
2
29
13
19
26
28
8
9
14
23
25
30
15
20
22
12
6
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Predicting Query Performance
Relevance-Based Language Models
Relating the New Language Models of Information Retrieval to the Traditional Retrieval Models
Bridging the Lexical Chasm: Statistical Approaches to Answer-Finding
Improving the Effectiveness of Informational Retrieval with Local Context Analysis
Statistical Models for Tracking and Detection
The Mirror DBMS at TREC-8
OCELOT: A system for summarizing web pages
Dragon's Tracking and Detection Systems for the TDT2000 Evaluation
Topic Tracking in a News Stream
Probabilistic Latent Semantic Indexing
Automated Text Summarization in SUMMARIST
A General Language Model for Information Retrieval
A Hidden Markov Model Information Retrieval System
Summarizing Text Documents: Sentence Selection and Evaluation Metrics
Unsupervised Learning from Dyadic Data
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
MiRRor: Multimedia Query Processing in Extensible Databases
Effective Retrieval with Distributed Collections
Topic Detection and Tracking Pilot Study Final Report
On-line New Event Detection and Tracking
Boosting and Rocchio Applied to Text Filtering
Study on Retrospective and On-Line Event Detection
The TREC-5 Filtering Track
Context-Sensitive Learning Methods for Text Categorization
Text-Based Information Retrieval Using Exponentiated Gradient Descent
Training Algorithms for Linear Text Classifiers
Providing Government Information on the Internet: Experiences with THOMAS
Evaluating and Optimizing Autonomous Text Classification Systems
Corpus-Specific Stemming using Word Form Co-occurrence
Optimizing Ranking Functions: A Connectionist Approach to Adaptive Information Retrieval
Using Statistical Testing in the Evaluation of Retrieval Experiments
Information Retrieval
Fig. 10.16.
Publication search result visualization
represents a publication and the edges incorporating such publication its cita-
tion relation, a path between a pair of vertices having length greater then two
represents an indirect citation relation. We would like to study this indirect ci-
tation relation between certain - important publications in this citation graph
to identify important publications in the particular context.
Our testing citation graph was built around Van Rijsbergen's
Information Re-
trieval
[21] which was identified as a very important publication in the IR field for
it's high number of citations by other publications. We followed an idea that if we
come across some newer publication that we consider interesting to our research
that falls into the same scientific field then there is a high probability that there
exists either direct or indirect citation of our core book. If there exists an indirect
